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Population Genomics: The major focus is to decipher the genomic architectures of common diseases and to understand the genetic basis of inter-individual variability in response to drugs and vaccines.
miRNA mediated regulation in patients with chronic hepatitis B virus infection in immunotolerant and immunoactive phases: Understanding of the factors involved in Hepatitis B virus replication could lead to identification of potential target(s) for HBV therapeutic interventions for controlling disease progression. We aim to identify host factors and their miRNA mediated regulatory aspects that may have a significant affect on viral translational efficiency which ultimately determine the course of progression of the HBV mediated disease.
Profiling the regulatory mechanisms in the viral and host genomes in Hepatitis B or Hepatitis C virus infections - A Functional Genomics Approach: Understanding the expression signatures, DNA methylation and micro RNA mediated gene expression control in determining the progression of disease in HBV and HCV infected individuals. The study also aims to explore the host factors involved in therapy non-responsiveness by a few of these individuals.
Rapid Genotypic and mutational analysis of clinical HBV isolates using high throughput microarray technology and correlation with disease presentation, severity and outcomes: Whole genome profiling using microarray will enable not only genotype identification, but also delineation of mixed and recombinant types, in addition to identification of various mutations on a single chip in a single reaction set up. This information could be useful for clinicians in disease prognosis and patient management. The current project aims to design and develop such a microarray for HBV isolate characterization in the Indian population.
Genetics of preeclampsia: Association studies involving genes in biological relevant pathways in Preeclampsia and eclampsia and utilizing placental gene expression profiling to study the pathophysiology, in developing gene signatures towards predicting the disease in the first trimester for effective surveillance and management.
Non-invasive strategies to detect mitochondrial genome variations: The study will be aimed towards the creation of a database of known/novel genome variations in the sample population. It will explore the significance of tissue specificity and sensitivity towards non-invasive strategies in the detection of mitochondrial genome variation. Profiling the mitochondrial DNA variations (SNPs, point and length Heteroplasmy, CNVs etc) will be done using viable platforms in these samples.
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