Evidence map›Paper›PMID 20622861›Full record

ArticleNature methods2010

Genome-wide chromatin maps derived from limited numbers of hematopoietic progenitors.

Mazhar Adli, Jiang Zhu, Bradley E Bernstein

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% of its field
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

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 160 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Profiling Chromatin Accessibility at Single-cell Resolution.Genomics, proteomics & bioinformatics · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Review
  19. Article
  20. Article

39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Mazhar AdliHoward Hughes Medical Institute, Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Jiang Zhu
Bradley E Bernstein
Center for Systems Biology · USHarvard University · USHoward Hughes Medical Institute · US

Funding

Production sequencing of reference human epigenomesU01ES017155 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERNSTEIN, BRADLEY EVAN, MEISSNER, ALEXANDER · 2008 to 2012
$15.4M
High-throughput sequencing of chromatin regulatory elementsU54HG004570 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERNSTEIN, BRADLEY EVAN · 2007 to 2011
$8.1M
Massively-parallel sequencing technology for the epigenomeR01HG004401 · NHGRI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI GREALLY, JOHN · 2007 to 2009
$1.5M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG004401NHGRI NIH HHS U54 HG004570NIEHS NIH HHS U01 ES017155
6 · The paper itself

Abstract

Current methods for whole-genome mapping of protein-DNA interactions, performed by coupling chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq), require large amounts of starting materials, which precludes their application to rare cell types. Here we combine a high-sensitivity ChIP assay with a new library preparation procedure to map histone modifications in as few as 10,000 cells. We used the technique to characterize mouse hematopoietic progenitors and thereby gain insight into their developmental program.

Indexed as

Hematopoietic Stem CellsAnimalsChromatin ImmunoprecipitationChromosome MappingDNA-Binding ProteinsGene LibraryHistonesMiceSequence Analysis, DNADNA-Binding ProteinsHistones

Identifiers

PMID20622861
PMCPMC2924612
OpenAlexW2154842246

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.