Evidence map›Paper›PMID 42186329›Full record

ArticleProteomics2026

High-throughput Phosphoproteomics Reveals the Role of Phosphorylation in Pluripotency and Phase Separation.

Yanna Tang, Haiming Huang, Ting Wu, Jialin Du, Lu Pang, Hongyun Yang, Haixia Li, Jinhuan Wei, Qian Ma

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yanna TangDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Haiming HuangDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Ting WuDepartment of Urology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jialin DuDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Lu PangDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Hongyun YangDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Haixia LiDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Jinhuan WeiDepartment of Urology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Qian MaDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.

Funding

Beijing Natural Science Foundation 7262128General Program of Natural Science Foundation of Guangdong Province 2026A1515012753National Natural Science Foundation of China 82200178National Natural Science Foundation of China 82573502
6 · The paper itself

Abstract

Phosphorylation is a key post-translational modification involved in many cellular processes. Embryonic stem cells (ESCs), characterized by their self-renewal capacity and pluripotent differentiation potential, are widely used in studies of developmental biology and regenerative medicine. However, existing phosphoproteomic data for ESCs remain limited in throughput, restricting our understanding of phosphorylation-mediated regulatory mechanisms. In this study, we performed high-throughput phosphoproteomic profiling and identified 3711 phosphoproteins and 11,410 phosphosites. Integrated analyses showed that nearly half of the interacting proteins of the core pluripotency factors OCT4, SOX2, and NANOG are phosphorylated. Moreover, we found that phosphorylation is more prevalent in scaffold proteins involved in phase separation compared to clients and regulators, and is highly enriched in specific membraneless organelles, such as those in stress granules and Cajal bodies. Together, these findings provide a valuable resource for phosphoproteomics and offer important insights into the role of phosphorylation in pluripotency and phase separation.

Indexed as

Embryonic Stem CellsPhosphoproteinsPluripotent Stem CellsProteomicsAnimalsCell DifferentiationMiceNanog Homeobox ProteinOctamer Transcription Factor-3Phase SeparationPhosphorylationProtein Processing, Post-TranslationalNanog Homeobox ProteinOctamer Transcription Factor-3Phosphoproteinsembryonic stem cellsphosphorylationpluripotency

Identifiers

PMID42186329
PMCPMC13519381

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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.