RT Journal Article
SR Electronic
T1 MULTI-seq: Scalable sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 387241
DO 10.1101/387241
A1 Christopher S. McGinnis
A1 David M. Patterson
A1 Juliane Winkler
A1 Marco Y. Hein
A1 Vasudha Srivastava
A1 Daniel N. Conrad
A1 Lyndsay M. Murrow
A1 Jonathan S. Weissman
A1 Zena Werb
A1 Eric D. Chow
A1 Zev J. Gartner
YR 2018
UL http://biorxiv.org/content/early/2018/08/08/387241.abstract
AB We describe MULTI-seq: A rapid, modular, and universal scRNA-seq sample multiplexing strategy using lipid-tagged indices. MULTI-seq reagents can barcode any cell type from any species with an accessible plasma membrane. The method is compatible with enzymatic tissue dissociation, and also preserves viability and endogenous gene expression patterns. We leverage these features to multiplex the analysis of multiple solid tissues comprising human and mouse cells isolated from patient-derived xenograft mouse models. We also utilize MULTI-seq’s modular design to perform a 96-plex perturbation experiment with human mammary epithelial cells. MULTI-seq also enables robust doublet identification, which improves data quality and increases scRNA-seq cell throughput by minimizing the negative effects of Poisson loading. We anticipate that the sample throughput and reagent savings enabled by MULTI-seq will expand the purview of scRNA-seq and democratize the application of these technologies within the scientific community.