Evidence map›Paper›PMID 32424042›Full record

ReviewThe Journal of biological chemistry2020

Lipopolysaccharide O-antigens-bacterial glycans made to measure.

Chris Whitfield, Danielle M Williams, Steven D Kelly

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

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  12. Dysregulation of a nucleotidyltransferase induces division and surface glycan defects inProceedings of the National Academy of Sciences of the United States of America · 2026
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60 more citing papers are in PubMed but not listed here.

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

3 authors.

Chris WhitfieldDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada cwhitfie@uoguelph.ca.ORCID 0000-0002-5267-7027
Danielle M WilliamsDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Steven D KellyDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0003-1250-7055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipopolysaccharides are critical components of bacterial outer membranes. The more conserved lipid A part of the lipopolysaccharide molecule is a major element in the permeability barrier imposed by the outer membrane and offers a pathogen-associated molecular pattern recognized by innate immune systems. In contrast, the long-chain O-antigen polysaccharide (O-PS) shows remarkable structural diversity and fulfills a range of functions, depending on bacterial lifestyles. O-PS production is vital for the success of clinically important Gram-negative pathogens. The biological properties and functions of O-PSs are mostly independent of specific structures, but the size distribution of O-PS chains is particularly important in many contexts. Despite the vast O-PS chemical diversity, most are produced in bacterial cells by two assembly strategies, and the different mechanisms employed in these pathways to regulate chain-length distribution are emerging. Here, we review our current understanding of the mechanisms involved in regulating O-PS chain-length distribution and discuss their impact on microbial cell biology.

Indexed as

Gram-Negative BacteriaLipid AO AntigensLipid AO Antigensantigenic diversitybacterial pathogenesiscell surfaceglycan biosynthesisglycosyltransferaseGram-negative bacterialipopolysaccharide (LPS)O-antigenouter membranepolysaccharide

Identifiers

PMID32424042
PMCPMC7397119

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.