Literature DB >> 24395799

Analysis of chromatin-state plasticity identifies cell-type-specific regulators of H3K27me3 patterns.

Luca Pinello1, Jian Xu, Stuart H Orkin, Guo-Cheng Yuan.   

Abstract

Chromatin states are highly cell-type-specific, but the underlying mechanisms for the establishment and maintenance of their genome-wide patterns remain poorly understood. Here we present a computational approach for investigation of chromatin-state plasticity. We applied this approach to investigate an ENCODE ChIP-seq dataset profiling the genome-wide distributions of the H3K27me3 mark in 19 human cell lines. We found that the high plasticity regions (HPRs) can be divided into two functionally and mechanistically distinct subsets, which correspond to CpG island (CGI) proximal or distal regions, respectively. Although the CGI proximal HPRs are typically associated with continuous variation across different cell-types, the distal HPRs are associated with binary-like variations. We developed a computational approach to predict putative cell-type-specific modulators of H3K27me3 patterns and validated the predictions by comparing with public ChIP-seq data. Furthermore, we applied this approach to investigate mechanisms for poised enhancer establishment in primary human erythroid precursors. Importantly, we predicted and experimentally validated that the principal hematopoietic regulator T-cell acute lymphocytic leukemia-1 (TAL1) is involved in regulating H3K27me3 variations in collaboration with the transcription factor growth factor independent 1B (GFI1B), providing fresh insights into the context-specific role of TAL1 in erythropoiesis. Our approach is generally applicable to investigate the regulatory mechanisms of epigenetic pathways in establishing cellular identity.

Entities:  

Keywords:  hematopoiesis; histone modifications; motifs; polycomb

Mesh:

Substances:

Year:  2014        PMID: 24395799      PMCID: PMC3903219          DOI: 10.1073/pnas.1322570111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  63 in total

1.  Summaries of Affymetrix GeneChip probe level data.

Authors:  Rafael A Irizarry; Benjamin M Bolstad; Francois Collin; Leslie M Cope; Bridget Hobbs; Terence P Speed
Journal:  Nucleic Acids Res       Date:  2003-02-15       Impact factor: 16.971

2.  The profile of repeat-associated histone lysine methylation states in the mouse epigenome.

Authors:  Joost H A Martens; Roderick J O'Sullivan; Ulrich Braunschweig; Susanne Opravil; Martin Radolf; Peter Steinlein; Thomas Jenuwein
Journal:  EMBO J       Date:  2005-01-27       Impact factor: 11.598

3.  Transcription factor AP2 and its role in epidermal-specific gene expression.

Authors:  A Leask; C Byrne; E Fuchs
Journal:  Proc Natl Acad Sci U S A       Date:  1991-09-15       Impact factor: 11.205

4.  Sequential chromatin immunoprecipitation protocol: ChIP-reChIP.

Authors:  Mayra Furlan-Magaril; Héctor Rincón-Arano; Félix Recillas-Targa
Journal:  Methods Mol Biol       Date:  2009

5.  The Gfi-1B proto-oncoprotein represses p21WAF1 and inhibits myeloid cell differentiation.

Authors:  B Tong; H L Grimes; T Y Yang; S E Bear; Z Qin; K Du; W S El-Deiry; P N Tsichlis
Journal:  Mol Cell Biol       Date:  1998-05       Impact factor: 4.272

6.  A stem cell-like chromatin pattern may predispose tumor suppressor genes to DNA hypermethylation and heritable silencing.

Authors:  Joyce E Ohm; Kelly M McGarvey; Xiaobing Yu; Linzhao Cheng; Kornel E Schuebel; Leslie Cope; Helai P Mohammad; Wei Chen; Vincent C Daniel; Wayne Yu; David M Berman; Thomas Jenuwein; Kevin Pruitt; Saul J Sharkis; D Neil Watkins; James G Herman; Stephen B Baylin
Journal:  Nat Genet       Date:  2007-01-09       Impact factor: 38.330

Review 7.  The mammalian epigenome.

Authors:  Bradley E Bernstein; Alexander Meissner; Eric S Lander
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

8.  Acquired mutations in GATA1 in the megakaryoblastic leukemia of Down syndrome.

Authors:  Joshua Wechsler; Marianne Greene; Michael A McDevitt; John Anastasi; Judith E Karp; Michelle M Le Beau; John D Crispino
Journal:  Nat Genet       Date:  2002-08-12       Impact factor: 38.330

9.  Nucleosome positioning signals in genomic DNA.

Authors:  Heather E Peckham; Robert E Thurman; Yutao Fu; John A Stamatoyannopoulos; William Stafford Noble; Kevin Struhl; Zhiping Weng
Journal:  Genome Res       Date:  2007-07-09       Impact factor: 9.043

10.  TRANSFAC: transcriptional regulation, from patterns to profiles.

Authors:  V Matys; E Fricke; R Geffers; E Gössling; M Haubrock; R Hehl; K Hornischer; D Karas; A E Kel; O V Kel-Margoulis; D-U Kloos; S Land; B Lewicki-Potapov; H Michael; R Münch; I Reuter; S Rotert; H Saxel; M Scheer; S Thiele; E Wingender
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

View more
  39 in total

1.  Epigenetic Changes Induced by Bacteroides fragilis Toxin.

Authors:  Jawara Allen; Stephanie Hao; Cynthia L Sears; Winston Timp
Journal:  Infect Immun       Date:  2019-05-21       Impact factor: 3.441

2.  Insight into GATA1 transcriptional activity through interrogation of cis elements disrupted in human erythroid disorders.

Authors:  Aoi Wakabayashi; Jacob C Ulirsch; Leif S Ludwig; Claudia Fiorini; Makiko Yasuda; Avik Choudhuri; Patrick McDonel; Leonard I Zon; Vijay G Sankaran
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-04       Impact factor: 11.205

3.  A Platelet Function Modulator of Thrombin Activation Is Causally Linked to Cardiovascular Disease and Affects PAR4 Receptor Signaling.

Authors:  Benjamin A T Rodriguez; Arunoday Bhan; Andrew Beswick; Peter C Elwood; Teemu J Niiranen; Veikko Salomaa; David-Alexandre Trégouët; Pierre-Emmanuel Morange; Mete Civelek; Yoav Ben-Shlomo; Thorsten Schlaeger; Ming-Huei Chen; Andrew D Johnson
Journal:  Am J Hum Genet       Date:  2020-07-09       Impact factor: 11.025

4.  Haystack: systematic analysis of the variation of epigenetic states and cell-type specific regulatory elements.

Authors:  Luca Pinello; Rick Farouni; Guo-Cheng Yuan
Journal:  Bioinformatics       Date:  2018-06-01       Impact factor: 6.937

5.  Integrative Genomic Analysis Predicts Causative Cis-Regulatory Mechanisms of the Breast Cancer-Associated Genetic Variant rs4415084.

Authors:  Yi Zhang; Mohith Manjunath; Shilu Zhang; Deborah Chasman; Sushmita Roy; Jun S Song
Journal:  Cancer Res       Date:  2018-01-19       Impact factor: 12.701

Review 6.  Recruiting polycomb to chromatin.

Authors:  Ila van Kruijsbergen; Saartje Hontelez; Gert Jan C Veenstra
Journal:  Int J Biochem Cell Biol       Date:  2015-05-14       Impact factor: 5.085

7.  Transcription factors, coregulators, and epigenetic marks are linearly correlated and highly redundant.

Authors:  Tobias Ahsendorf; Franz-Josef Müller; Ved Topkar; Jeremy Gunawardena; Roland Eils
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

8.  Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis.

Authors:  Mark A Gillespie; Carmen G Palii; Daniel Sanchez-Taltavull; Paul Shannon; William J R Longabaugh; Damien J Downes; Karthi Sivaraman; Herbert M Espinoza; Jim R Hughes; Nathan D Price; Theodore J Perkins; Jeffrey A Ranish; Marjorie Brand
Journal:  Mol Cell       Date:  2020-04-23       Impact factor: 17.970

9.  Dynamic Control of Enhancer Repertoires Drives Lineage and Stage-Specific Transcription during Hematopoiesis.

Authors:  Jialiang Huang; Xin Liu; Dan Li; Zhen Shao; Hui Cao; Yuannyu Zhang; Eirini Trompouki; Teresa V Bowman; Leonard I Zon; Guo-Cheng Yuan; Stuart H Orkin; Jian Xu
Journal:  Dev Cell       Date:  2016-01-11       Impact factor: 12.270

10.  Ascl2-Dependent Cell Dedifferentiation Drives Regeneration of Ablated Intestinal Stem Cells.

Authors:  Kazutaka Murata; Unmesh Jadhav; Shariq Madha; Johan van Es; Justin Dean; Alessia Cavazza; Kai Wucherpfennig; Franziska Michor; Hans Clevers; Ramesh A Shivdasani
Journal:  Cell Stem Cell       Date:  2020-02-20       Impact factor: 24.633

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.