Evidence map›Paper›PMID 42529905›Full record

ArticleRapid communications in mass spectrometry : RCM2026

Implementation of Nonisobaric TMT Analogs for Accurate Precursor-Level Quantification by plexDIA.

Ting-Yu Wei, Joao A Paulo

Abstract read
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Article in Rapid communications in mass spectrometry : RCM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ting-Yu WeiDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-4291-413X

Funding

Developing proteomics pipelines to improve depth, throughput, and accuracyR35GM156406 · NIGMS · HARVARD MEDICAL SCHOOL · PI Joao A Paulo · 2025 to 2026
$878k
NIGMS NIH HHS GM156406NIGMS NIH HHS R35 GM156406
6 · The paper itself

Abstract

rationaleMultiplexed quantitative proteomics enables simultaneous analysis of multiple biological samples, increasing throughput while reducing instrument time and sample requirements. However, integrating sample multiplexing with data-independent acquisition (DIA) remains challenging. We present a TMTpro plexDIA strategy leveraging MS1-level mass differences between nonisobaric TMTpro reagent variants to enable multiplexed quantification without compromising DIA sensitivity.

methodsThree Saccharomyces cerevisiae deletion strains (Δmet6, Δpfk2, and Δura2) were labeled with TMTproZero (light), TMTpro16 (standard), and super-heavy TMTpro (heavy), mixed in three permutations, and analyzed by narrow-window DIA (2 m/z isolation, 300 scan events) on an Orbitrap Astral mass spectrometer. Database searching was performed using FragPipe/MSFragger with plex-DIA quantification enabled.

resultsOver 2000 protein groups and over 20 000 precursors were identified per channel per mixture, with closely matched identification rates across all three channels. All nine expected deletion patterns were correctly identified, with channel-specific depletion reproduced consistently across precursor charge states (2+, 3+, and 4+).

conclusionsTMTpro plex-DIA enables accurate, multiplexed quantitative proteomics through MS1-level mass separation of the nonisobaric TMTpro isotopologs. The characteristic deletion patterns observed for each knockout strain serve as intrinsic molecular barcodes, validating sample identity and demonstrating the broad utility of plex-DIA for high-throughput, multiplexed proteomics applications.

Indexed as

Mass SpectrometryProteomicsSaccharomyces cerevisiae ProteinsProteomeSaccharomyces cerevisiaeTandem Mass SpectrometryProteomeSaccharomyces cerevisiae Proteinsnonisobaric multiplexingplexDIAquantitative proteomicsTKO standard

Identifiers

PMID42529905
PMCPMC13420209

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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.