Data from differentially expressed proteins in platelet components associated with adverse transfusion reactions

Chaker Aloui,Céline Barlier,Danielle Awounou,Stéphane Claverol,Jocelyne Fagan,Fabrice Cognasse,Olivier Garraud,Sandrine Laradi

doi:10.1016/j.dib.2019.104013

Abstract

The presented dataset was used for the study focused on the search for differentially expressed proteins in blood platelet components (PCs) associated with adverse transfusion reactions (ATRs). Pellets of ATR platelet components and their controls were subjected to high-throughput proteomics analysis using a Q Exactive high-resolution tandem mass spectrometer. The data reported here constitutes an extension of “Differential protein expression of blood platelet components associated with adverse transfusion reactions” article Aloui et al., 2018. The reported data herein have been deposited into the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD003510 for the pooled platelet components (PPCs) and PXD008886 for the apheresis platelet components (SDA-PCs) associated with ATRs.

Highlights

The presented dataset was used for the study focused on the search for differentially expressed proteins in blood platelet components (PCs) associated with adverse transfusion reactions (ATRs)
The reported data have been deposited into the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD003510 for the pooled platelet components (PPCs) and PXD008886 for the apheresis platelet components (SDA-PCs) associated with ATRs
Abreviations: ATR, adverse transfusion reaction; GO, gene ontology; DE, differentially expressed; PC, platelet component; PPC, buffy-coat-derived pooled PC; SDA-PC, single donor apheresis PC; ATR-PC, PC associated with an ATR; No ATR PC, PC not associated with an ATR

Summary

Specifications table

Biology Platelet proteomics profiling associated with adverse transfusion reactions (ATRs) Mass spectrometry raw files, tables and figure Peptides were analysed on an Ultimate 3000 nanoLC system (Dionex, Amsterdam, The Netherlands) coupled to an Electrospray Q Exactive quadrupole Orbitrap benchtop mass spectrometer (Thermo Fisher Scientific, San Jose, CA, USA). Value of the data This dataset presents the first exploration of the platelet proteomic signature associated with adverse transfusion reaction (ATRs) in two types of PCs These data constitute an interesting resource, essential to direct subsequent/future studies, especially in the context of inflammation These data provide a basis for subsequent comparisons of differential protein expression of blood platelet component associated with ATRs, including the investigation of the biological processes such as i) between platelet pellets and supernatants ii) between different preparation processes This proteomics analysis paves the way to a better understanding of the pathophysiological mechanisms involved in ATRs The provided dataset can be useful for transfusion medicine in order to improve transfusion safety and efficacy. The results of the processed data are formatted in Excel (.xlsx) tables in Mendeley Data (https://data. mendeley.com/datasets/p8rfnkmdtp/1)

Sample collection and inclusion criteria

Sample preparation for label-free analysis

Database search and results processing

Label-free quantitative data analysis

Functional analysis: bioinformatics and data interpretation