Evidence map›Paper›PMID 34201063›Full record

ArticleMicroorganisms2021

What Do We See in Spectra?: Assignment of High-Intensity Peaks of

Itaru Dekio, Yuki Sugiura, Susumu Hamada-Tsutsumi, Yoshiyuki Murakami, Hiroto Tamura, Makoto Suematsu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Rapid Screening of Methicillin-ResistantAnalytical chemistry · 2025
    Trial
  2. The Role ofInternational journal of molecular sciences · 2025
    Review
  3. 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

6 authors at 2 institutions in 1 country.

Itaru DekioDepartment of Biochemistry & Integrative Medical Biology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.ORCID 0000-0001-9428-0098
Yuki SugiuraDepartment of Biochemistry & Integrative Medical Biology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Susumu Hamada-TsutsumiDepartment of Environmental Bioscience, Meijo University, 1-501 Shiogamaguchi, Tenpaku-ku, Nagoya, Aichi 468-8502, Japan.
Yoshiyuki MurakamiSeikakai Mildix Skin Clinic, 3rd Floor, 3-98 Senju, Adachi-ku, Tokyo 120-0034, Japan.
Hiroto TamuraDepartment of Environmental Bioscience, Meijo University, 1-501 Shiogamaguchi, Tenpaku-ku, Nagoya, Aichi 468-8502, Japan.
Makoto SuematsuDepartment of Biochemistry & Integrative Medical Biology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Keio University · JPMeijo University · JP

Funding

Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research (A) 20H00415
6 · The paper itself

Abstract

Matrix-assisted laser-desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry is a widely used and reliable technology to identify microbial species and subspecies. The current methodology is based on spectral fingerprinting, analyzing protein peaks, most of which are yet to be characterized. In order to deepen the understanding of these peaks and to develop a more reasonable identification workflow, we applied proteogenomic approaches to assign the high-intensity peaks of MALDI-TOF spectra of two bacterial genera. First, the 3-22 kD proteomes of 5

Indexed as

Cutibacteriumhigh-intensity peaksMALDI–TOF mass spectrometryproteomicsS10-GERMSStaphylococcus

Identifiers

PMID34201063
PMCPMC8227259
OpenAlexW3170517120

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.