Evidence map›Paper›PMID 41233633›Full record

ReviewNature reviews. Microbiology2026

Assembly, architecture and functional roles of microbial surface layers.

Buse Isbilir, Andriko von Kügelgen, Vikram Alva, Tanmay A M Bharat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2026. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Buse IsbilirStructural Studies Division, MRC Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0001-8055-5994
Andriko von KügelgenStructural Studies Division, MRC Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0002-0017-2414
Vikram AlvaDepartment of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-1188-473X
Tanmay A M BharatStructural Studies Division, MRC Laboratory of Molecular Biology, Cambridge, UK. tbharat@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-0168-0277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many prokaryotic cells are encased in a para-crystalline sheath composed of lattice-forming proteins, collectively known as the surface layer (S-layer). S-layer proteins are among the most abundant proteins in archaea and bacteria. They exhibit remarkable sequence and structural diversity, while performing essential structural, protective and physiological functions. Recent advances in structural biology, cell biology and bioinformatics have reshaped our understanding of S-layer biogenesis and organization, while also revealing that S-layers are far more widespread among prokaryotes than previously envisaged. In addition, it has become increasingly clear that S-layers have crucial roles in microbial interactions and community dynamics. In this Review, we explore the architectural principles and self-assembly mechanisms that govern S-layers and examine their diverse functional roles in mediating interactions with the external environment of prokaryotes. We argue that deeper insights into these abundant surface structures are critical for understanding how they mediate multicellular interactions; a key step towards deciphering the organization of biofilms and microbiomes, which are fundamental modes of microbial life on Earth.

Indexed as

ArchaeaBacteriaMembrane GlycoproteinsBacterial ProteinsBiofilmsMicrobiotaBacterial ProteinsMembrane GlycoproteinsS-layer proteins

Identifiers

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.