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Genome-wide functional analysis of human cell-cycle regulators

机译:人类细胞周期调节剂的全基因组功能分析

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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-κB 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.
机译:人类细胞已经进化出复杂的信号网络来协调细胞周期。对这一基本过程的全球调控的详细了解需要全面鉴定参与细胞周期进程各个阶段的基因和途径。为此,我们报告了人类细胞周期,细胞大小和增殖的全基因组分析,方法是使用小干扰RNA(siRNA)靶向人类基因组中超过95%的蛋白质编码基因。通过定量荧光显微镜对超过200万张图像的分析表明,消耗1,152个基因强烈影响了细胞周期的进程。这些基因基于停滞阶段,核区域和核形态,分为八个不同的表型类别。特定阶段的网络是通过询问具有确定基因的基于知识和物理相互作用的数据库而建立的。全基因组范围内的细胞周期调节因子分析揭示了许多激酶,磷酸酶和蛋白水解蛋白,并且还表明认为调节G_1-S期进程的过程(如受体介导的信号传导,营养状态和翻译)也起着重要作用。 G_2 / M相变的调控。此外,发现TNF /NF-κB信号必不可少的15个基因调节G_2 / M,这是该途径以前无法预期的作用。这些分析为已知和新基因以及调节细胞周期进程的途径提供了系统级的见识,其中许多可能为癌症治疗提供新的治疗方法。

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