961个果蝇和秀丽隐杆线虫转录因子的结合图谱揭示了组织特异性调控关系

IF 6.2 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Genome research Pub Date : 2024-10-22 DOI:10.1101/gr.279037.124
Michelle Kudron, Louis Gewirtzman, Alec Victorsen, Bridget C Lear, Dionne Vafeados, Jiahao Gao, Jinrui Xu, Swapna Samanta, Emily Frink, Adri Tran-Pearson, Chau Hyunh, Ann Hammonds, William Fisher, Martha L Wall, Greg Wesseling, Vanessa Hernandez, Zhichun Lin, Mary Kasparian, Kevin P White, Ravi Allada, Mark Gerstein, LaDeana Hillier, Susan E Celniker, Valerie Reinke, Robert Waterston
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引用次数: 0

摘要

基因组中转录因子(TF)结合位点的目录对于破译调控关系至关重要。在这里,我们展示了模式生物 DNA 元素百科全书(modENCODE)和模式生物调控网络百科全书(modERN)联盟在两个主要模式生物--黑腹果蝇(蝇)和秀丽隐杆线虫(虫)--体内系统检测 TF 结合事件的成果。这些数据集包括 605 个 TF,在果蝇中识别出 360 万个位点,在蠕虫中识别出 356 个 TF,识别出 90 万个位点,代表了每个基因组中的大部分调控空间。我们证明了TFs与染色质结合在称为 "metapeaks "的集群中,较大的metapeaks具有高占位目标(HOT)区域的特征,TFs结合的共识序列基序的重要性取决于metapeaks的大小和复杂程度。将 ChIP-seq 数据与机器学习模型中的单细胞 RNA-seq 数据相结合,可以识别出在促进特定细胞类型中靶基因表达方面具有突出作用的 TFs,甚至可以在胚胎发生过程中区分亲代和子代细胞。这些数据为社区提供了丰富的资源,应能促进和指导未来对 TF 功能的研究。为了方便数据的获取和利用,每个生物体的基因库中心都提供了所有表达 GFP 标记 TF 的菌株。染色质免疫沉淀测序数据可通过 ENCODE 数据协调中心、GEO 以及一个直接界面获取,该界面可快速访问处理过的数据集和摘要分析,以及用于探究细胞类型特异性 TF-靶标关系的小工具。
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Binding profiles for 961 Drosophila and C. elegans transcription factors reveal tissue-specific regulatory relationships
A catalog of transcription factor (TF) binding sites in the genome is critical for deciphering regulatory relationships. Here we present the culmination of the efforts of the Model Organism ENCyclopedia Of DNA Elements (modENCODE) and the model organism Encyclopedia of Regulatory Networks (modERN) consortia to systematically assay TF binding events in vivo in two major model organisms, Drosophila melanogaster (fly) and Caenorhabditis elegans (worm). These datasets comprise 605 TFs identifying 3.6M sites in the fly and 356 TFs identifying 0.9 M sites in the worm and represent the majority of the regulatory space in each genome. We demonstrate that TFs associate with chromatin in clusters termed "metapeaks", that larger metapeaks have characteristics of high occupancy target (HOT) regions, and that the importance of consensus sequence motifs bound by TFs depends on metapeak size and complexity. Combining ChIP-seq data with single cell RNA-seq data in a machine learning model identifies TFs with a prominent role in promoting target gene expression in specific cell types, even differentiating between parent-daughter cells during embryogenesis. These data are a rich resource for the community that should fuel and guide future investigations into TF function. To facilitate data accessibility and utility, all strains expressing GFP-tagged TFs are available at the stock centers for each organism. The chromatin immunoprecipitation sequencing data are available through the ENCODE Data Coordinating Center, GEO, and through a direct interface that provides rapid access to processed data sets and summary analyses, as well as widgets to probe the cell type-specific TF-target relationships.
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来源期刊
Genome research
Genome research 生物-生化与分子生物学
CiteScore
12.40
自引率
1.40%
发文量
140
审稿时长
6 months
期刊介绍: Launched in 1995, Genome Research is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine. Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are presented electronically on the journal''s web site where appropriate. The journal also provides Reviews, Perspectives, and Insight/Outlook articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context.
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