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PCSD:一个植物染色质状态数据库。

PCSD: a plant chromatin state database.

机构信息

State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D1157-D1167. doi: 10.1093/nar/gkx919.

Abstract

Genome-wide maps of chromatin states have become a powerful representation of genome annotation and regulatory activity. We collected public and in-house plant epigenomic data sets and applied a Hidden Markov Model to define chromatin states, which included 290 553 (36 chromatin states), 831 235 (38 chromatin states) and 3 936 844 (26 chromatin states) segments across the whole genome of Arabidopsis thaliana, Oryza sativa and Zea mays, respectively. We constructed a Plant Chromatin State Database (PCSD, http://systemsbiology.cau.edu.cn/chromstates) to integrate detailed information about chromatin states, including the features and distribution of states, segments in states and related genes with segments. The self-organization mapping (SOM) results for these different chromatin signatures and UCSC Genome Browser for visualization were also integrated into the PCSD database. We further provided differential SOM maps between two epigenetic marks for chromatin state comparison and custom tools for new data analysis. The segments and related genes in SOM maps can be searched and used for motif and GO analysis, respectively. In addition, multi-species integration can be used to discover conserved features at the epigenomic level. In summary, our PCSD database integrated the identified chromatin states with epigenetic features and may be beneficial for communities to discover causal functions hidden in plant chromatin.

摘要

全基因组染色质状态图谱已成为基因组注释和调控活性的有力表示。我们收集了公共和内部植物表观基因组数据集,并应用隐马尔可夫模型来定义染色质状态,这些状态包括拟南芥、水稻和玉米全基因组中的 290553 个(36 个染色质状态)、831235 个(38 个染色质状态)和 3936844 个(26 个染色质状态)片段。我们构建了一个植物染色质状态数据库(PCSD,http://systemsbiology.cau.edu.cn/chromstates),以整合有关染色质状态的详细信息,包括状态的特征和分布、状态中的片段以及与片段相关的基因。这些不同染色质特征的自组织映射(SOM)结果和用于可视化的 UCSC 基因组浏览器也被整合到 PCSD 数据库中。我们还提供了两个表观遗传标记之间的差异 SOM 图谱,用于进行染色质状态比较,并为新的数据分析提供了定制工具。SOM 图谱中的片段和相关基因可以分别用于搜索和进行基序和 GO 分析。此外,多物种整合可用于发现表观基因组水平上的保守特征。总之,我们的 PCSD 数据库整合了已识别的染色质状态及其表观遗传特征,这可能有助于社区发现隐藏在植物染色质中的因果功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ed/5753246/d4271bc8bb96/gkx919fig1.jpg

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