Evidence map›Paper›PMID 33860782›Full record

ReviewBiochemical Society transactions2021

Chemical reporters to study mammalian O-glycosylation.

Kathryn E Huxley, Lianne I Willems

Open access · hybridAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 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
0.6field-weighted citation impact, top 34% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Recombinant mucin biotechnology and engineering.Advanced drug delivery reviews · 2023
    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

2 authors at 1 institution in 1 country.

Kathryn E HuxleyYork Structural Biology Laboratory, Department of Chemistry, The University of York, York YO10 5DD, U.K.
Lianne I WillemsYork Structural Biology Laboratory, Department of Chemistry, The University of York, York YO10 5DD, U.K.
University of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycans play essential roles in a range of cellular processes and have been shown to contribute to various pathologies. The diversity and dynamic nature of glycan structures and the complexities of glycan biosynthetic pathways make it challenging to study the roles of specific glycans in normal cellular function and disease. Chemical reporters have emerged as powerful tools to characterise glycan structures and monitor dynamic changes in glycan levels in a native context. A variety of tags can be introduced onto specific monosaccharides via the chemical modification of endogenous glycan structures or by metabolic or enzymatic incorporation of unnatural monosaccharides into cellular glycans. These chemical reporter strategies offer unique opportunities to study and manipulate glycan functions in living cells or whole organisms. In this review, we discuss recent advances in metabolic oligosaccharide engineering and chemoenzymatic glycan labelling, focusing on their application to the study of mammalian O-linked glycans. We describe current barriers to achieving glycan labelling specificity and highlight innovations that have started to pave the way to overcome these challenges.

Indexed as

AnimalsGlycomicsGlycoproteinsGlycosylationGlycosyltransferasesHumansMammalsMetabolic EngineeringModels, ChemicalMolecular ProbesMolecular StructureOligosaccharidesPolysaccharidesProteomicsStaining and LabelingGlycoproteinsGlycosyltransferasesMolecular ProbesOligosaccharidesPolysaccharideschemical biologychemical reporterchemoenzymatic labellingglycobiologyglycosylationmetabolic engineering

Identifiers

PMID33860782
PMCPMC8106504
OpenAlexW3154140340

What Socratic 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 Socratic graph.