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PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans

Many software solutions are available for proteomics and glycomics studies, but none are ideal for the structural analysis of peptidoglycan (PG), the essential and major component of bacterial cell envelopes. It icomprises glycan chains and peptide stems, both containing unusual amino acids and suga...

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Autores principales: Patel, Ankur V, Turner, Robert D, Rifflet, Aline, Acosta-Martin, Adelina E, Nichols, Andrew, Awad, Milena M, Lyras, Dena, Gomperts Boneca, Ivo, Bern, Marshall, Collins, Mark O, Mesnage, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478412/
https://www.ncbi.nlm.nih.gov/pubmed/34579805
http://dx.doi.org/10.7554/eLife.70597
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author Patel, Ankur V
Turner, Robert D
Rifflet, Aline
Acosta-Martin, Adelina E
Nichols, Andrew
Awad, Milena M
Lyras, Dena
Gomperts Boneca, Ivo
Bern, Marshall
Collins, Mark O
Mesnage, Stéphane
author_facet Patel, Ankur V
Turner, Robert D
Rifflet, Aline
Acosta-Martin, Adelina E
Nichols, Andrew
Awad, Milena M
Lyras, Dena
Gomperts Boneca, Ivo
Bern, Marshall
Collins, Mark O
Mesnage, Stéphane
author_sort Patel, Ankur V
collection PubMed
description Many software solutions are available for proteomics and glycomics studies, but none are ideal for the structural analysis of peptidoglycan (PG), the essential and major component of bacterial cell envelopes. It icomprises glycan chains and peptide stems, both containing unusual amino acids and sugars. This has forced the field to rely on manual analysis approaches, which are time-consuming, labour-intensive, and prone to error. The lack of automated tools has hampered the ability to perform high-throughput analyses and prevented the adoption of a standard methodology. Here, we describe a novel tool called PGFinder for the analysis of PG structure and demonstrate that it represents a powerful tool to quantify PG fragments and discover novel structural features. Our analysis workflow, which relies on open-access tools, is a breakthrough towards a consistent and reproducible analysis of bacterial PGs. It represents a significant advance towards peptidoglycomics as a full-fledged discipline.
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spelling pubmed-84784122021-09-30 PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans Patel, Ankur V Turner, Robert D Rifflet, Aline Acosta-Martin, Adelina E Nichols, Andrew Awad, Milena M Lyras, Dena Gomperts Boneca, Ivo Bern, Marshall Collins, Mark O Mesnage, Stéphane eLife Microbiology and Infectious Disease Many software solutions are available for proteomics and glycomics studies, but none are ideal for the structural analysis of peptidoglycan (PG), the essential and major component of bacterial cell envelopes. It icomprises glycan chains and peptide stems, both containing unusual amino acids and sugars. This has forced the field to rely on manual analysis approaches, which are time-consuming, labour-intensive, and prone to error. The lack of automated tools has hampered the ability to perform high-throughput analyses and prevented the adoption of a standard methodology. Here, we describe a novel tool called PGFinder for the analysis of PG structure and demonstrate that it represents a powerful tool to quantify PG fragments and discover novel structural features. Our analysis workflow, which relies on open-access tools, is a breakthrough towards a consistent and reproducible analysis of bacterial PGs. It represents a significant advance towards peptidoglycomics as a full-fledged discipline. eLife Sciences Publications, Ltd 2021-09-28 /pmc/articles/PMC8478412/ /pubmed/34579805 http://dx.doi.org/10.7554/eLife.70597 Text en © 2021, Patel et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Microbiology and Infectious Disease
Patel, Ankur V
Turner, Robert D
Rifflet, Aline
Acosta-Martin, Adelina E
Nichols, Andrew
Awad, Milena M
Lyras, Dena
Gomperts Boneca, Ivo
Bern, Marshall
Collins, Mark O
Mesnage, Stéphane
PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title_full PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title_fullStr PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title_full_unstemmed PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title_short PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
title_sort pgfinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
topic Microbiology and Infectious Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478412/
https://www.ncbi.nlm.nih.gov/pubmed/34579805
http://dx.doi.org/10.7554/eLife.70597
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