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.

Cell-free DNA (cfDNA) analysis

Cell-free DNA (cfDNA) analysis detects genetic mutations from DNA fragments circulating in blood or urine, offering a non-invasive alternative to tissue biopsies. In oncology, it is widely used to identify tumor mutations, monitor treatment response, and track disease progression.

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.

Metabolic analysis and characterization

Our metabolic analysis platform uses advanced techniques—from isotope tracing to LC-MS profiling—to reveal key aspects of cellular energetics and metabolite use. In oncology, it helps characterize tumor metabolism, uncover vulnerabilities, and guide therapeutic strategies.

Mouse Model – Eµ-myc

We provide Eµ-myc mouse model for non-Hodgkin B cell lymphoma study, characterized for response to chemotherapies and to metabolic inhibitors, metabolomic (carbon tracing), and transcriptomic.

In vitro modelisation – Naïve B cells to plasma cell differentiation

We offer an in vitro model of B-cell terminal differentiation, based on the isolation and activation of donor-derived B-cells. This system allows functional studies of specific proteins through gene expression modulation with antisense technology and is fully characterized by immunoglobulin isoform analysis.

Mouse Model for lymphoid neoplasms – DLBCL

Explore our mouse models designed respectively for the study of DLBCL, Burkitt Lymphoma, Amyloid light-chain amylosis, Multiple Myeloma, or Fanconi Syndrom, Light and heavy chain deposition disease. These models enable the identification of novel therapeutic targets as well as the evaluation of drug efficacy and toxicity.

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.

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