Evidence map›Paper›PMID 39622905›Full record

ArticleScientific data2024

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

Panga J Reddy, Zhi Sun, Helisa H Wippel, David H Baxter, Kristian Swearingen, David D Shteynberg, Mukul K Midha, Melissa J Caimano, Klemen Strle, Yongwook Choi and 4 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Panga J Reddy *Institute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0002-4481-3631
Zhi Sun *Institute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0003-3324-6851
Helisa H Wippel *Institute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0002-9811-6700
David H BaxterInstitute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0003-4468-2069
Kristian SwearingenInstitute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0002-6756-4471
David D ShteynbergInstitute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0001-7982-0498
Mukul K MidhaInstitute for Systems Biology, Seattle, Washington, USA.ORCID 0000-0003-4053-0682
Melissa J CaimanoDepartment of Medicine, UConn Health, Farmington, Connecticut, USA.ORCID 0000-0003-1170-4102
Klemen StrleDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-0109-6791
Yongwook ChoiTranslational Genomics Research Institute, Phoenix, Arizona, USA.ORCID 0000-0003-4017-9669
Agnes P ChanTranslational Genomics Research Institute, Phoenix, Arizona, USA.ORCID 0000-0003-2373-9580
Nicholas J SchorkTranslational Genomics Research Institute, Phoenix, Arizona, USA.ORCID 0000-0003-0920-5013
Andrea S Varela-StokesTufts University Cummings School of Veterinary Medicine, Department of Comparative Pathobiology, Grafton, MA, 01536, USA.ORCID 0000-0002-3991-9730
Robert L MoritzInstitute for Systems Biology, Seattle, Washington, USA. rmoritz@systemsbiology.org.ORCID 0000-0002-3216-9447

Funding

RpoS Regulation of Borrelia burgdorferi Genes in vivoR01AI029735 · NIAID · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI CAIMANO, MELISSA J, RADOLF, JUSTIN D · 1990 to 2022
$10.7M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
Proteogenomic resource for the development of novel markers for Lyme diseaseR21AI142302 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2020
$522k
Novel peptide based biomarkers for Lyme disease diagnosticsR21AI133335 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2018 to 2019
$522k
National Science Foundation (NSF) 1920268NIAID NIH HHS R01 AI029735NIAID NIH HHS R21 AI133335NIAID NIH HHS R21 AI142302NIGMS NIH HHS R01 GM087221NIH HHS S10 OD026936U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI029735U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM087221U.S. Department of Health & Human Services | National Institutes of Health (NIH) R21AI133335U.S. Department of Health & Human Services | National Institutes of Health (NIH) R21AI142302
6 · The paper itself

Abstract

Lyme disease is caused by an infection with the spirochete Borrelia burgdorferi, and is the most common vector-borne disease in North America. B. burgdorferi isolates harbor extensive genomic and proteomic variability and further comparison of isolates is key to understanding the infectivity of the spirochetes and biological impacts of identified sequence variants. Here, we applied both transcriptome analysis and mass spectrometry-based proteomics to assemble peptide datasets of B. burgdorferi laboratory isolates B31, MM1, and the infective isolate B31-5A4, to provide a publicly available Borrelia PeptideAtlas. Included are total proteome, secretome, and membrane proteome identifications of the individual isolates. Proteomic data collected from 35 different experiment datasets, totaling 386 mass spectrometry runs, have identified 81,967 distinct peptides, which map to 1,113 proteins. The Borrelia PeptideAtlas covers 86% of the total B31 proteome of 1,291 protein sequences. The Borrelia PeptideAtlas is an extensible comprehensive peptide repository with proteomic information from B. burgdorferi isolates useful for Lyme disease research.

Indexed as

Bacterial ProteinsBorrelia burgdorferiLyme DiseaseProteomeMass SpectrometryProteomicsBacterial ProteinsProteome

Identifiers

PMID39622905
PMCPMC11612207

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.