Evidence map›Paper›PMID 37683181›Full record

ArticleJournal of proteome research2023

Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition.

Lilian R Heil, Eugen Damoc, Tabiwang N Arrey, Anna Pashkova, Eduard Denisov, Johannes Petzoldt, Amelia C Peterson, Chris Hsu, Brian C Searle, Nicholas Shulman and 12 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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

114 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. A proteome-wide dependency map of protein interaction motifs.Nature structural & molecular biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Lilian R HeilDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.ORCID 0000-0002-9462-7327
Eugen DamocThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Tabiwang N ArreyThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Anna PashkovaThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Eduard DenisovThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Johannes PetzoldtThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Amelia C PetersonThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Chris HsuDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
Brian C SearlePelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States.
Nicholas ShulmanDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
Michael RiffleDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.ORCID 0000-0003-1633-8607
Brian ConnollyDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
Brendan X MacLeanDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
Philip M RemesThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Michael W SenkoThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Hamish I StewartThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.ORCID 0009-0000-1510-4353
Christian HockThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
Alexander A MakarovThermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.ORCID 0000-0002-7046-6709
Daniel HermansonThermo 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.ORCID 0000-0003-3567-9407
Christine C WuDepartment of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, 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 Michael MacCoss · 1995 to 2026
$27.1M
Project 4: Novel reagent development to enable molecular characterizationU19AG065156 · NIA · UNIVERSITY OF WASHINGTON · PI MONTINE, THOMAS J · 2020 to 2024
$15.9M
Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
NIA NIH HHS P30 AG013280NIA NIH HHS U19 AG065156NIGMS NIH HHS R24 GM141156
6 · The paper itself

Abstract

We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data-independent acquisition, the Thermo Scientific Orbitrap Astral mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific Orbitrap mass spectrometers, which have long been the gold standard for high-resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high-quality quantitative measurements across a wide dynamic range. We also use a newly developed extracellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5000 plasma proteins in a 60 min gradient with the Orbitrap Astral mass spectrometer.

Indexed as

PeptidesProteomicsBlood ProteinsMass SpectrometryProteomeBlood ProteinsPeptidesProteomedata-independent acquisitionhigh-resolution mass spectrometryplasmaquantitative proteomics

Identifiers

PMID37683181
PMCPMC10563156

What OpenQuestion holds

Textmetadata
LicenceTDM
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.