Evidence map›Paper›PMID 25693565›Full record

ArticleNature2015

Transcription factor binding dynamics during human ES cell differentiation.

Alexander M Tsankov, Hongcang Gu, Veronika Akopian, Michael J Ziller, Julie Donaghey, Ido Amit, Andreas Gnirke, Alexander Meissner

Open access · hybridAbstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers.

0numbers the graph read from it
0cells of the map it votes in
234citing papers in PubMed
19.6field-weighted citation impact, top 1% 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

234 citing papers in PubMed, 407 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Stem cells in organogenesis and regeneration.Stem cell research & therapy · 2026
    Review
  8. Article
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174 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Alexander M Tsankov1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Hongcang GuBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Veronika Akopian1] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [2] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Michael J Ziller1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Julie Donaghey1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Ido Amit1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Immunology, Weizmann Institute, Rehovot, 76100 Israel.
Andreas GnirkeBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Alexander Meissner1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Broad Institute · USHarvard Stem Cell Institute · US

Funding

Regulatory Roles and Dynamics of Nuclear long-noncoding RNAs in PluripotencyP01GM099117 · NIGMS · HARVARD UNIVERSITY · PI MEISSNER, ALEXANDER · 2011 to 2021
$21.2M
Center for Cell CircuitsP50HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI REGEV, AVIV · 2011 to 2015
$15.6M
Production sequencing of reference human epigenomesU01ES017155 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERNSTEIN, BRADLEY EVAN, MEISSNER, ALEXANDER · 2008 to 2012
$15.4M
Uncovering the transcription factor networks in early human cell specificationF32DK095537 · NIDDK · HARVARD UNIVERSITY · PI TSANKOV, ALEXANDER MINCHEV · 2013 to 2015
$170k
NHGRI NIH HHS P50HG006193NIDDK NIH HHS 5F32DK095537NIDDK NIH HHS F32 DK095537NIEHS NIH HHS U01 ES017155NIEHS NIH HHS U01ES017155NIGMS NIH HHS P01 GM099117NIGMS NIH HHS P01GM099117
6 · The paper itself

Abstract

Pluripotent stem cells provide a powerful system to dissect the underlying molecular dynamics that regulate cell fate changes during mammalian development. Here we report the integrative analysis of genome-wide binding data for 38 transcription factors with extensive epigenome and transcriptional data across the differentiation of human embryonic stem cells to the three germ layers. We describe core regulatory dynamics and show the lineage-specific behaviour of selected factors. In addition to the orchestrated remodelling of the chromatin landscape, we find that the binding of several transcription factors is strongly associated with specific loss of DNA methylation in one germ layer, and in many cases a reciprocal gain in the other layers. Taken together, our work shows context-dependent rewiring of transcription factor binding, downstream signalling effectors, and the epigenome during human embryonic stem cell differentiation.

Indexed as

Cell DifferentiationCell LineageChromatinChromatin Assembly and DisassemblyDNA MethylationEmbryonic Stem CellsEnhancer Elements, GeneticEpigenesis, GeneticEpigenomicsGenome, HumanGerm LayersHistonesHumansProtein BindingSignal TransductionTranscription FactorsChromatinHistonesTranscription Factors

Identifiers

PMID25693565
PMCPMC4499331
OpenAlexW2102663142

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.