Integrative analysis of haplotype-resolved epigenomes across human tissues

Danny Leung; Inkyung Jung; Nisha Rajagopal; Anthony Schmitt; Siddarth Selvaraj; Ah Young Lee; Chia An Yen; Shin Lin; Yiing Lin; Yunjiang Qiu; Wei Xie; Feng Yue; Manoj Hariharan; Pradipta Ray; Samantha Kuan; Lee Edsall; Hongbo Yang; Neil C. Chi; Michael Q. Zhang; Joseph R. Ecker; Bing Ren

doi:10.1038/nature14217

Integrative analysis of haplotype-resolved epigenomes across human tissues

Danny Leung
, Inkyung Jung
, Nisha Rajagopal
, Anthony Schmitt
, Siddarth Selvaraj
, Ah Young Lee
, Chia An Yen
, Shin Lin
, Yiing Lin
, Yunjiang Qiu
, Wei Xie
, Feng Yue
, Manoj Hariharan
, Pradipta Ray
, Samantha Kuan
, Lee Edsall
, Hongbo Yang
, Neil C. Chi
, Michael Q. Zhang
, Joseph R. Ecker

Bing Ren

Institute for Personalized Medicine

Research output: Contribution to journal › Article › peer-review

173 Scopus citations

Abstract

Allelic differences between the two homologous chromosomes can affect the propensity of inheritance in humans; however, the extent of such differences in the human genome has yet to be fully explored. Here we delineate allelic chromatin modifications and transcriptomes among a broad set of human tissues, enabled by a chromosome-spanning haplotype reconstruction strategy. The resulting large collection of haplotype-resolved epigenomic maps reveals extensive allelic biases in both chromatin state and transcription, which show considerable variation across tissues and between individuals, and allow us to investigate cis-regulatory relationships between genes and their control sequences. Analyses of histone modification maps also uncover intriguing characteristics of cis-regulatory elements and tissue-restricted activities of repetitive elements. The rich data sets described here will enhance our understanding of the mechanisms by which cis-regulatory elements control gene expression programs.

Original language	English (US)
Pages (from-to)	350-354
Number of pages	5
Journal	Nature
Volume	518
Issue number	7539
DOIs	https://doi.org/10.1038/nature14217
State	Published - Feb 19 2015

All Science Journal Classification (ASJC) codes

General

Access to Document

10.1038/nature14217

Cite this

Leung, D., Jung, I., Rajagopal, N., Schmitt, A., Selvaraj, S., Lee, A. Y., Yen, C. A., Lin, S., Lin, Y., Qiu, Y., Xie, W., Yue, F., Hariharan, M., Ray, P., Kuan, S., Edsall, L., Yang, H., Chi, N. C., Zhang, M. Q., ... Ren, B. (2015). Integrative analysis of haplotype-resolved epigenomes across human tissues. Nature, 518(7539), 350-354. https://doi.org/10.1038/nature14217

@article{1c04bbda99a54910928f8edc4dc16884,

title = "Integrative analysis of haplotype-resolved epigenomes across human tissues",

abstract = "Allelic differences between the two homologous chromosomes can affect the propensity of inheritance in humans; however, the extent of such differences in the human genome has yet to be fully explored. Here we delineate allelic chromatin modifications and transcriptomes among a broad set of human tissues, enabled by a chromosome-spanning haplotype reconstruction strategy. The resulting large collection of haplotype-resolved epigenomic maps reveals extensive allelic biases in both chromatin state and transcription, which show considerable variation across tissues and between individuals, and allow us to investigate cis-regulatory relationships between genes and their control sequences. Analyses of histone modification maps also uncover intriguing characteristics of cis-regulatory elements and tissue-restricted activities of repetitive elements. The rich data sets described here will enhance our understanding of the mechanisms by which cis-regulatory elements control gene expression programs.",

author = "Danny Leung and Inkyung Jung and Nisha Rajagopal and Anthony Schmitt and Siddarth Selvaraj and Lee, \{Ah Young\} and Yen, \{Chia An\} and Shin Lin and Yiing Lin and Yunjiang Qiu and Wei Xie and Feng Yue and Manoj Hariharan and Pradipta Ray and Samantha Kuan and Lee Edsall and Hongbo Yang and Chi, \{Neil C.\} and Zhang, \{Michael Q.\} and Ecker, \{Joseph R.\} and Bing Ren",

note = "Funding Information: Acknowledgements This work is supported by the NIH Epigenome Roadmap Project (U01 ES017166), CIRM RN2-00905-1, NIH ES017166, NSFC 91019016, NBRPC 2012CB316503 and NIH Fellowship Grants F32HL110473 and K99HL119617. We thank A. Kulkarni and J. Wu for help with processing RNA-seq data sets, and Y. He and M. Schultz for discussions regarding allelic analyses of RNA-seq data sets. We also thank members of the Ren laboratory for comments.",

year = "2015",

month = feb,

day = "19",

doi = "10.1038/nature14217",

language = "English (US)",

volume = "518",

pages = "350--354",

journal = "Nature",

issn = "0028-0836",

publisher = "Nature Research",

number = "7539",

}

TY - JOUR

T1 - Integrative analysis of haplotype-resolved epigenomes across human tissues

AU - Leung, Danny

AU - Jung, Inkyung

AU - Rajagopal, Nisha

AU - Schmitt, Anthony

AU - Selvaraj, Siddarth

AU - Lee, Ah Young

AU - Yen, Chia An

AU - Lin, Shin

AU - Lin, Yiing

AU - Qiu, Yunjiang

AU - Xie, Wei

AU - Yue, Feng

AU - Hariharan, Manoj

AU - Ray, Pradipta

AU - Kuan, Samantha

AU - Edsall, Lee

AU - Yang, Hongbo

AU - Chi, Neil C.

AU - Zhang, Michael Q.

AU - Ecker, Joseph R.

AU - Ren, Bing

N1 - Funding Information: Acknowledgements This work is supported by the NIH Epigenome Roadmap Project (U01 ES017166), CIRM RN2-00905-1, NIH ES017166, NSFC 91019016, NBRPC 2012CB316503 and NIH Fellowship Grants F32HL110473 and K99HL119617. We thank A. Kulkarni and J. Wu for help with processing RNA-seq data sets, and Y. He and M. Schultz for discussions regarding allelic analyses of RNA-seq data sets. We also thank members of the Ren laboratory for comments.

PY - 2015/2/19

Y1 - 2015/2/19

N2 - Allelic differences between the two homologous chromosomes can affect the propensity of inheritance in humans; however, the extent of such differences in the human genome has yet to be fully explored. Here we delineate allelic chromatin modifications and transcriptomes among a broad set of human tissues, enabled by a chromosome-spanning haplotype reconstruction strategy. The resulting large collection of haplotype-resolved epigenomic maps reveals extensive allelic biases in both chromatin state and transcription, which show considerable variation across tissues and between individuals, and allow us to investigate cis-regulatory relationships between genes and their control sequences. Analyses of histone modification maps also uncover intriguing characteristics of cis-regulatory elements and tissue-restricted activities of repetitive elements. The rich data sets described here will enhance our understanding of the mechanisms by which cis-regulatory elements control gene expression programs.

AB - Allelic differences between the two homologous chromosomes can affect the propensity of inheritance in humans; however, the extent of such differences in the human genome has yet to be fully explored. Here we delineate allelic chromatin modifications and transcriptomes among a broad set of human tissues, enabled by a chromosome-spanning haplotype reconstruction strategy. The resulting large collection of haplotype-resolved epigenomic maps reveals extensive allelic biases in both chromatin state and transcription, which show considerable variation across tissues and between individuals, and allow us to investigate cis-regulatory relationships between genes and their control sequences. Analyses of histone modification maps also uncover intriguing characteristics of cis-regulatory elements and tissue-restricted activities of repetitive elements. The rich data sets described here will enhance our understanding of the mechanisms by which cis-regulatory elements control gene expression programs.

UR - https://www.scopus.com/pages/publications/84923333199

UR - https://www.scopus.com/pages/publications/84923333199#tab=citedBy

U2 - 10.1038/nature14217

DO - 10.1038/nature14217

M3 - Article

C2 - 25693566

AN - SCOPUS:84923333199

SN - 0028-0836

VL - 518

SP - 350

EP - 354

JO - Nature

JF - Nature

IS - 7539

ER -

Integrative analysis of haplotype-resolved epigenomes across human tissues

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this