ISSN: 2574-0407
+44-77-2385-9429
Amit Kumar Tyagi
Associate Professor, Department of Experimental Therapeutics
The University of Texas MD Anderson Cancer, USA
Dr Amit Kumar Tyagi received his PhD degree in Applied Microbiology from Indian Institute of Technology Delhi, New Delhi, India where he studied the antimicrobial potential of different phytochemicals against food spoiling and disease causing microorganisms in in-vivo and in-vitro food models. During his PhD, he was awarded for European grant ‘Erasmus Mundus Corporation Window’ for doing part of his thesis work in University of Bologna, Italy. His work at The university of Texas MD Anderson Cancer Center revealed that TNF exhibit pro-inflammatory activities and may mediate carcinogenesis through the activation of a transcription factor NF-κB. The gene products regulated by NF-κB have now been linked to cellular transformation, tumor cell survival, proliferation, invasion, angiogenesis, metastasis, chemoresistance, and radioresistance. Mostly carcinogens, tumor promoters, growth factors, inflammatory agents, chemotherapeutic agents, radiation, viruses, bacteria, cigarette smoke, alcohol and other life style factors activate NF-κB and another transcription factor STAT3. Dr Tyagi’s research group is working on safe and multi-targeting chemopreventive agents derived from natural resources suppress NF-κB and STAT3 pathway and suppress tumorigenesis.
Food Microbiology and Food Chemistry, SPME-GCMS, Study of transcription factors NF-kappaB and STAT3 signaling pathway, death receptor pathway, extrinsic and intrinsic pathway of apoptosis, anticancer properties of natural compounds in both in vitro and nude mouse models, study of cell cycle by flow cytometry, study of oxidative stress in animal models, antioxidants, study of genotoxicity by chromosomal aberration and micronuclei assay, study of gene expression by using western blotting and RT-PCR, DNA binding assay by EMSA, reporter gene expression, Immunohistochemical analysis, studies on both in vivo and in vitro experimental models, SEM, TEM, AFM.