ArticleThe Journal of biological chemistry2015
High-throughput, Highly Sensitive Analyses of Bacterial Morphogenesis Using Ultra Performance Liquid Chromatography.
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.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 36 citations in OpenAlex.
- NV716 acts as an envelope-active adjuvant that enhances antibiotic accumulation in Pseudomonas aeruginosa.npj antimicrobials and resistance · 2026Article
- Modulation of bacterial cell size and growth rate via activation of a cell envelope stress response.mBio · 2025Article
- A software tool and strategy for peptidoglycomics, the high-resolution analysis of bacterial peptidoglycans via LC-MS/MS.Communications chemistry · 2025Article
- Masters of Misdirection: Peptidoglycan Glycosidases in Bacterial Growth.Journal of bacteriology · 2023Review
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- SaccuFlow: A High-Throughput Analysis Platform to Investigate Bacterial Cell Wall Interactions.ACS infectious diseases · 2021Article
- Peptidoglycan: Structure, Synthesis, and Regulation.EcoSal Plus · 2021Article
- A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.Frontiers in cellular and infection microbiology · 2020Review
- Purification and HPLC Analysis of Cell Wall Muropeptides fromBio-protocol · 2019Article
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- Lytic transglycosylases RlpA and MltC assist in Vibrio cholerae daughter cell separation.Molecular microbiology · 2019Article
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- Article
- Review
- The Molecular Basis of Noncanonical Bacterial Morphology.Trends in microbiology · 2018Review
- Lytic transglycosylases: concinnity in concision of the bacterial cell wall.Critical reviews in biochemistry and molecular biology · 2017Review
- Article
- Towards an automated analysis of bacterial peptidoglycan structure.Analytical and bioanalytical chemistry · 2017Article
- Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
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.
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Registered trials
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.