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研究资源:核受体信号传导的组织特异性转录组学和顺式作用元件组学:一个网络研究资源。

Research resource: Tissue-specific transcriptomics and cistromics of nuclear receptor signaling: a web research resource.

作者信息

Ochsner Scott A, Watkins Christopher M, LaGrone Benjamin S, Steffen David L, McKenna Neil J

机构信息

Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.

出版信息

Mol Endocrinol. 2010 Oct;24(10):2065-9. doi: 10.1210/me.2010-0216. Epub 2010 Aug 4.

Abstract

Nuclear receptors (NRs) are ligand-regulated transcription factors that recruit coregulators and other transcription factors to gene promoters to effect regulation of tissue-specific transcriptomes. The prodigious rate at which the NR signaling field has generated high content gene expression and, more recently, genome-wide location analysis datasets has not been matched by a committed effort to archiving this information for routine access by bench and clinical scientists. As a first step towards this goal, we searched the MEDLINE database for studies, which referenced either expression microarray and/or genome-wide location analysis datasets in which a NR or NR ligand was an experimental variable. A total of 1122 studies encompassing 325 unique organs, tissues, primary cells, and cell lines, 35 NRs, and 91 NR ligands were retrieved and annotated. The data were incorporated into a new section of the Nuclear Receptor Signaling Atlas Molecule Pages, Transcriptomics and Cistromics, for which we designed an intuitive, freely accessible user interface to browse the studies. Each study links to an abstract, the MEDLINE record, and, where available, Gene Expression Omnibus and ArrayExpress records. The resource will be updated on a regular basis to provide a current and comprehensive entrez into the sum of transcriptomic and cistromic research in this field.

摘要

核受体(NRs)是配体调控的转录因子,可招募共调节因子和其他转录因子至基因启动子,以实现对组织特异性转录组的调控。核受体信号传导领域生成高内涵基因表达数据以及最近全基因组定位分析数据集的速度惊人,但却没有相应地致力于将这些信息存档,以供实验室和临床科学家常规访问。作为朝着这一目标迈出的第一步,我们在MEDLINE数据库中搜索了相关研究,这些研究引用了以NR或NR配体作为实验变量的表达微阵列和/或全基因组定位分析数据集。总共检索并注释了1122项研究,涵盖325个独特的器官、组织、原代细胞和细胞系、35种核受体以及91种核受体配体。这些数据被纳入核受体信号图谱分子页面的一个新部分,即转录组学和顺式作用组学,我们为此设计了一个直观、可免费访问的用户界面来浏览这些研究。每项研究都链接到一篇摘要、MEDLINE记录,以及在可用情况下的基因表达综合数据库(Gene Expression Omnibus)和ArrayExpress记录。该资源将定期更新,以便为该领域的转录组学和顺式作用组学研究的总和提供一个最新且全面的入口。

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引用本文的文献

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Physiol Genomics. 2012 Sep 1;44(17):853-63. doi: 10.1152/physiolgenomics.00033.2012. Epub 2012 Jul 10.
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