SEP 26, 2019 1:30 PM PDT

The Visium Spatial Gene Expression Solution: Gene Expression with Spatial Context

Presented at: Cell Biology 2019
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Director - Consumables, Product Development, 10x Genomics
    Biography
      Zach received his B.A. in Biological Sciences from Cornell University and a PhD in Microbiology with a Designated Emphasis in Biotechnology from UC Davis. His postdoctoral research focused on developing novel RNA-Seq protocols and methods to use RNA-Seq in the study of host-pathogen interactions. Since joining 10x, Zach has worked on the launch of GEMCode, Single Cell 3' v1, v2, and v3, Single Cell 5'/V(D)J, Single Cell-CNV, and Single Cell-ATAC. He is currently leading the development of the Visium Spatial Gene Expression Solution.

    Abstract

    RNA-Seq has been used for the past decade to gain significant insights into gene expression. Using bulk methods however only allow for an understanding of the average gene expression within a tissue. Single cell RNA-seq gives a much more insightful picture of what is happening at the cellular level, but by dissociating tissues into their cellular components valuable information about tissue organization and cell to cell interactions are lost. The Visium Spatial Gene Expression Solution provides researchers with the ability to analyze gene expression across histological tissue sections using unbiased, spatially barcoded, mRNA capture probes. This discovery platform supports the analysis of all polyadenylated transcript and can be used to analyze thousands of genes and tens of thousands of transcripts within a few square microns of tissue. Here we demonstrate the platform’s capabilities to analyze a variety of human and mouse tissues giving deeper insight into the relationships between tissue morphology and gene expression.


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