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.
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.
Advanced Microscopy for Molecular Localization and Interaction
Our state-of-the-art microscopy techniques includes spectral confocal microscopy, microscopic nuclear localization, Fluorescence Resonance Energy Transfer (FRET) microscopy imaging, and cell imaging. Based-on high-resolution visualization of molecular events, we investigate cellular processes and structures, along with precise assessment of distances between Ig genes and oncogenes, unveiling new insights into gene regulation and oncogenic mechanisms.
ATAC-seq (bulk and single-cell)
ATAC-seq maps chromatin accessibility to reveal gene regulatory regions, both at bulk and single-cell resolution. Bulk ATAC-seq provides genome-wide snapshots of open chromatin across cell populations, while single-cell ATAC-seq uncovers cell-to-cell variability in chromatin states. This technique enables deeper understanding of gene regulation, cellular differentiation, and disease mechanisms, offering valuable insights for cancer research and […]
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.
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 […]
Precision Genome Engineering: CRISPR Gene Editing, Barcoding, and Screening
Our platform enables precise genome editing in both cell lines and primary cells using CRISPR technology, supporting knockout, knock-in, gene tagging, and regulatory element modifications. Integrated with barcoding and high-throughput screening, it allows systematic functional genomics studies to dissect gene function, cellular pathways, and disease mechanisms. This combination of genome editing and scalable screening provides […]
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 […]