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November
2017
8
Kun Zhang, PhD
New York Genome Center
4:00 PM — 5:30 PM

Affiliation: University of California at San Diego, Jacobs School of Engineering

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About

Affiliation: University of California at San Diego, Jacobs School of Engineering

 

Professional Title: Professor, Bioengineering

 

Talk Title: Integrative single-cell analysis by transcriptional and chromatin states in the human adult brain

 

Talk Abstract: Detailed characterization of the cell types comprising the highly complex human brain is essential to understanding function. Such tasks require highly scalable experimental approaches to examine different aspects of the molecular state of individual cells, as well as the computational integration to produce unified cell state annotations. To this end, Dr. Zhang’s Lab has acquired nuclear transcriptome and DNA accessibility maps in tens of thousands of single cells from the human adult brain. This has led to the best-resolved human neuronal subtypes to date, identification of a majority of the non-neuronal cell types, as well as the cell-type specific nuclear transcriptome and DNA accessibility maps. Integrative chromatin/transcriptome analysis allowed us to identify transcription factors and regulatory elements shaping the state of different brain cell types, and to map genetic risk factors of human brain common diseases to specific pathogenic cell types and subtypes.

 

Biography: Dr. Kun Zhang is a Professor in the Department of Bioengineering at the University of California at San Diego (UCSD). After obtaining his PhD in Human and Molecular Genetics from the University of Texas at Houston/MD Anderson Cancer Center, he received his post-doctoral training with George Church at Harvard Medical School. He joined the faculty at the UCSD Jacobs School of Engineering in 2007. His current group is developing genome technologies based on single-molecule sequencing, single-cell manipulation/amplification, and chip-based synthesis and manipulation of complex DNA libraries. They are applying these novel technologies to the analyses of stem cells, human brain and other organs.

 

To read more about Dr. Kun Zhang’s research, please visit: Google Scholar – Kun Zhang, PhD

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