Learn how sample multiplexing can further empower your single cell experiments.
Wednesday, December 9, 2020
Speakers: Kenneth Hu, UCSF, USA & Chris McGinnis, UCSF, USA
Sample multiplexing facilitates scRNA-seq by reducing costs and identifying artifacts such as cell doublets and batch effects. We will discuss MULTI-Seq a universal and scalable sample barcoding strategy that utilizes lipid-tagged indices for single-cell and single-nucleus RNA sequencing. MULTI-seq reagents can barcode any cell type or nucleus from any species with an accessible plasma membrane. The method involves minimal sample processing, thereby preserving cell viability and endogenous gene expression patterns. We will further discuss the extension of lipid tagged indices to analyze samples while preserving spatial information called ZipSeq that uses patterned illumination and photocaged oligonucleotides to serially print barcodes (Zipcodes) onto live cells within intact tissues and discover spatial patterns in cell type distributions and gene expression.