@article {49816, title = {Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction}, journal = {PLOS Computational Biology}, volume = {12}, year = {2016}, month = {Mar-09-2018}, pages = {e1005125}, doi = {10.1371/journal.pcbi.1005125}, url = {http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005125}, author = {Auslander, Noam and Wagner, Allon and Oberhardt, Matthew and Ruppin, Eytan}, editor = {Przytycka, Teresa M.} } @article {49730, title = {Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease.}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016}, pages = {8994}, abstract = {

Non-alcoholic fatty liver disease (NAFLD) is a major risk factor leading to chronic liver disease and type 2 diabetes. Here we chart liver metabolic activity and functionality in NAFLD by integrating global transcriptomic data, from human liver biopsies, and metabolic flux data, measured across the human splanchnic vascular bed, within a genome-scale model of human metabolism. We show that an increased amount of liver fat induces mitochondrial metabolism, lipolysis, glyceroneogenesis and a switch from lactate to glycerol as substrate for gluconeogenesis, indicating an intricate balance of exacerbated opposite metabolic processes in glycemic regulation. These changes were associated with reduced metabolic adaptability on a network level in the sense that liver fat accumulation puts increasing demands on the liver to adaptively regulate metabolic responses to maintain basic liver functions. We propose that failure to meet excessive metabolic challenges coupled with reduced metabolic adaptability may lead to a vicious pathogenic cycle leading to the co-morbidities of NAFLD.

}, issn = {2041-1723}, doi = {10.1038/ncomms9994}, author = {Hy{\"o}tyl{\"a}inen, Tuulia and Jerby, Livnat and Pet{\"a}j{\"a}, Elina M and Mattila, Ismo and J{\"a}ntti, Sirkku and Auvinen, Petri and Gastaldelli, Amalia and Yki-J{\"a}rvinen, Hannele and Ruppin, Eytan and Ore{\v s}i{\v c}, Matej} } @article {49800, title = {Mash: fast genome and metagenome distance estimation using MinHash}, journal = {Genome Biology}, year = {2016}, month = {Jan-12-2016}, doi = {10.1186/s13059-016-0997-x}, url = {http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0997-xhttp://link.springer.com/content/pdf/10.1186/s13059-016-0997-x}, author = {Ondov, Brian D. and Todd Treangen and Melsted, {\'a}ll and Mallonee, Adam B. and Bergman, Nicholas H. and Koren, Sergey and Phillippy, Adam M.} } @article {49785, title = {Metabolic Network Prediction of Drug Side Effects}, journal = {Cell Systems}, volume = {2}, year = {2016}, month = {Jan-03-2016}, pages = {209 - 213}, issn = {24054712}, doi = {10.1016/j.cels.2016.03.001}, url = {http://linkinghub.elsevier.com/retrieve/pii/S2405471216300734http://api.elsevier.com/content/article/PII:S2405471216300734?httpAccept=text/xmlhttp://api.elsevier.com/content/article/PII:S2405471216300734?httpAccept=text/plain}, author = {Shaked, Itay and Oberhardt, ~A. and Atias, Nir and Sharan, Roded and Ruppin, Eytan} } @article {49729, title = {Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5{\textquoteright}-Phosphate Production in E. coli.}, journal = {PLoS Comput Biol}, volume = {12}, year = {2016}, month = {2016 Jan}, pages = {e1004705}, abstract = {

Recent insights suggest that non-specific and/or promiscuous enzymes are common and active across life. Understanding the role of such enzymes is an important open question in biology. Here we develop a genome-wide method, PROPER, that uses a permissive PSI-BLAST approach to predict promiscuous activities of metabolic genes. Enzyme promiscuity is typically studied experimentally using multicopy suppression, in which over-expression of a promiscuous {\textquoteright}replacer{\textquoteright} gene rescues lethality caused by inactivation of a {\textquoteright}target{\textquoteright} gene. We use PROPER to predict multicopy suppression in Escherichia coli, achieving highly significant overlap with published cases (hypergeometric p = 4.4e-13). We then validate three novel predicted target-replacer gene pairs in new multicopy suppression experiments. We next go beyond PROPER and develop a network-based approach, GEM-PROPER, that integrates PROPER with genome-scale metabolic modeling to predict promiscuous replacements via alternative metabolic pathways. GEM-PROPER predicts a new indirect replacer (thiG) for an essential enzyme (pdxB) in production of pyridoxal 5{\textquoteright}-phosphate (the active form of Vitamin B6), which we validate experimentally via multicopy suppression. We perform a structural analysis of thiG to determine its potential promiscuous active site, which we validate experimentally by inactivating the pertaining residues and showing a loss of replacer activity. Thus, this study is a successful example where a computational investigation leads to a network-based identification of an indirect promiscuous replacement of a key metabolic enzyme, which would have been extremely difficult to identify directly.

}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1004705}, author = {Oberhardt, Matthew A and Zarecki, Raphy and Reshef, Leah and Xia, Fangfang and Duran-Frigola, Miquel and Schreiber, Rachel and Henry, Christopher S and Ben-Tal, Nir and Dwyer, Daniel J and Gophna, Uri and Ruppin, Eytan} } @article {49794, title = {Transcriptome Remodeling in Trypanosoma cruzi and Human Cells during Intracellular Infection.}, journal = {PLoS Pathog}, volume = {12}, year = {2016}, month = {2016 Apr}, pages = {e1005511}, abstract = {

Intracellular colonization and persistent infection by the kinetoplastid protozoan parasite, Trypanosoma cruzi, underlie the pathogenesis of human Chagas disease. To obtain global insights into the T. cruzi infective process, transcriptome dynamics were simultaneously captured in the parasite and host cells in an infection time course of human fibroblasts. Extensive remodeling of the T. cruzi transcriptome was observed during the early establishment of intracellular infection, coincident with a major developmental transition in the parasite. Contrasting this early response, few additional changes in steady state mRNA levels were detected once mature T. cruzi amastigotes were formed. Our findings suggest that transcriptome remodeling is required to establish a modified template to guide developmental transitions in the parasite, whereas homeostatic functions are regulated independently of transcriptomic changes, similar to that reported in related trypanosomatids. Despite complex mechanisms for regulation of phenotypic expression in T. cruzi, transcriptomic signatures derived from distinct developmental stages mirror known or projected characteristics of T. cruzi biology. Focusing on energy metabolism, we were able to validate predictions forecast in the mRNA expression profiles. We demonstrate measurable differences in the bioenergetic properties of the different mammalian-infective stages of T. cruzi and present additional findings that underscore the importance of mitochondrial electron transport in T. cruzi amastigote growth and survival. Consequences of T. cruzi colonization for the host include dynamic expression of immune response genes and cell cycle regulators with upregulation of host cholesterol and lipid synthesis pathways, which may serve to fuel intracellular T. cruzi growth. Thus, in addition to the biological inferences gained from gene ontology and functional enrichment analysis of differentially expressed genes in parasite and host, our comprehensive, high resolution transcriptomic dataset provides a substantially more detailed interpretation of T. cruzi infection biology and offers a basis for future drug and vaccine discovery efforts.

}, issn = {1553-7374}, doi = {10.1371/journal.ppat.1005511}, author = {Li, Yuan and Shah-Simpson, Sheena and Okrah, Kwame and Belew, A Trey and Choi, Jungmin and Caradonna, Kacey L and Padmanabhan, Prasad and Ndegwa, David M and Temanni, M Ramzi and Corrada Bravo, Hector and El-Sayed, Najib M and Burleigh, Barbara A} } @article {49659, title = {Glutamine synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma}, journal = {Nature Cell Biology}, volume = {17}, year = {2015}, month = {Nov-11-2016}, pages = {1556 - 1568}, issn = {1465-7392}, doi = {10.1038/ncb3272}, url = {http://www.nature.com/doifinder/10.1038/ncb3272}, author = {Tardito, Saverio and Oudin, {\"\i}s and Ahmed, Shafiq U. and Fack, Fred and Keunen, Olivier and Zheng, Liang and Miletic, Hrvoje and Sakariassen, {\O}ystein and Weinstock, Adam and Wagner, Allon and Lindsay, Susan L. and Hock, Andreas K. and Barnett, Susan C. and Ruppin, Eytan and {\o}rkve, Svein Harald and Lund-Johansen, Morten and Chalmers, Anthony J. and Bjerkvig, Rolf and Niclou, Simone P. and Gottlieb, Eyal} } @article {49723, title = {Harnessing the landscape of microbial culture media to predict new organism-media pairings.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {8493}, abstract = {

Culturing microorganisms is a critical step in understanding and utilizing microbial life. Here we map the landscape of existing culture media by extracting natural-language media recipes into a Known Media Database (KOMODO), which includes >18,000 strain-media combinations, >3300 media variants and compound concentrations (the entire collection of the Leibniz Institute DSMZ repository). Using KOMODO, we show that although media are usually tuned for individual strains using biologically common salts, trace metals and vitamins/cofactors are the most differentiating components between defined media of strains within a genus. We leverage KOMODO to predict new organism-media pairings using a transitivity property (74\% growth in new in vitro experiments) and a phylogeny-based collaborative filtering tool (83\% growth in new in vitro experiments and stronger growth on predicted well-scored versus poorly scored media). These resources are integrated into a web-based platform that predicts media given an organism{\textquoteright}s 16S rDNA sequence, facilitating future cultivation efforts.

}, issn = {2041-1723}, doi = {10.1038/ncomms9493}, author = {Oberhardt, Matthew A and Zarecki, Raphy and Gronow, Sabine and Lang, Elke and Klenk, Hans-Peter and Gophna, Uri and Ruppin, Eytan} } @article {49612, title = {Microbiota that affect risk for shigellosis in children in low-income countries}, journal = {Emerg Infect DisEmerg Infect Dis}, volume = {21}, number = {2}, year = {2015}, note = {Lindsay, Brianna
Oundo, Joe
Hossain, M Anowar
Antonio, Martin
Tamboura, Boubou
Walker, Alan W
Paulson, Joseph N
Parkhill, Julian
Omore, Richard
Faruque, Abu S G
Das, Suman Kumar
Ikumapayi, Usman N
Adeyemi, Mitchell
Sanogo, Doh
Saha, Debasish
Sow, Samba
Farag, Tamer H
Nasrin, Dilruba
Li, Shan
Panchalingam, Sandra
Levine, Myron M
Kotloff, Karen
Magder, Laurence S
Hungerford, Laura
Sommerfelt, Halvor
Pop, Mihai
Nataro, James P
Stine, O Colin
U19 090873/PHS HHS/United States
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov{\textquoteright}t
Research Support, U.S. Gov{\textquoteright}t, Non-P.H.S.
United States
Emerg Infect Dis. 2015 Feb;21(2):242-50. doi: 10.3201/eid2101.140795.}, month = {Feb}, pages = {242-50}, edition = {2015/01/28}, abstract = {Pathogens in the gastrointestinal tract exist within a vast population of microbes. We examined associations between pathogens and composition of gut microbiota as they relate to Shigella spp./enteroinvasive Escherichia coli infection. We analyzed 3,035 stool specimens (1,735 nondiarrheal and 1,300 moderate-to-severe diarrheal) from the Global Enteric Multicenter Study for 9 enteropathogens. Diarrheal specimens had a higher number of enteropathogens (diarrheal mean 1.4, nondiarrheal mean 0.95; p<0.0001). Rotavirus showed a negative association with Shigella spp. in cases of diarrhea (odds ratio 0.31, 95\% CI 0.17-0.55) and had a large combined effect on moderate-to-severe diarrhea (odds ratio 29, 95\% CI 3.8-220). In 4 Lactobacillus taxa identified by 16S rRNA gene sequencing, the association between pathogen and disease was decreased, which is consistent with the possibility that Lactobacillus spp. are protective against Shigella spp.-induced diarrhea. Bacterial diversity of gut microbiota was associated with diarrhea status, not high levels of the Shigella spp. ipaH gene.}, isbn = {1080-6059 (Electronic)
1080-6040 (Linking)}, author = {Lindsay, B. and Oundo, J. and Hossain, M. A. and Antonio, M. and Tamboura, B. and Walker, A. W. and Paulson, J. N. and Parkhill, J. and Omore, R. and Faruque, A. S. and Das, S. K. and Ikumapayi, U. N. and Adeyemi, M. and Sanogo, D. and Saha, D. and Sow, S. and Farag, T. H. and Nasrin, D. and Li, S. and Panchalingam, S. and Levine, M. M. and Kotloff, K. and Magder, L. S. and Hungerford, L. and Sommerfelt, H. and Pop, M. and Nataro, J. P. and Stine, O. C.} } @article {49606, title = {Orchestrating high-throughput genomic analysis with Bioconductor.}, volume = {12}, year = {2015}, month = {2015 Feb}, pages = {115-21}, abstract = {

Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.

}, keywords = {Computational Biology, Gene Expression Profiling, Genomics, High-Throughput Screening Assays, Programming Languages, software, User-Computer Interface}, issn = {1548-7105}, doi = {10.1038/nmeth.3252}, author = {Huber, Wolfgang and Carey, Vincent J and Gentleman, Robert and Anders, Simon and Carlson, Marc and Carvalho, Benilton S and Bravo, H{\'e}ctor Corrada and Davis, Sean and Gatto, Laurent and Girke, Thomas and Gottardo, Raphael and Hahne, Florian and Hansen, Kasper D and Irizarry, Rafael A and Lawrence, Michael and Love, Michael I and MacDonald, James and Obenchain, Valerie and Ole{\'s}, Andrzej K and Pag{\`e}s, Herv{\'e} and Reyes, Alejandro and Shannon, Paul and Smyth, Gordon K and Tenenbaum, Dan and Waldron, Levi and Morgan, Martin} } @article {49609, title = {Shape analysis of high-throughput transcriptomics experiment data.}, volume = {16}, year = {2015}, month = {2015 Oct}, pages = {627-40}, abstract = {

The recent growth of high-throughput transcriptome technology has been paralleled by the development of statistical methodologies to analyze the data they produce. Some of these newly developed methods are based on the assumption that the data observed or a transformation of the data are relatively symmetric with light tails, usually summarized by assuming a Gaussian random component. It is indeed very difficult to assess this assumption for small sample sizes. In this article, we utilize L-moments statistics as the basis of exploratory data analysis, the assessment of distributional assumptions, and the hypothesis testing of high-throughput transcriptomic data. In particular, we use L-moments ratios for assessing the shape (skewness and kurtosis) of high-throughput transcriptome data. Based on these statistics, we propose an algorithm for identifying genes with distributions that are markedly different from the majority in the data. In addition, we also illustrate the utility of this framework to characterize the robustness of distributional assumptions. We apply it to RNA-seq data and find that methods based on the simple [Formula: see text]-test for differential expression analysis using L-moments as weights are robust.

}, issn = {1468-4357}, doi = {10.1093/biostatistics/kxv018}, author = {Okrah, Kwame and Corrada Bravo, Hector} } @article {49796, title = {Simultaneous transcriptional profiling of Leishmania major and its murine macrophage host cell reveals insights into host-pathogen interactions.}, journal = {BMC Genomics}, volume = {16}, year = {2015}, month = {2015}, pages = {1108}, abstract = {

BACKGROUND: Parasites of the genus Leishmania are the causative agents of leishmaniasis, a group of diseases that range in manifestations from skin lesions to fatal visceral disease. The life cycle of Leishmania parasites is split between its insect vector and its mammalian host, where it resides primarily inside of macrophages. Once intracellular, Leishmania parasites must evade or deactivate the host{\textquoteright}s innate and adaptive immune responses in order to survive and replicate.

RESULTS: We performed transcriptome profiling using RNA-seq to simultaneously identify global changes in murine macrophage and L. major gene expression as the parasite entered and persisted within murine macrophages during the first 72 h of an infection. Differential gene expression, pathway, and gene ontology analyses enabled us to identify modulations in host and parasite responses during an infection. The most substantial and dynamic gene expression responses by both macrophage and parasite were observed during early infection. Murine genes related to both pro- and anti-inflammatory immune responses and glycolysis were substantially upregulated and genes related to lipid metabolism, biogenesis, and Fc gamma receptor-mediated phagocytosis were downregulated. Upregulated parasite genes included those aimed at mitigating the effects of an oxidative response by the host immune system while downregulated genes were related to translation, cell signaling, fatty acid biosynthesis, and flagellum structure.

CONCLUSIONS: The gene expression patterns identified in this work yield signatures that characterize multiple developmental stages of L. major parasites and the coordinated response of Leishmania-infected macrophages in the real-time setting of a dual biological system. This comprehensive dataset offers a clearer and more sensitive picture of the interplay between host and parasite during intracellular infection, providing additional insights into how pathogens are able to evade host defenses and modulate the biological functions of the cell in order to survive in the mammalian environment.

}, issn = {1471-2164}, doi = {10.1186/s12864-015-2237-2}, author = {Dillon, Laura A L and Suresh, Rahul and Okrah, Kwame and Corrada Bravo, Hector and Mosser, David M and El-Sayed, Najib M} } @article {49539, title = {Transcriptomic profiling of gene expression and RNA processing during Leishmania major differentiation.}, volume = {43}, year = {2015}, month = {2015 Aug 18}, pages = {6799-813}, abstract = {

Protozoan parasites of the genus Leishmania are the etiological agents of leishmaniasis, a group of diseases with a worldwide incidence of 0.9-1.6 million cases per year. We used RNA-seq to conduct a high-resolution transcriptomic analysis of the global changes in gene expression and RNA processing events that occur as L. major transforms from non-infective procyclic promastigotes to infective metacyclic promastigotes. Careful statistical analysis across multiple biological replicates and the removal of batch effects provided a high quality framework for comprehensively analyzing differential gene expression and transcriptome remodeling in this pathogen as it acquires its infectivity. We also identified precise 5{\textquoteright} and 3{\textquoteright} UTR boundaries for a majority of Leishmania genes and detected widespread alternative trans-splicing and polyadenylation. An investigation of possible correlations between stage-specific preferential trans-splicing or polyadenylation sites and differentially expressed genes revealed a lack of systematic association, establishing that differences in expression levels cannot be attributed to stage-regulated alternative RNA processing. Our findings build on and improve existing expression datasets and provide a substantially more detailed view of L. major biology that will inform the field and potentially provide a stronger basis for drug discovery and vaccine development efforts.

}, issn = {1362-4962}, doi = {10.1093/nar/gkv656}, author = {Dillon, Laura A L and Okrah, Kwame and Hughitt, V Keith and Suresh, Rahul and Li, Yuan and Fernandes, Maria Cecilia and Belew, A Trey and Corrada Bravo, Hector and Mosser, David M and El-Sayed, Najib M} } @article {49863, title = {Complete genome sequence of the quality control strain Staphylococcus aureus subsp. aureus ATCC 25923}, journal = {Genome announcements}, volume = {2}, year = {2014}, pages = {e01110{\textendash}14}, author = {Treangen, Todd J and Maybank, Rosslyn A and Enke, Sana and Friss, Mary Beth and Diviak, Lynn F and Karaolis, David KR and Koren, Sergey and Ondov, Brian and Phillippy, Adam M and Bergman, Nicholas H} } @article {49600, title = {Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.}, volume = {15}, year = {2014}, month = {2014}, pages = {R76}, abstract = {

BACKGROUND: Diarrheal diseases continue to contribute significantly to morbidity and mortality in infants and young children in developing countries. There is an urgent need to better understand the contributions of novel, potentially uncultured, diarrheal pathogens to severe diarrheal disease, as well as distortions in normal gut microbiota composition that might facilitate severe disease.

RESULTS: We use high throughput 16S rRNA gene sequencing to compare fecal microbiota composition in children under five years of age who have been diagnosed with moderate to severe diarrhea (MSD) with the microbiota from diarrhea-free controls. Our study includes 992 children from four low-income countries in West and East Africa, and Southeast Asia. Known pathogens, as well as bacteria currently not considered as important diarrhea-causing pathogens, are positively associated with MSD, and these include Escherichia/Shigella, and Granulicatella species, and Streptococcus mitis/pneumoniae groups. In both cases and controls, there tend to be distinct negative correlations between facultative anaerobic lineages and obligate anaerobic lineages. Overall genus-level microbiota composition exhibit a shift in controls from low to high levels of Prevotella and in MSD cases from high to low levels of Escherichia/Shigella in younger versus older children; however, there was significant variation among many genera by both site and age.

CONCLUSIONS: Our findings expand the current understanding of microbiota-associated diarrhea pathogenicity in young children from developing countries. Our findings are necessarily based on correlative analyses and must be further validated through epidemiological and molecular techniques.

}, keywords = {Bangladesh, Base Sequence, Case-Control Studies, Child, Preschool, Diarrhea, Infantile, Dysentery, Feces, Female, Gambia, HUMANS, Infant, Infant, Newborn, Intestines, Kenya, Male, Mali, Microbiota, Molecular Typing, Poverty, RNA, Bacterial, RNA, Ribosomal, 16S}, issn = {1474-760X}, doi = {10.1186/gb-2014-15-6-r76}, author = {Pop, Mihai and Walker, Alan W and Paulson, Joseph and Lindsay, Brianna and Antonio, Martin and Hossain, M Anowar and Oundo, Joseph and Tamboura, Boubou and Mai, Volker and Astrovskaya, Irina and Corrada Bravo, Hector and Rance, Richard and Stares, Mark and Levine, Myron M and Panchalingam, Sandra and Kotloff, Karen and Ikumapayi, Usman N and Ebruke, Chinelo and Adeyemi, Mitchell and Ahmed, Dilruba and Ahmed, Firoz and Alam, Meer Taifur and Amin, Ruhul and Siddiqui, Sabbir and Ochieng, John B and Ouma, Emmanuel and Juma, Jane and Mailu, Euince and Omore, Richard and Morris, J Glenn and Breiman, Robert F and Saha, Debasish and Parkhill, Julian and Nataro, James P and Stine, O Colin} } @article {49585, title = {Glycan Degradation (GlyDeR) Analysis Predicts Mammalian Gut Microbiota Abundance and Host Diet-Specific Adaptations}, volume = {5}, year = {2014}, month = {May-08-2016}, pages = {e01526-14 - e01526-14}, doi = {10.1128/mBio.01526-14}, url = {http://mbio.asm.org/cgi/doi/10.1128/mBio.01526-14}, author = {Eilam, O. and Zarecki, R. and Oberhardt, M. and Ursell, L. K. and Kupiec, M. and Knight, R. and Gophna, U. and Ruppin, E.} } @article {49861, title = {The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes}, journal = {Genome biology}, volume = {15}, year = {2014}, pages = {524}, author = {Todd Treangen and Ondov, Brian D and Koren, Sergey and Phillippy, Adam M} } @article {49588, title = {Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms}, volume = {9}, year = {2014}, month = {Mar-05-2016}, pages = {e98372}, doi = {10.1371/journal.pone.0098372}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098372}, author = {Zarecki, Raphy and Oberhardt, Matthew A. and Yizhak, Keren and Wagner, Allon and Shtifman Segal, Ella and Freilich, Shiri and Henry, Christopher S. and Gophna, Uri and Ruppin, Eytan}, editor = {Fong, Stephen S.} } @article {49587, title = {A Novel Nutritional Predictor Links Microbial Fastidiousness with Lowered Ubiquity, Growth Rate, and Cooperativeness}, journal = {PLoS Computational Biology}, volume = {10}, year = {2014}, month = {May-07-2015}, pages = {e1003726}, doi = {10.1371/journal.pcbi.1003726}, url = {http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003726}, author = {Zarecki, Raphy and Oberhardt, Matthew A. and Reshef, Leah and Gophna, Uri and Ruppin, Eytan}, editor = {Maranas, Costas D.} } @article {49858, title = {Genome sequence of the attenuated Carbosap vaccine strain of Bacillus anthracis}, journal = {Genome announcements}, volume = {1}, year = {2013}, pages = {e00067{\textendash}12}, author = {Harrington, Robin and Ondov, Brian D and Radune, Diana and Friss, Mary Beth and Klubnik, Joy and Diviak, Lynn and Hnath, Jonathan and Cendrowski, Stephen R and Blank, Thomas E and Karaolis, David and Todd Treangen} } @article {38306, title = {Genome sequencing of four strains of Rickettsia prowazekii, the causative agent of epidemic typhus, including one flying squirrel isolate}, journal = {Genome announcementsGenome announcements}, volume = {1}, year = {2013}, publisher = {American Society for Microbiology}, isbn = {2169-8287}, author = {Bishop-Lilly, Kimberly A. and Ge, Hong and Butani, Amy and Osborne, Brian and Verratti, Kathleen and Mokashi, Vishwesh and Nagarajan, Niranjan and M. Pop and Read, Timothy D. and Richards, Allen L.} } @article {38372, title = {MetAMOS: a modular and open source metagenomic assembly and analysis pipeline}, journal = {Genome BiolGenome Biol}, volume = {14}, year = {2013}, note = {Treangen, Todd JKoren, SergeySommer, Daniel DLiu, BoAstrovskaya, IrinaOndov, BrianDarling, Aaron EPhillippy, Adam MPop, MihaiGenome Biol. 2013 Jan 15;14(1):R2.
Genome biology}, type = {10.1186/gb-2013-14-1-r2}, abstract = {ABSTRACT: We describe MetAMOS, an open source and modular metagenomic assembly and analysis pipeline. MetAMOS represents an important step towards fully automated metagenomic analysis, starting with next-generation sequencing reads and producing genomic scaffolds, open-reading frames and taxonomic or functional annotations. MetAMOS can aid in reducing assembly errors, commonly encountered when assembling metagenomic samples, and improves taxonomic assignment accuracy while also reducing computational cost. MetAMOS can be downloaded from: https://github.com/treangen/MetAMOS.}, isbn = {1465-6914 (Electronic)1465-6906 (Linking)}, author = {Todd Treangen and Koren, S. and Sommer, D. D. and Liu, B. and Irina Astrovskaya and Ondov, B. and Darling, A. E. and Phillippy, A. M. and M. Pop} } @article {38455, title = {Quantitative PCR for Detection of Shigella Improves Ascertainment of Shigella Burden in Children with Moderate-to-Severe Diarrhea in Low-Income Countries}, journal = {Journal of Clinical MicrobiologyJournal of Clinical Microbiology}, volume = {51}, year = {2013}, publisher = {American Society for Microbiology}, isbn = {0095-1137}, author = {Lindsay, Brianna and Ochieng, John B. and Ikumapayi, Usman N. and Toure, Aliou and Ahmed, Dilruba and Li, Shan and Panchalingam, Sandra and Levine, Myron M. and Kotloff, Karen and Rasko, David A.} } @article {38519, title = {Survey of Culture, GoldenGate Assay, Universal Biosensor Assay, and 16S rRNA Gene Sequencing as Alternative Methods of Bacterial Pathogen Detection}, journal = {Journal of Clinical MicrobiologyJournal of Clinical Microbiology}, volume = {51}, year = {2013}, publisher = {American Society for Microbiology}, isbn = {0095-1137}, author = {Lindsay, Brianna and M. Pop and Antonio, Martin and Walker, Alan W. and Mai, Volker and Ahmed, Dilruba and Oundo, Joseph and Tamboura, Boubou and Panchalingam, Sandra and Levine, Myron M.} } @article {49741, title = {BclAF1 restriction factor is neutralized by proteasomal degradation and microRNA repression during human cytomegalovirus infection.}, journal = {Proc Natl Acad Sci U S A}, volume = {109}, year = {2012}, month = {2012 Jun 12}, pages = {9575-80}, abstract = {

Cell proteins can restrict the replication of viruses. Here, we identify the cellular BclAF1 protein as a human cytomegalovirus restriction factor and describe two independent mechanisms the virus uses to decrease its steady-state levels. Immediately following infection, the viral pp71 and UL35 proteins, which are delivered to cells within virions, direct the proteasomal degradation of BclAF1. Although BclAF1 reaccumulates through the middle stages of infection, it is subsequently down-regulated at late times by miR-UL112-1, a virus-encoded microRNA. In the absence of BclAF1 neutralization, viral gene expression and replication are inhibited. These data identify two temporally and mechanistically distinct functions used by human cytomegalovirus to down-regulate a cellular antiviral protein.

}, keywords = {Cytomegalovirus, Cytomegalovirus Infections, Genes, Immediate-Early, HUMANS, Hydrolysis, MicroRNAs, Proteasome Endopeptidase Complex, Repressor Proteins, Tumor Suppressor Proteins}, issn = {1091-6490}, doi = {10.1073/pnas.1207496109}, author = {Lee, Song Hee and Kalejta, Robert F and Kerry, Julie and Semmes, Oliver John and O{\textquoteright}Connor, Christine M and Khan, Zia and Garcia, Benjamin A and Shenk, Thomas and Murphy, Eain} } @article {49551, title = {BclAF1 restriction factor is neutralized by proteasomal degradation and microRNA repression during human cytomegalovirus infection}, volume = {109}, year = {2012}, month = {Dec-06-2012}, pages = {9575 - 9580}, issn = {0027-8424}, doi = {10.1073/pnas.1207496109}, url = {http://www.pnas.org/cgi/doi/10.1073/pnas.1207496109}, author = {Lee, S. H. and Kalejta, R. F. and Kerry, J. and Semmes, O. J. and O{\textquoteright}Connor, C. M. and Khan, Z. and Garcia, B. A. and Shenk, T. and Murphy, E.} } @article {49550, title = {BclAF1 restriction factor is neutralized by proteasomal degradation and microRNA repression during human cytomegalovirus infection}, journal = {Proceedings of the National Academy of Sciences}, volume = {109}, year = {2012}, month = {Dec-06-2012}, pages = {9575 - 9580}, issn = {0027-8424}, doi = {10.1073/pnas.1207496109}, url = {http://www.pnas.org/cgi/doi/10.1073/pnas.1207496109}, author = {Lee, S. H. and Kalejta, R. F. and Kerry, J. and Semmes, O. J. and O{\textquoteright}Connor, C. M. and Khan, Z. and Garcia, B. A. and Shenk, T. and Murphy, E.} } @article {38352, title = {InterPro in 2011: new developments in the family and domain prediction database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {40}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22096229?dopt=Abstract}, type = {10.1093/nar/gkr948}, abstract = {InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K. and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F. and Rivoire, Catherine and Sangrador-Vegas, Amaia and J. Selengut and Sigrist, Christian J. A. and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D. and Wu, Cathy H. and Yeats, Corin and Yong, Siew-Yit} } @article {49765, title = {InterPro in 2011: new developments in the family and domain prediction database.}, journal = {Nucleic Acids Res}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D306-12}, abstract = {

InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.

}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkr948}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F and Rivoire, Catherine and Sangrador-Vegas, Amaia and Selengut, Jeremy D and Sigrist, Christian J A and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D and Wu, Cathy H and Yeats, Corin and Yong, Siew-Yit} } @article {38471, title = {Role of Shrimp Chitin in the Ecology of Toxigenic Vibrio cholerae and Cholera Transmission}, journal = {Frontiers in MicrobiologyFront MicrobiolFrontiers in MicrobiologyFront Microbiol}, volume = {2}, year = {2012}, type = {10.3389/fmicb.2011.00260}, abstract = {Seasonal plankton blooms correlate with occurrence of cholera in Bangladesh, although the mechanism of how dormant Vibrio cholerae, enduring interepidemic period in biofilms and plankton, initiates seasonal cholera is not fully understood. In this study, laboratory microcosms prepared with estuarine Mathbaria water (MW) samples supported active growth of toxigenic V. cholerae O1 up to 7 weeks as opposed to 6 months when microcosms were supplemented with dehydrated shrimp chitin chips (CC) as the single source of nutrient. Bacterial counting and detection of wbe and ctxA genes were done employing culture, direct fluorescent antibody (DFA) assay, and multiplex-polymerase chain reaction methods. In MW microcosm, the aqueous phase became clear as the non-culturable cells settled, whereas the aqueous phase of the MW{\textendash}CC microcosm became turbid from bacterial growth stimulated by chitin. Bacterial chitin degradation and biofilm formation proceeded from an initial steady state to a gradually declining bacterial culturable count. V. cholerae within the microenvironments of chitin and chitin-associated biofilms remained metabolically active even in a high acidic environment without losing either viability or virulence. It is concluded that the abundance of chitin that occurs during blooms plays an important role in the aquatic life cycle of V. cholerae and, ultimately, in the seasonal transmission of cholera.}, isbn = {1664-302X}, author = {Nahar, Shamsun and Sultana, Marzia and Naser, M. Niamul and Nair, Gopinath B. and Watanabe, Haruo and Ohnishi, Makoto and Yamamoto, Shouji and Endtz, Hubert and Cravioto, Alejandro and Sack, R. Bradley and Hasan, Nur A. and Sadique, Abdus and Huq, Anwar and Rita R. Colwell and Alam, Munirul} } @article {49854, title = {Complete Columbian mammoth mitogenome suggests interbreeding with woolly mammoths}, journal = {Genome biology}, volume = {12}, year = {2011}, pages = {R51}, author = {Enk, Jacob and Devault, Alison and Debruyne, Regis and King, Christine E and Todd Treangen and O{\textquoteright}Rourke, Dennis and Salzberg, Steven L and Fisher, Daniel and MacPhee, Ross and Poinar, Hendrik} } @article {49651, title = {Identification of Schistosoma mansoni microRNAs.}, journal = {BMC Genomics}, volume = {12}, year = {2011}, month = {2011}, pages = {47}, abstract = {

BACKGROUND: MicroRNAs (miRNAs) constitute a class of single-stranded RNAs which play a crucial role in regulating development and controlling gene expression by targeting mRNAs and triggering either translation repression or messenger RNA (mRNA) degradation. miRNAs are widespread in eukaryotes and to date over 14,000 miRNAs have been identified by computational and experimental approaches. Several miRNAs are highly conserved across species. In Schistosoma, the full set of miRNAs and their expression patterns during development remain poorly understood. Here we report on the development and implementation of a homology-based detection strategy to search for miRNA genes in Schistosoma mansoni. In addition, we report results on the experimental detection of miRNAs by means of cDNA cloning and sequencing of size-fractionated RNA samples.

RESULTS: Homology search using the high-throughput pipeline was performed with all known miRNAs in miRBase. A total of 6,211 mature miRNAs were used as reference sequences and 110 unique S. mansoni sequences were returned by BLASTn analysis. The existing mature miRNAs that produced these hits are reported, as well as the locations of the homologous sequences in the S. mansoni genome. All BLAST hits aligned with at least 95\% of the miRNA sequence, resulting in alignment lengths of 19-24 nt. Following several filtering steps, 15 potential miRNA candidates were identified using this approach. By sequencing small RNA cDNA libraries from adult worm pairs, we identified 211 novel miRNA candidates in the S. mansoni genome. Northern blot analysis was used to detect the expression of the 30 most frequent sequenced miRNAs and to compare the expression level of these miRNAs between the lung stage schistosomula and adult worm stages. Expression of 11 novel miRNAs was confirmed by northern blot analysis and some presented a stage-regulated expression pattern. Three miRNAs previously identified from S. japonicum were also present in S. mansoni.

CONCLUSION: Evidence for the presence of miRNAs in S. mansoni is presented. The number of miRNAs detected by homology-based computational methods in S. mansoni is limited due to the lack of close relatives in the miRNA repository. In spite of this, the computational approach described here can likely be applied to the identification of pre-miRNA hairpins in other organisms. Construction and analysis of a small RNA library led to the experimental identification of 14 novel miRNAs from S. mansoni through a combination of molecular cloning, DNA sequencing and expression studies. Our results significantly expand the set of known miRNAs in multicellular parasites and provide a basis for understanding the structural and functional evolution of miRNAs in these metazoan parasites.

}, keywords = {Animals, Computational Biology, Genome, Helminth, MicroRNAs, Schistosoma mansoni}, issn = {1471-2164}, doi = {10.1186/1471-2164-12-47}, author = {Sim{\~o}es, Mariana C and Lee, Jonathan and Djikeng, Appolinaire and Cerqueira, Gustavo C and Zerlotini, Adhemar and da Silva-Pereira, Rosiane A and Dalby, Andrew R and LoVerde, Philip and El-Sayed, Najib M and Oliveira, Guilherme} } @article {38341, title = {Increased gene sampling provides stronger support for higher-level groups within gracillariid leaf mining moths and relatives (Lepidoptera: Gracillariidae)}, journal = {BMC Evol BiolBMC Evol Biol}, volume = {11:182}, year = {2011}, author = {Kawahara, A. Y. and Ohshima, I. and Kawakita, A. and Regier, J. C. and Mitter, C. and Michael P. Cummings and Davis, D. R. and Wagner, D. L. and De Prinis, J. and Lopez-Vaamonde, C.} } @article {38256, title = {Extreme polymorphism in a vaccine antigen and risk of clinical malaria: implications for vaccine development}, journal = {Sci Transl MedSci Transl Med}, volume = {1}, year = {2009}, type = {10.1126/scitranslmed.3000257}, abstract = {Vaccines directed against the blood stages of Plasmodium falciparum malaria are intended to prevent the parasite from invading and replicating within host cells. No blood-stage malaria vaccine has shown clinical efficacy in humans. Most malaria vaccine antigens are parasite surface proteins that have evolved extensive genetic diversity, and this diversity could allow malaria parasites to escape vaccine-induced immunity. We examined the extent and within-host dynamics of genetic diversity in the blood-stage malaria vaccine antigen apical membrane antigen-1 in a longitudinal study in Mali. Two hundred and fourteen unique apical membrane antigen-1 haplotypes were identified among 506 human infections, and amino acid changes near a putative invasion machinery binding site were strongly associated with the development of clinical symptoms, suggesting that these residues may be important to consider in designing polyvalent apical membrane antigen-1 vaccines and in assessing vaccine efficacy in field trials. This extreme diversity may pose a serious obstacle to an effective polyvalent recombinant subunit apical membrane antigen-1 vaccine.}, author = {Takala, S. L. and Coulibaly, D. and Thera, M. A. and Batchelor, A. H. and Michael P. Cummings and Escalante, A. A. and Ouattara, A. and Traor{\'e}, K. and Niangaly, A. and Djimd{\'e}, A. A. and Doumbo, O. K. and Plowe, C. V.} } @article {49646, title = {The genome of the blood fluke Schistosoma mansoni.}, journal = {Nature}, volume = {460}, year = {2009}, month = {2009 Jul 16}, pages = {352-8}, abstract = {

Schistosoma mansoni is responsible for the neglected tropical disease schistosomiasis that affects 210 million people in 76 countries. Here we present analysis of the 363 megabase nuclear genome of the blood fluke. It encodes at least 11,809 genes, with an unusual intron size distribution, and new families of micro-exon genes that undergo frequent alternative splicing. As the first sequenced flatworm, and a representative of the Lophotrochozoa, it offers insights into early events in the evolution of the animals, including the development of a body pattern with bilateral symmetry, and the development of tissues into organs. Our analysis has been informed by the need to find new drug targets. The deficits in lipid metabolism that make schistosomes dependent on the host are revealed, and the identification of membrane receptors, ion channels and more than 300 proteases provide new insights into the biology of the life cycle and new targets. Bioinformatics approaches have identified metabolic chokepoints, and a chemogenomic screen has pinpointed schistosome proteins for which existing drugs may be active. The information generated provides an invaluable resource for the research community to develop much needed new control tools for the treatment and eradication of this important and neglected disease.

}, keywords = {Animals, Biological Evolution, Exons, Genes, Helminth, Genome, Helminth, Host-Parasite Interactions, Introns, Molecular Sequence Data, Physical Chromosome Mapping, Schistosoma mansoni, Schistosomiasis mansoni}, issn = {1476-4687}, doi = {10.1038/nature08160}, author = {Berriman, Matthew and Haas, Brian J and LoVerde, Philip T and Wilson, R Alan and Dillon, Gary P and Cerqueira, Gustavo C and Mashiyama, Susan T and Al-Lazikani, Bissan and Andrade, Luiza F and Ashton, Peter D and Aslett, Martin A and Bartholomeu, Daniella C and Blandin, Ga{\"e}lle and Caffrey, Conor R and Coghlan, Avril and Coulson, Richard and Day, Tim A and Delcher, Art and DeMarco, Ricardo and Djikeng, Appolinaire and Eyre, Tina and Gamble, John A and Ghedin, Elodie and Gu, Yong and Hertz-Fowler, Christiane and Hirai, Hirohisha and Hirai, Yuriko and Houston, Robin and Ivens, Alasdair and Johnston, David A and Lacerda, Daniela and Macedo, Camila D and McVeigh, Paul and Ning, Zemin and Oliveira, Guilherme and Overington, John P and Parkhill, Julian and Pertea, Mihaela and Pierce, Raymond J and Protasio, Anna V and Quail, Michael A and Rajandream, Marie-Ad{\`e}le and Rogers, Jane and Sajid, Mohammed and Salzberg, Steven L and Stanke, Mario and Tivey, Adrian R and White, Owen and Williams, David L and Wortman, Jennifer and Wu, Wenjie and Zamanian, Mostafa and Zerlotini, Adhemar and Fraser-Liggett, Claire M and Barrell, Barclay G and El-Sayed, Najib M} } @article {49781, title = {InterPro: the integrative protein signature database.}, journal = {Nucleic Acids Res}, volume = {37}, year = {2009}, month = {2009 Jan}, pages = {D211-5}, abstract = {

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).

}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, issn = {1362-4962}, doi = {10.1093/nar/gkn785}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F and Selengut, Jeremy D and Sigrist, Christian J A and Thimma, Manjula and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38353, title = {InterPro: the integrative protein signature database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {37}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18940856?dopt=Abstract}, type = {10.1093/nar/gkn785}, abstract = {The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K. and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F. and J. Selengut and Sigrist, Christian J. A. and Thimma, Manjula and Thomas, Paul D. and Valentin, Franck and Wilson, Derek and Wu, Cathy H. and Yeats, Corin} } @inbook {38475, title = {Salient Frame Detection for Molecular Dynamics Simulations}, booktitle = {Scientific VisualizationScientific Visualization}, year = {2009}, publisher = {Dagstuhl Seminar Proceedings 09251}, organization = {Dagstuhl Seminar Proceedings 09251}, author = {Kim, Youngmin and Patro, Robert and Ip, Cheuk Yiu and O{\textquoteright}Leary, Dianne P. and Anishkin, Andriy and Sukharev, Sergei and Varshney, Amitabh}, editor = {Ebert, D. S. and Gr, and x6f, and x, and ller, E. and Hagen, H. and Kaufman, A.} } @article {38242, title = {Evolution of genes and genomes on the Drosophila phylogeny}, journal = {NatureNature}, volume = {450}, year = {2007}, note = {[szlig]}, type = {10.1038/nature06341}, abstract = {Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.}, isbn = {0028-0836}, author = {Clark, Andrew G. and Eisen, Michael B. and Smith, Douglas R. and Bergman, Casey M. and Oliver, Brian and Markow, Therese A. and Kaufman, Thomas C. and Kellis, Manolis and Gelbart, William and Iyer, Venky N. and Pollard, Daniel A. and Sackton, Timothy B. and Larracuente, Amanda M. and Singh, Nadia D. and Abad, Jose P. and Abt, Dawn N. and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W. and Aquadro, Charles F. and Ardell, David H. and Arguello, Roman and Artieri, Carlo G. and Barbash, Daniel A. and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A. and Bradley, Robert K. and Brand, Adrianne D. and Brent, Michael R. and Brooks, Angela N. and Brown, Randall H. and Butlin, Roger K. and Caggese, Corrado and Calvi, Brian R. and Carvalho, A. Bernardo de and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E. and Chang, Jean L. and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W. and Comeron, Josep M. and Costello, James C. and Coyne, Jerry A. and Daub, Jennifer and David, Robert G. and Delcher, Arthur L. and Delehaunty, Kim and Do, Chuong B. and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D. and Filipski, Alan and Findei, and Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C. L. and Gardiner, Anastasia and Garfield, David A. and Garvin, Barry E. and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J. and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A. and Haerty, Wilfried and Hahn, Matthew W. and Halligan, Daniel L. and Halpern, Aaron L. and Halter, Gillian M. and Han, Mira V. and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S. and Holmes, Ian and Hoskins, Roger A. and Hubisz, Melissa J. and Hultmark, Dan and Huntley, Melanie A. and Jaffe, David B. and Jagadeeshan, Santosh and Jeck, William R. and Johnson, Justin and Jones, Corbin D. and Jordan, William C. and Karpen, Gary H. and Kataoka, Eiko and Keightley, Peter D. and Kheradpour, Pouya and Kirkness, Ewen F. and Koerich, Leonardo B. and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J. and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H. and Lapoint, Richard and Lazzaro, Brian P. and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F. and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A. and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S. and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U. and Montooth, Kristi and Stephen M. Mount and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A. F. and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J. and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S. and Pesole, Graziano and Phillippy, Adam M. and Ponting, Chris P. and M. Pop and Porcelli, Damiano and Powell, Jeffrey R. and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D. and Reed, Laura K. and Reenan, Robert and Reily, Amy and Remington, Karin A. and Rieger, Tania T. and Ritchie, Michael G. and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J. and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L. and Sanchez-Gracia, Alejandro and Saranga, David J. and Sato, Hajime and Schaeffer, Stephen W. and Schatz, Michael C. and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S. and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B. and Smith, Chris D. and Smith, Temple F. and Spieth, John and Stage, Deborah E. and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L. and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G. and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N. and Tomimura, Yoshihiko and Tsolas, Jason M. and Valente, Vera L. S. and Venter, Eli and Venter, J. Craig and Vicario, Saverio and Vieira, Filipe G. and Vilella, Albert J. and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K. and Wing, Rod A. and Wolfner, Mariana F. and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung- I. and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A. and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V. and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and Haan, Georgius De and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D. and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R. and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D. and Hughes, Leanne and Hurhula, Brian and Husby, M. Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L. and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B. and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {49677, title = {Evolution of genes and genomes on the Drosophila phylogeny.}, journal = {Nature}, volume = {450}, year = {2007}, month = {2007 Nov 8}, pages = {203-18}, abstract = {

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

}, keywords = {Animals, Codon, DNA Transposable Elements, Drosophila, Drosophila Proteins, Evolution, Molecular, Gene Order, Genes, Insect, Genome, Insect, Genome, Mitochondrial, Genomics, Immunity, Multigene Family, Phylogeny, Reproduction, RNA, Untranslated, sequence alignment, Sequence Analysis, DNA, Synteny}, issn = {1476-4687}, doi = {10.1038/nature06341}, author = {Clark, Andrew G and Eisen, Michael B and Smith, Douglas R and Bergman, Casey M and Oliver, Brian and Markow, Therese A and Kaufman, Thomas C and Kellis, Manolis and Gelbart, William and Iyer, Venky N and Pollard, Daniel A and Sackton, Timothy B and Larracuente, Amanda M and Singh, Nadia D and Abad, Jose P and Abt, Dawn N and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W and Aquadro, Charles F and Ardell, David H and Arguello, Roman and Artieri, Carlo G and Barbash, Daniel A and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A and Bradley, Robert K and Brand, Adrianne D and Brent, Michael R and Brooks, Angela N and Brown, Randall H and Butlin, Roger K and Caggese, Corrado and Calvi, Brian R and Bernardo de Carvalho, A and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E and Chang, Jean L and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W and Comeron, Josep M and Costello, James C and Coyne, Jerry A and Daub, Jennifer and David, Robert G and Delcher, Arthur L and Delehaunty, Kim and Do, Chuong B and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D and Filipski, Alan and Findeiss, Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C L and Gardiner, Anastasia and Garfield, David A and Garvin, Barry E and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A and Haerty, Wilfried and Hahn, Matthew W and Halligan, Daniel L and Halpern, Aaron L and Halter, Gillian M and Han, Mira V and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S and Holmes, Ian and Hoskins, Roger A and Hubisz, Melissa J and Hultmark, Dan and Huntley, Melanie A and Jaffe, David B and Jagadeeshan, Santosh and Jeck, William R and Johnson, Justin and Jones, Corbin D and Jordan, William C and Karpen, Gary H and Kataoka, Eiko and Keightley, Peter D and Kheradpour, Pouya and Kirkness, Ewen F and Koerich, Leonardo B and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H and Lapoint, Richard and Lazzaro, Brian P and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U and Montooth, Kristi and Mount, Stephen M and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A F and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S and Pesole, Graziano and Phillippy, Adam M and Ponting, Chris P and Pop, Mihai and Porcelli, Damiano and Powell, Jeffrey R and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D and Reed, Laura K and Reenan, Robert and Reily, Amy and Remington, Karin A and Rieger, Tania T and Ritchie, Michael G and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L and Sanchez-Gracia, Alejandro and Saranga, David J and Sato, Hajime and Schaeffer, Stephen W and Schatz, Michael C and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B and Smith, Chris D and Smith, Temple F and Spieth, John and Stage, Deborah E and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N and Tomimura, Yoshihiko and Tsolas, Jason M and Valente, Vera L S and Venter, Eli and Venter, J Craig and Vicario, Saverio and Vieira, Filipe G and Vilella, Albert J and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K and Wing, Rod A and Wolfner, Mariana F and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung-I and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and De Haan, Georgius and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D and Hughes, Leanne and Hurhula, Brian and Husby, M Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {38286, title = {Genome Analysis Linking Recent European and African Influenza (H5N1) Viruses}, journal = {Emerging Infectious DiseasesEmerg Infect DisEmerging Infectious DiseasesEmerg Infect Dis}, volume = {13}, year = {2007}, type = {10.3201/eid1305.070013}, abstract = {Although linked, these viruses are distinct from earlier outbreak strains., To better understand the ecology and epidemiology of the highly pathogenic avian influenza virus in its transcontinental spread, we sequenced and analyzed the complete genomes of 36 recent influenza A (H5N1) viruses collected from birds in Europe, northern Africa, and southeastern Asia. These sequences, among the first complete genomes of influenza (H5N1) viruses outside Asia, clearly depict the lineages now infecting wild and domestic birds in Europe and Africa and show the relationships among these isolates and other strains affecting both birds and humans. The isolates fall into 3 distinct lineages, 1 of which contains all known non-Asian isolates. This new Euro-African lineage, which was the cause of several recent (2006) fatal human infections in Egypt and Iraq, has been introduced at least 3 times into the European-African region and has split into 3 distinct, independently evolving sublineages. One isolate provides evidence that 2 of these sublineages have recently reassorted.}, isbn = {1080-6040}, author = {Salzberg, Steven L. and Kingsford, Carl and Cattoli, Giovanni and Spiro, David J. and Janies, Daniel A. and Aly, Mona Mehrez and Brown, Ian H. and Couacy-Hymann, Emmanuel and De Mia, Gian Mario and Dung, Do Huu and Guercio, Annalisa and Joannis, Tony and Ali, Ali Safar Maken and Osmani, Azizullah and Padalino, Iolanda and Saad, Magdi D. and Savi{\'c}, Vladimir and Sengamalay, Naomi A. and Yingst, Samuel and Zaborsky, Jennifer and Zorman-Rojs, Olga and Ghedin, Elodie and Capua, Ilaria} } @article {49783, title = {New developments in the InterPro database.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jan}, pages = {D224-8}, abstract = {

InterPro is an integrated resource for protein families, domains and functional sites, which integrates the following protein signature databases: PROSITE, PRINTS, ProDom, Pfam, SMART, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER. The latter two new member databases have been integrated since the last publication in this journal. There have been several new developments in InterPro, including an additional reading field, new database links, extensions to the web interface and additional match XML files. InterPro has always provided matches to UniProtKB proteins on the website and in the match XML file on the FTP site. Additional matches to proteins in UniParc (UniProt archive) are now available for download in the new match XML files only. The latest InterPro release (13.0) contains more than 13 000 entries, covering over 78\% of all proteins in UniProtKB. The database is available for text- and sequence-based searches via a webserver (http://www.ebi.ac.uk/interpro), and for download by anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro). The InterProScan search tool is now also available via a web service at http://www.ebi.ac.uk/Tools/webservices/WSInterProScan.html.

}, keywords = {Databases, Protein, Internet, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, Systems Integration, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkl841}, author = {Mulder, Nicola J and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Buillard, Virginie and Cerutti, Lorenzo and Copley, Richard and Courcelle, Emmanuel and Das, Ujjwal and Daugherty, Louise and Dibley, Mark and Finn, Robert and Fleischmann, Wolfgang and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Hunter, Sarah and Kahn, Daniel and Kanapin, Alexander and Kejariwal, Anish and Labarga, Alberto and Langendijk-Genevaux, Petra S and Lonsdale, David and Lopez, Rodrigo and Letunic, Ivica and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Nikolskaya, Anastasia N and Orchard, Sandra and Orengo, Christine and Petryszak, Robert and Selengut, Jeremy D and Sigrist, Christian J A and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38161, title = {Comparative genomics of emerging human ehrlichiosis agents}, journal = {PLoS geneticsPLoS genetics}, volume = {2}, year = {2006}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16482227?dopt=Abstract}, type = {10.1371/journal.pgen.0020021}, abstract = {Anaplasma (formerly Ehrlichia) phagocytophilum, Ehrlichia chaffeensis, and Neorickettsia (formerly Ehrlichia) sennetsu are intracellular vector-borne pathogens that cause human ehrlichiosis, an emerging infectious disease. We present the complete genome sequences of these organisms along with comparisons to other organisms in the Rickettsiales order. Ehrlichia spp. and Anaplasma spp. display a unique large expansion of immunodominant outer membrane proteins facilitating antigenic variation. All Rickettsiales have a diminished ability to synthesize amino acids compared to their closest free-living relatives. Unlike members of the Rickettsiaceae family, these pathogenic Anaplasmataceae are capable of making all major vitamins, cofactors, and nucleotides, which could confer a beneficial role in the invertebrate vector or the vertebrate host. Further analysis identified proteins potentially involved in vacuole confinement of the Anaplasmataceae, a life cycle involving a hematophagous vector, vertebrate pathogenesis, human pathogenesis, and lack of transovarial transmission. These discoveries provide significant insights into the biology of these obligate intracellular pathogens.}, keywords = {Animals, Biotin, DNA Repair, Ehrlichia, Ehrlichiosis, Genome, Genomics, HUMANS, Models, Biological, Phylogeny, Rickettsia, Ticks}, author = {Dunning Hotopp, Julie C. and Lin, Mingqun and Madupu, Ramana and Crabtree, Jonathan and Angiuoli, Samuel V. and Eisen, Jonathan A. and Eisen, Jonathan and Seshadri, Rekha and Ren, Qinghu and Wu, Martin and Utterback, Teresa R. and Smith, Shannon and Lewis, Matthew and Khouri, Hoda and Zhang, Chunbin and Niu, Hua and Lin, Quan and Ohashi, Norio and Zhi, Ning and Nelson, William and Brinkac, Lauren M. and Dodson, Robert J. and Rosovitz, M. J. and Sundaram, Jaideep and Daugherty, Sean C. and Davidsen, Tanja and Durkin, Anthony S. and Gwinn, Michelle and Haft, Daniel H. and J. Selengut and Sullivan, Steven A. and Zafar, Nikhat and Zhou, Liwei and Benahmed, Faiza and Forberger, Heather and Halpin, Rebecca and Mulligan, Stephanie and Robinson, Jeffrey and White, Owen and Rikihisa, Yasuko and Tettelin, Herv{\'e}} } @article {38287, title = {Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome"}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {102}, year = {2005}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16172379?dopt=Abstract}, type = {10.1073/pnas.0506758102}, abstract = {The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80\% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.}, keywords = {Amino Acid Sequence, Bacterial Capsules, Base Sequence, Gene expression, Genes, Bacterial, Genetic Variation, Genome, Bacterial, Molecular Sequence Data, Phylogeny, sequence alignment, Sequence Analysis, DNA, Streptococcus agalactiae, virulence}, author = {Tettelin, Herv{\'e} and Masignani, Vega and Cieslewicz, Michael J. and Donati, Claudio and Medini, Duccio and Ward, Naomi L. and Angiuoli, Samuel V. and Crabtree, Jonathan and Jones, Amanda L. and Durkin, A. Scott and DeBoy, Robert T. and Davidsen, Tanja M. and Mora, Marirosa and Scarselli, Maria and Margarit y Ros, Immaculada and Peterson, Jeremy D. and Hauser, Christopher R. and Sundaram, Jaideep P. and Nelson, William C. and Madupu, Ramana and Brinkac, Lauren M. and Dodson, Robert J. and Rosovitz, Mary J. and Sullivan, Steven A. and Daugherty, Sean C. and Haft, Daniel H. and J. Selengut and Gwinn, Michelle L. and Zhou, Liwei and Zafar, Nikhat and Khouri, Hoda and Radune, Diana and Dimitrov, George and Watkins, Kisha and O{\textquoteright}Connor, Kevin J. B. and Smith, Shannon and Utterback, Teresa R. and White, Owen and Rubens, Craig E. and Grandi, Guido and Madoff, Lawrence C. and Kasper, Dennis L. and Telford, John L. and Wessels, Michael R. and Rappuoli, Rino and Fraser, Claire M.} } @article {38450, title = {Promoter architecture and response to a positive regulator of archaeal transcription}, journal = {Molecular MicrobiologyMolecular Microbiology}, volume = {56}, year = {2005}, type = {10.1111/j.1365-2958.2005.04563.x}, abstract = {The archaeal transcription apparatus is chimeric: its core components (RNA polymerase and basal factors) closely resemble those of eukaryotic RNA polymerase II, but the putative archaeal transcriptional regulators are overwhelmingly of bacterial type. Particular interest attaches to how these bacterial-type effectors, especially activators, regulate a eukaryote-like transcription system. The hyperthermophilic archaeon Methanocaldococcus jannaschii encodes a potent transcriptional activator, Ptr2, related to the Lrp/AsnC family of bacterial regulators. Ptr2 activates rubredoxin 2 (rb2) transcription through a bipartite upstream activating site (UAS), and conveys its stimulatory effects on its cognate transcription machinery through direct recruitment of the TATA binding protein (TBP). A functional dissection of the highly constrained architecture of the rb2 promoter shows that a {\textquoteleft}one-site{\textquoteright} minimal UAS suffices for activation by Ptr2, and specifies the required placement of this site. The presence of such a simplified UAS upstream of the natural rubrerythrin (rbr) promoter also suffices for positive regulation by Ptr2 in vitro, and TBP recruitment remains the primary means of transcriptional activation at this promoter.}, isbn = {1365-2958}, author = {Ouhammouch, Mohamed and Langham, Geoffrey E. and Hausner, Winfried and Simpson, Anjana J. and Najib M. El-Sayed and Geiduschek, E. Peter} } @article {38525, title = {Temperature-Driven Campylobacter Seasonality in England and Wales}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {71}, year = {2005}, type = {10.1128/AEM.71.1.85-92.2005}, abstract = {Campylobacter incidence in England and Wales between 1990 and 1999 was examined in conjunction with weather conditions. Over the 10-year interval, the average annual rate was determined to be 78.4 {\textpm} 15.0 cases per 100,000, with an upward trend. Rates were higher in males than in females, regardless of age, and highest in children less than 5 years old. Major regional differences were detected, with the highest rates in Wales and the southwest and the lowest in the southeast. The disease displayed a seasonal pattern, and increased campylobacter rates were found to be correlated with temperature. The most marked seasonal effect was observed for children under the age of 5. The seasonal pattern of campylobacter infections indicated a linkage with environmental factors rather than food sources. Therefore, public health interventions should not be restricted to food-borne approaches, and the epidemiology of the seasonal peak in human campylobacter infections may best be understood through studies in young children.}, isbn = {0099-2240, 1098-5336}, author = {Louis, Val{\'e}rie R. and Gillespie, Iain A. and O{\textquoteright}Brien, Sarah J. and Russek-Cohen, Estelle and Pearson, Andrew D. and Rita R. Colwell} } @article {38431, title = {Phylogenetic analysis reveals five independent transfers of the chloroplast gene {\i}t rbcL to the mitochondrial genome in angiosperms}, journal = {Curr GenetCurr Genet}, volume = {43}, year = {2003}, type = {10.1007/s00294-003-0378-3}, abstract = {We used the chloroplast gene rbcL as a model to study the frequency and relative timing of transfer of chloroplast sequences to the mitochondrial genome. Southern blot survey of 20 mitochondrial DNAs confirmed three previously reported groups of plants containing rbcL in their mitochondrion, while PCR studies identified a new mitochondrial rbcL. Published and newly determined mitochondrial and chloroplast rbcL sequences were used to reconstruct rbcL phylogeny. The results imply five or six separate interorganellar transfers of rbcL among the angiosperms examined, and hundreds of successful transfers across all flowering plants. By taxonomic criteria, the crucifer transfer is the most ancient, two separate transfers within the grass family are of intermediate ancestry, and the morning-glory transfer is most recent. All five mitochondrial copies of rbcL examined exhibit insertion and/or deletion events that disrupt the reading frame (three are grossly truncated); and all are elevated in the proportion of nonsynonymous substitutions, providing clear evidence that these sequences are pseudogenes.}, author = {Michael P. Cummings and Nugent, J. M. and Olmstead, R. G. and Palmer, J. D.} } @article {49687, title = {The draft genome of Ciona intestinalis: insights into chordate and vertebrate origins.}, journal = {Science}, volume = {298}, year = {2002}, month = {2002 Dec 13}, pages = {2157-67}, abstract = {

The first chordates appear in the fossil record at the time of the Cambrian explosion, nearly 550 million years ago. The modern ascidian tadpole represents a plausible approximation to these ancestral chordates. To illuminate the origins of chordate and vertebrates, we generated a draft of the protein-coding portion of the genome of the most studied ascidian, Ciona intestinalis. The Ciona genome contains approximately 16,000 protein-coding genes, similar to the number in other invertebrates, but only half that found in vertebrates. Vertebrate gene families are typically found in simplified form in Ciona, suggesting that ascidians contain the basic ancestral complement of genes involved in cell signaling and development. The ascidian genome has also acquired a number of lineage-specific innovations, including a group of genes engaged in cellulose metabolism that are related to those in bacteria and fungi.

}, keywords = {Alleles, Animals, Apoptosis, Base Sequence, Cellulose, Central Nervous System, Ciona intestinalis, Computational Biology, Endocrine System, Gene Dosage, Gene Duplication, genes, Genes, Homeobox, Genome, Heart, Immunity, Molecular Sequence Data, Multigene Family, Muscle Proteins, Organizers, Embryonic, Phylogeny, Polymorphism, Genetic, Proteins, Sequence Analysis, DNA, Sequence Homology, Nucleic Acid, Species Specificity, Thyroid Gland, Urochordata, Vertebrates}, issn = {1095-9203}, doi = {10.1126/science.1080049}, author = {Dehal, Paramvir and Satou, Yutaka and Campbell, Robert K and Chapman, Jarrod and Degnan, Bernard and De Tomaso, Anthony and Davidson, Brad and Di Gregorio, Anna and Gelpke, Maarten and Goodstein, David M and Harafuji, Naoe and Hastings, Kenneth E M and Ho, Isaac and Hotta, Kohji and Huang, Wayne and Kawashima, Takeshi and Lemaire, Patrick and Martinez, Diego and Meinertzhagen, Ian A and Necula, Simona and Nonaka, Masaru and Putnam, Nik and Rash, Sam and Saiga, Hidetoshi and Satake, Masanobu and Terry, Astrid and Yamada, Lixy and Wang, Hong-Gang and Awazu, Satoko and Azumi, Kaoru and Boore, Jeffrey and Branno, Margherita and Chin-Bow, Stephen and DeSantis, Rosaria and Doyle, Sharon and Francino, Pilar and Keys, David N and Haga, Shinobu and Hayashi, Hiroko and Hino, Kyosuke and Imai, Kaoru S and Inaba, Kazuo and Kano, Shungo and Kobayashi, Kenji and Kobayashi, Mari and Lee, Byung-In and Makabe, Kazuhiro W and Manohar, Chitra and Matassi, Giorgio and Medina, Monica and Mochizuki, Yasuaki and Mount, Steve and Morishita, Tomomi and Miura, Sachiko and Nakayama, Akie and Nishizaka, Satoko and Nomoto, Hisayo and Ohta, Fumiko and Oishi, Kazuko and Rigoutsos, Isidore and Sano, Masako and Sasaki, Akane and Sasakura, Yasunori and Shoguchi, Eiichi and Shin-i, Tadasu and Spagnuolo, Antoinetta and Stainier, Didier and Suzuki, Miho M and Tassy, Olivier and Takatori, Naohito and Tokuoka, Miki and Yagi, Kasumi and Yoshizaki, Fumiko and Wada, Shuichi and Zhang, Cindy and Hyatt, P Douglas and Larimer, Frank and Detter, Chris and Doggett, Norman and Glavina, Tijana and Hawkins, Trevor and Richardson, Paul and Lucas, Susan and Kohara, Yuji and Levine, Michael and Satoh, Nori and Rokhsar, Daniel S} } @article {38281, title = {Genes and other samples of DNA sequence data for phylogenetic inference}, journal = {The Biological BulletinThe Biological Bulletin}, volume = {196}, year = {1999}, author = {Michael P. Cummings and Otto, S. P. and Wakeley, J.} } @article {38423, title = {Pathogenic mechanisms in ischemic damage: a computational study}, journal = {Computers in biology and medicineComputers in biology and medicine}, volume = {29}, year = {1999}, author = {Ruppin, E. and Ofer, E. and Reggia, James A. and Revett, K.} } @article {38428, title = {Penumbral tissue damage following acute stroke: a computational investigation}, journal = {Progress in brain researchProgress in brain research}, volume = {121}, year = {1999}, author = {Ruppin, E. and Revett, K. and Ofer, E. and Goodall, S. and Reggia, James A.} } @article {38220, title = {The effect of calprotectin on the nucleation and growth of struvite crystals as assayed by light microscopy in real-time}, journal = {The Journal of urologyThe Journal of urology}, volume = {159}, year = {1998}, note = {http://www.ncbi.nlm.nih.gov/pubmed/9507889?dopt=Abstract}, abstract = {PURPOSE: To use light microscopy to observe the urease-induced growth of struvite crystals in real-time, and to compare the effects of various proteins on that growth. MATERIALS AND METHODS: Artificial urine, with and without citrate, and a minimal urine solution containing only urea and the components of struvite and apatite were incubated with urease and test proteins in the depressions of culture slides. The number and size of rectangular and X-shaped struvite crystals were recorded using a low-power phase contrast microscope. RESULTS: The formation of crystalline struvite appears to occur after the formation of an amorphous calcium- and magnesium-containing phase. The extent of this amorphous phase is dependent on the presence of calcium and citrate, both of which strongly promote its formation over the crystalline phase. alpha-globulin, gamma-globulin and chymotrypsin inhibitor all result in the same amount of crystalline struvite as bovine serum albumin which is used as a control. Calprotectin, on the other hand, causes consistent and significant reductions in the number and size of struvite crystals under a wide range of conditions. No changes in the morphology of the struvite crystals were observed. CONCLUSIONS: Calprotectin, the dominant protein of infection stone matrix, has distinctive properties which affect the formation and growth of struvite crystals. The presence of citrate in synthetic urine dramatically reduces the number of struvite crystals observed. The present method for observing the effects of putative infection stone inhibitors appears to have merit.}, keywords = {Crystallization, Dose-Response Relationship, Drug, Leukocyte L1 Antigen Complex, Magnesium Compounds, Neural Cell Adhesion Molecules, Phosphates, Time factors}, author = {Asakura, H. and J. Selengut and Orme-Johnson, W. H. and Dretler, S. P.} } @inbook {38346, title = {Inferring phylogenies from DNA sequence data: The effects of sampling}, booktitle = {New Uses for New PhylogeniesNew Uses for New Phylogenies}, year = {1996}, publisher = {Oxford University Press}, organization = {Oxford University Press}, author = {Otto, S. P. and Michael P. Cummings and Wakeley, J.}, editor = {Harvey, P. H. and Leigh Brown, A. J. and Maynard Smith, J. and Nee, S.} } @article {38476, title = {Sampling properties of DNA sequence data in phylogenetic analysis}, journal = {Mol Biol EvolMol Biol Evol}, volume = {12}, year = {1995}, abstract = {We inferred phylogenetic trees from individual genes and random samples of nucleotides from the mitochondrial genomes of 10 vertebrates and compared the results to those obtained by analyzing the whole genomes. Individual genes are poor samples in that they infrequently lead to the whole-genome tree. A large number of nucleotide sites is needed to exactly determine the whole-genome tree. A relatively small number of sites, however, often results in a tree close to the whole-genome tree. We found that blocks of contiguous sites were less likely to lead to the whole-genome tree than samples composed of sites drawn individually from throughout the genome. Samples of contiguous sites are not representative of the entire genome, a condition that violates a basic assumption of the bootstrap method as it is applied in phylogenetic studies.}, author = {Michael P. Cummings and Otto, S. P. and Wakeley, J.} } @article {38336, title = {Identification of the calcium-binding protein calgranulin in the matrix of struvite stones}, journal = {Journal of endourology / Endourological SocietyJournal of endourology / Endourological Society}, volume = {8}, year = {1994}, note = {http://www.ncbi.nlm.nih.gov/pubmed/8061680?dopt=Abstract}, abstract = {The identification of calcium-binding proteins in urine and kidney stones has led to a closer look at the role of matrix proteins in urolithiasis. We analyzed five struvite stones for protein content and identified two bands (8 and 14 KDa) that were confirmed by gel electrophoresis and amino acid sequencing to be calgranulin. This protein, which is known by several other names, has bacteriostatic antifungal activity. Its role in the formation of struvite stones warrants further investigation.}, keywords = {Amino Acid Sequence, Calcium-Binding Proteins, Cell Adhesion Molecules, Neuronal, Electrophoresis, Enzyme-Linked Immunosorbent Assay, HUMANS, Kidney Calculi, Leukocyte L1 Antigen Complex, Magnesium Compounds, Molecular Sequence Data, Phosphates}, author = {Bennett, J. and Dretler, S. P. and J. Selengut and Orme-Johnson, W. H.} }