Global run-on sequencing (GRO-seq)
GRO-seq allows researchers to map the locations of actively transcribing RNA polymerases and nascent RNA molecules to study the regulation and coordination of gene expression. This technique facilitates the identification of transcriptional enhancers, promoters, and regulatory elements, shedding light on the orchestration of cellular processes and the molecular basis of disease.
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
scBCR-seq & scTCR-seq
scBCR-seq and scTCR-seq profiles B or T cell receptors at the single-cell level, revealing their diversity, specificity, and clonal dynamics. These techniques provides insights into adaptive immunity, vaccine responses, antigen recognition and antibody-based therapies.
Genetically engineered mouse models
Gain access to our expertise to engineer unique « à la carte » transgenic mouse models.
Mouse Model – B-cell Lymphoma
Gain access to our engineered mouse models, including CD19-Cre transgenic strain (allowing conditional engineering in B cells), BCL2tracer strain (mimicking sporadic t(14;18) translocation), AID-Cre-ERT2 KI/KO strain (used to monitor memory B cell population), RosaYFP Reporter strain, MLL4 f/F strain, Cas9-GFP Cre strain, and BCL2/KDMT2D knock-out strain (either as a syngenic chimera model or xenograft), and […]
ECCITE-seq
ECCITE-seq combines CRISPR perturbations, RNA sequencing, and protein detection at the single-cell level, enabling integrated analysis of transcriptome, genome, and proteome. This technique provides deep insights into cellular states and regulatory networks, serving as a powerful tool for CRISPR screens, functional genomics, and precision medicine research.
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.
Patient Derived Organoids – Follicular lymphoma
Discover our organoid model derived from FL patient primary cells (tumor and microenvironment), cultured in vitro on a peptide-based gel matrix. This system enables drug and target discovery through gene expression modulation and extensive screening of small molecules, antibodies, and CAR-T cells. Each sample is linked to clinical data and integrated into a predictive model […]
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.