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The FunGenES database: a genomics resource for mouse embryonic stem cell differentiation

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Item Type:Article
Title:The FunGenES database: a genomics resource for mouse embryonic stem cell differentiation
Creators Name:Schulz, H. and Kolde, R. and Adler, P. and Aksoy, I. and Anastassiadis, K. and Bader, M. and Billon, N. and Boeuf, H. and Bourillot, P.Y. and Buchholz, F. and Dani, C. and Doss, M.X. and Forrester, L. and Gitton, M. and Henrique, D. and Hescheler, J. and Himmelbauer, H. and Huebner, N. and Karantzali, E. and Kretsovali, A. and Lubitz, S. and Pradier, L. and Rai, M. and Reimand, J. and Rolletschek, A. and Sachinidis, A. and Savatier, P. and Stewart, F. and Storm, M.P. and Trouillas, M. and Vilo, J. and Welham, M.J. and Winkler, J. and Wobus, A.M. and Hatzopoulos, A.K.
Abstract:Embryonic stem (ES) cells have high self-renewal capacity and the potential to differentiate into a large variety of cell types. To investigate gene networks operating in pluripotent ES cells and their derivatives, the "Functional Genomics in Embryonic Stem Cells" consortium (FunGenES) has analyzed the transcriptome of mouse ES cells in eleven diverse settings representing sixty-seven experimental conditions. To better illustrate gene expression profiles in mouse ES cells, we have organized the results in an interactive database with a number of features and tools. Specifically, we have generated clusters of transcripts that behave the same way under the entire spectrum of the sixty-seven experimental conditions; we have assembled genes in groups according to their time of expression during successive days of ES cell differentiation; we have included expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in "Expression Waves" and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic resources. The FunGenES database provides a comprehensive resource for studies into the biology of ES cells.
Keywords:Cell Differentiation, Cell Line, Cluster Analysis, Genetic Databases, Expressed Sequence Tags, Gene Expression Profiling, Genomics, Multigene Family, Oligonucleotide Array Sequence Analysis, Signal Transduction, Software, Stem Cells, Animals, Mice
Source:PLoS ONE
ISSN:1932-6203
Publisher:Public Library of Science (U.S.A.)
Volume:4
Number:9
Page Range:e6804
Date:3 September 2009
Official Publication:https://doi.org/10.1371/journal.pone.0006804
PubMed:View item in PubMed

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