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May 06, 2021
Sponsored by
Akoya Biosciences

Spatial Multiomics: Analysis Strategies for Enriching Single-Cell Phenotyping Data: Enriching Spatial Proteomic Data with Parallel CITE-seq Analysis Elucidates Multiomic Changes with Aging

GenomeWebinar

Postdoctoral Fellow
Stanford University School of Medicine

This webinar is part 3 of a 4 part webinar series.

Integrating complementary data sets provides a powerful tool to study complex biological processes. This webinar will focus on the use of CODEX (Co-Detection by Indexing) spatial proteomic data in parallel with CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) data to study tissue regeneration and aging.

The integration of CITE-seq data, where antibodies used in the CODEX system are also captured by droplet-based single-cell sequencing, allows for the multiomic projection of transcriptomic information onto the spatial information of the CODEX System. This multi-omic approach enables the study of cell-cell signaling by assessing relationships between cell types across the tissue and provides a deeper understanding of the biology at play in tissue regeneration and aging.

In this talk attendees will:

  • Learn about the use of multiplex imaging to study spatial dynamics of skeletal muscle regeneration and molecular determinants of aging

  • Understand how to design and align CITE-seq experiments to enrich CODEX data

See how to use single-cell resolution spatial transcriptomes to assess cell-cell signaling

About the Series: Spatial Multiomics: Analysis Strategies for Enriching Single-Cell Phenotyping Data

In this multi-part webinar series, our expert speakers will review analytical frameworks and algorithms to integrate imaging-based single-cell spatial phenotyping data with complementary transcriptomic and genomic datasets.

High-plex cell phenotyping methods like single-cell RNA-seq capture the deep cellular heterogeneity of samples, but cell behavior is a function of all that surrounds it. Imaging-based spatial phenotyping platforms enable researchers to visualize and analyze cell diversity, interactive networks, and cellular behavior across whole tissue sections. Both types of data have complementary features, which give researchers the ability to merge information about a cell’s proteome and transcriptome with its single-cell, spatial context.

This webinar series will highlight the latest advances driving integrative multiomics analysis. 

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