Dr. Pandy’s work includes:
Signal transduction and cancer biology - Cell surface receptors transmit signals to the interior of the cell upon binding to a ligand. He and his team have cloned a number of signaling molecules that are involved in signal transduction through receptor tyrosine kinases and cytokine receptors. Combining molecular biology and quantitative proteomics including SILAC and iTRAQ, the laboratory is dissecting these signaling pathways in various malignancies including lung cancer, breast cancer, pancreatic cancer, gastric cancer, cholangiocarcinoma and leukemias.
MiRNA biology: microRNAs have been shown to be critical for post-transcriptional regulation of the genome. By binding to mRNAs, miRNAs can modulate translation through mechanisms that are not yet fully elucidated. Using quantitative proteomics, his laboratory has successfully identified potential targets of microRNAs miR-21 and miR-143. They also generated SILAC mice to study the function of Dicer and its impact on global proteomic changes.
Mass spectrometry: High-resolution mass spectrometry has become a core technology for large scale analysis of the proteome, lipidome and metabolome. Targeted analysis of molecules of interest is an emerging technology for accurate quantitative analyses by applying MRM (multiple reaction monitoring) on triple quadrupole mass spectrometer. The Pandey Lab has a special interest in developing mass spectrometric methods for highly sensitive and accurate detection of molecules.
Human genome analysis and bioinformatics: His research in bioinformatics mainly involves functional annotation of genomes, creation of databases, comparative genomics and experimental approaches for validating computational predictions. In collaboration with the Institute of Bioinformatics in Bangalore, India, the Pandey Lab has developed several resources focusing on human proteins and pathways: Human Protein Reference Database catalogs all human proteins, their modular domain structures and interaction partners. NetPath is a curated resource of signal transduction pathways in humans. They have also initiated a community resource, Human Proteinpedia, to share and integrate protein data in humans.
- Nanjappa, V., Thomas, J. K., Marimuthu, A., Muthusamy, B., Radhakrishnan, A., Sharma, R., Khan, A. A., Balakrishnan, L., Sahasrabuddhe, N., Kumar, S., Jhaveri, B. N., Sheth, K. V., Khatana, R. K., Shaw, P. G., Srikanth, S. M., Mathur, P. P., Shankar, S., Nagaraja, D., Christopher, R., Mathivanan, S., Raju, R., Sirdeshmukh, R., Chatterjee, A., Simpson, R. J., Harsha, H. C., Pandey, A. and Prasad, T. S. K. “Plasma Proteome Database as a resource for proteomics research: 2014 update.” Nucleic Acids Research, 2014, 42, D959-D965.
- Balakrishnan, L., Bhattacharjee, M., Ahmad, S., Nirujogi, R. S., Renuse, S., Subbannayya, Y., Marimuthu, A., Srikanth, S. M., Raju, R., Dhillon, M., Kaur, N., Jois, R., Vasudev, V., Ramachandra, Y. L., Sahasrabuddhe, N. A., Prasad, T. S. K., Mohan, S., Gowda, H., Shankar, S. and Pandey, A. “Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients.” Clinical Proteomics, 2014. In press.
- Zhong, J., Sharma, J., Raju, R., Palapetta, S. M., Prasad, T. S. K., Huang, T. C., Yoda, A., Tyner, J. W., van Bodegom, D., Weinstock, D. M., Ziegler, S. F. and Pandey, A. “TSLP signaling pathway map: A platform for analysis of TSLP mediated signaling.” Database, 2014. In press.
- Selvan, L. D. N., Kaviyil, J. E., Nirujogi, R. S., Muthusamy, B., Puttamallesh, V. N., Subbannayya, T., Syed, N., Radhakrishnan, A., Kelkar, D. S., Ahmad, S., Pinto, S. M., Kumar, P., Madugundu, A. K., Nair, B., Chatterjee, A., Pandey, A., Ravikumar, R., Gowda, H. and Prasad, T. S. K. “Proteogenomic analysis of pathogenic yeast Cryptococcus neoformans using high resolution mass spectrometry.” Clinical Proteomics, 2014. In press.
- Sreenivasamurthy, S. K., Dey, G., Ramu, M., Kumar, M., Gupta, M. K., Mohanty, A. K., Harsha, H. C., Sharma, P., Kumar, N., Pandey, A., Kumar, A. and Prasad, T. S. K. “A compendium of molecules involved in vector-pathogen interactions pertaining to malaria.” Malaria Journal, 2013, 12, 216.
The Pandey Lab is a systems biology lab that combines molecular biology, analytical chemistry and computational biology with various "-omics" technologies, including genomics and proteomics, to understand signaling pathways and to identify therapeutic targets and biomarkers in a number of cancers.