Evidence map›Paper›PMID 26468288›Full record

ArticleThe Journal of biological chemistry2015

High-throughput, Highly Sensitive Analyses of Bacterial Morphogenesis Using Ultra Performance Liquid Chromatography.

Samantha M Desmarais, Carolina Tropini, Amanda Miguel, Felipe Cava, Russell D Monds, Miguel A de Pedro, Kerwyn Casey Huang

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.Frontiers in cellular and infection microbiology · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Lytic transglycosylases: concinnity in concision of the bacterial cell wall.Critical reviews in biochemistry and molecular biology · 2017
    Review
  18. Article
  19. Towards an automated analysis of bacterial peptidoglycan structure.Analytical and bioanalytical chemistry · 2017
    Article
  20. Article
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

7 authors at 3 institutions in 3 countries.

Samantha M DesmaraisFrom the Departments of Bioengineering and.
Carolina TropiniFrom the Departments of Bioengineering and the Biophysics Program, Stanford University, Stanford, California 94305.
Amanda MiguelFrom the Departments of Bioengineering and.
Felipe Cavathe Department of Molecular Biology and Laboratory for Molecular Infection Medicine Sweden, Umeå Centre for Microbial Research, Umeå University, Umeå, 90187 Sweden.
Russell D MondsFrom the Departments of Bioengineering and the Bio-X Program, Stanford University, Stanford, California 94305, and.
Miguel A de Pedrothe Universidad Autonoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain.
Kerwyn Casey HuangFrom the Departments of Bioengineering and the Biophysics Program, Stanford University, Stanford, California 94305, the Bio-X Program, Stanford University, Stanford, California 94305, and Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, kchuang@stanford.edu.
Stanford University · USUmeå University · SEUniversidad Autónoma de Madrid · ES

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI SCOTT, MATTHEW P. · 2013 to 2017
$10.9M
Engineering of cell shape and intracellular organizationDP2OD006466 · OD · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 2009 to 2009
$2.4M
NIGMS NIH HHS P50 GM107615NIH HHS DP2 OD006466NIH HHS DP2OD006466
6 · The paper itself

Abstract

The bacterial cell wall is a network of glycan strands cross-linked by short peptides (peptidoglycan); it is responsible for the mechanical integrity of the cell and shape determination. Liquid chromatography can be used to measure the abundance of the muropeptide subunits composing the cell wall. Characteristics such as the degree of cross-linking and average glycan strand length are known to vary across species. However, a systematic comparison among strains of a given species has yet to be undertaken, making it difficult to assess the origins of variability in peptidoglycan composition. We present a protocol for muropeptide analysis using ultra performance liquid chromatography (UPLC) and demonstrate that UPLC achieves resolution comparable with that of HPLC while requiring orders of magnitude less injection volume and a fraction of the elution time. We also developed a software platform to automate the identification and quantification of chromatographic peaks, which we demonstrate has improved accuracy relative to other software. This combined experimental and computational methodology revealed that peptidoglycan composition was approximately maintained across strains from three Gram-negative species despite taxonomical and morphological differences. Peptidoglycan composition and density were maintained after we systematically altered cell size in Escherichia coli using the antibiotic A22, indicating that cell shape is largely decoupled from the biochemistry of peptidoglycan synthesis. High-throughput, sensitive UPLC combined with our automated software for chromatographic analysis will accelerate the discovery of peptidoglycan composition and the molecular mechanisms of cell wall structure determination.

Indexed as

Escherichia coliChromatography, High Pressure LiquidPeptidoglycanPeptidoglycancell wallcytoskeletonhigh-performance liquid chromatography (HPLC)morphogenesismuropeptidepeptidoglycan

Identifiers

PMID26468288
PMCPMC4692233
OpenAlexW2205957896

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.