Institute for Genetic and Biomedical Research (IRGB)

Expertise

Genomics and Transcriptomics

  • Next Generation Sequencing (WGS, WES, RNASeq, single-cell RNASeq)
  • Genotyping and targeted validation
  • Analysis of tissue, blood, and liquid biopsy samples
  • High-reliability platforms: Illumina and Ion Torrent

Clinical Cohorts and Data Management

  • Collection and characterization of Clinical Cohorts
  • Integration of Clinical, Phenotypic and Biometric Data
  • Dedicated databases and data quality control

Biomarkers and Clinical Chemistry

  • Biomarker Quantification: ELISA, xMAP, SiMoA
  • Clinical Chemistry Analysis and Immunological Assays
  • Biological and Translational Characterization Support

Cytometry and Immunophenotyping

  • Multiparametric Flow Cytometry and Cell Sorting
  • Study of Cellular Heterogeneity and Immune Activation
  • Integration with Multi-omics Analysis

Bioinformatics and Biostatistics

  • Analysis of large genomic, transcriptomic, proteomic, and metabolomic datasets
  • Genetic association studies (GWAS) and variant interpretation
  • Advanced statistical models, machine learning, and deep learning

Functional studies and experimental models

  • Gene expression analysis and molecular networks
  • In vitro cellular models: cell lines, primary cells, iPSCs, organoids
  • Proteomics and biochemical analyses for the study of pathways and post-translational modifications

Molecular Oncology and Precision Medicine

  • Solid Tumor Analysis and Liquid Biopsy
  • Identification of Predictive and Prognostic Biomarkers
  • NGS, ddPCR, EasyPGX, Idylla, FISH, and Immunohistochemistry Techniques

Genome Editing and Gene Therapy

  • CRISPR-Cas9 for Experimental Models and Functional Studies
  • Applications in Rare Diseases, Gene Therapy, and Regenerative Medicine

In Vivo Studies

  • Transgenic and Knockout Mouse Models
  • Analysis of Systemic Pathogenic Mechanisms
  • Studies on ²-thalassemia, sickle cell anemia, and rare genetic diseases

Molecular Modeling and Drug Discovery

  • Molecular docking, molecular dynamics, and virtual screening
  • In silico design and optimization of RNA molecules and drugs
  • Evaluation of interactions with biological targets and pharmacological properties