Lymphoma Data Hub (LDH)

The LDH is a collaborative research platform in digital health, specialized in data management and technological support for biomedical research. Our services include secure cloud hosting for health data, end-to-end data management from raw data deposit to ready-to-use datasets, and the deployment of advanced tools to enable research projects in artificial intelligence and bioinformatics.

CeVi Collection

The CeVi collection is a unique collection of cryopreserved viable human cells from lymphomas and reactive lymphoid tissues. It is structured around a national network of Biological Resource Centres (BRCs) and is dedicated to the use of CALYM consortium members and their partners, with the aim of accelerating lymphoma research.

Proteomics analysis

By employing advanced techniques for identification, quantification, and characterization, Proteomic Analysis offers a holistic understanding of protein expression patterns and functions. This powerful approach provides new insights into the molecular mechanisms underlying cellular processes, from signaling pathways to protein-protein interactions. By deciphering the proteome, we can uncover novel biomarkers, therapeutic targets, and pathways associated with […]

RNA-seq (bulk and single-cell)

RNA sequencing (RNA-seq) is a powerful technique for analyzing gene expression at both bulk and single-cell levels. It reveals RNA abundance, splicing, and modifications, providing insights into cellular function, tissue organization, and disease mechanisms. Bulk RNA-seq profiles large cell populations, while single-cell RNA-seq uncovers cellular heterogeneity and rare cell types, aiding biomarker discovery, understanding drug […]

Single-Cell Analysis Technologies

Our cutting-edge platforms include scRNAseq, scATAseq, spatial transcriptomics, scBRC-seq, scTCRseq, and ECCITE-seq. By leveraging these advanced technologies, we investigate the heterogeneity within cell populations, uncover rare cell types, and decipher the molecular mechanisms underlying development, disease, and immune responses. Our integrated approach enables comprehensive profiling of individual cells, driving transformative discoveries in fields ranging from […]

Spatial Transcriptomics and Proteomics

By capturing the spatial distribution of RNA and proteins in situ, our transcriptomic and proteomic platforms provides a comprehensive view of gene and protein expression respectively, within their native tissue context. Based on multiple approaches (from single-cell spatial-Omics to imaging mass spectrometry) and our lymphoid neoplasm expertise, we explore spatially defined expression patterns, cell-cell interactions, […]

Transgenesis platform

Our transgenesis platform enables the generation of customized mouse models through precise genetic modifications, including gene overexpression, knock-in mutations, and conditional gene targeting. These models provide powerful tools to study gene function, disease mechanisms, and therapeutic strategies.

HemSys

HemSys is a Multidisciplinary Consultation Meeting (MCM) software package designed for use by healthcare professionals in the field of haematology. Each partner centre can use the tool securely to manage patients treated in its establishment. The HemSys tool consists of a Multidisciplinary Consultation Meeting (MCM) software package for haematology and an associated secure database.

French Connect

French Connect is an innovative liquid biopsy platform for sensitive ctDNA-based MRD monitoring in lymphoid malignancies. It enables early relapse prediction (PET-scan correlated), MRD follow-up in clinical trials, and ancillary studies. Developed by multi-disciplinary experts from 10 leading French academic centers, this platform offers ready-to-use panels for DLBCL, PMBL, and FL, along with an optimized […]

Advanced Flow Cytometry

Our platform combines multiparameter and spectral flow cytometry with FACS to analyze and isolate diverse cell populations, enabling high-resolution study of cellular heterogeneity and function in biomedical research.

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