Evidence map›Paper›PMID 35522919›Full record

ArticleJournal of proteome research2022

Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry.

Yusuke Kawashima, Hirotaka Nagai, Ryo Konno, Masaki Ishikawa, Daisuke Nakajima, Hironori Sato, Ren Nakamura, Tomoyuki Furuyashiki, Osamu Ohara

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
12.7field-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

74 citing papers in PubMed, 124 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. 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
  6. Article
  7. Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Repurposing of Chemokine Antagonists for Combined Phase-Resolved Spinal Cord Injury Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Article

14 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

9 authors at 2 institutions in 1 country.

Yusuke KawashimaDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0002-9779-8199
Hirotaka NagaiDivision of Pharmacology, Graduate School of Medicine, Kobe University, Chuo-ku, Kobe 650-0017, Japan.
Ryo KonnoDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Masaki IshikawaDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0002-3101-6713
Daisuke NakajimaDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0003-3310-3762
Hironori SatoDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0003-3217-3742
Ren NakamuraDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Tomoyuki FuruyashikiDivision of Pharmacology, Graduate School of Medicine, Kobe University, Chuo-ku, Kobe 650-0017, Japan.
Osamu OharaDepartment of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0002-3328-9571
Kazusa DNA Research Institute · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of mass spectrometry (MS) and analytical techniques has led to the demand for proteome analysis with high proteome coverage in single-shot measurements. Focus has been placed on data-independent acquisition (DIA)-MS and ion mobility spectrometry as techniques for deep proteome analysis. We aimed to expand the proteome coverage by single-shot measurements using optimizing high-field asymmetric waveform ion mobility spectrometry parameters in DIA-MS. With our established proteome analysis system, more than 10,000 protein groups were identified from HEK293 cell digests within 120 min of MS measurement time. Additionally, we applied our approach to the analysis of host proteins in mouse feces and detected as many as 892 host protein groups (771 upregulated/121 downregulated proteins) in a mouse model of repeated social defeat stress (R-SDS) used in studying depression. Interestingly, 285 proteins elevated by R-SDS were related to mental disorders. The fecal host protein profiling by deep proteome analysis may help us understand mental illness pathologies noninvasively. Thus, our approach will be helpful for an in-depth comparison of protein expression levels for biological and medical research because it enables the analysis of highly proteome coverage in a single-shot measurement.

Indexed as

Ion Mobility SpectrometryProteomeProteomicsAnimalsFecesHEK293 CellsHumansMass SpectrometryMiceProteomedepressionDIA-MSFAIMSfecessingle-shot proteomics

Identifiers

PMID35522919
PMCPMC9171847
OpenAlexW4229334913

What OpenQuestion holds

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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.