IOB has a well-equipped bioinformatics and experimental facilities to carry out research in molecular biology, cell culture, bioinformatics, genomics and proteomics. The focus is on combining experimentation with computational biology to understand biological systems and human diseases.
We study gene expression profiles, genome copy number variations, microRNAs, and alternative splicing of genes using cutting edge technologies. We carry out molecular biology experiments including cell culture, DNA and RNA isolation, cloning and quantitative real time PCR to study signaling pathways in various cancers. To translate discoveries from bench to bedside, tissue microarrays are used for validation of candidate molecules.
We use quantitative proteomics approaches for the identification of candidate biomarkers in human diseases and infectious microorganisms. We also routinely employ high resolution proteomics for proteogenomic characterization of various organisms. State-of-the art mass spectrometry facility at IOB include an LTQ Orbitrap Velos mass spectrometer which is a hybrid Fourier Transform mass spectrometer that combines features of linear ion trap and orbitrap mass analyzer. Collaborations with Agilent technologies have enabled the institute to procure an accurate mass analyzer QTOF mass spectrometer for state of the art mass spectrometric work. Apart from mass spectrometry, facilities to carry out other proteomic experiments like yeast-two hybrid, GST-pull down and western blotting are also available at IOB. These platforms help us to study cell signaling molecules and their interactions in cancer and other diseases.
With a vision of providing a platform for future Systems Biology approaches, IOB was founded in the year 2002. We developed several highly curated databases on various aspects of ?Omics? data, which can act as essential ingredients for discovery themes which use Systems Biology. We have successfully developed highly curated protein databases such as Human Protein Reference Database (HPRD) and Plasma Proteome Database. We have developed several resources for gene expression data pertaining to cancers and primary immunodeficiency diseases in general, breast cancer and pancreatic cancer in particular. We also curated information about signaling pathways in human and developed resource call NetPath. We are currently working on the development of Mouse Protein Reference Database and Mycobacterium Tuberculosis Reference Database. Recently, we have developed community annotation platform for proteomics investigators called Human Proteinpedia. We are also developing mass spectrometry data analysis pipeline for proteogenomic investigations.