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.
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.
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.
Genome Integrity Analysis: Replication and DNA Damage Detection
Our expertise include DNA combing, detection of cytosolic DNA and detection of DNA damage foci, enabling detailed study of DNA replication and genome stability. Allowing quantification of replication stress, fork resection, and DNA damage at both single-molecule and cellular levels, they help uncover mechanisms of cancer progression, inflammation, and potential therapeutic targets.
Hi-C
By detecting physical interactions between distant DNA segments, Hi-C offers insights into the spatial structure and folding of chromatin. Hi-C serves as a powerful tool for deciphering the principles governing chromatin organization, from the formation of topologically associating domains (TADs) to the spatial compartmentalization of regulatory elements and gene expression domains.
miRNA profiling
miRNA Profiling quantifies and characterizes microRNA expression to study their role in regulating gene expression. It helps identify biomarkers and potential therapeutic targets for cancer treatment.