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.
Exome-seq
Based on our Exome-seq technology, which sequences all protein-coding regions, we provide detailed genetic profiling of patient cell to uncover disease mechanisms and potential therapeutic targets in lymphoid neoplasms.
Mapping the Epigenetic Landscape: ChIP-seq, CUT&Run, and CUT&Tag
Our epigenetics methodologies, including Chromatin Immunoprecipitation (ChIP-seq), CUT&Run and CUT&Tag, provide new insights into the regulatory mechanisms governing gene expression and chromatin structure. It allows researchers to dissect complex regulatory networks, identify novel transcriptional regulatory elements, and uncover the molecular basis of diseases.
Multiple Myeloma cell lines
Explore our panel of human myeloma cell lines, including parental and CRISPR- or shRNA-engineered models, extensively characterized at molecular and phenotypic levels. Our collection also includes drug-resistant lines, supporting research on multiple myeloma biology, therapeutic targets, and resistance mechanisms
Precision Gene Modulation with Antisense Oligonucleotides (ASOs)
Our advanced Antisense Oligonucleotides (ASOs) design technologys offer a versatile approach for precisely manipulating gene expression, including the potent capability of exon skipping to modulate protein production, such as Ig genes or BCR, by targeting donor splice sites. This method is compatible with both cell lines and primary cells, offering flexibility and applicability across various […]
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, […]