Evidence map›Paper›PMID 33238149›Full record

ArticleDevelopmental cell2021

Global and Site-Specific Effect of Phosphorylation on Protein Turnover.

Chongde Wu, Qian Ba, Dayun Lu, Wenxue Li, Barbora Salovska, Pingfu Hou, Torsten Mueller, George Rosenberger, Erli Gao, Yi Di and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Developmental cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
6.8field-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

68 citing papers in PubMed, 102 citations in OpenAlex.

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  5. Age-based approach to characterize the dynamics of cellular processes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  16. Omics landscapes in molecular mechanisms withFood chemistry. Molecular sciences · 2025
    Review
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  20. Article

8 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

13 authors at 5 institutions in 4 countries.

Chongde WuYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Qian BaYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Dayun LuDepartment of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Wenxue LiYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Barbora SalovskaYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA; Department of Genome Integrity, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
Pingfu HouYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Torsten MuellerGerman Cancer Research Center, DKFZ, 69120 Heidelberg, Germany.
George RosenbergerDepartment of Systems Biology, Columbia University, New York, NY, USA.
Erli GaoYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Yi DiYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA.
Hu ZhouDepartment of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Eugenio F FornasieroDepartment of Neuro- and Sensory Physiology, University Medical Center Göttingen, 37073 Göttingen, Germany.
Yansheng LiuYale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA; Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06520, USA. Electronic address: yansheng.liu@yale.edu.
Yale Cancer Center · USChinese Academy of Sciences · CNColumbia University · USGerman Cancer Research Center · DEUniversitätsmedizin Göttingen · DE

Funding

Understanding proteome remodeling in aneuploidyR01GM137031 · NIGMS · YALE UNIVERSITY · PI LIU, YANSHENG · 2020 to 2024
$2.0M
NIGMS NIH HHS R01 GM137031
6 · The paper itself

Abstract

To date, the effects of specific modification types and sites on protein lifetime have not been systematically illustrated. Here, we describe a proteomic method, DeltaSILAC, to quantitatively assess the impact of site-specific phosphorylation on the turnover of thousands of proteins in live cells. Based on the accurate and reproducible mass spectrometry-based method, a pulse labeling approach using stable isotope-labeled amino acids in cells (pSILAC), phosphoproteomics, and a unique peptide-level matching strategy, our DeltaSILAC profiling revealed a global, unexpected delaying effect of many phosphosites on protein turnover. We further found that phosphorylated sites accelerating protein turnover are functionally selected for cell fitness, enriched in Cyclin-dependent kinase substrates, and evolutionarily conserved, whereas the glutamic acids surrounding phosphosites significantly delay protein turnover. Our method represents a generalizable approach and provides a rich resource for prioritizing the effects of phosphorylation sites on protein lifetime in the context of cell signaling and disease biology.

Indexed as

ProteolysisAmino Acid SequenceCell CycleCell Line, TumorCyclin-Dependent KinasesGlutamatesHumansIsotope LabelingMass SpectrometryPeptidesPeroxiredoxin VIPhosphoproteinsPhosphorylationProteomeProteomicsRNA Splicing FactorsCyclin-Dependent KinasesGlutamatesPeptidesPeroxiredoxin VIPhosphoproteinsPRDX6 protein, humanProteomeRNA Splicing FactorsSF3B1 protein, humandata-independent acquisitionDeltaSILACmass spectrometryphosphomodiformphosphorylationprotein lifetimeprotein turnoverproteomicspulse SILAC

Identifiers

PMID33238149
PMCPMC7855865
OpenAlexW3110571152

What OpenQuestion holds

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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.