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通过生物信息学和微阵列方法对人类基因组中的p53靶基因进行分析。

Analyses of p53 target genes in the human genome by bioinformatic and microarray approaches.

作者信息

Wang L, Wu Q, Qiu P, Mirza A, McGuirk M, Kirschmeier P, Greene J R, Wang Y, Pickett C B, Liu S

机构信息

Human Genomic Research Department and Tumor Biology Department, Schering-Plough Research Institute, Kenilworth, New Jersey 07033, USA.

出版信息

J Biol Chem. 2001 Nov 23;276(47):43604-10. doi: 10.1074/jbc.M106570200. Epub 2001 Sep 24.

Abstract

The completion of the human genome sequence (International Human Genome Sequence Consortium (2001) Nature 409, 860-921; Venter, J. C., et al. (2001) Science 291, 1304-1351) allows for new ways to analyze global cellular regulatory mechanisms. Here we present a strategy to identify genes regulated by specific transcription factors in the human genome, and apply it to p53. We first collected promoters or introns of all genes available using two methods: GenBank(TM) annotation and a computationally derived transcript map. 4,852 genes analyzed in this way contained at least one p53 consensus binding sequence. Of 13 genes randomly selected for mRNA analysis, 11 were shown to respond to p53 expression. Five promoters were analyzed by chromatin immunoprecipitation, which revealed that all were bound by p53 in vivo. We then analyzed 33,615 unique human genes on cDNA microarrays, identifying 1,501 genes that respond to p53 expression. A parameter was derived that demonstrates that in silico prediction greatly enriches for genes that are activated and repressed by p53 and assists us to suggest other signaling pathways that may be connected to p53. The methods shown here illustrate a novel approach to analysis of global gene regulatory network through the integration of human genomic sequence information and genome-wide gene expression analysis.

摘要

人类基因组序列的完成(国际人类基因组序列联盟(2001年)《自然》409卷,860 - 921页;文特尔,J.C.等人(2001年)《科学》291卷,1304 - 1351页)为分析全球细胞调节机制提供了新方法。在此,我们提出一种在人类基因组中鉴定由特定转录因子调控的基因的策略,并将其应用于p53。我们首先使用两种方法收集所有可用基因的启动子或内含子:GenBank(商标)注释和通过计算得出的转录图谱。以这种方式分析的4852个基因至少包含一个p53共有结合序列。在随机选择用于mRNA分析的13个基因中,有11个显示对p53表达有反应。通过染色质免疫沉淀分析了五个启动子,结果表明所有这些启动子在体内均与p53结合。然后我们在cDNA微阵列上分析了33615个独特的人类基因,鉴定出1501个对p53表达有反应的基因。得出了一个参数,该参数表明计算机模拟预测极大地富集了被p53激活和抑制的基因,并帮助我们推测可能与p53相关的其他信号通路。此处所示方法阐述了一种通过整合人类基因组序列信息和全基因组基因表达分析来分析全球基因调控网络的新方法。

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