Evidence map›Paper›PMID 36361885›Full record

ArticleInternational journal of molecular sciences2022

Toolbox Accelerating Glycomics (TAG): Improving Large-Scale Serum Glycomics and Refinement to Identify SALSA-Modified and Rare Glycans.

Nobuaki Miura, Hisatoshi Hanamatsu, Ikuko Yokota, Keiko Akasaka-Manya, Hiroshi Manya, Tamao Endo, Yasuro Shinohara, Jun-Ichi Furukawa

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Progress of the "Molecular Informatics" Section in 2022.International journal of molecular sciences · 2023
    Article
  2. Review
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

8 authors at 5 institutions in 1 country.

Nobuaki MiuraDivision of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 2-5274 Gakkocho-dori, Niigata 951-8514, Japan.ORCID 0000-0001-8891-9190
Hisatoshi HanamatsuDepartment of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Kita 21, Nishi 11, Sapporo 001-0021, Japan.
Ikuko YokotaDivision of Glyco-Systems Biology, Institute for Glyco-Core Research, Tokai National Higher Education and Research System, 65 Tsurumai-cho, Nagoya 466-8550, Japan.
Keiko Akasaka-ManyaMolecular Glycobiology, Research Team for Mechanism of Aging, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, 35-2 Sakaecho, Tokyo 173-0015, Japan.
Hiroshi ManyaMolecular Glycobiology, Research Team for Mechanism of Aging, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, 35-2 Sakaecho, Tokyo 173-0015, Japan.
Tamao EndoMolecular Glycobiology, Research Team for Mechanism of Aging, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, 35-2 Sakaecho, Tokyo 173-0015, Japan.
Yasuro ShinoharaGraduate School of Pharmaceutical Sciences, Kinjo Gakuin University, Nagoya 463-8521, Japan.
Jun-Ichi FurukawaDepartment of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Kita 21, Nishi 11, Sapporo 001-0021, Japan.
Tokyo Metropolitan Geriatric Hospital · JPHokkaido University · JPKinjo Gakuin University · JPNiigata University · JPSystems Biology Institute · JP

Funding

Japan Society for the Promotion of Science 18H02565Japan Society for the Promotion of Science 21K12124Japan Society for the Promotion of Science 22H03502
6 · The paper itself

Abstract

Glycans are involved in many fundamental cellular processes such as growth, differentiation, and morphogenesis. However, their broad structural diversity makes analysis difficult. Glycomics via mass spectrometry has focused on the composition of glycans, but informatics analysis has not kept pace with the development of instrumentation and measurement techniques. We developed Toolbox Accelerating Glycomics (TAG), in which glycans can be added manually to the glycan list that can be freely designed with labels and sialic acid modifications, and fast processing is possible. In the present work, we improved TAG for large-scale analysis such as cohort analysis of serum samples. The sialic acid linkage-specific alkylamidation (SALSA) method converts differences in linkages such as α2,3- and α2,6-linkages of sialic acids into differences in mass. Glycans modified by SALSA and several structures discovered in recent years were added to the glycan list. A routine to generate calibration curves has been implemented to explore quantitation. These improvements are based on redefinitions of residues and glycans in the TAG List to incorporate information on glycans that could not be attributed because it was not assumed in the previous version of TAG. These functions were verified through analysis of purchased sera and 74 spectra with linearity at the level of R2 > 0.8 with 81 estimated glycan structures obtained including some candidate of rare glycans such as those with the N,N’-diacetyllactosediamine structure, suggesting they can be applied to large-scale analyses.

Indexed as

GlycomicsN-Acetylneuraminic AcidHumansMass SpectrometryPolysaccharidesSialic AcidsN-Acetylneuraminic AcidPolysaccharidesSialic Acidscalibration curvecohortglycomicslarge-scale analysisMALDI-TOF-MSsemiautomatic analysisserum

Identifiers

PMID36361885
PMCPMC9656093
OpenAlexW4307946532

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.