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ChIP-Hub 为探索植物调控组学提供了一个综合性平台。

ChIP-Hub provides an integrative platform for exploring plant regulome.

机构信息

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China.

Department for Plant Cell and Molecular Biology, Institute for Biology, Humboldt-Universität zu Berlin, 10115, Berlin, Germany.

出版信息

Nat Commun. 2022 Jun 14;13(1):3413. doi: 10.1038/s41467-022-30770-1.

Abstract

Plant genomes encode a complex and evolutionary diverse regulatory grammar that forms the basis for most life on earth. A wealth of regulome and epigenome data have been generated in various plant species, but no common, standardized resource is available so far for biologists. Here, we present ChIP-Hub, an integrative web-based platform in the ENCODE standards that bundles >10,000 publicly available datasets reanalyzed from >40 plant species, allowing visualization and meta-analysis. We manually curate the datasets through assessing ~540 original publications and comprehensively evaluate their data quality. As a proof of concept, we extensively survey the co-association of different regulators and construct a hierarchical regulatory network under a broad developmental context. Furthermore, we show how our annotation allows to investigate the dynamic activity of tissue-specific regulatory elements (promoters and enhancers) and their underlying sequence grammar. Finally, we analyze the function and conservation of tissue-specific promoters, enhancers and chromatin states using comparative genomics approaches. Taken together, the ChIP-Hub platform and the analysis results provide rich resources for deep exploration of plant ENCODE. ChIP-Hub is available at https://biobigdata.nju.edu.cn/ChIPHub/ .

摘要

植物基因组编码了一套复杂且具有进化多样性的调控语法,为地球上的大多数生命形式奠定了基础。目前已经在各种植物物种中生成了大量的调控组和表观基因组数据,但生物学家尚未拥有通用的标准化资源。在这里,我们展示了 ChIP-Hub,这是一个基于 ENCODE 标准的集成式网络平台,它整合了来自超过 40 个植物物种的 >10000 个公开可用的重新分析数据集,允许进行可视化和元分析。我们通过评估约 540 篇原始出版物来手动整理这些数据集,并全面评估其数据质量。作为概念验证,我们广泛调查了不同调控因子的共同关联,并在广泛的发育背景下构建了一个分层调控网络。此外,我们展示了我们的注释如何用于研究组织特异性调控元件(启动子和增强子)及其潜在序列语法的动态活性。最后,我们使用比较基因组学方法分析组织特异性启动子、增强子和染色质状态的功能和保守性。总之,ChIP-Hub 平台和分析结果为深入探索植物 ENCODE 提供了丰富的资源。ChIP-Hub 可在 https://biobigdata.nju.edu.cn/ChIPHub/ 上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edfa/9197862/dbcf11e47021/41467_2022_30770_Fig1_HTML.jpg

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