Rapid and sensitive single-cell RNA sequencing with SHERRY2

BMC Biol. 2022 Sep 30;20(1):213. doi: 10.1186/s12915-022-01416-x.

Abstract

Background: Prevalent single-cell transcriptomic profiling (scRNA-seq) methods are mainly based on the synthesis and enrichment of full-length double-stranded complementary DNA. These approaches are challenging to generate accurate quantification of transcripts when their abundance is low or their full-length amplifications are difficult.

Results: Based on our previous finding that Tn5 transposase can directly cut-and-tag DNA/RNA hetero-duplexes, we present SHERRY2, a specifically optimized protocol for scRNA-seq without second-strand cDNA synthesis. SHERRY2 is free of pre-amplification and eliminates the sequence-dependent bias. In comparison with other widely used scRNA-seq methods, SHERRY2 exhibits significantly higher sensitivity and accuracy even for single nuclei. Besides, SHERRY2 is simple and robust and can be easily scaled up to high-throughput experiments. When testing single lymphocytes and neuron nuclei, SHERRY2 not only obtained accurate countings of transcription factors and long non-coding RNAs, but also provided bias-free results that enriched genes in specific cellular components or functions, which outperformed other protocols. With a few thousand cells sequenced by SHERRY2, we confirmed the expression and dynamics of Myc in different cell types of germinal centers, which were previously only revealed by gene-specific amplification methods.

Conclusions: SHERRY2 is able to provide high sensitivity, high accuracy, and high throughput for those applications that require a high number of genes identified in each cell. It can reveal the subtle transcriptomic difference between cells and facilitate important biological discoveries.

Keywords: RNA-seq; Single cell; Tn5 transposase.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • DNA
  • DNA, Complementary / genetics
  • DNA, Complementary / metabolism
  • Gene Expression Profiling* / methods
  • High-Throughput Nucleotide Sequencing / methods
  • RNA / genetics
  • Sequence Analysis, RNA / methods
  • Single-Cell Analysis* / methods
  • Transcription Factors / genetics

Substances

  • DNA, Complementary
  • Transcription Factors
  • RNA
  • DNA