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[Recorded Webinar and Slides are Available Now!] dkNET Webinar "T Cell Antigen Discovery: Experimental and Computational Approaches"
dkNET New Investigator Pilot Program in Bioinformatics Awardee Webinar Series
Co-Hosted with Human Islet Research Network (HIRN)
*Watch recorded webinar here: https://youtu.be/6vnpI6RXmBs
*Webinar Slides: https://www.slideshare.net/dkNET/dknethirn-webinar-t-cell-antigen-discovery-experimental-and-computational-approaches-042822
Join dkNET Webinar on Wednesday, April 27, 2022, 9 am - 10 am PDT
Presenter: Alok V. Joglekar, Ph.D.Assistant Professor, Center for Systems Immunology and Department of Immunology, University of Pittsburgh School of Medicine
Abstract
T cells are key players in many autoimmune diseases including Type 1 Diabetes. T cell responses are highly antigen specific by virtue of their T cell receptors (TCRs), that recognize epitopes on target cells. The enormous diversity of TCRs in an immune response poses a challenge in studying them, particularly regarding their antigenic specificity. Several experimental approaches have been developed to identify T cell specificities, with a recent surge in cell-based assays. More recently, computational approaches to predict T cell specificity are being developed and show great promise. This webinar will provide an overview of the experimental and computational approaches to identify T cell antigens. Furthermore, we will highlight the research performed in the Joglekar lab towards applying these approaches for auto-antigen discovery in Type 1 Diabetes. Finally, we will project what the future of these approaches may be, particularly for studying autoimmune diseases.Dial-in Information:
https://cityofhope.zoom.us/meeting/register/tJcqfu6sqjsrHdD2bCBCL0zAaR82Qb_0YEsE
Upcoming webinars schedule: https://dknet.org/about/webinar
About
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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