Dr Yunshun Chen - Bioinformatics division

Dr Yunshun Chen - Bioinformatics division

Location: 
Online
Start Time: 
Wed, 23/06/2021 - 1:00pm
End Time: 
Wed, 23/06/2021 - 2:00pm

WEHI Wednesday Seminar hosted by Professor Gordon Smyth

 

Dr Yunshun Chen

Senior Research Officer - Smyth Lab, Bioinformatics division - Computational Biology Theme


 

Single cell transcriptome atlases of mouse and human mammary gland

 

 

Join via TEAMS

Including Q&A session


 

 

Breast cancer has become the most diagnosed cancer in women. In the last decade we have been working on transcriptomic profiles of human and mouse mammary gland using the next generation sequencing platform. Now as the single-cell technology evolves, we are able to gain further insights into cellular diversity within the gland. In this talk, I will present two single cell transcriptome atlases of mouse and human mammary gland. For mouse, we profiled ~100,000 single cells from nine different developmental stages spanning late embryogenesis, early postnatal, prepuberty, adult, mid-pregnancy, late-pregnancy, and post-involution in order to understand how cellular diversity changes during mammary ontogeny. For human, we determined the single cell transcriptomes of ~430,000 cells encompassing normal breast, preneoplastic BRCA1+/– tissue, the major breast cancer subtypes, and pairs of tumours and involved lymph nodes to examine global changes in breast heterogeneity across different states. The two comprehensive cell atlases provide a high-resolution map of cell diversity within the mammary gland and represent valuable frameworks for future studies.

 

Dr Yunshun Chen obtained his BSc (Hons) in mathematics and statistics at the University of Melbourne in 2009, followed by his PhD in statistical bioinformatics in 2014. Since then, he has been working as a post-doctoral researcher in the Smyth Laboratory at WEHI Bioinformatics Division. His research focuses on differential expression analysis of the next generation sequencing data, as well as the single-cell RNA-seq analysis. He is one of the authors of the popular edgeR package for analyzing gene expression sequencing data. Over the past few years, he has been working closely with WEHI ACRF Cancer Biology and Stem Cells Division on breast cancer research.

 

All welcome!