![]() Dr. Ankur Sharma Ankur Sharma is a NMRC Young Investigator and Research Scientist at Genome Institute of Singapore. He is interested in studying the co-evolution of tumors and their ecosystem under the various selection pressures such as chemo/immunotherapy and metastasis. He obtained his Ph.D. from the Indian Institute of Science, Bangalore. He joined GIS in 2015 and is one of the earlier adopters of single-cell genomics to understand the impact of various selection pressures (chemotherapy/immunotherapy) on evolution and ecosystem of tumors. Major achievements include identification of drug-induced infidelity in the stem-cell hierarchy and its implication in transdifferentiation, building a comprehensive atlas of hepatocellular carcinoma (HCC), and Breast cancer. Ankur is a member of the multidisciplinary Human Cell Atlas (HCA) team to build the liver atlas from development to disease. He is also a member of the 10x Genomics Visium Clinical Translational Research Network (CTRN). In 2019, he was awarded the NMRC Young Investigator fellowship to work on the mechanism of immune escape in triple-negative breast cancers. Recently, he was awarded Cancer Transcriptome Atlas Grant from NanoString to explore the spatial heterogeneity of the tumor ecosystem. From early 2021, he will start as Laboratory Head at Harry Perkins Institute of Medical Research and women’s cancer senior fellow/Senior lecture at Curtin Health Innovation Research Institute (CHIRI), Curtin University, Perth, Western Australia. |
Liver dysfunction is associated with diseases ranging from metabolic disorders to hepatocellular carcinomas (HCC). We employed single-cell RNA-sequencing to extensively characterize the cellular landscape (~212,000 cells) of the human liver, from development to disease. In this webinar, Ankur will share the insights from scRNA-seq into the heterogeneity of TME and the dynamics of cell-cell interactions in the healthy and diseased ecosystem. Currently, we are living through an unprecedented global pandemic COVID-19. In this webinar, Ankur will share the implication of scRNA-seq atlas in identifying cell types potentially susceptible to SARS-CoV-2 infection.
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