Literature DB >> 17001007

Genome-wide functional analysis of human cell-cycle regulators.

Mridul Mukherji1, Russell Bell, Lubica Supekova, Yan Wang, Anthony P Orth, Serge Batalov, Loren Miraglia, Dieter Huesken, Joerg Lange, Christopher Martin, Sudhir Sahasrabudhe, Mischa Reinhardt, Francois Natt, Jonathan Hall, Craig Mickanin, Mark Labow, Sumit K Chanda, Charles Y Cho, Peter G Schultz.   

Abstract

Human cells have evolved complex signaling networks to coordinate the cell cycle. A detailed understanding of the global regulation of this fundamental process requires comprehensive identification of the genes and pathways involved in the various stages of cell-cycle progression. To this end, we report a genome-wide analysis of the human cell cycle, cell size, and proliferation by targeting >95% of the protein-coding genes in the human genome using small interfering RNAs (siRNAs). Analysis of >2 million images, acquired by quantitative fluorescence microscopy, showed that depletion of 1,152 genes strongly affected cell-cycle progression. These genes clustered into eight distinct phenotypic categories based on phase of arrest, nuclear area, and nuclear morphology. Phase-specific networks were built by interrogating knowledge-based and physical interaction databases with identified genes. Genome-wide analysis of cell-cycle regulators revealed a number of kinase, phosphatase, and proteolytic proteins and also suggests that processes thought to regulate G(1)-S phase progression like receptor-mediated signaling, nutrient status, and translation also play important roles in the regulation of G(2)/M phase transition. Moreover, 15 genes that are integral to TNF/NF-kappaB signaling were found to regulate G(2)/M, a previously unanticipated role for this pathway. These analyses provide systems-level insight into both known and novel genes as well as pathways that regulate cell-cycle progression, a number of which may provide new therapeutic approaches for the treatment of cancer.

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Year:  2006        PMID: 17001007      PMCID: PMC1595435          DOI: 10.1073/pnas.0604320103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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5.  A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen.

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