From Micro to Macro in Mathematical Biology Workshop
Event
This week at COSBI, Pranami Bora delivered an internal seminar titled “Integrative Transcriptomic Analysis to Support Drug Target Identification in Emphysema.”
Emphysema, a major component of Chronic Obstructive Pulmonary Disease (COPD), is characterized by irreversible alveolar damage, impaired gas exchange, and progressive decline in lung function. The disease arises from complex biological mechanisms, including chronic inflammation and profound alterations in epithelial cell dynamics, making the identification of effective therapeutic targets particularly challenging.
During the seminar, Pranami presented her work on applying integrative transcriptomic analysis to better understand the molecular basis of emphysema. By combining and analyzing gene expression data across multiple sources, her research aims to:
Identify genes associated with emphysema
Characterize their functional and biological context
Support the discovery and prioritization of novel therapeutic targets
This work highlights how data-driven and systems biology approaches can contribute to disentangling the complexity of respiratory diseases. By integrating computational methods with biological insight, such analyses provide a powerful framework to accelerate drug discovery and improve our understanding of disease mechanisms.
The seminar sparked valuable discussion within the team and exemplifies COSBI’s commitment to advancing translational research through computational biology.