Table · dataset · 2026
Toward Optimized Proteomics Analysis to Detect Bacterial and Host Proteins in Calcified Coronary Artery Plaques
Listed in figshare
Coronary calcification is the final stage in coronary heart disease, associated with significantly increased morbidity and mortality.
Description
The molecular pathology of calcification and especially events triggering calcification are poorly understood. Metagenomic and molecular microbial techniques have identified the presence of oral biofilm-producing and dental calculus-forming bacteria in atherosclerotic plaques, suggesting that they may be involved in calcification.
To enable studying this at the proteome level, we compared four different protein extraction methods to find a robust and reliable method for the identification and quantification of human and bacterial proteins from 10 calcified arterial plaques. We identified 3 913 human proteins and 24 bacterial proteins. These findings provide further support for the presence of bacterial proteins in calcified areas of coronary artery plaques, with Fusobacteria being the most abundant bacterial protein source.
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Comparisons of the extraction methods showed that the urea-based extraction method was most optimal due to its simplicity and reproducible identification of a high number of proteins, which makes it suitable for further large-scale analysis of coronary artery plaque samples.
Links
Where it is published
- DOI doi.org/10.1021/acs.jproteome.6c00422.s002 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Biochemistry and cell biology · Cancer · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Genetics · Humanities · Immunology · Infectious diseases · Inorganic chemistry · Life Sciences · Medicine & Health · Microbiology · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Cardiovascular disease 65% · Disease 75% · Heart 75% · Mass spectrometry 65%
Provenance · 1 source records, 27 field assertions
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