Evidence map›Paper›PMID 31078527›Full record

ArticleCell systems2019

Multi-omic Profiling Reveals Dynamics of the Phased Progression of Pluripotency.

Pengyi Yang, Sean J Humphrey, Senthilkumar Cinghu, Rajneesh Pathania, Andrew J Oldfield, Dhirendra Kumar, Dinuka Perera, Jean Y H Yang, David E James, Matthias Mann and 1 more

Abstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Article
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  5. KMT2C and KMT2D amplify GRHL2-driven enhancer activation.bioRxiv : the preprint server for biology · 2026
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20 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

11 authors.

Pengyi YangEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA; Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia. Electronic address: pengyi.yang@sydney.edu.au.
Sean J HumphreyDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia. Electronic address: sean.humphrey@sydney.edu.au.
Senthilkumar CinghuEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA.
Rajneesh PathaniaEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA.
Andrew J OldfieldEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA.
Dhirendra KumarEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA.
Dinuka PereraCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.
Jean Y H YangCharles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia.
David E JamesCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Raja JothiEpigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA. Electronic address: jothi@nih.gov.

Funding

Gene regulatory elements, networks, and mechanismsZIAES102625 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JOTHI, RAJA · 2009 to 2025
$27.4M
Intramural NIH HHS ZIA ES102625
6 · The paper itself

Abstract

Pluripotency is highly dynamic and progresses through a continuum of pluripotent stem cell states. The two states that bookend the pluripotency continuum, naive and primed, are well characterized, but our understanding of the intermediate states and transitions between them remains incomplete. Here, we dissect the dynamics of pluripotent state transitions underlying pre- to post-implantation epiblast differentiation. Through comprehensive mapping of the proteome, phosphoproteome, transcriptome, and epigenome of embryonic stem cells transitioning from naive to primed pluripotency, we find that rapid, acute, and widespread changes to the phosphoproteome precede ordered changes to the epigenome, transcriptome, and proteome. Reconstruction of the kinase-substrate networks reveals signaling cascades, dynamics, and crosstalk. Distinct waves of global proteomic changes mark discrete phases of pluripotency, with cell-state-specific surface markers tracking pluripotent state transitions. Our data provide new insights into multi-layered control of the phased progression of pluripotency and a foundation for modeling mechanisms regulating pluripotent state transitions (www.stemcellatlas.org).

Indexed as

AnimalsCell DifferentiationCell LineageEmbryonic Stem CellsEpigenomeGene Expression Regulation, DevelopmentalGerm LayersHumansPluripotent Stem CellsProteomeSignal TransductionTranscriptomeProteomeembryonic developmentembryonic stem cellsepiblastEpiLCformative pluripotencyMAPK/ERKmTORpluripotencyprotein phosphorylationsignaling

Identifiers

PMID31078527
PMCPMC6544180

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.