Time: Monday, May 23, at 16:00 BST / 17:00 CEST / 11:00 EDT / 08:00 PDT
Event Overview:
The lifespan of mouse-inbred strains varies dramatically, indicating the genetic regulation of aging. To reveal the genetic mechanisms of aging, Dr. Rong Yuan and his team measured the lifespan of 32 inbred strains and longitudinally investigated the development and aging related phenotypes. The results suggest that the age of vaginal patency (AVP), a bio-marker of female sexual maturation (FSM), and the circulating IGF1 level, can be used as bio-markers of aging. By quantitative trait loci (QTL) analysis, combining bioinformatic methods, a group of novel aging related genes were identified, including nuclear receptor interacting protein 1 (NRIP1). Pathologic studies revealed that NRIP1 deletion could suppress the initiation and progress of breast cancer. Next-generation sequencing and single-cell RNA sequencing could significantly improve the ability to identify QTL genes and discover the molecular mechanisms of cancer.
In this webinar, join Dr. Rong Yuan and Shuyun Ding as they share how to identify novel aging-related genes and their pathological role in cancer. Plus, discover how to improve your research by using singe cell RNA sequencing and next-generation sequencing (NGS), and explore detailed applications for single-cell RNA sequencing.
Key Learning Objective:
● Discover how to identify novel aging-related genes and their pathological role in cancer
● Explore the principles and applications of next-generation sequencing
● Learn more about detailed applications for single-cell RNA sequencing
Presenters Biography:
Rong Yuan
Associate Professor, SIU-School of Medicine
Rong Yuan obtained his doctoral degree and trained as a plastic surgeon in China. After postdoctoral training at the University of Florida and The Jackson laboratory, Yuan stayed in the research field to explorer genetic and molecular mechanisms of aging and age-related diseases. During the past 17 years, as a Principle Investigator at The Jackson Laboratory and Southern Illinois University School of Medicine, Yuan’s research has gone through several stages, using genetic and bioinformatic methods to identify novel aging-related genes, generating mouse models to verify their biological effects on aging, investigating their pathologic roles, and identifying novel therapeutic targets for aging related diseases.
Shuyun Ding
Technical Support Engineer, Vazyme
Shuyun Ding is a Technical Support Engineer with Vazyme, where she assists and resolves technical problems and operational issues in next-generation sequencing.
