Workpackage

Deep Immunophenotyping and new biomarkers for better patient stratification

Workpackage
Workpackage

Deep Immunophenotyping and new biomarkers for better patient stratification

Objective : Longitudinal follow-up with in-depth medical, clinical information and immunological status to establish a comprehensive ImmunoScore in Lupus, RA SSc.

Workpackage 5 (WP5) is focused on addressing three complex diseases (SLE, RA, and Sclerodermia) through cutting-edge and multidisciplinary technologies, integrating insights from genetics, deep immunophenotyping, transcriptomic and epitranscriptomic analyses, large scale quantitative proteomics, and patient exposure to better stratify the patients.

WP Leader
Pascale Louis-Plence
CRHC Inserm

Task 5.1. Deep immunophenotyping

Multiparametric flow cytometry on PBMCs.

B and T cell purifications for:
• RNAseq Total library
• sc RNA seq VDJ library

Analysis:
• Supervized
• Unsupervized

Task 5.2. Transcriptomic Analyses

Single-cell profiling of the patient T and B cells.

Oligoclonality of the TCR and BCR repertoire.

Ag-specific B cell sorting for Immune profiling.

Identification of module of co-regulated genes.

Task 5.3. Proteomics and Epitranscriptomics

Circulating Biomarkers : Large‐scale quantitative clinical proteomics of patient’s serum.

Multiplexed quantification of chemokines and cytokines.

Autoantigen characterization : Characterization of autoantigens bound to AID-derived serum (LES and Sclerodermia).

Epitranscriptomics : Multiplexed RNA-Modifications quantification.

Task 5.4. Integrated genomic, epigenetic and transcriptomic data

Multi-omics genomic medicine sequencing :

Long Reads DNA
• SNV and SV analysis
• Methlylation profile
• Long Reads transcriptomics
• Differential expression analysis
• Transcript analysis

Integrated OMICS anaylsis for molecular diagnostic stratification and therapeutic prediction.

Task 5.5. Exposome

Patients’s exposure to:
• Air pollution (remote sensor)
• Water pollution
• Soil contaminants
• Biocontaminants (molds, pollen)
• Infections
• Green, gray, blue spaces
• Diet
• Meteorological variables
• Lifestyle (tobacco, alcohol)
• Occupation
• Socio-economic status
• Etc…

Task 5.6. Final Goal Patient stratification and new professional practises

Identification of Biomarkers.

Clustering / Stratification of patients in each AID (RA, SLE, Sclerodermia).

Comparative signature, Identification of sub-population for treatment strategy, Define deregulated pathways and new therapeutic target , in-depth analysis of risk factors, prognostic markers and efficacy of therapeutic interventions, Development of new therapeutic strategies.

Academic and industrial partners
Groupes de travail

Les autres workpackages

Les autres groupes de travail pour mener à bien ce projet.

Rechercher sur le site