Understanding Cells in Context: Spatial Transcriptomics 2022

The NHGRI and the TDCC hosted a live, virtual Technology Area Forum on spatial transcriptomics May 23rd, 2022. This event is appropriate for both researchers with current interests in genomics as well as learners exploring the field of transcriptomics.

TIMESTAMPS:
0:07 Introduction to Spatial Transcriptomics - Fei Chen, Ph.D
18:47 NGS-approaches to Spatial Transcriptomics - Evan Macosko, M.D., Ph.D
35:56 A Practical Guide to Representative Image-based Spatial Transcriptomics Technologies - Siyuan (Steven) Wang, Ph.D
1:20:29 Statistical Analysis Reveals RNA Isoform Expression is Spatially Regulated - Julia Salzman, Ph.D.
1:39:24 Understanding Transcriptional Cell State Changes within Spatial Contexts - Lyla Atta

Spatial transcriptomics provides the ability to see the comprehensive gene expression patterns of individual cells in the natural context of their locations in tissues. Building on single-cell RNA-seq analysis, spatial transcriptomics is opening new ways to study cellular heterogeneity in cancer, development, and immune responses.

Many thanks to:
Drs. Fei Chen and Evan Macosko (Broad Institute),
Julia Salzman (Stanford), and Siyuan (Steven) Wang (Yale), Lyla Atta (Johns Hopkins University), and moderators Sophia Liu (Harvard University) and Dr. William Flynn (The Jackson Laboratory).

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