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      In-silico human genomics with GeneCards

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          Abstract

          Since 1998, the bioinformatics, systems biology, genomics and medical communities have enjoyed a synergistic relationship with the GeneCards database of human genes ( http://www.genecards.org). This human gene compendium was created to help to introduce order into the increasing chaos of information flow. As a consequence of viewing details and deep links related to specific genes, users have often requested enhanced capabilities, such that, over time, GeneCards has blossomed into a suite of tools (including GeneDecks, GeneALaCart, GeneLoc, GeneNote and GeneAnnot) for a variety of analyses of both single human genes and sets thereof. In this paper, we focus on inhouse and external research activities which have been enabled, enhanced, complemented and, in some cases, motivated by GeneCards. In turn, such interactions have often inspired and propelled improvements in GeneCards. We describe here the evolution and architecture of this project, including examples of synergistic applications in diverse areas such as synthetic lethality in cancer, the annotation of genetic variations in disease, omics integration in a systems biology approach to kidney disease, and bioinformatics tools.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations

            Evidence for the etiology of autism spectrum disorders (ASD) has consistently pointed to a strong genetic component complicated by substantial locus heterogeneity 1,2 . We sequenced the exomes of 20 sporadic cases of ASD and their parents, reasoning that these families would be enriched for de novo mutations of major effect. We identified 21 de novo mutations, of which 11 were protein-altering. Protein-altering mutations were significantly enriched for changes at highly conserved residues. We identified potentially causative de novo events in 4/20 probands, particularly among more severely affected individuals, in FOXP1, GRIN2B, SCN1A, and LAMC3. In the FOXP1 mutation carrier, we also observed a rare inherited CNTNAP2 mutation and provide functional support for a multihit model for disease risk 3 . Our results demonstrate that trio-based exome sequencing is a powerful approach for identifying novel candidate genes for ASD and suggest that de novo mutations may contribute substantially to the genetic risk for ASD.
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              Integrated genomic and proteomic analyses of gene expression in Mammalian cells.

              Using DNA microarrays together with quantitative proteomic techniques (ICAT reagents, two-dimensional DIGE, and MS), we evaluated the correlation of mRNA and protein levels in two hematopoietic cell lines representing distinct stages of myeloid differentiation, as well as in the livers of mice treated for different periods of time with three different peroxisome proliferative activated receptor agonists. We observe that the differential expression of mRNA (up or down) can capture at most 40% of the variation of protein expression. Although the overall pattern of protein expression is similar to that of mRNA expression, the incongruent expression between mRNAs and proteins emphasize the importance of posttranscriptional regulatory mechanisms in cellular development or perturbation that can be unveiled only through integrated analyses of both proteins and mRNAs.
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                Author and article information

                Journal
                Hum Genomics
                Hum. Genomics
                Human Genomics
                BioMed Central
                1473-9542
                1479-7364
                2011
                1 October 2011
                : 5
                : 6
                : 709-717
                Affiliations
                [1 ]Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
                [2 ]Emergentec Biodevelopment GmbH, Vienna, Austria
                [3 ]Institute for Theoretical Chemistry, University of Vienna, Vienna, Austria
                [4 ]Seattle Children's Research Institute at the Seattle Children's Hospital, and Informatics Department, School of Medicine, University of Washington, Seattle, WA 98101, USA
                [5 ]Department of Biological Services, Weizmann Institute of Science, Rehovot, 76100, Israel
                Article
                1479-7364-5-6-709
                10.1186/1479-7364-5-6-709
                3525253
                22155609
                22998d15-53fc-4aae-9dc2-2ee983b8cda3
                Copyright ©2011 Henry Stewart Publications
                History
                : 23 May 2011
                : 23 May 2011
                Categories
                Genome Databases

                Genetics
                genomics,genedecks,genetic variations,synthetic lethality,database,human genes,omics,genecards,partner hunter,set distiller

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