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.
T-cell lymphoma cell lines
Explore our available T-cell lymphoma cell lines (>21). Conduct in-depth experiments to unravel the biology of T-cell lymphoma and identify novel drug targets.
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 […]
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.
3D bioprinting
3D Bioprinting allows the precise creation of complex tissue-like structures using cells and biomaterials. In oncology, it enables modeling of the tumor microenvironment to study cancer mechanisms and test new therapies.
Reverse Transcriptase Multiplex Ligation-dependant Probe Amplification (RT-MLPA)
RT-MLPA enables simultaneous detection and quantification of multiple RNA targets with high accuracy. In oncology, it is used to analyze gene expression signatures, identify biomarkers, and study disease mechanisms.
Proximity Ligation Assay (PLA)
Proximity Ligation Assay (PLA) enables precise detection and visualization of protein-protein interactions directly within cells. In oncology, it helps uncover signaling pathways, validate therapeutic targets, and reveal mechanisms driving cancer progression.
Immunoglobulin repertoire sequencing (Ig-Rep-Seq)
Immunoglobulin Repertoire Sequencing (Ig-Rep-Seq) deciphers the antibody diversity and immune responseat the single-cell level. This method can be used to study lymphoid malignancies, track immune responses, and guide cancer immunotherapy development.