ReviewMolecular & cellular proteomics : MCP2021
Proteome Turnover in the Spotlight: Approaches, Applications, and Perspectives.
Review in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.
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.
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.
Who cites it
90 citing papers in PubMed.
- Nutrient deprivation enhances the cytotoxic effects of a sulfonamide-chalcone hybrid in PC-3 prostate cancer cells.Molecular and cellular biochemistry · 2026Article
- Palm Mixed-Carotenes Modulate Viability, Wound Closure and Osteoprotegerin mRNA Expression in Human Periodontal Ligament Stem Cells.Biomedicines · 2026Article
- Structural proteomics reveals that misfolded nascent proteins expose buried lysines for ubiquitination and rapid proteasomal degradation.Cell reports · 2026Article
- Ontological Analysis of Brain Proteostasis Highlights the Sex-Dependent Trajectory of ApoE Isoform-Specific Regulation.bioRxiv : the preprint server for biology · 2026Article
- Metabolic and cellular physiological differences between embryonic breast and leg muscle satellite cells in chickens.Poultry science · 2026Article
- Post-transcriptional regulatory networks: The dynamic interplay of RNA-binding proteins.The FEBS journal · 2026Review
- Consensus statement on mass spectrometry-based proteomic analysis of cardiac tissue.Nature cardiovascular research · 2026Article
- EnzymeTuning improves enzyme-constrained metabolic modeling and proteome abundance prediction through deep learning.Nature communications · 2026Article
- Age-based approach to characterize the dynamics of cellular processes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Protocol to measure protein half-life in cell culture using heavy water.STAR protocols · 2026Article
- Methyl-Lysine-Dependent Control of Protein Lifetime Through Lysine-Node Crosstalk and Reader-Coupled Degradation.Biology · 2026Review
- A Gold-PROTAC Degrades the Oncogenic Tyrosine Kinase MERTK: Insights into the Degradome from a Steady-State System.ACS chemical biology · 2026Article
- Multiomics profiling of zebrafish embryonic cell line PAC2 across growth phases to assess its relevance for toxicological studies.PloS one · 2026Article
- Article
- Coupling mechanisms coordinating mRNA translation with stages of the mRNA lifecycle.RNA biology · 2025Review
- Duplexing metabolic deuterated water-labeled samples using dimethyl labeling to estimate protein turnover rates.Communications chemistry · 2025Article
- NFATc1 drives Orai3 transcription and proteolysis by harnessing epigenome differences in the MARCH8 promoter.The EMBO journal · 2025Article
- Combining quantum cascade lasers and plasmonic metasurfaces to monitorNanophotonics (Berlin, Germany) · 2025Article
- Identifying protease-activated targets and exploring therapeutic applications.Expert opinion on therapeutic targets · 2025Review
- Sibling species differently distributed around a COScientific reports · 2025Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In all cells, proteins are continuously synthesized and degraded to maintain protein homeostasis and modify gene expression levels in response to stimuli. Collectively, the processes of protein synthesis and degradation are referred to as protein turnover. At a steady state, protein turnover is constant to maintain protein homeostasis, but in dynamic responses, proteins change their rates of synthesis and degradation to adjust their proteomes to internal or external stimuli. Thus, probing the kinetics and dynamics of protein turnover lends insight into how cells regulate essential processes such as growth, differentiation, and stress response. Here, we outline historical and current approaches to measuring the kinetics of protein turnover on a proteome-wide scale in both steady-state and dynamic systems, with an emphasis on metabolic tracing using stable isotope-labeled amino acids. We highlight important considerations for designing proteome turnover experiments, key biological findings regarding the conserved principles of proteome turnover regulation, and future perspectives for both technological and biological investigation.
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Registered trials
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.