Evidence map›Paper›PMID 42135487›Full record

ReviewNature methods2026

Recommendations and considerations for hydroxyl radical protein footprinting-mass spectrometry.

Aaron T Wecksler, Lingfei Wang, Lisa J Bernstein, Richard Y-C Huang, Sayan Gupta, Line G Kristensen, Corie Y Ralston, Frank Sobott, Yan Sun, Michael Brenowitz and 8 more

Abstract readReview
In one paragraph

Review in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Aaron T WeckslerAnalytical Development & Quality Control, Genentech, South San Francisco, CA, USA. wecksler.aaron@gene.com.ORCID http://orcid.org/0000-0002-6050-0926
Lingfei WangAnalytical Development & Quality Control, Genentech, South San Francisco, CA, USA.
Lisa J BernsteinNonclincial Biostatistics, Genentech, South San Francisco, CA, USA.ORCID http://orcid.org/0009-0005-1438-4804
Richard Y-C HuangBiologics Discovery, Johnson & Johnson Innovative Medicine, Spring House, PA, USA.ORCID http://orcid.org/0000-0002-7172-110X
Sayan GuptaMolecule Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-4752-068X
Line G KristensenMolecule Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-7819-2861
Corie Y RalstonMolecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-7899-0951
Frank SobottSchool of Molecular and Cellular Biology and Astbury Centre, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-9029-1865
Yan SunDepartment of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0000-0002-5747-3306
Michael BrenowitzDepartment of Biochemistry and Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA.
Erik R FarquharDepartment of Nutrition and Center for Synchrotron Biosciences, Case Western Reserve University, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-6419-038X
Mark R ChanceDepartment of Nutrition and Center for Synchrotron Biosciences, Case Western Reserve University, Cleveland, OH, USA.
Xinyi Cynthia KuangDepartment of Chemistry, Washington University in St Louis, St Louis, MO, USA.
Michael L GrossDepartment of Chemistry, Washington University in St Louis, St Louis, MO, USA.ORCID http://orcid.org/0000-0003-1159-4636
Lisa M JonesDepartment of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, USA.
Petr NovakInstitute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic.ORCID http://orcid.org/0000-0001-8688-529X
Sandeep K MisraDepartment of BioMolecular Sciences, University of Mississippi, Oxford, MS, USA.ORCID http://orcid.org/0000-0001-9165-3987
Joshua S SharpDepartment of BioMolecular Sciences, University of Mississippi, Oxford, MS, USA. jsharp@olemiss.edu.ORCID http://orcid.org/0000-0002-0115-0276

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SOPHIE MOLHOLM, Steven Upshaw Walkley · 2021 to 2026
$7.0M
Molecular Structure Determination by Mass Spectrometry and Computational ModelingR01GM127267 · NIGMS · UNIVERSITY OF MISSISSIPPI · PI Joshua S Sharp · 2018 to 2026
$3.8M
NEW CHEMICAL PROBES ENABLE MASS SPECTROMETRY-BASED FOOTPRINTING OF HUMAN PROTEIN STRUCTURE IN LIPID MEMBRANES AND CELLSR01GM131008 · NIGMS · WASHINGTON UNIVERSITY · PI MICHAEL L GROSS, Weikai Li · 2019 to 2026
$3.8M
Development of high-dose time-resolved x-ray footprinting technologies to enable the next level of structural analysis for challenging biological problemsR01GM126218 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI RALSTON, CORIE Y · 2018 to 2025
$3.4M
Protein Footprinting Coupled to Mass Spectrometry for the Study of Protein Higher Order Structure in Complex Model SystemsR35GM144324 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Lisa M Jones · 2022 to 2026
$3.0M
Mass Spectrometry-Based Protein Footprinting: A New Tool for Amyloid Protein AggregationR01AG079283 · NIA · WASHINGTON UNIVERSITY · PI MICHAEL L GROSS · 2024 to 2026
$2.2M
NIA NIH HHS R01 AG079283NICHD NIH HHS P50 HD105352NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R01 GM126218NIGMS NIH HHS R01 GM127267NIGMS NIH HHS R01 GM131008NIGMS NIH HHS R35 GM144324
6 · The paper itself

Abstract

Protein oxidative footprinting, using hydroxyl radical labeling detected by bottom-up proteomics, has progressed from an emerging method to a widely used approach in structural biology. Hydroxyl radicals generated from hydrogen peroxide (via photolysis, Fenton chemistry or electrochemistry) or directly from water (via X-rays, plasma or gamma rays) irreversibly encode structural information within protein side chains, which is read out using standard liquid chromatography-mass spectrometry workflows. Quantitative changes in labeling report on solvent accessibility and reveal effects of protein-protein interactions, ligand binding, protein folding, conformational changes or applied stress. Comparing labeling patterns between states provides detailed maps of structural changes and interaction sites. Over the past decade, oxidative footprinting has proven valuable as a solution-phase and in-cell method for protein structure analysis. This Perspective summarizes best practices for experimental design, sample processing, data analysis, interpretation and integration with orthogonal data, offering a consensus framework to guide application of oxidative footprinting in academic and biopharmaceutical research.

Indexed as

Hydroxyl RadicalMass SpectrometryProtein FootprintingProteinsOxidation-ReductionProteomicsHydroxyl RadicalProteins

Identifiers

PMID42135487
PMCPMC13255109

What OpenQuestion 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 OpenQuestion graph.