Evidence map›Paper›PMID 24024634›Full record

ReviewAnnual review of microbiology2013

Wall teichoic acids of gram-positive bacteria.

Stephanie Brown, John P Santa Maria, Suzanne Walker

Abstract readReview
In one paragraph

Review in Annual review of microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 496 papers.

0numbers the graph read from it
0cells of the map it votes in
496citing papers in PubMed
29.5field-weighted citation impact, top 1% 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

496 citing papers in PubMed, 932 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  9. mBio · 2026
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  13. Host-driven remodelling of theMicrobiology (Reading, England) · 2026
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  18. bioRxiv : the preprint server for biology · 2026
    Article
  19. How Bioactive Glass S53P4 Kills Bacteria.Journal of functional biomaterials · 2026
    Article
  20. Article

436 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 at 1 institution in 1 country.

Stephanie BrownDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts 02115; email: suzanne_walker@hms.harvard.edu.
John P Santa Maria
Suzanne Walker
Harvard University · US

Funding

Technical Mother Machine CoreP01AI083214 · NIAID · SCHEPENS EYE RESEARCH INSTITUTE · PI Michael S Gilmore · 2009 to 2026
$39.4M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Identifying and validating new antibiotic targets in cell wall synthesis pathwaysR01AI099144 · NIAID · HARVARD MEDICAL SCHOOL · PI BERNHARDT, THOMAS G, WALKER, SUZANNE · 2012 to 2016
$4.3M
NIAID NIH HHS P01 AI083214NIAID NIH HHS R01 AI099144NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

The peptidoglycan layers of many gram-positive bacteria are densely functionalized with anionic glycopolymers known as wall teichoic acids (WTAs). These polymers play crucial roles in cell shape determination, regulation of cell division, and other fundamental aspects of gram-positive bacterial physiology. Additionally, WTAs are important in pathogenesis and play key roles in antibiotic resistance. We provide an overview of WTA structure and biosynthesis, review recent studies on the biological roles of these polymers, and highlight remaining questions. We also discuss prospects for exploiting WTA biosynthesis as a target for new therapies to overcome resistant infections.

Indexed as

AnimalsAnti-Bacterial AgentsCell WallGram-Positive BacteriaGram-Positive Bacterial InfectionsHumansTeichoic AcidsAnti-Bacterial AgentsTeichoic Acids

Identifiers

PMID24024634
PMCPMC3883102
OpenAlexW2096221995

What OpenQuestion holds

Textmetadata
LicenceTDM
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.