Prof.Rong Fan

Issuing time:2021-09-17 00:57

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Name:

Rong Fan

Title:

Professor

Affiliation:

Department of Biomedical Engineering

Yale University

Email:

rong.fan@yale.edu

100-word biography:

Dr. Rong Fan is Professor of Biomedical   Engineering at Yale University. He received a B.S. in Applied Chemistry from   University of Science and Technology in China, a Ph.D. in Chemistry from the University   of California at Berkeley, and then completed the postdoctoral training at   California Institute of Technology,prior to   launching his own research laboratory at Yale University in 2010. His current   interest is focused on developing microtechnologies for single-cell and   spatial omics profiling in order to interrogate functional cellular   heterogeneity and inter-cellular signaling network in human health and   disease. He is the recipient of numerous awards including the National Cancer   Institute’s Howard Temin Career Transition Award, the NSF CAREER Award, and   the Packard Fellowship for Science and Engineering. He is a Fellow of the   American Institute for Medical and Biological Engineering (AIMBE) and elected   a senior member of the National Academy of Inventors (NAI).   

Title:

Spatial Multi-Omics   Sequencing at Tissue Scale and Cellular Level

Abstract:

Although cellular heterogeneity has been characterized   with single-cell sequencing, it needs to assessed in the tissue context   defined by spatially resolved molecular profiles to better understand the   role of spatial heterogeneity in biological, physiological and pathological   processes. In this talk, I will be discussing a new technology platform   called DBiT-seq –   microfluidic Deterministic Barcoding in Tissue for spatial multi-omics   sequencing (DBiT-seq). Parallel microfluidic   channels (10μm, 25μm, or 50μm in width) are used to deliver molecular   barcodes to the surface of a formaldehyde fixed tissue slide in a spatially   confined manner. Crossflow of two sets of barcodes A1-A100 and B1-B100   followed by ligation in situ yields   a 2D array of tixels (tissue pixels), each containing a unique combination of   full barcode AiBj (i=1-100, j=1-100), which can be resolved by paired-end NGS   sequencing to reconstruct a spatial map of biomolecules in tissue. First, I   will show the application to spatial   transcriptome and protein mapping of whole mouse embryo tissues that revealed all major tissue   types in early organogenesis, brain microvascular networks, and a   single-cell-layer of melanocytes lining an optical vesicle. Second, I will   discuss spatial transcriptome mapping of FFPE tissue slides including   archival human tumor specimens. Third, I will show the power of integration   with single-cell RNA-seq for cell type annotation in relation to spatial   location in tissue. Fourth, I will discuss DBiT as a platform technology to enable   spatial epigenome sequencing (spatial-ATAC-seq, spatial-CUT&Tag, etc) at   single cell level. Finally, emerging opportunities and future perspectives in   spatial omics will be discussed with regard to the impact on biomarker   discovery and therapeutic development.       

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