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Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection
Comprehensive proteome-wide analysis of the syphilis spirochete, Treponema pallidum ssp. pallidum, is technically challenging due to high sample complexity, difficulties with obtaining sufficient quantities of bacteria for analysis, and the inherent fragility of the T. pallidum cell envelope which f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600179/ https://www.ncbi.nlm.nih.gov/pubmed/37880309 http://dx.doi.org/10.1038/s41598-023-45219-8 |
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author | Houston, Simon Gomez, Alloysius Geppert, Andrew Eshghi, Azad Smith, Derek S. Waugh, Sean Hardie, Darryl B. Goodlett, David R. Cameron, Caroline E. |
author_facet | Houston, Simon Gomez, Alloysius Geppert, Andrew Eshghi, Azad Smith, Derek S. Waugh, Sean Hardie, Darryl B. Goodlett, David R. Cameron, Caroline E. |
author_sort | Houston, Simon |
collection | PubMed |
description | Comprehensive proteome-wide analysis of the syphilis spirochete, Treponema pallidum ssp. pallidum, is technically challenging due to high sample complexity, difficulties with obtaining sufficient quantities of bacteria for analysis, and the inherent fragility of the T. pallidum cell envelope which further complicates proteomic identification of rare T. pallidum outer membrane proteins (OMPs). The main aim of the present study was to gain a deeper understanding of the T. pallidum global proteome expression profile under infection conditions. This will corroborate and extend genome annotations, identify protein modifications that are unable to be predicted at the genomic or transcriptomic levels, and provide a foundational knowledge of the T. pallidum protein expression repertoire. Here we describe the optimization of a T. pallidum-specific sample preparation workflow and mass spectrometry-based proteomics pipeline which allowed for the detection of 77% of the T. pallidum protein repertoire under infection conditions. When combined with prior studies, this brings the overall coverage of the T. pallidum proteome to almost 90%. These investigations identified 27 known/predicted OMPs, including potential vaccine candidates, and detected expression of 11 potential OMPs under infection conditions for the first time. The optimized pipeline provides a robust and reproducible workflow for investigating T. pallidum protein expression during infection. Importantly, the combined results provide the deepest coverage of the T. pallidum proteome to date. |
format | Online Article Text |
id | pubmed-10600179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106001792023-10-27 Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection Houston, Simon Gomez, Alloysius Geppert, Andrew Eshghi, Azad Smith, Derek S. Waugh, Sean Hardie, Darryl B. Goodlett, David R. Cameron, Caroline E. Sci Rep Article Comprehensive proteome-wide analysis of the syphilis spirochete, Treponema pallidum ssp. pallidum, is technically challenging due to high sample complexity, difficulties with obtaining sufficient quantities of bacteria for analysis, and the inherent fragility of the T. pallidum cell envelope which further complicates proteomic identification of rare T. pallidum outer membrane proteins (OMPs). The main aim of the present study was to gain a deeper understanding of the T. pallidum global proteome expression profile under infection conditions. This will corroborate and extend genome annotations, identify protein modifications that are unable to be predicted at the genomic or transcriptomic levels, and provide a foundational knowledge of the T. pallidum protein expression repertoire. Here we describe the optimization of a T. pallidum-specific sample preparation workflow and mass spectrometry-based proteomics pipeline which allowed for the detection of 77% of the T. pallidum protein repertoire under infection conditions. When combined with prior studies, this brings the overall coverage of the T. pallidum proteome to almost 90%. These investigations identified 27 known/predicted OMPs, including potential vaccine candidates, and detected expression of 11 potential OMPs under infection conditions for the first time. The optimized pipeline provides a robust and reproducible workflow for investigating T. pallidum protein expression during infection. Importantly, the combined results provide the deepest coverage of the T. pallidum proteome to date. Nature Publishing Group UK 2023-10-25 /pmc/articles/PMC10600179/ /pubmed/37880309 http://dx.doi.org/10.1038/s41598-023-45219-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Houston, Simon Gomez, Alloysius Geppert, Andrew Eshghi, Azad Smith, Derek S. Waugh, Sean Hardie, Darryl B. Goodlett, David R. Cameron, Caroline E. Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title | Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title_full | Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title_fullStr | Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title_full_unstemmed | Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title_short | Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection |
title_sort | deep proteome coverage advances knowledge of treponema pallidum protein expression profiles during infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600179/ https://www.ncbi.nlm.nih.gov/pubmed/37880309 http://dx.doi.org/10.1038/s41598-023-45219-8 |
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