Evidence map›Paper›PMID 40207212›Full record

ArticleBBA advances2025

Current issues of tandem mass spectrum (MS2)-based glycoproteomics and efforts to complement them.

Hiroyuki Kaji

Abstract read
In one paragraph

Article in BBA advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Hiroyuki KajiInstitute for Glyco-core Research (iGCORE), Nagoya University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of liquid chromatography/mass spectrometers that support proteomics and the associated development of analytical methods and data analysis software, the number of proteins that can be identified and quantified in a single analysis is approaching the level of transcriptomics. However, many problems remain to be solved in protein glycosylation analysis. This mini-review discusses the technical issues of MS2-based glycoprotein identification and efforts to complement them by the Human Glycome Atlas (HGA) Project in Japan.

Indexed as

GlycoproteomicsGlycosylation-site mappingHuman Glycome Atlas Project (HGA)Liquid chromatography/mass spectrometry (LC/MS)Site-specific glycan composition

Identifiers

PMID40207212
PMCPMC11979480

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.