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Mass Spectrometry-Based Proteomic Profiling of Thrombotic Material Obtained by Endovascular Thrombectomy in Patients with Ischemic Stroke.

Authors :
Muñoz, Roberto
Santamaría, Enrique
Rubio, Idoya
Ausín, Karina
Ostolaza, Aiora
Labarga, Alberto
Roldán, Miren
Zandio, Beatriz
Mayor, Sergio
Bermejo, Rebeca
Mendigaña, Mónica
Herrera, María
Aymerich, Nuria
Olier, Jorge
Gállego, Jaime
Mendioroz, Maite
Fernández-Irigoyen, Joaquín
Source :
International Journal of Molecular Sciences; Feb2018, Vol. 19 Issue 2, p498, 17p
Publication Year :
2018

Abstract

Thrombotic material retrieved from acute ischemic stroke (AIS) patients represents a valuable source of biological information. In this study, we have developed a clinical proteomics workflow to characterize the protein cargo of thrombi derived from AIS patients. To analyze the thrombus proteome in a large-scale format, we developed a workflow that combines the isolation of thrombus by endovascular thrombectomy and peptide chromatographic fractionation coupled to mass-spectrometry. Using this workflow, we have characterized a specific proteomic expression profile derived from four AIS patients included in this study. Around 1600 protein species were unambiguously identified in the analyzed material. Functional bioinformatics analyses were performed, emphasizing a clustering of proteins with immunological functions as well as cardiopathy-related proteins with blood-cell dependent functions and peripheral vascular processes. In addition, we established a reference proteomic fingerprint of 341 proteins commonly detected in all patients. Protein interactome network of this subproteome revealed protein clusters involved in the interaction of fibronectin with 14-3-3 proteins, TGFβ signaling, and TCP complex network. Taken together, our data contributes to the repertoire of the human thrombus proteome, serving as a reference library to increase our knowledge about the molecular basis of thrombus derived from AIS patients, paving the way toward the establishment of a quantitative approach necessary to detect and characterize potential novel biomarkers in the stroke field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
19
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
128236023
Full Text :
https://doi.org/10.3390/ijms19020498