Evidence map›Paper›PMID 38225219›Full record

ArticleJournal of proteome research2024

timsTOF HT Improves Protein Identification and Quantitative Reproducibility for Deep Unbiased Plasma Protein Biomarker Discovery.

Dijana Vitko, Wan-Fang Chou, Sara Nouri Golmaei, Joon-Yong Lee, Chinmay Belthangady, John Blume, Jessica K Chan, Guillermo Flores-Campuzano, Yuntao Hu, Manway Liu and 8 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  8. Carafe2 enables high qualitybioRxiv : the preprint server for biology · 2026
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  13. Review
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  20. Thin-diaPASEF: diaPASEF for maximizing proteome coverage in single-shot proteomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    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.

Dijana VitkoPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Wan-Fang ChouPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Sara Nouri GolmaeiPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Joon-Yong LeePrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Chinmay BelthangadyPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
John BlumePrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Jessica K ChanPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Guillermo Flores-CampuzanoPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Yuntao HuPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Manway LiuPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Mark A MarispiniPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Megan G MoraPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Saividya RamaswamyPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Purva RanjanPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Preston B WilliamsPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Robert J X ZawadaPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Philip MaPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.
Bruce E WilcoxPrognomiQ Inc., 1900 Alameda de las Pulgas, San Mateo, California 94403, United States.ORCID 0009-0006-8913-2588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS) is a valuable tool for plasma proteome profiling and disease biomarker discovery. However, wide-ranging plasma protein concentrations, along with technical and biological variabilities, present significant challenges for deep and reproducible protein quantitation. Here, we evaluated the qualitative and quantitative performance of timsTOF HT and timsTOF Pro 2 mass spectrometers for analysis of neat plasma samples (unfractionated) and plasma samples processed using the Proteograph Product Suite (Proteograph) that enables robust deep proteomics sampling prior to mass spectrometry. Samples were evaluated across a wide range of peptide loading masses and liquid chromatography (LC) gradients. We observed up to a 76% increase in total plasma peptide precursors identified and a >2-fold boost in quantifiable plasma peptide precursors (CV < 20%) with timsTOF HT compared to Pro 2. Additionally, approximately 4.5 fold more plasma peptide precursors were detected by both timsTOF HT and timsTOF Pro 2 in the Proteograph analyzed plasma vs neat plasma. In an exploratory analysis of 20 late-stage lung cancer and 20 control plasma samples with the Proteograph, which were expected to exhibit distinct proteomes, an approximate 50% increase in total and statistically significant plasma peptide precursors (

Indexed as

Blood ProteinsProteomeBiomarkersHumansPeptidesReproducibility of ResultsBiomarkersBlood ProteinsPeptidesProteomebiomarkersliquid chromatographymass spectrometryplasmaProteographproteomicstimsTOF

Identifiers

PMID38225219
PMCPMC10913052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.