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PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria

From industry to food to health, bacteria play an important role in all facets of life. Some of the most important bacteria have been purposely engineered to produce commercial quantities of antibiotics and therapeutics, and non-classical secretion systems are at the forefront of these technologies....

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Detalles Bibliográficos
Autores principales: Dai, Wei, Li, Jiahui, Li, Qi, Cai, Jiasheng, Su, Jianzhong, Stubenrauch, Christopher, Wang, Jiawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728121/
https://www.ncbi.nlm.nih.gov/pubmed/34551435
http://dx.doi.org/10.1093/nar/gkab814
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author Dai, Wei
Li, Jiahui
Li, Qi
Cai, Jiasheng
Su, Jianzhong
Stubenrauch, Christopher
Wang, Jiawei
author_facet Dai, Wei
Li, Jiahui
Li, Qi
Cai, Jiasheng
Su, Jianzhong
Stubenrauch, Christopher
Wang, Jiawei
author_sort Dai, Wei
collection PubMed
description From industry to food to health, bacteria play an important role in all facets of life. Some of the most important bacteria have been purposely engineered to produce commercial quantities of antibiotics and therapeutics, and non-classical secretion systems are at the forefront of these technologies. Unlike the classical Sec or Tat pathways, non-classically secreted proteins share few common characteristics and use much more diverse secretion pathways for protein transport. Systematically categorizing and investigating the non-classically secreted proteins will enable a deeper understanding of their associated secretion mechanisms and provide a landscape of the Gram-positive secretion pathway distribution. We therefore developed PncsHub (https://pncshub.erc.monash.edu/), the first universal platform for comprehensively annotating and analyzing Gram-positive bacterial non-classically secreted proteins. PncsHub catalogs 4,914 non-classically secreted proteins, which are delicately categorized into 8 subtypes (including the ‘unknown’ subtype) and annotated with data compiled from up to 26 resources and visualisation tools. It incorporates state-of-the-art predictors to identify new and homologous non-classically secreted proteins and includes three analytical modules to visualise the relationships between known and putative non-classically secreted proteins. As such, PncsHub aims to provide integrated services for investigating, predicting and identifying non-classically secreted proteins to promote hypothesis-driven laboratory-based experiments.
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spelling pubmed-87281212022-01-05 PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria Dai, Wei Li, Jiahui Li, Qi Cai, Jiasheng Su, Jianzhong Stubenrauch, Christopher Wang, Jiawei Nucleic Acids Res Database Issue From industry to food to health, bacteria play an important role in all facets of life. Some of the most important bacteria have been purposely engineered to produce commercial quantities of antibiotics and therapeutics, and non-classical secretion systems are at the forefront of these technologies. Unlike the classical Sec or Tat pathways, non-classically secreted proteins share few common characteristics and use much more diverse secretion pathways for protein transport. Systematically categorizing and investigating the non-classically secreted proteins will enable a deeper understanding of their associated secretion mechanisms and provide a landscape of the Gram-positive secretion pathway distribution. We therefore developed PncsHub (https://pncshub.erc.monash.edu/), the first universal platform for comprehensively annotating and analyzing Gram-positive bacterial non-classically secreted proteins. PncsHub catalogs 4,914 non-classically secreted proteins, which are delicately categorized into 8 subtypes (including the ‘unknown’ subtype) and annotated with data compiled from up to 26 resources and visualisation tools. It incorporates state-of-the-art predictors to identify new and homologous non-classically secreted proteins and includes three analytical modules to visualise the relationships between known and putative non-classically secreted proteins. As such, PncsHub aims to provide integrated services for investigating, predicting and identifying non-classically secreted proteins to promote hypothesis-driven laboratory-based experiments. Oxford University Press 2021-09-22 /pmc/articles/PMC8728121/ /pubmed/34551435 http://dx.doi.org/10.1093/nar/gkab814 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Dai, Wei
Li, Jiahui
Li, Qi
Cai, Jiasheng
Su, Jianzhong
Stubenrauch, Christopher
Wang, Jiawei
PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title_full PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title_fullStr PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title_full_unstemmed PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title_short PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria
title_sort pncshub: a platform for annotating and analyzing non-classically secreted proteins in gram-positive bacteria
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728121/
https://www.ncbi.nlm.nih.gov/pubmed/34551435
http://dx.doi.org/10.1093/nar/gkab814
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