CITE-seq
CITE-seq combines single-cell RNA sequencing with protein detection to analyze cell populations in detail. Our platform facilitates comprehensive characterization of cell types, states, and interactions, enabling to profile immune cell responses,to identify rare cell populations, or to unravel disease mechanisms
CRISPR Screening Platform
This academic platform proposes to perform CRISPR-based screens, enabling the comprehensive interrogation of the functional consequences of a genomic modification at the whole-genome scale, revealing how genomic alterations in coding or regulatory regions lead to phenotypic changes. The coordinator of the platform is Sandrine Roulland.
DNA methylation – ERRBS
Enhanced Reduced Representation Bisulfite Sequencing (ERRBS) maps DNA methylation at single-nucleotide resolution to study epigenetic regulation. It helps reveal cancer-associated epigenetic changes and identify potential biomarkers and therapeutic targets.
Epitranscriptomics
Our epitranscriptomics pipeline uses LC-MS/MS to detect and quantify RNA modifications, providing insights into RNA regulation. We use this innovative platform to unravel the intricacies of epitranscriptomic modifications during critical cellular processes such as B to plasma cell differentiation, lymphomagenesis, and myelomagenesis. It helps to shed light on the underlying molecular pathways driving disease progression […]
BH3 profiling toolkit
Our BH3 mimetic toolkit measures early drug-induced changes in proapoptotic signaling, revealing shifts in antiapoptotic dependencies. It helps to identify novel drug targets and predictive biomarkers, and offers to assess cellular fate across diverse experimental settings.
DNA-RNA immunoprecipitation sequencing (DRIP-seq)
DRIP-seq maps DNA-RNA hybrids (R-loops) across the genome to study their roles in gene regulation and genome stability. It helps reveal mechanisms of transcription, DNA repair, and chromatin organization, providing insights relevant to disease and potential therapeutic strategies.
In vitro modelisation – Memory B cells to plasma cell differentiation
Explore our in vitro model enabling the isolation of memory B cells from blood donors and their differentiation into plasma cells. This system supports the study of protein function through gene expression modulation or drug treatment and is extensively characterized at a molecular and epigenetic levels.
Genome Integrity Analysis: Replication and DNA Damage Detection
Our expertise include DNA combing, detection of cytosolic DNA and detection of DNA damage foci, enabling detailed study of DNA replication and genome stability. Allowing quantification of replication stress, fork resection, and DNA damage at both single-molecule and cellular levels, they help uncover mechanisms of cancer progression, inflammation, and potential therapeutic targets.
Hi-C
By detecting physical interactions between distant DNA segments, Hi-C offers insights into the spatial structure and folding of chromatin. Hi-C serves as a powerful tool for deciphering the principles governing chromatin organization, from the formation of topologically associating domains (TADs) to the spatial compartmentalization of regulatory elements and gene expression domains.
miRNA profiling
miRNA Profiling quantifies and characterizes microRNA expression to study their role in regulating gene expression. It helps identify biomarkers and potential therapeutic targets for cancer treatment.