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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8478412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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