Evidence map›Paper›PMID 41512968›Full record

ArticleMolecular & cellular proteomics : MCP2026

Development of Highly Multiplex Targeted Proteomics Assays in Biofluids Using a Nominal Mass Ion Trap Mass Spectrometer.

Deanna L Plubell, Philip M Remes, Christine C Wu, Cristina C Jacob, Gennifer E Merrihew, Chris Hsu, Nick Shulman, Brendan X MacLean, Lilian Heil, Kathleen L Poston and 2 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Deanna L PlubellDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA; Thermo Fisher Scientific, San Jose, California, USA.
Philip M RemesThermo Fisher Scientific, San Jose, California, USA.
Christine C WuDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Cristina C JacobThermo Fisher Scientific, San Jose, California, USA.
Gennifer E MerrihewDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Chris HsuDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Nick ShulmanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Brendan X MacLeanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Lilian HeilThermo Fisher Scientific, San Jose, California, USA.
Kathleen L PostonDepartment of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, USA.
Thomas J MontineDepartment of Pathology, Stanford University, Palo Alto, California, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA. Electronic address: maccoss@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of targeted assays that monitor biomedically relevant proteins is an important step in bridging discovery experiments to large scale clinical studies. Targeted assays are currently unable to scale to hundreds or thousands of targets. We demonstrate the generation of large-scale assays using a novel hybrid nominal mass instrument. The scale of these assays is achievable with the Stellar mass spectrometer through the accommodation of shifting retention times by real-time alignment, while being sensitive and fast enough to handle many concurrent targets. Assays were constructed using precursor information from gas-phase fractionation data-independent acquisition (DIA). We demonstrate the ability to schedule methods from orbitrap and linear ion trap acquired gas-phase fractionation DIA library, and compare the quantification of a matrix-matched calibration curve from orbitrap DIA and linear ion trap parallel reaction monitoring (PRM). Two applications of these proposed workflows are shown with a cerebrospinal fluid neurodegenerative disease protein PRM assay and with a Mag-Net enriched plasma extracellular vesicle protein survey PRM assay. In cerebrospinal fluid, our assay targets proteins discovered previously to be associated with Alzheimer's disease in a small independent sample set. For the Mag-Net enriched plasma survey assay, we observe that proteins selected based on their measurement robustness are still able to capture differences in abundance across disease groups in a small sample set. These highlight the application of highly multiplex, targeted protein assays in clinical research.

Indexed as

Mass SpectrometryProteomicsAlzheimer DiseaseHumanscerebrospinal fluidneurodegenerative diseaseplasmaquantitative analysistargeted proteomics

Identifiers

PMID41512968
PMCPMC12914430

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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.