Evidence map›Paper›PMID 40650175›Full record

ArticleInternational journal of molecular sciences2025

Turnover Rates and Numbers of Exchangeable Hydrogens in Deuterated Water Labeled Samples.

Henock M Deberneh, Ali Bagherinia, Rovshan G Sadygov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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

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

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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

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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

3 authors.

Henock M DebernehDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, TX 77555, USA.
Ali BagheriniaDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, TX 77555, USA.
Rovshan G SadygovDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, TX 77555, USA.ORCID 0000-0003-1590-155X

Funding

Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MSR01GM112044 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SADYGOV, ROVSHAN G · 2015 to 2023
$2.7M
Protein turnover estimation from fragment ions and precursor enrichment in heavy water labeled LC-MS experimentsR01GM149762 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rovshan G Sadygov · 2024 to 2026
$1.1M
NIGMS NIH HHS R01 GM112044NIGMS NIH HHS R01 GM149762NIH HHS 1R01GM149762-01A1NIH HHS 5R01GM112044-08
6 · The paper itself

Abstract

Metabolic labeling with deuterated water is used in combination with liquid-chromatography coupled with mass spectrometry to study the turnover rates of individual proteins in vivo. This technique and bioinformatics tools for data analysis quantify the turnover rates of thousands of proteins. Turnover rates change during organismal growth and respond to alterations in the environment and diet. The accurate and statistically significant determination of the turnover rate changes of a protein depend on the variations in the turnover rates of the peptides of the protein. One of the systematic factors contributing to this variability is the dependence of the turnover rates on the number of exchangeable hydrogens of the peptides. This variability (by reducing the statistical power) reduces biological interpretability. Here, we propose a computational approach to eliminate the dependence of the turnover rates on the number of exchangeable hydrogens. This approach enhances the accuracy of turnover rate estimation and may help to support more accurate assessments of biological dynamics and disease mechanisms.

Indexed as

DeuteriumProteinsWaterChromatography, LiquidIsotope LabelingMass SpectrometryPeptidesDeuteriumPeptidesProteinsWaterdeuterated water labelingprotein turnoverthe number of exchangeable hydrogens

Identifiers

PMID40650175
PMCPMC12249490

What Socratic holds

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Registered trials

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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 Socratic graph.