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MRCCT Research Streams


Slide Host-Microbe
interactions in
Health and Disease
Cellular dynamics
of Immune
and genomic

Host-Microbe interactions in Health and Disease​

From microbes to new diagnostics and therapeutics 

Each human on Earth interacts with tens of thousands of microorganisms, including microbes associated with infectious diseases and chronic inflammatory conditions.

We investigate the complex interactions between these microbes and hosts, the immune responses they trigger, and their impact on human health in general. Our findings enable us to develop and implement innovative approaches for diagnostic and therapeutic interventions.

Enteric and pulmonary pathogens, neglected tropical diseases, fungal and viral pathogens, parasites, inflammation, tuberculosis, autoimmune conditions, and genetic disorders are among the diseases and conditions our researchers have studied.

Read about our publications and projects.

Cellular dynamics of Immune (dys)function​

To come – description 

Computational and Genomic Medicine​

Pushing the boundaries of biomedical research with integrated omics and machine learning

Inherited genetic information and acquired genetic mutations are what make us unique. Genes influence the color of our eyes, how we respond to infections and our chances of developing certain diseases. But this is only the first layer of complexity in genomics.

Infectious diseases and chronic conditions studied result from accumulated individual genetic variations and interactions with our environment. 

At these levels, the epigenome, the transcriptome, the proteome, the metabolome, and the microbiome come into play. These are the complex genomic layers we investigate in this research stream.

How do genetic variations impact cell functions and our overall health? How do cells package and use the genome to perform their tasks and respond to their environment?  

To answer these questions, we develop:

– leading-edge omics technologies to study genomic and epigenomic information and its translation into cellular (dys)functions; and

– bioinformatic and machine learning approaches to integrate multiple layers of omics data with environmental, experimental, and clinical measurements. 

Read about our publications and projects.

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