Evidence map›Paper›PMID 40025722›Full record

ArticleJournal of proteome research2025

Affinity Purification Mass Spectrometry on the Orbitrap-Astral Mass Spectrometer Enables High-Throughput Protein-Protein Interaction Mapping.

Lia R Serrano, Adrian Pelin, Tabiwang N Arrey, Nicolaie E Damoc, Alicia L Richards, Yuan Zhou, Noah M Lancaster, Trenton M Peters-Clarke, Anna Pashkova, Gwendolyn M Jang and 11 more

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

21 authors.

Lia R SerranoDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0001-5662-5884
Adrian PelinJ. David Gladstone Institutes, San Francisco, California 94158, United States.
Tabiwang N ArreyThermo Fisher Scientific GmbH, Bremen 28199, Germany.
Nicolaie E DamocThermo Fisher Scientific GmbH, Bremen 28199, Germany.
Alicia L RichardsJ. David Gladstone Institutes, San Francisco, California 94158, United States.ORCID 0000-0002-4869-2945
Yuan ZhouJ. David Gladstone Institutes, San Francisco, California 94158, United States.
Noah M LancasterDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0009-0002-3609-7951
Trenton M Peters-ClarkeDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-9153-2525
Anna PashkovaThermo Fisher Scientific GmbH, Bremen 28199, Germany.
Gwendolyn M JangJ. David Gladstone Institutes, San Francisco, California 94158, United States.
Manon EckhardtJ. David Gladstone Institutes, San Francisco, California 94158, United States.
Scott T QuarmbyDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-2991-5637
Martin ZellerThermo Fisher Scientific GmbH, Bremen 28199, Germany.
Daniel HermansonThermo Fisher Scientific, San Jose, California 95134, United States.
Hamish StewartThermo Fisher Scientific GmbH, Bremen 28199, Germany.ORCID 0009-0000-1510-4353
Christian HockThermo Fisher Scientific GmbH, Bremen 28199, Germany.
Alexander MakarovThermo Fisher Scientific GmbH, Bremen 28199, Germany.ORCID 0000-0002-7046-6709
Vlad ZabrouskovThermo Fisher Scientific, San Jose, California 95134, United States.ORCID 0000-0003-3567-9407
Nevan J KroganJ. David Gladstone Institutes, San Francisco, California 94158, United States.
Joshua J CoonDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-0004-8253
Danielle L SwaneyJ. David Gladstone Institutes, San Francisco, California 94158, United States.ORCID 0000-0001-6119-6084

Funding

RESEARCH PROJECT 2U19AI135990 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Melanie Maria Ott · 2018 to 2026
$21.4M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Structure, Function and Regulation of the ProteomeR35GM118110 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$9.1M
A universal multiplexing approach to unlock the hidden proteomeR01GM133981 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SWANEY, DANIELLE L · 2019 to 2022
$1.3M
NHGRI NIH HHS T32 HG002760NIAID NIH HHS U19 AI135990NIGMS NIH HHS P41 GM108538NIGMS NIH HHS R01 GM133981NIGMS NIH HHS R35 GM118110
6 · The paper itself

Abstract

Classical proteomics experiments offer high-throughput protein quantification but lack direct evidence of the spatial organization of the proteome, including protein-protein interaction (PPIs) networks. While affinity purification mass spectrometry (AP-MS) is the method of choice for generating these networks, technological impediments have stymied the throughput of AP-MS sample collection and therefore constrained the rate and scale of experiments that can be performed. Here, we build on advances in mass spectrometry hardware that have rendered high-flow liquid chromatography separations a viable solution for faster throughput quantitative proteomics. We describe our methodology using the Orbitrap-Astral mass spectrometer with 7 min, high-flow separations to analyze 216 AP-MS samples in ∼29 h. We show that the ion-focusing advancements, rapid mass analysis, and sensitive ion detection facilitate narrow-bin data-independent acquisition on a chromatographically practical timescale. Further, we highlight several aspects of state-of-the-art confidence-scoring software that warrant reinvestigation given the analytical characteristics of the Orbitrap-Astral mass spectrometer through comparisons with an enrichment-based thresholding technique. With our data, we generated an interaction map between 998 human proteins and 59 viral proteins. These results hold promise in expediting the throughput of AP-MS experiments, enabling more high-powered PPI studies.

Indexed as

Chromatography, AffinityMass SpectrometryProtein Interaction MappingProteomicsHigh-Throughput Screening AssaysHumansSoftwareAP-MSAstralhost–pathogenPPIs

Identifiers

PMID40025722
PMCPMC11976844

What Socratic holds

Textmetadata
LicenceTDM
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.