Evidence map›Paper›PMID 38302753›Full record

ArticleNature biotechnology2024

Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition.

Ulises H Guzman, Ana Martinez-Val, Zilu Ye, Eugen Damoc, Tabiwang N Arrey, Anna Pashkova, Santosh Renuse, Eduard Denisov, Johannes Petzoldt, Amelia C Peterson and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed
70.5field-weighted citation impact, top 1% of its field
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

174 citing papers in PubMed, 296 citations in OpenAlex.

  1. Preprocessing Large-Scale Proteomics Data.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Spatiotemporal Atlas of the Androgen Receptor Proximal Interactome.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Review
  12. Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.Angewandte Chemie (International ed. in English) · 2026
    Review
  13. Review
  14. Article
  15. Article
  16. Enrichment-free deep proteomics enables proteome-scale analysis of methionine oxidation.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  17. Article
  18. Article
  19. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
  20. Article

114 more citing papers are in PubMed but not listed here.

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

22 authors at 5 institutions in 4 countries.

Ulises H Guzman *Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1665-7659
Ana Martinez-Val *Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-8784-3822
Zilu Ye *Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8829-6579
Eugen DamocThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Tabiwang N ArreyThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Anna PashkovaThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Santosh RenuseThermo Fisher Scientific, San Jose, CA, USA.
Eduard DenisovThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Johannes PetzoldtThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Amelia C PetersonThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Florian HarkingNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Ole ØstergaardNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-3160-8548
Rasmus RydbirkCenter for Functional Genomics and Tissue Plasticity (ATLAS), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-4670-7533
Susana AznarCentre for Neuroscience and Stereology, Copenhagen University Hospital, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7940-6246
Hamish StewartThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Yue XuanThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.ORCID http://orcid.org/0000-0001-9132-2643
Daniel HermansonThermo Fisher Scientific, San Jose, CA, USA.
Stevan HorningThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Christian HockThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Alexander MakarovThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.ORCID http://orcid.org/0000-0002-7046-6709
Vlad ZabrouskovThermo Fisher Scientific, San Jose, CA, USA.
Jesper V OlsenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark. jesper.olsen@cpr.ku.dk.ORCID http://orcid.org/0000-0002-4747-4938
Thermo Fisher Scientific (Germany) · DEUniversity of Copenhagen · DKThermo Fisher Scientific (United States) · USCopenhagen University Hospital · DKUniversity of Southern Denmark · DK

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) EPIC-XS-823839EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) HighResCells-810057EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) MSmed-686547EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) PUSHH-861389Novo Nordisk Fonden (Novo Nordisk Foundation) NNF14CC0001Novo Nordisk Fonden (Novo Nordisk Foundation) NNF16CC0020906
6 · The paper itself

Abstract

Mass spectrometry (MS)-based proteomics aims to characterize comprehensive proteomes in a fast and reproducible manner. Here we present the narrow-window data-independent acquisition (nDIA) strategy consisting of high-resolution MS1 scans with parallel tandem MS (MS/MS) scans of ~200 Hz using 2-Th isolation windows, dissolving the differences between data-dependent and -independent methods. This is achieved by pairing a quadrupole Orbitrap mass spectrometer with the asymmetric track lossless (Astral) analyzer which provides >200-Hz MS/MS scanning speed, high resolving power and sensitivity, and low-ppm mass accuracy. The nDIA strategy enables profiling of >100 full yeast proteomes per day, or 48 human proteomes per day at the depth of ~10,000 human protein groups in half-an-hour or ~7,000 proteins in 5 min, representing 3× higher coverage compared with current state-of-the-art MS. Multi-shot acquisition of offline fractionated samples provides comprehensive coverage of human proteomes in ~3 h. High quantitative precision and accuracy are demonstrated in a three-species proteome mixture, quantifying 14,000+ protein groups in a single half-an-hour run.

Indexed as

ProteomeProteomicsTandem Mass SpectrometryHumansProteome

Identifiers

PMID38302753
PMCPMC11631760
OpenAlexW4391437651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.