Evidence map›Paper›PMID 38049850›Full record

ArticleGenome biology2023

A large-scale genomically predicted protein mass database enables rapid and broad-spectrum identification of bacterial and archaeal isolates by mass spectrometry.

Yuji Sekiguchi, Kanae Teramoto, Dieter M Tourlousse, Akiko Ohashi, Mayu Hamajima, Daisuke Miura, Yoshihiro Yamada, Shinichi Iwamoto, Koichi Tanaka

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Comparative analytical performance of Autof MS2600 and Biotyper Sirius for rapid MALDI-TOF MS identification of microorganisms from positive blood cultures.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Article
  3. Prediction of KPC-producingJournal of clinical microbiology · 2026
    Article
  4. Article
  5. Isolation and identification ofFrontiers in cellular and infection microbiology · 2026
    Article
  6. Article
  7. Automated identification ofJournal of clinical microbiology · 2025
    Article
  8. Optimizing MALDI-TOF Mass Spectrometry for the Identification ofInternational journal of molecular sciences · 2025
    Article
  9. Identification ofMicrobiology spectrum · 2025
    Article
  10. Article
  11. MALDI O-antigen glycotyping ofBBA advances · 2025
    Article
  12. 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

9 authors at 2 institutions in 1 country.

Yuji SekiguchiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Ibaraki, 305-8566, Japan. y.sekiguchi@aist.go.jp.ORCID 0000-0002-1264-0617
Kanae TeramotoMS Business Unit, Shimadzu Corporation, Kyoto, Japan.
Dieter M TourlousseBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Ibaraki, 305-8566, Japan.
Akiko OhashiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Ibaraki, 305-8566, Japan.
Mayu HamajimaBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Ibaraki, 305-8566, Japan.
Daisuke MiuraBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Ibaraki, 305-8566, Japan.
Yoshihiro YamadaKoichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
Shinichi IwamotoKoichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
Koichi TanakaKoichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
National Institute of Advanced Industrial Science and Technology · JPShimadzu (Japan) · JP

Funding

Japan Agency for Medical Research and Development JP ae0121035h0002
6 · The paper itself

Abstract

MALDI-TOF MS-based microbial identification relies on reference spectral libraries, which limits the screening of diverse isolates, including uncultured lineages. We present a new strategy for broad-spectrum identification of bacterial and archaeal isolates by MALDI-TOF MS using a large-scale database of protein masses predicted from nearly 200,000 publicly available genomes. We verify the ability of the database to identify microorganisms at the species level and below, achieving correct identification for > 90% of measured spectra. We further demonstrate its utility by identifying uncultured strains from mouse feces with metagenomics, allowing the identification of new strains by customizing the database with metagenome-assembled genomes.

Indexed as

ArchaeaBacteriaAnimalsDatabases, FactualMiceSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationArchaeal genomesBacterial genomesCulturomicsMALDI-TOF MSMicrobial identificationProtein mass databaseUncultured microbes

Identifiers

PMID38049850
PMCPMC10696839
OpenAlexW4389323164

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.