Evidence map›Paper›PMID 37082146›Full record

ArticleCell genomics2023

Genetic dissection of the pluripotent proteome through multi-omics data integration.

Selcan Aydin, Duy T Pham, Tian Zhang, Gregory R Keele, Daniel A Skelly, Joao A Paulo, Matthew Pankratz, Ted Choi, Steven P Gygi, Laura G Reinholdt and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. MicroRNA Gets a Mighty Award.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Article
  10. Article
  11. Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

13 authors at 4 institutions in 1 country.

Selcan AydinThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Duy T PhamThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Tian ZhangHarvard Medical School, Boston, MA 02115, USA.
Gregory R KeeleThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Daniel A SkellyThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Joao A PauloHarvard Medical School, Boston, MA 02115, USA.
Matthew PankratzPredictive Biology, Inc., Carlsbad, CA 92010, USA.
Ted ChoiPredictive Biology, Inc., Carlsbad, CA 92010, USA.
Steven P GygiHarvard Medical School, Boston, MA 02115, USA.
Laura G ReinholdtThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Christopher L BakerThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Gary A ChurchillThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Steven C MungerThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Jackson Laboratory · USTufts University · USHarvard University · USPredictive Biology (United States) · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Paul Robson · 1985 to 2026
$61.9M
The Mutant Mouse Resource and Research Center at The Jackson LaboratoryU42OD010921 · OD · JACKSON LABORATORY · PI Cathleen M Lutz · 2012 to 2026
$21.4M
Use for ResourceP40OD011102 · OD · JACKSON LABORATORY · PI Steven Carmen Munger, Stephen A Murray · 2012 to 2026
$15.0M
New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Cellular Systems Genetic Approaches to Understanding Regulatory VariationR35GM133724 · NIGMS · JACKSON LABORATORY · PI Christopher Lee Baker · 2019 to 2026
$3.1M
REPRODUCTIVE BIOLOGYT32HD007065 · NICHD · JACKSON LABORATORY · PI BRAUN, ROBERT E · 1985 to 2020
$2.6M
Leveraging Natural Genetic Diversity and Systems Genetics to Elucidate the Complex Hierarchy of Gene Regulation Underlying Ground State Pluripotency, Cell Fate Decisions and Tissue HomeostasisR35GM133495 · NIGMS · JACKSON LABORATORY · PI MUNGER, STEVEN CARMEN · 2019 to 2023
$2.0M
Bayesian Modeling of Mass-Spec Proteomics Data to Advance Studies of the Genetic Regulation of ProteinsF32GM134599 · NIGMS · JACKSON LABORATORY · PI KEELE, GREGORY R · 2020 to 2021
$139k
A new multi-pathway kinase activity assay applied to compound library screening in cancer biologyK99CA273170 · NCI · HARVARD MEDICAL SCHOOL · PI ZHANG, TIAN · 2022 to 2022
$117k
NCI NIH HHS K99 CA273170NCI NIH HHS P30 CA034196NICHD NIH HHS T32 HD007065NIGMS NIH HHS F32 GM134599NIGMS NIH HHS R01 GM067945NIGMS NIH HHS R01 GM070683NIGMS NIH HHS R35 GM133495NIGMS NIH HHS R35 GM133724NIH HHS P40 OD011102NIH HHS U42 OD010921
6 · The paper itself

Abstract

Genetic background drives phenotypic variability in pluripotent stem cells (PSCs). Most studies to date have used transcript abundance as the primary molecular readout of cell state in PSCs. We performed a comprehensive proteogenomics analysis of 190 genetically diverse mouse embryonic stem cell (mESC) lines. The quantitative proteome is highly variable across lines, and we identified pluripotency-associated pathways that were differentially activated in the proteomics data that were not evident in transcriptome data from the same lines. Integration of protein abundance to transcript levels and chromatin accessibility revealed broad co-variation across molecular layers as well as shared and unique drivers of quantitative variation in pluripotency-associated pathways. Quantitative trait locus (QTL) mapping localized the drivers of these multi-omic signatures to genomic hotspots. This study reveals post-transcriptional mechanisms and genetic interactions that underlie quantitative variability in the pluripotent proteome and provides a regulatory map for mESCs that can provide a basis for future mechanistic studies.

Indexed as

chromatin accessibilitydiversity outbred miceembryonic stem cellseQTLground state metastabilitymulti-omics factor analysispluripotencypQTLproteomicstranscriptomics

Identifiers

PMID37082146
PMCPMC10112288
OpenAlexW4360612923

What OpenQuestion holds

Textmetadata
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.