Shotgun proteomics data on the impact of hyperglycaemia on platelet protein acetylation by aspirin
Francesco Finamore,
Jean-Luc Reny,
Sarah Malacarne,
Pierre Fontana,
Jean-Charles Sanchez
Affiliations
Francesco Finamore
Translational Biomarker Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Correspondence to: Translational Biomarker Group, Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, Rue Michel Servet 1, 1211 Geneva 4, Switzerland. Fax: +41 (0) 22 3795505.
Jean-Luc Reny
Division of Internal Medicine and Rehabilitation, Geneva University Hospitals, Geneva, Switzerland; Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
Sarah Malacarne
Endocrinology, Diabetology and Nutrition Unit, Geneva University Hospitals, Geneva, Switzerland
Pierre Fontana
Translational Biomarker Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Angiology and Haemostasis, Geneva University Hospitals, Geneva, Switzerland
Jean-Charles Sanchez
Translational Biomarker Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
This data article associated with the manuscript “A high glucose levels is associated with decreased aspirin-mediated acetylation of platelet cyclooxygenase (COX)-1 at serine 529: a pilot study” (Finamore et al., 2018) refers to the shotgun proteomics approach carried out on platelet protein extracts from diabetic patients and healthy controls. Platelet proteins were in vitro incubated with 500 µM aspirin for 30 min at 37 °C to enhance the acetylation process. After protein digestion with trypsin, DDA data were acquired on a Thermo QExactive plus using 3 technical replicate injections per sample. Here, we were able to elucidate the preferential sites of aspirin-induced acetylation on a significant fraction of the platelet proteome and to quantify the impact of diabetes on the effect of aspirin on several platelet proteins. Data are available via ProteomeXchange with identifier PXD011582.
