Evidence map›Paper›PMID 40100644›Full record

ArticleJournal of proteome research2025

Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection.

Jordan Currie, Dominic C M Ng, Boomathi Pandi, Alexander Black, Vyshnavi Manda, Cheyanne Durham, Jay Pavelka, Maggie P Y Lam, Edward Lau

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jordan CurrieDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Dominic C M NgDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Boomathi PandiDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Alexander BlackDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Vyshnavi MandaDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Cheyanne DurhamDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Jay PavelkaDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Maggie P Y LamDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
Edward LauDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.ORCID 0000-0001-9083-5922

Funding

Alternative Protein Isoforms in Ventricular RemodelingR01HL141278 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Maggie Lam · 2018 to 2026
$3.5M
Post-transcriptional regulations of proteomes in stress and senescenceR01GM144456 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI LAM, MAGGIE · 2022 to 2025
$2.2M
Investigations of Proteome Turnover Kinetics Under Cellular DifferentiationR35GM146815 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Edward Lau · 2022 to 2026
$2.1M
Extracellular matrix turnover in pathological cardiac remodelingR01HL169473 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Maggie Lam, Edward Lau · 2024 to 2026
$1.7M
NHLBI NIH HHS R01 HL141278NHLBI NIH HHS R01 HL169473NIGMS NIH HHS R01 GM144456NIGMS NIH HHS R35 GM146815
6 · The paper itself

Abstract

The synthesis and degradation rates of proteins form an essential component of gene expression control. Heavy water labeling has been used in conjunction with mass spectrometry to measure protein turnover rates, but the optimal analytical approaches to derive turnover rates from the mass isotopomer patterns of deuterium-labeled peptides continue to be a subject of research. Here, we describe a method that comprises (1) a nearest lookup of numerically approximated peptide isotope envelopes, coupled to (2) the selection of optimal mass isotopomer pairs based on peptide sequence rules, to calculate the molar fraction of new peptide synthesis in heavy water labeling mass spectrometry experiments. We validated our approach using an experimental calibration standard comprising mixtures of fully unlabeled and fully labeled proteomes. We then reanalyzed 17 proteome-wide turnover experiments from four mouse organs across multiple data sets and showed that the combined nearest-lookup and rule-based mass isotopomer ratio selection method increases the coverage of well-fitted peptides in protein turnover experiments by up to 58 ± 13%. The workflow is implemented in the Riana software tool for protein turnover analysis and may avail ongoing efforts to study the synthesis and degradation kinetics of proteins in animals on a proteome-wide scale.

Indexed as

Deuterium OxideIsotope LabelingProteinsProteomeProteomicsAnimalsDeuteriumMass SpectrometryMicePeptidesProteolysisSoftwareWaterDeuteriumDeuterium OxidePeptidesProteinsProteomeWaterdeuteriumheavy watermass isotopomermass spectrometryprotein turnoversoftware

Identifiers

PMID40100644
PMCPMC11977540

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.