CBRC
CHRIST BIOLOGICAL RESEARCH CENTRE
CHRIST COLLEGE (AUTONOMOUS)
IRINJALAKUDA, KERALA, INDIA
Immune Signaling in Tumor Microenvironment
The tumor microenvironment involves complex immune signaling that regulates disease progression.
We investigate immune-tumor crosstalk to uncover mechanisms of immune escape and therapeutic response.
Cancer Biology & Experimental Therapeutics
Research includes experimental evaluation of anticancer compounds using in vitro models.
Focus is on understanding therapeutic responses and molecular mechanisms in cancer systems
Cell Communication in Cancer via Exosomes
Exosomes mediate dynamic communication between tumor and surrounding cells, driving cancer progression.
We study EV cargo and signaling to understand immune modulation, metastasis, and therapy resistance.
Multi-Omics in Precision Oncology
Integrative multi-omics approaches are used to decode complex cancer regulatory networks.
This enables identification of key pathways and targets for precision therapeutics.
Liquid biopsy enables minimally invasive detection of cancer-derived biomarkers.
We focus on EV-associated nucleic acids and proteins for early diagnosis and treatment monitoring.
Cardiometabolic Disease Biology
Research focuses on molecular mechanisms underlying metabolic disorders and cardiovascular diseases.
Key areas include insulin resistance, cardiac hypertrophy, and inflammation-driven pathologies.
Molecular Pharmacology & Translational Research
Research integrates molecular pharmacology with translational approaches for drug development.
Emphasis is on bridging laboratory discoveries with clinical applications.
Human Genetics & Disease Genomics
Research focuses on genetic polymorphisms and their role in human diseases.
Special emphasis is on identifying genetic risk factors and disease susceptibility markers.
Advanced molecular tools are used for disease detection and genetic analysis.
This includes PCR-based techniques, sequencing, and variant interpretation for clinical applications
Computational Biology & AI in Healthcare
Computational and AI-driven approaches are applied to analyze complex biological data.
This enables improved disease prediction, classification, and precision diagnostics.