Multiplexed Single-Nucleus RNA Sequencing Using Lipid-Oligo Barcodes

Curr Protoc. 2022 Oct;2(10):e579. doi: 10.1002/cpz1.579.

Abstract

This protocol describes a robust pipeline for simultaneously analyzing multiple samples by single-nucleus (sn)RNA-seq. cDNA obtained from each single sample are labeled with the same lipid-coupled oligonucleotide barcode (10X Genomics). Nuclei from as many as 12 individual samples can be pooled together and simultaneously processed for cDNA library construction and subsequent DNA sequencing. While previous protocols using lipid-coupled oligonucleotide barcodes were optimized for analysis of samples consisting of viable cells, this protocol is optimized for analyses of quick-frozen cell samples. The protocol ensures efficient recovery of nuclei both by incorporating high sucrose buffered solutions and by including a tracking dye (trypan blue) during nuclei isolation. The protocol also describes a procedure for removing single nuclei 'artifacts' by removing cell debris prior to single nuclear fractionation. This protocol informs the use of computational tools for filtering poorly labeled nuclei and assigning sample identity using barcode unique molecular identifier (UMI) read counts percentages. The computational pipeline is applicable to either cultured or primary, fresh or frozen cells, regardless of their cell types and species. Overall, this protocol reduces batch effects and experimental costs while enhancing sample comparison. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Labeling cells with lipid oligo barcodes and generating multiplexed single-nucleus RNA-seq libraries Basic Protocol 2: Bioinformatic deconvolution of the multiplexed snRNAseq libraries.

Keywords: lipid oligo barcode; multiplex; nuclei isolation; single-nucleus RNA sequencing.

MeSH terms

  • DNA, Complementary
  • Lipids / genetics
  • Oligonucleotides
  • Sequence Analysis, RNA / methods
  • Sucrose*
  • Trypan Blue*

Substances

  • DNA, Complementary
  • Trypan Blue
  • Sucrose
  • Oligonucleotides
  • Lipids