Jean Fan -- Computational Tools for Spatially Resolved Transcriptomic Data Analysis
Dates: | 17 January 2022 |
Times: | 14:00 - 15:00 |
What is it: | Seminar |
Organiser: | Department of Mathematics |
Who is it for: | University staff, External researchers, Current University students |
Speaker: | Jean Fan |
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(via Zoom)
Join us for this seminar by Jean Fan (Johns Hopkins) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
The talk will be hosted on zoom, please contact carl.whitfield@manchester.ac.uk or igor.chernyavsky@manchester.ac.uk for the zoom link, or sign up to the mailing list.
Abstract: Characterizing cells and their transcriptional states in their spatial context is important for understanding tissue function. To enable such spatially resolved transcriptomic profiling of fixed cells in tissues, recent advances in imaging technologies have enabled high-throughput in situ, targeted transcriptomic profiling of pre-selected RNAs at molecular and single-cell resolution. Similarly, technologies based on spatially resolved RNA capture followed by sequencing have enabled non-targeted, genome-wide transcriptional profiling at the multi-cellular pixel resolution. Such spatially resolved transcriptomics data demand new computational methods to take advantage of this new spatial dimension of information to derive relevant biological insights. Here, I will describe a few recent computational approaches developed in my lab for analyzing spatially resolved transcriptomics data. Overall, we anticipate that such spatially resolved transcriptome profiling technologies coupled with spatial computational analyses could help address a wide array of questions and contribute important fundamental biological insights regarding how tissues are organized in both the healthy and diseased settings.
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Speaker
Jean Fan
Role: Assistant Professor
Organisation: Johns Hopkins University
Travel and Contact Information