ProFi PROTEOMICS

ANALYSIS REQUEST

PROTEOMICS FREE SOFTWARE

ProFI Proteomics
The Proteomics French Infrastructure is a national project set up to provide a unified service platform in proteomics studies.
It's open to both public and private collaborations.

PROTEOMICS FREE SOFTWARE

ANALYSIS REQUEST

Proteomics Services

Large scale protein identification and quantification

Current proteomics methods and instrumentation represent today a powerful tool to get new insights into complex biological systems.

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Targeted quantification

Targeted strategies have emerged ten years ago and are best suited when precise, ideally absolute, quantification of finite sets of proteins are required with highest sensitivity.

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Post-translational modifications: detection and quantification

Proteins are very often the subject of various post-translational modifications (PTMs) that can impact their association with other proteins and globally other biomolecules, their subcellular localization and their stability.

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Interactomics and protein complexes

Interactomics and protein complexes investigations are also based on our strategies and instrumentation for large-scale and targeted quantification.

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Characterization of intact proteins and complexes

The next frontiers in proteome research are the study of protein-ligand interactions, protein-peptide and protein-protein complexes, together with entire protein interaction networks by high-throughput methods.

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How to submit a request

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ProFI Proteomics Skills

Publications

On the international stage

National Networks

Tools and methods for the community

Last News

Inserm Workshop 262: Mass Spectrometry for Structural Biology

This workshop will present the fundamental and applied aspects of Mass Spectrometry-based structural techniques, as well as data analysis procedures. State-of-the-art lectures will be given by experts in the field, destined to both non-MS and MS specialists. It will...

ProteoRE, a web application for the discovery of biomarkers of diagnostic interest

Although biomarkers are widely used, important limitations have been identified due to their lack of specificity. An a priori knowledge-based approach (i.e. based on mechanistic criteria specific to the genesis of a disease) that takes advantage of ever-increasing “omics” databases could be a powerful way to identify biomarkers, provided that scientists have access to computer tools to search the data even when they have little experience in programming or bioinformatics support.