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Proteomics


ProFI : Proteomics French Infrastructure

Published on 30 January 2015
ProFI (Proteomics French Infrastructure) is a National Infrastructure in Biology and Health that coordinates a national proteomics network for applications in all life science fields: health, energy and the environment. Proteomics consists of studying, by mass spectrometry, proteomes; in other words, all the proteins present in a cell, organ or organism.
 

Its missions

 

  • Provide academic researchers and industry, through a single portal, access to expertise and services with high added value in proteomics and associated bioinformatics
  • Develop new tools (software, analytical methods, etc.) to detect proteins in low abundance and to study their dynamics, with applications in the fields of molecular studies of major cellular functions and clinical biology (discovery and evaluation of new biomarkers of disease)  
  • Training in the use of new tools developed by ProFI, to allow their spreading throughout all French proteomics platforms
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Robotic sample preparation
Current technology allows the mass spectrometry characterization of many protein samples within a few hours. The samples are prepared by robots who process them under perfectly identical conditions and inject them into the mass spectrometer.© F.Rhodes/CEA

Partners

CEA, Université Joseph Fourier, Université de Strasbourg, Université Paul Sabatier, CNRS, Inserm.

Organization

ProFI groups 3 sites dedicated to proteomics: Grenoble, Strasbourg and Toulouse.

Coordination

CNRS

Leader

Jérôme Garin, head of the Institute for Life Sciences Research and Technologies (CEA-IRTSV) in Grenoble.

ProFI at the CEA

The EDyP team (CEA-IRTSV) brings its knowledge in proteomics to the service of diverse areas: from the study of mechanisms modulating the expression of the genome (epigenetics) to the discovery of biomarkers for cancer or cardiovascular disease, as well as bioenergy.

Visual control of the acquisition of mass spectrometry data
Proteins from a biological sample are cut into fragments (peptides) before being analyzed by a mass spectrometer. Each peptide is associated with a spectrum. The number of spectra generated can exceed one thousand per hour. Their analysis requires bioinformatics processing.
  © F.Rhodes/CEA

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