Deciphering Tissue Complexity: Comprehensive Multi-omic Profiling with the SH800 Cell Sorter and ResolveOME™ Amplification

Deciphering somatic mosaicism in healthy tissues and clonal diversity in tumors necessitates single-cell analysis. High-quality genomic and transcriptomic data at the single-cell level depends on the efficient isolation of individual cells, coupled with robust amplification techniques upstream of sequencing.

 

In this webinar, we present a methodology using the SH800 Cell Sorter and ResolveOME™ multi-omic single-cell/single-nucleus amplification for comprehensive genomic analysis. Studies using this combinatorial approach to analyze the transcriptional states and mutations in invasive breast cancer cells and to study copy number variation (CNV) profiles from primary neurons, murine brain, and cultured cell lines will be presented.

 

Overall, the approach of integrating cell and nuclei sorting with multi-omic analysis enables the critical pairing of genotype with phenotype and provides critical insights into tumor evolution and somatic mosaicism in normal tissues.

 

Learning Objectives