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  • 1
    Publication Date: 2011-02-05
    Description: We describe the draft genome of the microcrustacean Daphnia pulex, which is only 200 megabases and contains at least 30,907 genes. The high gene count is a consequence of an elevated rate of gene duplication resulting in tandem gene clusters. More than a third of Daphnia's genes have no detectable homologs in any other available proteome, and the most amplified gene families are specific to the Daphnia lineage. The coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random, and the analysis of gene expression under different environmental conditions reveals that numerous paralogs acquire divergent expression patterns soon after duplication. Daphnia-specific genes, including many additional loci within sequenced regions that are otherwise devoid of annotations, are the most responsive genes to ecological challenges.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529199/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529199/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Colbourne, John K -- Pfrender, Michael E -- Gilbert, Donald -- Thomas, W Kelley -- Tucker, Abraham -- Oakley, Todd H -- Tokishita, Shinichi -- Aerts, Andrea -- Arnold, Georg J -- Basu, Malay Kumar -- Bauer, Darren J -- Caceres, Carla E -- Carmel, Liran -- Casola, Claudio -- Choi, Jeong-Hyeon -- Detter, John C -- Dong, Qunfeng -- Dusheyko, Serge -- Eads, Brian D -- Frohlich, Thomas -- Geiler-Samerotte, Kerry A -- Gerlach, Daniel -- Hatcher, Phil -- Jogdeo, Sanjuro -- Krijgsveld, Jeroen -- Kriventseva, Evgenia V -- Kultz, Dietmar -- Laforsch, Christian -- Lindquist, Erika -- Lopez, Jacqueline -- Manak, J Robert -- Muller, Jean -- Pangilinan, Jasmyn -- Patwardhan, Rupali P -- Pitluck, Samuel -- Pritham, Ellen J -- Rechtsteiner, Andreas -- Rho, Mina -- Rogozin, Igor B -- Sakarya, Onur -- Salamov, Asaf -- Schaack, Sarah -- Shapiro, Harris -- Shiga, Yasuhiro -- Skalitzky, Courtney -- Smith, Zachary -- Souvorov, Alexander -- Sung, Way -- Tang, Zuojian -- Tsuchiya, Dai -- Tu, Hank -- Vos, Harmjan -- Wang, Mei -- Wolf, Yuri I -- Yamagata, Hideo -- Yamada, Takuji -- Ye, Yuzhen -- Shaw, Joseph R -- Andrews, Justen -- Crease, Teresa J -- Tang, Haixu -- Lucas, Susan M -- Robertson, Hugh M -- Bork, Peer -- Koonin, Eugene V -- Zdobnov, Evgeny M -- Grigoriev, Igor V -- Lynch, Michael -- Boore, Jeffrey L -- P42 ES004699/ES/NIEHS NIH HHS/ -- P42 ES004699-25/ES/NIEHS NIH HHS/ -- P42ES004699/ES/NIEHS NIH HHS/ -- R01 ES019324/ES/NIEHS NIH HHS/ -- R24 GM078274/GM/NIGMS NIH HHS/ -- R24 GM078274-01A1/GM/NIGMS NIH HHS/ -- R24GM07827401/GM/NIGMS NIH HHS/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2011 Feb 4;331(6017):555-61. doi: 10.1126/science.1197761.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomics and Bioinformatics, Indiana University, 915 East Third Street, Bloomington, IN 47405, USA. jcolbour@indiana.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21292972" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Amino Acid Sequence ; Animals ; Base Sequence ; Chromosome Mapping ; Daphnia/*genetics/physiology ; *Ecosystem ; Environment ; Evolution, Molecular ; Gene Conversion ; Gene Duplication ; Gene Expression ; Gene Expression Profiling ; Gene Expression Regulation ; Genes ; Genes, Duplicate ; *Genome ; Metabolic Networks and Pathways/genetics ; Molecular Sequence Annotation ; Molecular Sequence Data ; Multigene Family ; Phylogeny ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 349 (1991), S. 109-109 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] SIR-Mills in Scientific Correspondence1 estimated the amount of mercury released into the atmosphere from crematoria. But in the case of the crematorium quoted, Mills assumed that each of the 3,831 people cremated in 1989 had five amalgam fillings in their teeth, based on an estimate2 that 30% ...
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Molecular and cellular biochemistry 154 (1996), S. 23-29 
    ISSN: 1573-4919
    Keywords: Leishmania donovani ; respiratory burst ; microbicidal activity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract Peritoneal macrophages pretreated with different stimulants were analysed and compared with their respective controls for their ability to kill intracellular pathogenic L. donovani, (MHOM/IN/1983/AG83) an isolate from Indian subcontinent. Stimulation of macrophages by zymosan showed a higher microbicidal activity as compared to that by PMA. A correlation between microbicidal activity of the macrophages and the parameters related to respiratory burst activity such as liberation of 02 −, production of H202 and consumption of 02 was sought. All the parameters showed a decrease in case of infected macrophages in comparison to those of the non-infected ones. Thus, it is possible that the impairment of macrophage activation by intracellular Leishmania contributes to their survival in the toxic environment of the host.
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Journal of materials science 13 (1994), S. 332-334 
    ISSN: 1573-4811
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Journal of materials science 13 (1994), S. 447-450 
    ISSN: 1573-4811
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Journal of materials science 10 (1991), S. 1352-1355 
    ISSN: 1573-4811
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
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  • 7
    ISSN: 1573-4811
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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  • 8
    Publication Date: 2014-08-27
    Description: Motivation: The recent advance in high-throughput sequencing technologies is generating a huge amount of data that are becoming an important resource for deciphering the genotype underlying a given phenotype. Genome sequencing has been extensively applied to the study of the cancer genomes. Although a few methods have been already proposed for the detection of cancer-related genes, their automatic identification is still a challenging task. Using the genomic data made available by The Cancer Genome Atlas Consortium (TCGA), we propose a new prioritization approach based on the analysis of the distribution of putative deleterious variants in a large cohort of cancer samples. Results: In this paper, we present ContastRank, a new method for the prioritization of putative impaired genes in cancer. The method is based on the comparison of the putative defective rate of each gene in tumor versus normal and 1000 genome samples. We show that the method is able to provide a ranked list of putative impaired genes for colon, lung and prostate adenocarcinomas. The list significantly overlaps with the list of known cancer driver genes previously published. More importantly, by using our scoring approach, we can successfully discriminate between TCGA normal and tumor samples. A binary classifier based on ContrastRank score reaches an overall accuracy 〉90% and the area under the curve (AUC) of receiver operating characteristics (ROC) 〉0.95 for all the three types of adenocarcinoma analyzed in this paper. In addition, using ContrastRank score, we are able to discriminate the three tumor types with a minimum overall accuracy of 77% and AUC of 0.83. Conclusions: We describe ContrastRank, a method for prioritizing putative impaired genes in cancer. The method is based on the comparison of exome sequencing data from different cohorts and can detect putative cancer driver genes. ContrastRank can also be used to estimate a global score for an individual genome about the risk of adenocarcinoma based on the genetic variants information from a whole-exome VCF (Variant Calling Format) file. We believe that the application of ContrastRank can be an important step in genomic medicine to enable genome-based diagnosis. Availability and implementation: The lists of ContrastRank scores of all genes in each tumor type are available as supplementary materials . A webserver for evaluating the risk of the three studied adenocarcinomas starting from whole-exome VCF file is under development. Contact: emidio@uab.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 9
    Publication Date: 2012-12-20
    Description: TIGRFAMs, available online at http://www.jcvi.org/tigrfams is a database of protein family definitions. Each entry features a seed alignment of trusted representative sequences, a hidden Markov model (HMM) built from that alignment, cutoff scores that let automated annotation pipelines decide which proteins are members, and annotations for transfer onto member proteins. Most TIGRFAMs models are designated equivalog , meaning they assign a specific name to proteins conserved in function from a common ancestral sequence. Models describing more functionally heterogeneous families are designated subfamily or domain , and assign less specific but more widely applicable annotations. The Genome Properties database, available at http://www.jcvi.org/genome-properties , specifies how computed evidence, including TIGRFAMs HMM results, should be used to judge whether an enzymatic pathway, a protein complex or another type of molecular subsystem is encoded in a genome. TIGRFAMs and Genome Properties content are developed in concert because subsystems reconstruction for large numbers of genomes guides selection of seed alignment sequences and cutoff values during protein family construction. Both databases specialize heavily in bacterial and archaeal subsystems. At present, 4284 models appear in TIGRFAMs, while 628 systems are described by Genome Properties. Content derives both from subsystem discovery work and from biocuration of the scientific literature.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 10
    Publication Date: 1971-03-01
    Print ISSN: 0556-2813
    Electronic ISSN: 1089-490X
    Topics: Physics
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