Evidence map›Paper›PMID 42282639›Full record

ArticlebioRxiv : the preprint server for biology2026

Revisiting resonance-excitation collision-induced dissociation for data-independent acquisition.

Chris Hsu, Lilian R Heil, Bo Wen, Graeme McAlister, Gennifer Merrihew, Philip M Remes, Deanna L Plubell, Rafael Melani, Vlad Zabrouskov, Michael J MacCoss

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Chris HsuDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington, 98195, United States.
Lilian R HeilThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Bo WenDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington, 98195, United States.ORCID 0000-0003-2261-3150
Graeme McAlisterThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Gennifer MerrihewDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington, 98195, United States.ORCID 0000-0003-4903-0318
Philip M RemesThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Deanna L PlubellThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Rafael MelaniThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Vlad ZabrouskovThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Michael J MacCossDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington, 98195, United States.ORCID 0000-0003-1853-0256

Funding

University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Maitreya J Dunham · 1995 to 2026
$27.1M
Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
Biological Mechanisms of Healthy Aging Training GrantT32AG066574 · NIA · UNIVERSITY OF WASHINGTON · PI David J. Marcinek, Jessica E Young · 2020 to 2026
$5.3M
Quantifying proteins in plasma do democratize personalized medicine for patients with type 1 diabetesU01DK137097 · NIDDK · UNIVERSITY OF WASHINGTON · PI ANDREW N HOOFNAGLE, Michael MacCoss · 2023 to 2026
$3.4M
NIA NIH HHS P30 AG013280NIA NIH HHS T32 AG066574NIDDK NIH HHS U01 DK137097NIGMS NIH HHS R24 GM141156
6 · The paper itself

Abstract

Data-independent acquisition (DIA) proteomics relies almost exclusively on beam-type collision-induced dissociation (HCD) because its short activation time supports fast acquisition rates required for DIA. However, HCD requires charge state calibration and is therefore imperfect for mixed-charge DIA isolation windows. Resonance-excitation collision-induced dissociation (reCID) offers a promising alternative to HCD for DIA because the ion activation is effectively independent of charge state. Historically, reCID's longer activation time has been considered too slow for DIA. Here, we revisit reCID for DIA proteomics using a modified Orbitrap Tribrid Apex MultiOmics mass spectrometer (Apex) that recovers acquisition-matrix overhead as additional ion injection time, enabling reCID acquisition rates comparable to HCD. Using matched acquisition rate settings of tryptic HeLa digests, reCID achieved precursor and protein detections similar to HCD when used with Carafe fine-tuned, fragmentation-matched spectral libraries. Library fine-tuning improved reCID precursor detections more than HCD detections, 24% versus 5%, indicating that HCD-trained prediction models are suboptimal for reCID spectra. ReCID also maintained peptide-level quantitative performance, including ions measured per peptide, precision, and accuracy. Across seven NCI cancer cell lines and pooled mixtures, protein abundance rankings were highly conserved between the Apex reCID and HCD methods, and also across Orbitrap Astral Zoom platforms. These results support reCID as a practical fragmentation mode for DIA proteomics.

Identifiers

PMID42282639
PMCPMC13251944

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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.