@article {49864, title = {Identification and genomic analysis of a novel group C orthobunyavirus isolated from a mosquito captured near Iquitos, Peru}, journal = {PLoS Negl Trop Dis}, volume = {10}, year = {2016}, pages = {e0004440}, author = {Todd Treangen and Schoeler, George and Phillippy, Adam M and Bergman, Nicholas H and Turell, Michael J} } @article {49840, title = {Identification guide to the heterobranch sea slugs (Mollusca: Gastropoda) from Bocas del Toro, Panama}, journal = {Marine Biodiversity Records}, volume = {96737453830254034557880541418411912544728739317415779780725696418782226404216145163412560451520488424050829677}, year = {2016}, month = {Jan-12-2016}, doi = {10.1186/s41200-016-0048-z}, url = {http://mbr.biomedcentral.com/articles/10.1186/s41200-016-0048-zhttp://link.springer.com/content/pdf/10.1186/s41200-016-0048-z}, author = {Goodheart, Jessica and Ellingson, Ryan A. and Vital, Xochitl G. and {\~a}o Filho, Hilton C. and McCarthy, Jennifer B. and Medrano, Sabrina M. and Bhave, Vishal J. and {\'\i}a-M{\'e}ndez, Kimberly and {\'e}nez, Lina M. and {\'o}pez, Gina and Hoover, Craig A. and Awbrey, Jaymes D. and De Jesus, Jessika M. and Gowacki, William and Krug, Patrick J. and {\'e}s, {\'A}ngel} } @article {49795, title = {The fruRBA Operon Is Necessary for Group A Streptococcal Growth in Fructose and for Resistance to Neutrophil Killing during Growth in Whole Human Blood}, journal = {Infection and Immunity}, volume = {84}, year = {2016}, month = {Dec-04-2017}, pages = {1016 - 1031}, issn = {0019-9567}, doi = {10.1128/IAI.01296-15}, url = {http://iai.asm.org/lookup/doi/10.1128/IAI.01296-15}, author = {Valdes, Kayla M. and Sundar, Ganesh S. and Vega, Luis A. and Belew, Ashton T. and Islam, Emrul and Binet, Rachel and El-Sayed, Najib M. and Le Breton, Yoann and McIver, Kevin S.}, editor = {Camilli, A.} } @article {49791, title = {Individual-specific changes in the human gut microbiota after challenge with enterotoxigenic Escherichia coli and subsequent ciprofloxacin treatment}, journal = {BMC Genomics}, volume = {17183412111831230710512122489914142853341501081566039108377115651846133171373920352123327102188151723}, year = {2016}, month = {Jan-12-2016}, doi = {10.1186/s12864-016-2777-0}, url = {http://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2777-0http://link.springer.com/content/pdf/10.1186/s12864-016-2777-0}, author = {Pop, Mihai and Paulson, Joseph N. and Chakraborty, Subhra and Astrovskaya, Irina and Lindsay, Brianna R. and Li, Shan and Bravo, {\'e}ctor Corrada and Harro, Clayton and Parkhill, Julian and Walker, Alan W. and Walker, Richard I. and Sack, David A. and Stine, O. Colin} } @article {49540, title = {Impact of regulatory variation from RNA to protein}, volume = {347}, year = {2015}, month = {Jun-02-2015}, pages = {664 - 667}, issn = {0036-8075}, doi = {10.1126/science.1260793}, url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1260793}, author = {Battle, A. and Khan, Z. and Wang, S. H. and Mitrano, A. and Ford, M. J. and Pritchard, J. K. and Gilad, Y.} } @article {49575, title = {Improved evidence-based genome-scale metabolic models for maize leaf, embryo, and endosperm.}, volume = {6}, year = {2015}, month = {2015}, pages = {142}, abstract = {

There is a growing demand for genome-scale metabolic reconstructions for plants, fueled by the need to understand the metabolic basis of crop yield and by progress in genome and transcriptome sequencing. Methods are also required to enable the interpretation of plant transcriptome data to study how cellular metabolic activity varies under different growth conditions or even within different organs, tissues, and developmental stages. Such methods depend extensively on the accuracy with which genes have been mapped to the biochemical reactions in the plant metabolic pathways. Errors in these mappings lead to metabolic reconstructions with an inflated number of reactions and possible generation of unreliable metabolic phenotype predictions. Here we introduce a new evidence-based genome-scale metabolic reconstruction of maize, with significant improvements in the quality of the gene-reaction associations included within our model. We also present a new approach for applying our model to predict active metabolic genes based on transcriptome data. This method includes a minimal set of reactions associated with low expression genes to enable activity of a maximum number of reactions associated with high expression genes. We apply this method to construct an organ-specific model for the maize leaf, and tissue specific models for maize embryo and endosperm cells. We validate our models using fluxomics data for the endosperm and embryo, demonstrating an improved capacity of our models to fit the available fluxomics data. All models are publicly available via the DOE Systems Biology Knowledgebase and PlantSEED, and our new method is generally applicable for analysis transcript profiles from any plant, paving the way for further in silico studies with a wide variety of plant genomes.

}, issn = {1664-462X}, doi = {10.3389/fpls.2015.00142}, author = {Seaver, Samuel M D and Bradbury, Louis M T and Frelin, Oc{\'e}ane and Zarecki, Raphy and Ruppin, Eytan and Hanson, Andrew D and Henry, Christopher S} } @article {49512, title = {Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia}, journal = {Journal of Infectious Diseases}, volume = {211}, year = {2015}, month = {03/2015}, pages = {670 - 679}, issn = {1537-6613}, doi = {10.1093/infdis/jiu491}, author = {Takala-Harrison, S. and Jacob, C. G. and Arze, C. and Michael P. Cummings and Silva, J. C. and Dondorp, A. M. and Fukuda, M. M. and Hien, T. T. and Mayxay, M. and Noedl, H. and Nosten, F. and Kyaw, M. P. and Nhien, N. T. T. and Imwong, M. and Bethell, D. and Se, Y. and Lon, C. and Tyner, S. D. and Saunders, D. L. and Ariey, F. and Mercereau-Puijalon, O. and Menard, D. and Newton, P. N. and Khanthavong, M. and Hongvanthong, B. and Starzengruber, P. and Fuehrer, H.-P. and Swoboda, P. and Khan, W. A. and Phyo, A. P. and Nyunt, M. M. and Nyunt, M. H. and Brown, T. S. and Adams, M. and Pepin, C. S. and Bailey, J. and Tan, J. C. and Ferdig, M. T. and Clark, T. G. and Miotto, O. and MacInnis, B. and Kwiatkowski, D. P. and White, N. J. and Ringwald, P. and Plowe, CV} } @article {49571, title = {Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.}, volume = {16 Suppl 8}, year = {2015}, month = {2015}, pages = {S4}, abstract = {

BACKGROUND: There are now over 2000 loci in the human genome where genome wide association studies (GWAS) have found one or more SNPs to be associated with altered risk of a complex trait disease. At each of these loci, there must be some molecular level mechanism relevant to the disease. What are these mechanisms and how do they contribute to disease?

RESULTS: Here we consider the roles of three primary mechanism classes: changes that directly alter protein function (missense SNPs), changes that alter transcript abundance as a consequence of variants close-by in sequence, and changes that affect splicing. Missense SNPs are divided into those predicted to have a high impact on in vivo protein function, and those with a low impact. Splicing is divided into SNPs with a direct impact on splice sites, and those with a predicted effect on auxiliary splicing signals. The analysis was based on associations found for seven complex trait diseases in the classic Wellcome Trust Case Control Consortium (WTCCC1) GWA study and subsequent studies and meta-analyses, collected from the GWAS catalog. Linkage disequilibrium information was used to identify possible candidate SNPs for involvement in disease mechanism in each of the 356 loci associated with these seven diseases. With the parameters used, we find that 76\% of loci have at least of these mechanisms. Overall, except for the low incidence of direct impact on splice sites, the mechanisms are found at similar frequencies, with changes in transcript abundance the most common. But the distribution of mechanisms over diseases varies markedly, as does the fraction of loci with assigned mechanisms. Many of the implicated proteins have previously been suggested as relevant, but the specific mechanism assignments are new. In addition, a number of new disease relevant proteins are proposed.

CONCLUSIONS: The high fraction of GWAS loci with proposed mechanisms suggests that these classes of mechanism play a major role. Other mechanism types, such as variants affecting expression of genes remote in the DNA sequence, will contribute in other loci. Each of the identified putative mechanisms provides a hypothesis for further investigation.

}, issn = {1471-2164}, doi = {10.1186/1471-2164-16-S8-S4}, author = {Pal, Lipika R and Yu, Chen-Hsin and Mount, Stephen M and Moult, John} } @article {49581, title = {Integrating Transcriptomics with Metabolic Modeling Predicts Biomarkers and Drug Targets for Alzheimer{\textquoteright}s Disease}, volume = {9}, year = {2014}, month = {Mar-08-2015}, pages = {e105383}, doi = {10.1371/journal.pone.0105383}, url = {http://www.cs.tau.ac.il/~ruppin/ad_plos1.pdf}, author = {Stempler, Shiri and Yizhak, Keren and Ruppin, Eytan}, editor = {Fong, Stephen S.} } @conference {38586, title = {Identification of gene clusters with phenotype-dependent expression with application to normal and premature ageing}, booktitle = {Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics}, year = {2013}, pages = {377-383}, publisher = {ACM}, organization = {ACM}, address = {Wshington DC, USA}, author = {Kun Wang and Avinash Das and Zheng-Mei Xiong and Kan Cao and Sridhar Hannenhalli} } @article {38354, title = {Intrinsically disordered proteins and conformational noise: Implications in cancer}, journal = {Cell CycleCell Cycle}, volume = {12}, year = {2013}, note = {cc}, type = {10.4161/cc10.4161/cc.23178}, author = {Mahmoudabadi, Gita and Rajagopalan, Krithika and Getzenberg, Robert H. and Sridhar Hannenhalli and Rangarajan, Govindan and Kulkarni, Prakash} } @article {38333, title = {Identification of Coli Surface Antigen 23, a Novel Adhesin of Enterotoxigenic Escherichia coli}, journal = {Infection and immunityInfection and immunity}, volume = {80}, year = {2012}, publisher = {American Society for Microbiology}, author = {Del Canto, F. and Botkin, D. J. and Valenzuela, P. and Popov, V. and Ruiz-Perez, F. and Nataro, J. P. and Levine, M. M. and Stine, O. C. and M. Pop and Torres, A. G. and others,} } @article {38345, title = {Inferring Evolution of Gene Duplicates Using Probabilistic Models and Nonparametric Belief Propagation}, journal = {BMC GenomicsBMC Genomics}, year = {2012}, author = {Jia, Zeng and Sridhar Hannenhalli} } @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 {49857, title = {Irreconcilable differences: divorcing geographic mutation and recombination rates within a global MRSA clone}, journal = {Genome Biology}, volume = {13}, year = {2012}, author = {Phillippy, Adam and Todd Treangen} } @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 {38339, title = {The Importance of Chitin in the Marine Environment}, journal = {Marine BiotechnologyMarine Biotechnology}, year = {2011}, type = {10.1007/s10126-011-9388-1}, abstract = {Chitin is the most abundant renewable polymer in the oceans and is an important source of carbon and nitrogen for marine organisms. The process of chitin degradation is a key step in the cycling of nutrients in the oceans and chitinolytic bacteria play a significant role in this process. These bacteria are autochthonous to both marine and freshwater ecosystems and produce chitinases that degrade chitin, an insoluble polysaccharide, to a biologically useful form. In this brief review, a description of the structure of chitin and diversity of chitinolytic bacteria in the oceans is provided, in the context of the significance of chitin degradation for marine life.}, author = {Souza, C. P. and Almeida, B. C. and Rita R. Colwell and Rivera, I. N. G.} } @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 {38342, title = {Increased gene sampling yields robust support for higher-level clades within Bombycoidea (Lepidoptera)}, journal = {Systematic EntomologySystematic Entomology}, volume = {36}, year = {2011}, type = {10.1111/j.1365-3113.2010.00543.x}, abstract = {This study has as its primary aim the robust resolution of higher-level relationships within the lepidopteran superfamily Bombycoidea. Our study builds on an earlier analysis of five genes (\~{}6.6 kbp) sequenced for 50 taxa from Bombycoidea and its sister group Lasiocampidae, plus representatives of other macrolepidoteran superfamilies. The earlier study failed to yield strong support for the monophyly of and basal splits within Bombycoidea, among others. Therefore, in an effort to increase support specifically for higher-level nodes, we generated 11.7 kbp of additional data from 20 genes for 24 of 50 bombycoid and lasiocampid taxa. The data from the genes are all derived from protein-coding nuclear genes previously used to resolve other lepidopteran relationships. With these additional data, all but a few higher-level nodes are strongly supported. Given our decision to minimize project costs by augmenting genes for only 24 of the 50 taxa, we explored whether the resulting pattern of missing data in the combined-gene matrix introduced a nonphylogenetic bias, a possibility reported by others. This was achieved by comparing node support values (i.e. nonparametric bootstrap values) based on likelihood and parsimony analyses of three datasets that differ in their number of taxa and level of missing data: 50 taxa/5 genes (dataset A), 50 taxa/25 genes (dataset B) and 24 taxa/25 genes (dataset C). Whereas datasets B and C provided similar results for common nodes, both frequently yielded higher node support relative to dataset A, arguing that: (i) more data yield increased node support and (ii) partial gene augmentation does not introduce an obvious nonphylogenetic bias. A comparison of single-gene bootstrap analyses identified four nodes for which one or two of the 25 genes provided modest to strong support for a grouping not recovered by the combined-gene result. As a summary proposal, two of these four groupings (one each within Bombycoidea and Lasiocampidae) were deemed sufficiently problematic to regard them as unresolved trichotomies. Since the alternative groupings were always highly localized on the tree, we did not judge a combined-gene analysis to present a problem outside those regions. Based on our robustly resolved results, we have revised the classification of Bombycoidea: the family Bombycidae is restricted to its nominate subfamily, and its tribe Epiini is elevated to subfamily rank (Epiinae stat.rev.), whereas the bombycid subfamily Phiditiinae is reinstated as a separate family (Phiditiidae stat.rev.). The bombycid subfamilies Oberthueriinae Kuznetzov \& Stekolnikov, 1985, syn.nov. and Prismostictinae Forbes, 1955, syn.nov., and the family Mirinidae Kozlov, 1985, syn.nov. are established as subjective junior synonyms of Endromidae Boisduval, 1828. The family Anthelidae (Lasiocampoidea) is reincluded in the superfamily Bombycoidea.}, isbn = {1365-3113}, author = {Zwick, Andreas and Regier, Jerome C. and Mitter, Charles and Michael P. Cummings} } @article {49831, title = {Increased methylation variation in epigenetic domains across cancer types}, journal = {Nature Genetics}, volume = {43}, year = {2011}, month = {Feb-06-2013}, pages = {768 - 775}, issn = {1061-4036}, doi = {10.1038/ng.865}, url = {http://www.nature.com/doifinder/10.1038/ng.865}, author = {Hansen, Kasper Daniel and Timp, Winston and Bravo, H{\'e}ctor Corrada and Sabunciyan, Sarven and Langmead, Benjamin and McDonald, Oliver G and Wen, Bo and Wu, Hao and Liu, Yun and Diep, Dinh and Briem, Eirikur and Zhang, Kun and Irizarry, Rafael A and Feinberg, Andrew P} } @article {49832, title = {Influence of Host Gene Transcription Level and Orientation on HIV-1 Latency in a Primary-Cell Model}, journal = {Journal of Virology}, volume = {85}, year = {2011}, month = {Jan-06-2011}, pages = {5384 - 5393}, issn = {0022-538X}, doi = {10.1128/JVI.02536-10}, url = {http://jvi.asm.org/cgi/doi/10.1128/JVI.02536-10https://syndication.highwire.org/content/doi/10.1128/JVI.02536-10}, author = {Shan, L. and Yang, H.-C. and Rabi, S. A. and Bravo, H. C. and Shroff, N. S. and Irizarry, R. A. and Zhang, H. and Margolick, J. B. and Siliciano, J. D. and Siliciano, R. F.} } @article {38347, title = {Influence of host gene transcription level and orientation on HIV-1 latency in a primary-cell model}, journal = {Journal of virologyJournal of virology}, volume = {85}, year = {2011}, note = {http://www.ncbi.nlm.nih.gov/pubmed/21430059?dopt=Abstract}, type = {10.1128/JVI.02536-10}, abstract = {Human immunodeficiency virus type 1 (HIV-1) establishes a latent reservoir in resting memory CD4(+) T cells. This latent reservoir is a major barrier to the eradication of HIV-1 in infected individuals and is not affected by highly active antiretroviral therapy (HAART). Reactivation of latent HIV-1 is a possible strategy for elimination of this reservoir. The mechanisms with which latency is maintained are unclear. In the analysis of the regulation of HIV-1 gene expression, it is important to consider the nature of HIV-1 integration sites. In this study, we analyzed the integration and transcription of latent HIV-1 in a primary CD4(+) T cell model of latency. The majority of integration sites in latently infected cells were in introns of transcription units. Serial analysis of gene expression (SAGE) demonstrated that more than 90\% of those host genes harboring a latent integrated provirus were transcriptionally active, mostly at high levels. For latently infected cells, we observed a modest preference for integration in the same transcriptional orientation as the host gene (63.8\% versus 36.2\%). In contrast, this orientation preference was not observed in acutely infected or persistently infected cells. These results suggest that transcriptional interference may be one of the important factors in the establishment and maintenance of HIV-1 latency. Our findings suggest that disrupting the negative control of HIV-1 transcription by upstream host promoters could facilitate the reactivation of latent HIV-1 in some resting CD4(+) T cells.}, keywords = {CD4-Positive T-Lymphocytes, Cells, Cultured, Gene Expression Profiling, Gene Expression Regulation, Viral, HIV-1, HUMANS, Transcription, Genetic, Virus Integration, Virus Latency}, author = {Shan, Liang and Yang, Hung-Chih and Rabi, S. Alireza and H{\'e}ctor Corrada Bravo and Shroff, Neeta S. and Irizarry, Rafael A. and Zhang, Hao and Margolick, Joseph B. and Siliciano, Janet D. and Siliciano, Robert F.} } @article {38350, title = {Interaction of Vibrio cholerae non-O1/non-O139 with Copepods, Cladocerans and Competing Bacteria in the Large Alkaline Lake Neusiedler See, Austria}, journal = {Microbial ecologyMicrobial ecology}, volume = {61}, year = {2011}, type = {10.1007/s00248-010-9764-9}, abstract = {Vibrio cholerae is a human pathogen and natural inhabitant of aquatic environments. Serogroups O1/O139 have been associated with epidemic cholera, while non-O1/non-O139 serogroups usually cause human disease other than classical cholera. V. cholerae non-O1/non-O139 from the Neusiedler See, a large Central European lake, have caused ear and wound infections, including one case of fatal septicaemia. Recent investigations demonstrated rapid planktonic growth of V. cholerae non-O1/non-O139 and correlation with zooplankton biomass. The aim of this study was to elucidate the interaction of autochthonous V. cholerae with two dominant crustacean zooplankton species in the lake and investigate the influence of the natural bacterial community on this interaction. An existing data set was evaluated for statistical relationships between zooplankton species and V. cholerae and co-culture experiments were performed in the laboratory. A new fluorescence in situ hybridisation protocol was applied for quantification of V. cholerae non-O1/non-O139 cells, which significantly reduced analysis time. The experiments clearly demonstrated a significant relationship of autochthonous V. cholerae non-O1/non-O139 with cladocerans by promoting growth of V. cholerae non-O1/non-O139 in the water and on the surfaces of the cladocerans. In contrast, copepods had a negative effect on the growth of V. cholerae non-O1/non-O139 via competing bacteria from their surfaces. Thus, beside other known factors, biofilm formation by V. cholerae on crustacean zooplankton appears to be zooplankton taxon specific and may be controlled by the natural bacterial community.}, author = {Kirschner, A. K. T. and Schauer, S. and Steinberger, B. and Wilhartitz, I. and Grim, C. J. and Huq, A. and Rita R. Colwell and Herzig, A. and Sommer, R.} } @article {38335, title = {Identification of Pathogenic Vibrio Species by Multilocus PCR-Electrospray Ionization Mass Spectrometry and Its Application to Aquatic Environments of the Former Soviet Republic of Georgia}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {76}, year = {2010}, type = {10.1128/AEM.01919-09}, abstract = {The Ibis T5000 is a novel diagnostic platform that couples PCR and mass spectrometry. In this study, we developed an assay that can identify all known pathogenic Vibrio species and field-tested it using natural water samples from both freshwater lakes and the Georgian coastal zone of the Black Sea. Of the 278 total water samples screened, 9 different Vibrio species were detected, 114 (41\%) samples were positive for V. cholerae, and 5 (0.8\%) samples were positive for the cholera toxin A gene (ctxA). All ctxA-positive samples were from two freshwater lakes, and no ctxA-positive samples from any of the Black Sea sites were detected.}, isbn = {0099-2240, 1098-5336}, author = {Whitehouse, Chris A. and Baldwin, Carson and Sampath, Rangarajan and Blyn, Lawrence B. and Melton, Rachael and Li, Feng and Hall, Thomas A. and Harpin, Vanessa and Matthews, Heather and Tediashvili, Marina and Jaiani, Ekaterina and Kokashvili, Tamar and Janelidze, Nino and Grim, Christopher and Rita R. Colwell and Huq, Anwar} } @inbook {38338, title = {Identifying Differentially Abundant Metabolic Pathways in Metagenomic Datasets}, booktitle = {Bioinformatics Research and ApplicationsBioinformatics Research and Applications}, series = {Lecture Notes in Computer Science}, volume = {6053}, year = {2010}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Enabled by rapid advances in sequencing technology, metagenomic studies aim to characterize entire communities of microbes bypassing the need for culturing individual bacterial members. One major goal of such studies is to identify specific functional adaptations of microbial communities to their habitats. Here we describe a powerful analytical method (MetaPath) that can identify differentially abundant pathways in metagenomic data-sets, relying on a combination of metagenomic sequence data and prior metabolic pathway knowledge. We show that MetaPath outperforms other common approaches when evaluated on simulated datasets. We also demonstrate the power of our methods in analyzing two, publicly available, metagenomic datasets: a comparison of the gut microbiome of obese and lean twins; and a comparison of the gut microbiome of infant and adult subjects. We demonstrate that the subpathways identified by our method provide valuable insights into the biological activities of the microbiome.}, isbn = {978-3-642-13077-9}, author = {Liu, Bo and M. Pop}, editor = {Borodovsky, Mark and Gogarten, Johann and Przytycka, Teresa and Rajasekaran, Sanguthevar} } @article {38349, title = {Intensity normalization improves color calling in SOLiD sequencing}, journal = {Nat MethNat MethNat MethNat Meth}, volume = {7}, year = {2010}, type = {10.1038/nmeth0510-336}, isbn = {1548-7091}, author = {Wu, Hao and Irizarry, Rafael A. and H{\'e}ctor Corrada Bravo} } @proceedings {38343, title = {Inexact Local Alignment Search over Suffix Arrays}, year = {2009}, month = {2009}, publisher = {IEEE}, type = {10.1109/BIBM.2009.25}, abstract = {We describe an algorithm for finding approximate seeds for DNA homology searches. In contrast to previous algorithms that use exact or spaced seeds, our approximate seeds may contain insertions and deletions. We present a generalized heuristic for finding such seeds efficiently and prove that the heuristic does not affect sensitivity. We show how to adapt this algorithm to work over the memory efficient suffix array with provably minimal overhead in running time. We demonstrate the effectiveness of our algorithm on two tasks: whole genome alignment of bacteria and alignment of the DNA sequences of 177 genes that are orthologous in human and mouse. We show our algorithm achieves better sensitivity and uses less memory than other commonly used local alignment tools.}, keywords = {bacteria, Bioinformatics, biology computing, Computational Biology, Costs, DNA, DNA homology searches, DNA sequences, Educational institutions, generalized heuristic, genes, Genetics, genome alignment, Genomics, human, inexact local alignment search, inexact seeds, local alignment, local alignment tools, memory efficient suffix array, microorganisms, molecular biophysics, mouse, Organisms, Sensitivity and Specificity, sequences, suffix array, USA Councils}, isbn = {978-0-7695-3885-3}, author = {Ghodsi, M. and M. Pop} } @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} } @article {49849, title = {The impact of the neisserial DNA uptake sequences on genome evolution and stability}, journal = {Genome biology}, volume = {9}, year = {2008}, pages = {R60}, author = {Todd Treangen and Ambur, Ole Herman and Tonjum, Tone and Rocha, Eduardo PC} } @article {38332, title = {Identification and cross-species comparison of canine osteoarthritic gene regulatory cis-elements}, journal = {Osteoarthritis and cartilage/OARS, Osteoarthritis Research SocietyOsteoarthritis and cartilage/OARS, Osteoarthritis Research Society}, volume = {14}, year = {2006}, author = {Sridhar Hannenhalli and Middleton, R. P. and Levy, S. and Perroud, B. and Holzwarth, J. A. and McDonald, K. and Hannah, S. S. and others,} } @article {38351, title = {An interaction-dependent model for transcription factor binding}, journal = {Systems Biology and Regulatory GenomicsSystems Biology and Regulatory Genomics}, year = {2006}, publisher = {Springer}, author = {Wang, L. S. and Jensen, S. and Sridhar Hannenhalli} } @article {38355, title = {Invited Talk: Deciphering Gene Regulatory Networks by in silico approaches}, journal = {6th International Workshop on Data Mining in Bioinformatics (BIOKDD06)6th International Workshop on Data Mining in Bioinformatics (BIOKDD06)}, year = {2006}, abstract = {Biological processes are controlled at various levels in the celland while these mechanisms are poorly understood, tran- scriptional control is widely recognized as an important com- ponent and a better understanding of which will provide an efficient means for the therapeutic intervention in disease processes. We have been focusing on various computational problems pertaining to transcriptional regulation, namely, (1) representation and identification of transcription factor binding sites,(2) PolII promoter prediction,(3) Predicting interaction among transcription factors,(4) Transcriptional modeling, ie identifying arrangements of TFs that co- regulate a set of transcripts. I will present a brief overview of the computational approaches and challenges as well as a number of applications including transcriptional regulation in memory storage, heart failure, and osteoarthritis.}, author = {Sridhar Hannenhalli} } @article {38344, title = {Infectious disease and environment: cholera as a paradigm for waterborne disease}, journal = {International MicrobiologyInternational Microbiology}, volume = {7}, year = {2004}, isbn = {1139-6709}, author = {Rita R. Colwell} } @article {49634, title = {The ingi and RIME non-LTR retrotransposons are not randomly distributed in the genome of Trypanosoma brucei.}, journal = {Mol Biol Evol}, volume = {21}, year = {2004}, month = {2004 Mar}, pages = {520-8}, abstract = {

The ingi (long and autonomous) and RIME (short and nonautonomous) non--long-terminal repeat retrotransposons are the most abundant mobile elements characterized to date in the genome of the African trypanosome Trypanosoma brucei. These retrotransposons were thought to be randomly distributed, but a detailed and comprehensive analysis of their genomic distribution had not been performed until now. To address this question, we analyzed the ingi/RIME sequences and flanking sequences from the ongoing T. brucei genome sequencing project (TREU927/4 strain). Among the 81 ingi/RIME elements analyzed, 60\% are complete, and 7\% of the ingi elements (approximately 15 copies per haploid genome) appear to encode for their own transposition. The size of the direct repeat flanking the ingi/RIME retrotransposons is conserved (i.e., 12-bp), and a strong 11-bp consensus pattern precedes the 5{\textquoteright}-direct repeat. The presence of a consensus pattern upstream of the retroelements was confirmed by the analysis of the base occurrence in 294 GSS containing 5{\textquoteright}-adjacent ingi/RIME sequences. The conserved sequence is present upstream of ingis and RIMEs, suggesting that ingi-encoded enzymatic activities are used for retrotransposition of RIMEs, which are short nonautonomous retroelements. In conclusion, the ingi and RIME retroelements are not randomly distributed in the genome of T. brucei and are preceded by a conserved sequence, which may be the recognition site of the ingi-encoded endonuclease.

}, keywords = {Amino Acid Sequence, Animals, Base Sequence, Consensus Sequence, Genome, Protozoan, Molecular Sequence Data, Retroelements, Sequence Analysis, Trypanosoma brucei brucei}, issn = {0737-4038}, doi = {10.1093/molbev/msh045}, author = {Bringaud, Frederic and Biteau, Nicolas and Zuiderwijk, Eduard and Berriman, Matthew and El-Sayed, Najib M and Ghedin, Elodie and Melville, Sara E and Hall, Neil and Baltz, Th{\'e}o} } @article {38348, title = {The ingi and RIME non-LTR retrotransposons are not randomly distributed in the genome of Trypanosoma brucei}, journal = {Molecular biology and evolutionMolecular biology and evolution}, volume = {21}, year = {2004}, author = {Bringaud, F. and Biteau, N. and Zuiderwijk, E. and Berriman, M. and Najib M. El-Sayed and Ghedin, E. and Melville, S. E. and Hall, N. and Baltz, T.} } @article {49685, title = {Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies.}, journal = {Nucleic Acids Res}, volume = {31}, year = {2003}, month = {2003 Oct 1}, pages = {5654-66}, abstract = {

The spliced alignment of expressed sequence data to genomic sequence has proven a key tool in the comprehensive annotation of genes in eukaryotic genomes. A novel algorithm was developed to assemble clusters of overlapping transcript alignments (ESTs and full-length cDNAs) into maximal alignment assemblies, thereby comprehensively incorporating all available transcript data and capturing subtle splicing variations. Complete and partial gene structures identified by this method were used to improve The Institute for Genomic Research Arabidopsis genome annotation (TIGR release v.4.0). The alignment assemblies permitted the automated modeling of several novel genes and >1000 alternative splicing variations as well as updates (including UTR annotations) to nearly half of the approximately 27 000 annotated protein coding genes. The algorithm of the Program to Assemble Spliced Alignments (PASA) tool is described, as well as the results of automated updates to Arabidopsis gene annotations.

}, keywords = {algorithms, Alternative Splicing, Arabidopsis, DNA, Complementary, Expressed Sequence Tags, Genome, Plant, Introns, Plant Proteins, RNA, Plant, sequence alignment, software, Transcription, Genetic, Untranslated Regions}, issn = {1362-4962}, author = {Haas, Brian J and Delcher, Arthur L and Mount, Stephen M and Wortman, Jennifer R and Smith, Roger K and Hannick, Linda I and Maiti, Rama and Ronning, Catherine M and Rusch, Douglas B and Town, Christopher D and Salzberg, Steven L and White, Owen} } @article {38334, title = {Identification of non-autonomous non-LTR retrotransposons in the genome of Trypanosoma cruzi}, journal = {Molecular and Biochemical ParasitologyMolecular and Biochemical Parasitology}, volume = {124}, year = {2002}, type = {16/S0166-6851(02)00167-6}, abstract = {As observed for most eukaryotic cells, trypanosomatids contains non-LTR retrotransposons randomly inserted in the nuclear genome. Autonomous retroelements which, code for their own transposition, have been characterized in Trypanosoma brucei (ingi) and Trypanosoma cruzi (L1Tc), whereas non-autonomous retroelements have only been characterized in T. brucei (RIME). Here, we have characterized in the genome of Trypanosoma cruzi four complete copies of a non-autonomous non-LTR retrotransposon, called NARTc. This 0.26 kb NARTc element has the characteristics of non-LTR retrotransposons: the presence a poly(dA) tail and of a short flanking duplicated motif. Analysis of the Genome Survey Sequence databases indicated that the Trypanosoma cruzi haploid genome contains about 140 NARTc copies and about twice as many L1Tc copies. Interestingly, the NARTc and L1Tc retroelements share, with the Trypanosoma brucei ingi and RIME retrotransposons, a common sequence (the first 45 bp with 91\% identity), whereas the remaining sequences are very divergent. This suggests that these four trypanosome non-LTR retrotransposons were derived from the same common ancester and the sequence of their 5{\textquoteright}-extremity may have a functional role. In addition, the genome of Leishmania major contains the same conserved motif present in the trypanosome retroelements, whicle no transposable elements have been detected so far in Leishmania sp.}, keywords = {Ingi, L1Tc, Non-LTR retrotransposon, RIME, Trypanosoma brucei, Trypanosoma cruzi}, isbn = {0166-6851}, author = {Bringaud, Frederic and Garc{\'\i}a-P{\'e}rez, Jos{\'e} Luis and Heras, Sara R. and Ghedin, Elodie and Najib M. El-Sayed and Andersson, Bj{\"o}rn and Baltz, Th{\'e}o and Lopez, Manuel C.} } @article {49630, title = {Identification of non-autonomous non-LTR retrotransposons in the genome of Trypanosoma cruzi.}, journal = {Mol Biochem Parasitol}, volume = {124}, year = {2002}, month = {2002 Sep-Oct}, pages = {73-8}, abstract = {

As observed for most eukaryotic cells, trypanosomatids contains non-LTR retrotransposons randomly inserted in the nuclear genome. Autonomous retroelements which, code for their own transposition, have been characterized in Trypanosoma brucei (ingi) and Trypanosoma cruzi (L1Tc), whereas non-autonomous retroelements have only been characterized in T. brucei (RIME). Here, we have characterized in the genome of Trypanosoma cruzi four complete copies of a non-autonomous non-LTR retrotransposon, called NARTc. This 0.26 kb NARTc element has the characteristics of non-LTR retrotransposons: the presence a poly(dA) tail and of a short flanking duplicated motif. Analysis of the Genome Survey Sequence databases indicated that the Trypanosoma cruzi haploid genome contains about 140 NARTc copies and about twice as many L1Tc copies. Interestingly, the NARTc and L1Tc retroelements share, with the Trypanosoma brucei ingi and RIME retrotransposons, a common sequence (the first 45 bp with 91\% identity), whereas the remaining sequences are very divergent. This suggests that these four trypanosome non-LTR retrotransposons were derived from the same common ancester and the sequence of their 5{\textquoteright}-extremity may have a functional role. In addition, the genome of Leishmania major contains the same conserved motif present in the trypanosome retroelements, whicle no transposable elements have been detected so far in Leishmania sp.

}, keywords = {Animals, Base Sequence, Computational Biology, Genome, Protozoan, Long Interspersed Nucleotide Elements, Molecular Sequence Data, Retroelements, Short Interspersed Nucleotide Elements, Trypanosoma cruzi}, issn = {0166-6851}, author = {Bringaud, Frederic and Garc{\'\i}a-P{\'e}rez, Jos{\'e} Luis and Heras, Sara R and Ghedin, Elodie and El-Sayed, Najib M and Andersson, Bj{\"o}rn and Baltz, Th{\'e}o and Lopez, Manuel C} } @article {38337, title = {Identification of transcription factor binding sites in the human genome sequence}, journal = {Mammalian GenomeMammalian Genome}, volume = {13}, year = {2002}, abstract = {The identification of transcription factor binding sites (TFBS) is an important initial step in determining the DNA signals that regulate transcription of the genome. We tested the performance of three distinct computational methods for the identification of TFBS applied to the human genome sequence, as judged by their ability to recover the location of experimentally determined, and uniquely mapped, TFBS taken from the TRANSFAC database. These identification methods all attempt to filter the quantity of TFBS identified by aligning positional weight matrices that describe the binding site and employ either (i) a P-value threshold for accepting a site, (ii) an over-representation measure of neighboring sites, or (iii) conservation with the mouse genome and application of P-value thresholds. The results show that the best recognition of TFBS is achieved by combining the identification of TFBS in regions of human{\textendash}mouse conservation and also by applying a high stringency P-value to the TFBS identified in non-coding regions that are not conserved. Additionally, we find that only half of the 481 experimentally mapped sites can be found in sequence regions conserved with mouse, but the predictive power of the binding site identification method is up to threefold higher in the conserved regions.}, isbn = {0938-8990}, author = {Levy, Samuel and Sridhar Hannenhalli} } @article {38340, title = {In vitro adhesion to human cells by viable but nonculturable Enterococcus faecalis}, journal = {Current microbiologyCurrent microbiology}, volume = {45}, year = {2002}, type = {10.1007/s00284-001-0089-2}, abstract = {The ability of viable but nonculturable (VBNC) Enterococcus faecalis to adhere to Caco-2 and Girardi heart cultured cells and to urinary tract epithelial cells (ECs) was studied. Enterococci were harvested during the vegetative growth phase (early exponential and stationary), in the VBNC state, and after recovery of the ability to divide. VBNC bacteria maintained their adherence capability but the efficiency of attachment was reduced by about 50 to 70\%, depending on the target cell employed. The decrease was transient, since enterococci that regained their culturability showed adherence values similar to those observed for actively growing cells. Analysis of the invasive properties of E. faecalis revealed that the VBNC state caused a decrease in the number of bacteria that entered the cultured HEK cells as a result of the reduction in the number of adhering bacteria. These results highlight the importance of studies of the VBNC phenomenon, with respect to both microbial survival in the environment and the impact on human health.}, author = {Pruzzo, C. and Tarsi, R. and Lle{\`o}, M. M. and Signoretto, C. and Zampini, M. and Rita R. Colwell and Canepari, 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 {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.} }