Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 57,313 bioRxiv papers from 263,927 authors.

MULTI-seq: Scalable sample multiplexing for single-cell RNA sequencing using lipid-tagged indices

By Christopher S McGinnis, David M Patterson, Juliane Winkler, Marco Y Hein, Vasudha Srivastava, Daniel N Conrad, Lyndsay M Murrow, Jonathan S Weissman, Zena Werb, Eric D. Chow, Zev J Gartner

Posted 08 Aug 2018
bioRxiv DOI: 10.1101/387241 (published DOI: 10.1038/s41592-019-0433-8)

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.

Download data

  • Downloaded 6,243 times
  • Download rankings, all-time:
    • Site-wide: 240 out of 57,313
    • In genomics: 68 out of 4,011
  • Year to date:
    • Site-wide: 67 out of 57,313
  • Since beginning of last month:
    • Site-wide: 278 out of 57,313

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News