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源自原发性肺腺癌微阵列的癌症标志物的保守转录因子结合位点

Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays.

作者信息

Yap Yee Leng, Lam David C L, Luc Girard, Zhang Xue Wu, Hernandez David, Gras Robin, Wang Elaine, Chiu S W, Chung Lap Ping, Lam W K, Smith David K, Minna John D, Danchin Antoine, Wong Maria P

机构信息

HKU-Pasteur Research Centre Dexter H.C. Man Building, 8 Sassoon Road Pokfulam, Hong Kong, China.

出版信息

Nucleic Acids Res. 2005 Jan 14;33(1):409-21. doi: 10.1093/nar/gki188. Print 2005.

Abstract

Gene transcription in a set of 49 human primary lung adenocarcinomas and 9 normal lung tissue samples was examined using Affymetrix GeneChip technology. A total of 3442 genes, called the set M AD, were found to be either up- or down-regulated by at least 2-fold between the two phenotypes. Genes assigned to a particular gene ontology term were found, in many cases, to be significantly unevenly distributed between the genes in and outside M AD. Terms that were overrepresented in M AD included functions directly implicated in the cancer cell metabolism. Based on their functional roles and expression profiles, genes in M AD were grouped into likely co-regulated gene sets. Highly conserved sequences in the 5 kb region upstream of the genes in these sets were identified with the motif discovery tool, MoDEL. Potential oncogenic transcription factors and their corresponding binding sites were identified in these conserved regions using the TRANSFAC 8.3 database. Several of the transcription factors identified in this study have been shown elsewhere to be involved in oncogenic processes. This study searched beyond phenotypic gene expression profiles in cancer cells, in order to identify the more important regulatory transcription factors that caused these aberrations in gene expression.

摘要

使用Affymetrix基因芯片技术检测了49例人原发性肺腺癌组织和9例正常肺组织样本中的基因转录情况。共发现3442个基因(称为集合M AD)在两种表型之间上调或下调至少2倍。在许多情况下,发现分配到特定基因本体术语的基因在M AD内外的基因之间分布明显不均。M AD中过度表达的术语包括直接参与癌细胞代谢的功能。根据其功能作用和表达谱,将M AD中的基因分组为可能共同调控的基因集。使用基序发现工具MoDEL鉴定了这些基因集上游5 kb区域中的高度保守序列。使用TRANSFAC 8.3数据库在这些保守区域中鉴定了潜在的致癌转录因子及其相应的结合位点。本研究中鉴定的几种转录因子在其他地方已被证明参与致癌过程。本研究超越了癌细胞中的表型基因表达谱,以鉴定导致这些基因表达异常的更重要的调控转录因子。

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