Borrelia PeptideAtlas: A proteome resource of commonBorrelia burgdorferiisolates for Lyme research

Author:

Reddy Panga Jaipal.ORCID,Sun ZhiORCID,Wippel Helisa H.ORCID,Baxter DavidORCID,Swearingen KristianORCID,Shteynberg David D.ORCID,Midha Mukul K.ORCID,Caimano Melissa J.ORCID,Strle KlemenORCID,Choi YongwookORCID,Chan Agnes P.ORCID,Schork Nicholas J.ORCID,Moritz Robert L.ORCID

Abstract

AbstractLyme disease, caused by an infection with the spirocheteBorrelia burgdorferi, is the most common vector-borne disease in North America.B. burgdorferistrains 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 theseB. burgdorferistrains. 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.

Publisher

Cold Spring Harbor Laboratory

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