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Transcriptomics

At the Institute for Biomedical Technologies, a dedicated team of researchers carries out advanced transcriptomics activities aimed at dissecting gene expression and regulatory mechanisms in health and disease. The group applies state-of-the-art transcriptomic approaches to the analysis of cancer cells, stem cells, organoids, and human and murine tissues in disease models, with a strong focus on biomarker discovery and regulatory pathway characterization involving both coding and non-coding RNAs. The team also investigates extracellular vesicle (EV) transcriptomes, including exosomes and microvesicles, to identify disease biomarkers and support disease and therapeutic monitoring. Complementing these efforts, the researchers provide expertise in sample and library preparation for high-throughput sequencing, encompassing bulk, single-cell, and small/non-coding RNA workflows, and conduct in-depth analyses of transcriptome plasticity in cancer, including fusion transcripts and circular RNAs. Cutting-edge long-read sequencing technologies are employed to resolve transcriptional isoforms, complex splicing events, and structural variants. In addition, the team explores the role of tRNA modifications and tRNA-derived fragments in the regulation of translation and stem cell self-renewal and differentiation, as well as bacterial transcriptomics and host–pathogen interactions, contributing to a comprehensive understanding of transcriptional regulation across biological systems.

Research Activities

Transcriptomic analysis of cancer cells, stem cells, organoids, human and murine tissues in disease models

Transcriptomic profiling for coding and non-coding RNAs biomarker discovery and regulatory pathway analysis

Transcriptomic profiling of tumor extracellular vesicles (EVs) as intercellular communication mediators and for liquid biopsy and drug delivery applications

Sample and library preparation for high-throughput sequencing (bulk, single-cell, small and non-coding RNAs)

Analysis of transcriptome plasticity in cancer cells and characterization of fusion transcripts and circular RNAs

Long-read sequencing analyses in transcriptomic studies (transcriptional isoforms, complex splicing and structural variants)

Transcriptomic profiling of bacteria and transcriptomic study of host-pathogen interaction