A mouse tissue transcription factor atlas.

A mouse tissue transcription factor atlas.
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小鼠组织转录因子图谱。

DOI:
10.1038/ncomms15089
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发表时间:
2017-04-21
影响因子:
16.6
通讯作者:
Qin J
Qin J
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Zhou Q;Liu M;Xia X;Gong T;Feng J;Liu W;Liu Y;Zhen B;Wang Y;Ding C;Qin J

文献摘要

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转录因子(tf)驱动各种生物过程,从胚胎发育到致癌。在这里,我们采用最近开发的共识TF响应元件串联串联阵列(catTFRE)方法在蛋白质组尺度上分析了24只成年小鼠和8只胎儿小鼠组织中激活的TF。共有941个tf被定量鉴定,占小鼠基因组中tf的60%以上。使用集成组学方法,我们提出了小鼠主要器官中的TF网络,允许数据挖掘和生成知识来阐明TF在各种生物过程中的作用,包括组织类型维持和确定生理系统的一般特征。本研究提供了小鼠组织中tf的概况,可用于阐明转录调控特异性和编程,并作为可能有助于理解由tf调节的疾病的基线。虽然我们在mRNA水平上有丰富的转录因子(TF)结合位点和TF表达的数据,但我们在蛋白质水平上对TF及其dna结合活性的了解较少。在这里,作者通过使用catfre方法分析了24只成年小鼠和8只胎儿小鼠组织中的活性TF,并展示了小鼠主要器官中的TF网络来解决这个问题。
Transcription factors (TFs) drive various biological processes ranging from embryonic development to carcinogenesis. Here, we employ a recently developed concatenated tandem array of consensus TF response elements (catTFRE) approach to profile the activated TFs in 24 adult and 8 fetal mouse tissues on proteome scale. A total of 941 TFs are quantitatively identified, representing over 60% of the TFs in the mouse genome. Using an integrated omics approach, we present a TF network in the major organs of the mouse, allowing data mining and generating knowledge to elucidate the roles of TFs in various biological processes, including tissue type maintenance and determining the general features of a physiological system. This study provides a landscape of TFs in mouse tissues that can be used to elucidate transcriptional regulatory specificity and programming and as a baseline that may facilitate understanding diseases that are regulated by TFs. While we have abundant data for transcription factor (TF) binding sites and TF expression at the mRNA level, our knowledge of TFs at the protein level and their DNA-binding activities is sparser. Here, the authors address this by using the catTFRE approach to profile active TFs in 24 adult and 8 fetal mouse tissues, and presenting the TF networks in major mouse organs.