Evidence map›Paper›PMID 25327398›Full record

ArticleNature communications2014

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

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Epigenomic and epigenetic investigations of food allergy.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Epigenetics and developmental origins of diabetes: correlation or causation?American journal of physiology. Endocrinology and metabolism · 2018
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Population Epigenetics.Current opinion in systems biology · 2017
    Article
  16. PeerJ · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

N Ari Wijetunga *Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Fabien Delahaye *Department of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Yong Mei ZhaoDepartment of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Aaron GoldenCenter for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Jessica C MarDepartment of Computational and Systems Biology, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Francine H EinsteinDepartment of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
John M GreallyCenter for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
Genome-wide DNA Methylation Profiles Associated with Abnormal Intrauterine GrowthR01HD063791 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI GREALLY, JOHN, HUGHES EINSTEIN, FRANCINE · 2009 to 2013
$2.0M
NCI NIH HHS P30 CA013330NICHD NIH HHS R01 HD063791NIGMS NIH HHS T32 GM007288
6 · The paper itself

Abstract

The mechanism and significance of epigenetic variability in the same cell type between healthy individuals are not clear. Here we purify human CD34+ haematopoietic 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.

Indexed as

DNA MethylationEpigenomicsAlgorithmsAntigens, CD34Cell DifferentiationCell LineageChromatinChromosome MappingCpG IslandsEpigenesis, GeneticGene Expression ProfilingHematopoietic Stem CellsHistonesHumansLeukocytesPolymorphism, GeneticAntigens, CD34ChromatinHistones

Identifiers

PMID25327398
PMCPMC4300104

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.