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          Institute: MPI für molekulare Zellbiologie und Genetik     Collection: Publikationen MPI-CBG 2007     Display Documents



ID: 348598.0, MPI für molekulare Zellbiologie und Genetik / Publikationen MPI-CBG 2007
Genome-scale RNAi profiling of cell division in human tissue culture cells
Authors:Kittler, Ralf; Pelletier, Laurence; Heninger, Anne-Kristine; Slabicki, Mikolaj; Theis, Mirko; Miroslaw, Lukasz; Poser, Ina; Lawo, Steffen; Grabner, Hannes; Kozak, Karol; Wagner, Jan; Surendranath, Vineeth; Richter, Constance; Bowen, Wayne; Jackson, Aimee L.; Habermann, Bianca; Hyman, Anthony A.; Buchholz, Frank
Date of Publication (YYYY-MM-DD):2007
Title of Journal:Nature Cell Biology
Volume:9
Issue / Number:12
Start Page:1401
End Page:1412
Copyright:not available
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:Cell division is fundamental for all organisms. Here we report a genome-scale RNA-mediated interference screen in HeLa cells designed to identify human genes that are important for cell division. We have used a library of endoribonuclease-prepared short interfering RNAs for gene silencing and have used DNA content analysis to identify genes that induced cell cycle arrest or altered ploidy on silencing. Validation and secondary assays were performed to generate a nine-parameter loss-of-function phenoprint for each of the genes. These phenotypic signatures allowed the assignment of genes to specific functional classes by combining hierarchical clustering, cross-species analysis and proteomic data mining. We highlight the richness of our dataset by ascribing novel functions to genes in mitosis and cytokinesis. In particular, we identify two evolutionarily conserved transcriptional regulatory networks that govern cytokinesis. Our work provides an experimental framework from which the systematic analysis of novel genes necessary for cell division in human cells can begin.
External Publication Status:published
Document Type:Article
Communicated by:n. n.
Affiliations:MPI für molekulare Zellbiologie und Genetik
Identifiers:LOCALID:853
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