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  • 1
    Publication Date: 2004-02-07
    Description: A crucial aim upon completion of whole genome sequences is the functional analysis of all predicted genes. We have applied a high-throughput RNA-interference (RNAi) screen of 19,470 double-stranded (ds) RNAs in cultured cells to characterize the function of nearly all (91%) predicted Drosophila genes in cell growth and viability. We found 438 dsRNAs that identified essential genes, among which 80% lacked mutant alleles. A quantitative assay of cell number was applied to identify genes of known and uncharacterized functions. In particular, we demonstrate a role for the homolog of a mammalian acute myeloid leukemia gene (AML1) in cell survival. Such a systematic screen for cell phenotypes, such as cell viability, can thus be effective in characterizing functionally related genes on a genome-wide scale.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Boutros, Michael -- Kiger, Amy A -- Armknecht, Susan -- Kerr, Kim -- Hild, Marc -- Koch, Britta -- Haas, Stefan A -- Paro, Renato -- Perrimon, Norbert -- Heidelberg Fly Array Consortium -- R01 GM078176/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2004 Feb 6;303(5659):832-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14764878" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Apoptosis ; Cell Cycle ; Cell Survival ; Cells, Cultured ; Computational Biology ; Core Binding Factor Alpha 2 Subunit ; DNA-Binding Proteins/genetics ; Drosophila Proteins/genetics/metabolism/physiology ; Drosophila melanogaster/*genetics/*growth & development ; Genes, Essential ; *Genes, Insect ; *Genome ; Humans ; Inhibitor of Apoptosis Proteins ; Phenotype ; Proteome ; Proto-Oncogene Proteins/genetics ; *RNA Interference ; RNA, Double-Stranded/genetics ; Reproducibility of Results ; Sequence Homology ; Transcription Factors/genetics/metabolism
    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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