Evidence map›Paper›PMID 41529186›Full record

ArticleJournal of proteome research2026

On the Feasibility of Clinical Studies with Cross-Linking Mass Spectrometry.

Sung-Gun Park, Ethan L Ostrom, Sophia Liu, David J Marcinek, James E Bruce

Abstract read
In one paragraph

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

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

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

5 authors.

Sung-Gun ParkDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195 United States.
Ethan L OstromDepartment of Biological Sciences, Northern Arizona University, Flagstaff, Arizona 86011 United States.
Sophia LiuDepartment of Radiology, University of Washington Seattle Washington 98195 United States.
David J MarcinekDepartment of Radiology, University of Washington Seattle Washington 98195 United States.
James E BruceDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195 United States.ORCID 0000-0001-6441-6089

Funding

Dynamics of the cellular interactomeR35GM136255 · NIGMS · UNIVERSITY OF WASHINGTON · PI James Edward Bruce · 2020 to 2026
$4.0M
Aging Mitochondrial InteractomeR01AG078279 · NIA · UNIVERSITY OF WASHINGTON · PI James Edward Bruce, David J. Marcinek · 2023 to 2026
$2.2M
NIA NIH HHS R01 AG078279NIGMS NIH HHS R35 GM136255
6 · The paper itself

Abstract

In living systems, protein function relies on many intra- and intermolecular interactions within a network called the interactome. The majority of available interactome data has been acquired with isolated proteins and complexes, but visualization of interactome changes in living systems is crucial to advance understanding of functional changes with diseases and for the development of improved therapies. With model animal systems, quantitative cross-linking mass spectrometry has been successfully applied to uniquely reveal interactome changes with mitochondrial dysfunction both in heart failure and with age-related muscle function decline. In this study, we investigated the feasibility of qualitative cross-linking mass spectrometry for mitochondrial interactome studies with clinically relevant human muscle biopsy samples and amounts. Analysis of biopsy samples from two volunteers resulted in the identification of 1350 nonredundant peptides from 177 mitochondrial proteins from all mitochondrial subcompartments. Many of the identified human biopsy cross-linked peptides were derived from protein complex and supercomplex assemblies that exhibited altered levels in model systems of heart failure and aging. The findings demonstrate the initial feasibility that these and other cross-linked species can be detected in human muscle biopsy samples to enable future studies of age- and disease-related changes in mitochondrial structure-function relationships.

Indexed as

Mass SpectrometryMitochondrial ProteinsAnimalsBiopsyCross-Linking ReagentsFeasibility StudiesHeart FailureHumansMuscle, SkeletalPeptidesCross-Linking ReagentsMitochondrial ProteinsPeptidescross-linkingdead-end peptideshuman muscle biopsyinteractomeintra/inter cross-linked peptidesmitochondriaOXPHOS complexessupercomplexXL-MS

Identifiers

PMID41529186
PMCPMC12834498

What Socratic 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 Socratic graph.