Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Axis 4: Statistical analysis of high-throughput proteomic data

Participants : Guillemette Marot, Vincent Vandewalle, Wilfried Heyse.

From March until August 2019, Guillemette Marot and Vincent Vandewalle have supervised the internship of Wilfried Heyse (Master 2 Ingénieurie de Sytèmes Numériques). The purpose of this internship was to identify new circulating biomarkers of left ventricular remodelling (LVR) in patients suffering from myocardial infarction (MI). The aim is to precisely identify earlier after MI the patients at high risk of developing LVR that is quantified by imaging one year after MI. For that purpose, high throughput proteomic approach was used. This technology allows the measurement of 5000 proteins simultaneously. In parallel to these measures corresponding to the concentration of a protein in a plasma sample collected from one patient at a specific time, echocardiographic and clinical information will be collected on each of the 200 patients. Several approaches have been used to predict the LVR based on proteins measurements. In particular penalized regression such as LASSO and variable clustering. Wilfried Heyse has now started a Phd Thesis granted by INSERM and supervised by Christophe Bauters, Guillemette Marot and Vincent Vandewalle. One of the main challenge is to take into account the variations of the biomarkers according to the time (several measurement times), in order the improve the understanding of biological mechanisms involved on LVR.

This is a joint work with Florence Pinet and Christophe Bauters from INSERM.