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Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research

Lyme disease, caused by an infection with the spirochete Borrelia burgdorferi, is the most common vector-borne disease in North America. B. burgdorferi strains harbor extensive genomic and proteomic variability and further comparison is key to understanding the spirochetes infectivity and biological...

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Autores principales: Reddy, Panga Jaipal., Sun, Zhi, Wippel, Helisa H., Baxter, David, Swearingen, Kristian, Shteynberg, David D., Midha, Mukul K., Caimano, Melissa J., Strle, Klemen, Choi, Yongwook, Chan, Agnes P., Schork, Nicholas J., Moritz, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312716/
https://www.ncbi.nlm.nih.gov/pubmed/37398146
http://dx.doi.org/10.1101/2023.06.16.545244
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author Reddy, Panga Jaipal.
Sun, Zhi
Wippel, Helisa H.
Baxter, David
Swearingen, Kristian
Shteynberg, David D.
Midha, Mukul K.
Caimano, Melissa J.
Strle, Klemen
Choi, Yongwook
Chan, Agnes P.
Schork, Nicholas J.
Moritz, Robert L.
author_facet Reddy, Panga Jaipal.
Sun, Zhi
Wippel, Helisa H.
Baxter, David
Swearingen, Kristian
Shteynberg, David D.
Midha, Mukul K.
Caimano, Melissa J.
Strle, Klemen
Choi, Yongwook
Chan, Agnes P.
Schork, Nicholas J.
Moritz, Robert L.
author_sort Reddy, Panga Jaipal.
collection PubMed
description Lyme disease, caused by an infection with the spirochete Borrelia burgdorferi, is the most common vector-borne disease in North America. B. burgdorferi strains harbor extensive genomic and proteomic variability and further comparison is key to understanding the spirochetes infectivity and biological impacts of identified sequence variants. To achieve this goal, both transcript and mass spectrometry (MS)-based proteomics was applied to assemble peptide datasets of laboratory strains B31, MM1, B31-ML23, infective isolates B31-5A4, B31-A3, and 297, and other public datasets, to provide a publicly available Borrelia PeptideAtlas http://www.peptideatlas.org/builds/borrelia/. Included is information on total proteome, secretome, and membrane proteome of these B. burgdorferi strains. Proteomic data collected from 35 different experiment datasets, with a total of 855 mass spectrometry runs, identified 76,936 distinct peptides at a 0.1% peptide false-discovery-rate, which map to 1,221 canonical proteins (924 core canonical and 297 noncore canonical) and covers 86% of the total base B31 proteome. The diverse proteomic information from multiple isolates with credible data presented by the Borrelia PeptideAtlas can be useful to pinpoint potential protein targets which are common to infective isolates and may be key in the infection process.
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spelling pubmed-103127162023-07-01 Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research Reddy, Panga Jaipal. Sun, Zhi Wippel, Helisa H. Baxter, David Swearingen, Kristian Shteynberg, David D. Midha, Mukul K. Caimano, Melissa J. Strle, Klemen Choi, Yongwook Chan, Agnes P. Schork, Nicholas J. Moritz, Robert L. bioRxiv Article Lyme disease, caused by an infection with the spirochete Borrelia burgdorferi, is the most common vector-borne disease in North America. B. burgdorferi strains harbor extensive genomic and proteomic variability and further comparison is key to understanding the spirochetes infectivity and biological impacts of identified sequence variants. To achieve this goal, both transcript and mass spectrometry (MS)-based proteomics was applied to assemble peptide datasets of laboratory strains B31, MM1, B31-ML23, infective isolates B31-5A4, B31-A3, and 297, and other public datasets, to provide a publicly available Borrelia PeptideAtlas http://www.peptideatlas.org/builds/borrelia/. Included is information on total proteome, secretome, and membrane proteome of these B. burgdorferi strains. Proteomic data collected from 35 different experiment datasets, with a total of 855 mass spectrometry runs, identified 76,936 distinct peptides at a 0.1% peptide false-discovery-rate, which map to 1,221 canonical proteins (924 core canonical and 297 noncore canonical) and covers 86% of the total base B31 proteome. The diverse proteomic information from multiple isolates with credible data presented by the Borrelia PeptideAtlas can be useful to pinpoint potential protein targets which are common to infective isolates and may be key in the infection process. Cold Spring Harbor Laboratory 2023-06-16 /pmc/articles/PMC10312716/ /pubmed/37398146 http://dx.doi.org/10.1101/2023.06.16.545244 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Reddy, Panga Jaipal.
Sun, Zhi
Wippel, Helisa H.
Baxter, David
Swearingen, Kristian
Shteynberg, David D.
Midha, Mukul K.
Caimano, Melissa J.
Strle, Klemen
Choi, Yongwook
Chan, Agnes P.
Schork, Nicholas J.
Moritz, Robert L.
Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title_full Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title_fullStr Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title_full_unstemmed Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title_short Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research
title_sort borrelia peptideatlas: a proteome resource of common borrelia burgdorferi isolates for lyme research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312716/
https://www.ncbi.nlm.nih.gov/pubmed/37398146
http://dx.doi.org/10.1101/2023.06.16.545244
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