Evidence map›Paper›PMID 36828896›Full record

ReviewNature reviews. Microbiology2023

Surveying membrane landscapes: a new look at the bacterial cell surface.

Trevor Lithgow, Christopher J Stubenrauch, Michael P H Stumpf

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
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  4. Review
  5. Article
  6. Review
  7. mBio · 2026
    Article
  8. Article
  9. Review
  10. mBio · 2026
    Article
  11. Review
  12. Article
  13. A fluorescent reporter and single-turnover kinetics reveal insight into BAM complex function.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
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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.

Trevor LithgowCentre to Impact AMR, Monash University, Clayton, Victoria, Australia. trevor.lithgow@monash.edu.ORCID 0000-0002-0102-7884
Christopher J StubenrauchCentre to Impact AMR, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-4388-3184
Michael P H StumpfSchool of BioSciences and School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies applying advanced imaging techniques are changing the way we understand bacterial cell surfaces, bringing new knowledge on everything from single-cell heterogeneity in bacterial populations to their drug sensitivity and mechanisms of antimicrobial resistance. In both Gram-positive and Gram-negative bacteria, the outermost surface of the bacterial cell is being imaged at nanoscale; as a result, topographical maps of bacterial cell surfaces can be constructed, revealing distinct zones and specific features that might uniquely identify each cell in a population. Functionally defined assembly precincts for protein insertion into the membrane have been mapped at nanoscale, and equivalent lipid-assembly precincts are suggested from discrete lipopolysaccharide patches. As we review here, particularly for Gram-negative bacteria, the applications of various modalities of nanoscale imaging are reawakening our curiosity about what is conceptually a 3D cell surface landscape: what it looks like, how it is made and how it provides resilience to respond to environmental impacts.

Indexed as

Anti-Bacterial AgentsGram-Negative BacteriaBacteriaCell MembraneGram-Positive BacteriaAnti-Bacterial Agents

Identifiers

What Socratic 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 Socratic graph.