Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences

N. Ari Wijetunga, Fabien Delahaye, Yong Mei Zhao, Aaron Golden, Jessica C. Mar, Francine H. Einstein, John M. Greally
doi: https://doi.org/10.1101/007591
N. Ari Wijetunga
1Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fabien Delahaye
2Department of Obstetrics & Gynecology and Women’s Health and Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yong Mei Zhao
2Department of Obstetrics & Gynecology and Women’s Health and Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aaron Golden
1Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jessica C. Mar
3Department of Computational and Systems Biology, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francine H. Einstein
2Department of Obstetrics & Gynecology and Women’s Health and Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: francine.einstein@einstein.yu.edu john.greally@einstein.yu.edu
John M. Greally
1Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: francine.einstein@einstein.yu.edu john.greally@einstein.yu.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

The mechanism and significance of epigenetic variability in the same cell type between healthy individuals are not clear. Here, we purify human CD34+ hematopoietic stem and progenitor cells (HSPCs) from different individuals and find that there is increased variability of DNA methylation at loci with properties of promoters and enhancers. The variability is especially enriched at candidate enhancers near genes transitioning between silent and expressed states, and encoding proteins with leukocyte differentiation properties. Our findings of increased variability at loci with intermediate DNA methylation values, at candidate “poised” enhancers, and at genes involved in HSPC lineage commitment suggest that CD34+ cell subtype heterogeneity between individuals is a major mechanism for the variability observed. Epigenomic studies performed on cell populations, even when purified, are testing collections of epigenomes, or meta-epigenomes. Our findings show that meta-epigenomic approaches to data analysis can provide insights into cell subpopulation structure.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted August 01, 2014.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences
N. Ari Wijetunga, Fabien Delahaye, Yong Mei Zhao, Aaron Golden, Jessica C. Mar, Francine H. Einstein, John M. Greally
bioRxiv 007591; doi: https://doi.org/10.1101/007591
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences
N. Ari Wijetunga, Fabien Delahaye, Yong Mei Zhao, Aaron Golden, Jessica C. Mar, Francine H. Einstein, John M. Greally
bioRxiv 007591; doi: https://doi.org/10.1101/007591

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (2543)
  • Biochemistry (4994)
  • Bioengineering (3497)
  • Bioinformatics (15279)
  • Biophysics (6926)
  • Cancer Biology (5427)
  • Cell Biology (7771)
  • Clinical Trials (138)
  • Developmental Biology (4558)
  • Ecology (7180)
  • Epidemiology (2059)
  • Evolutionary Biology (10261)
  • Genetics (7532)
  • Genomics (9826)
  • Immunology (4899)
  • Microbiology (13304)
  • Molecular Biology (5165)
  • Neuroscience (29568)
  • Paleontology (203)
  • Pathology (842)
  • Pharmacology and Toxicology (1470)
  • Physiology (2153)
  • Plant Biology (4780)
  • Scientific Communication and Education (1015)
  • Synthetic Biology (1343)
  • Systems Biology (4022)
  • Zoology (771)