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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eLife Sciences Publications Ltd
2021
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oai:doaj.org-article:dc8df51d605e44f7b13fa1ec6b79a43e2021-12-01T12:14:41ZPGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans10.7554/eLife.705972050-084Xe70597https://doaj.org/article/dc8df51d605e44f7b13fa1ec6b79a43e2021-09-01T00:00:00Zhttps://elifesciences.org/articles/70597https://doaj.org/toc/2050-084XMany 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.Ankur V PatelRobert D TurnerAline RiffletAdelina E Acosta-MartinAndrew NicholsMilena M AwadDena LyrasIvo Gomperts BonecaMarshall BernMark O CollinsStéphane MesnageeLife Sciences Publications Ltdarticlepeptigoglycanclostridium difficilepeptidoglycan structuresoftwareopen sourcejupyter notebookMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021) |
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peptigoglycan clostridium difficile peptidoglycan structure software open source jupyter notebook Medicine R Science Q Biology (General) QH301-705.5 |
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peptigoglycan clostridium difficile peptidoglycan structure software open source jupyter notebook Medicine R Science Q Biology (General) QH301-705.5 Ankur V Patel Robert D Turner Aline Rifflet Adelina E Acosta-Martin Andrew Nichols Milena M Awad Dena Lyras Ivo Gomperts Boneca Marshall Bern Mark O Collins Stéphane Mesnage PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans |
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 |
article |
author |
Ankur V Patel Robert D Turner Aline Rifflet Adelina E Acosta-Martin Andrew Nichols Milena M Awad Dena Lyras Ivo Gomperts Boneca Marshall Bern Mark O Collins Stéphane Mesnage |
author_facet |
Ankur V Patel Robert D Turner Aline Rifflet Adelina E Acosta-Martin Andrew Nichols Milena M Awad Dena Lyras Ivo Gomperts Boneca Marshall Bern Mark O Collins Stéphane Mesnage |
author_sort |
Ankur V Patel |
title |
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_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_sort |
pgfinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans |
publisher |
eLife Sciences Publications Ltd |
publishDate |
2021 |
url |
https://doaj.org/article/dc8df51d605e44f7b13fa1ec6b79a43e |
work_keys_str_mv |
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