Cargando…

PCSD: a plant chromatin state database

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yue, Tian, Tian, Zhang, Kang, You, Qi, Yan, Hengyu, Zhao, Nannan, Yi, Xin, Xu, Wenying, Su, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753246/
https://www.ncbi.nlm.nih.gov/pubmed/29040761
http://dx.doi.org/10.1093/nar/gkx919
_version_ 1783290239664521216
author Liu, Yue
Tian, Tian
Zhang, Kang
You, Qi
Yan, Hengyu
Zhao, Nannan
Yi, Xin
Xu, Wenying
Su, Zhen
author_facet Liu, Yue
Tian, Tian
Zhang, Kang
You, Qi
Yan, Hengyu
Zhao, Nannan
Yi, Xin
Xu, Wenying
Su, Zhen
author_sort Liu, Yue
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5753246
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-57532462018-01-05 PCSD: a plant chromatin state database Liu, Yue Tian, Tian Zhang, Kang You, Qi Yan, Hengyu Zhao, Nannan Yi, Xin Xu, Wenying Su, Zhen Nucleic Acids Res Database Issue 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. Oxford University Press 2018-01-04 2017-10-10 /pmc/articles/PMC5753246/ /pubmed/29040761 http://dx.doi.org/10.1093/nar/gkx919 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Liu, Yue
Tian, Tian
Zhang, Kang
You, Qi
Yan, Hengyu
Zhao, Nannan
Yi, Xin
Xu, Wenying
Su, Zhen
PCSD: a plant chromatin state database
title PCSD: a plant chromatin state database
title_full PCSD: a plant chromatin state database
title_fullStr PCSD: a plant chromatin state database
title_full_unstemmed PCSD: a plant chromatin state database
title_short PCSD: a plant chromatin state database
title_sort pcsd: a plant chromatin state database
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753246/
https://www.ncbi.nlm.nih.gov/pubmed/29040761
http://dx.doi.org/10.1093/nar/gkx919
work_keys_str_mv AT liuyue pcsdaplantchromatinstatedatabase
AT tiantian pcsdaplantchromatinstatedatabase
AT zhangkang pcsdaplantchromatinstatedatabase
AT youqi pcsdaplantchromatinstatedatabase
AT yanhengyu pcsdaplantchromatinstatedatabase
AT zhaonannan pcsdaplantchromatinstatedatabase
AT yixin pcsdaplantchromatinstatedatabase
AT xuwenying pcsdaplantchromatinstatedatabase
AT suzhen pcsdaplantchromatinstatedatabase