Evidence map›Paper›PMID 34939082›Full record

ArticleGlycobiology2022

A graphical representation of glycan heterogeneity.

Xuyao Zeng, Milos V Novotny, David E Clemmer, Jonathan C Trinidad

Abstract read
In one paragraph

Article in Glycobiology, 2022. 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

4 authors.

Xuyao ZengDepartment of Chemistry, Indiana University Bloomington, 800 Kirkwood Avenue, Bloomington, IN 47405, USA.
Milos V NovotnyDepartment of Chemistry, Indiana University Bloomington, 800 Kirkwood Avenue, Bloomington, IN 47405, USA.
David E ClemmerDepartment of Chemistry, Indiana University Bloomington, 800 Kirkwood Avenue, Bloomington, IN 47405, USA.
Jonathan C TrinidadDepartment of Chemistry, Indiana University Bloomington, 800 Kirkwood Avenue, Bloomington, IN 47405, USA.ORCID 0000-0002-8279-1509

Funding

Fine-Mapping Genome-Wide Associated Loci using Multi-omics Data to Identify Mechanisms Affecting Serious Mental IllnessR01MH125235 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEVLIN, BERNIE, MACDONALD, MATTHEW L · 2021 to 2024
$3.0M
New Chromatographic Technologies for Resolving Carbohydrate IsomersR21GM118340 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI NOVOTNY, MILOS · 2015 to 2016
$581k
NIGMS NIH HHS R21 GM118340NIMH NIH HHS R01 MH125235
6 · The paper itself

Abstract

A substantial shortcoming of large-scale datasets is often the inability to easily represent and visualize key features. This problem becomes acute when considering the increasing technical ability to profile large numbers of glycopeptides and glycans in recent studies. Here, we describe a simple, concise graphical representation intended to capture the microheterogeneity associated with glycan modification at specific sites. We illustrate this method by showing visual representations of the glycans and glycopeptides from a variety of species. The graphical representation presented allows one to easily discern the compositions of all glycans, similarities and differences of modifications found in different samples and, in the case of N-linked glycans, the initial steps in the biosynthetic pathway.

Indexed as

ProteomicsTandem Mass SpectrometryGlycopeptidesGlycosylationPolysaccharidesGlycopeptidesPolysaccharidesglycomicsglycoproteomicsmass spectrometryN-glycosylationquantification

Identifiers

PMID34939082
PMCPMC8966470

What OpenQuestion holds

Textmetadata
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.