Single-Cell RNA-Seq by Multiple Annealing and Tailing-Based Quantitative Single-Cell RNA-Seq (MATQ-Seq)

Kuanwei Sheng; Chenghang Zong

doi:10.1007/978-1-4939-9240-9_5

Single-Cell RNA-Seq by Multiple Annealing and Tailing-Based Quantitative Single-Cell RNA-Seq (MATQ-Seq)

Methods Mol Biol. 2019:1979:57-71. doi: 10.1007/978-1-4939-9240-9_5.

Authors

Kuanwei Sheng¹, Chenghang Zong²

Affiliations

¹ Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
² Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. Chenghang.Zong@bcm.edu.

PMID: 31028632
DOI: 10.1007/978-1-4939-9240-9_5

Abstract

Single-cell technologies have emerged as advanced tools to study various biological processes that demand the single cell resolution. To detect subtle heterogeneity in the transcriptome, high accuracy and sensitivity are still desired for single-cell RNA-seq. We describe here multiple annealing and dC-tailing-based quantitative single-cell RNA-seq (MATQ-seq) with ~90% capture efficiency. In addition, MATQ-seq is a total RNA assay allowing for detection of nonpolyadenylated transcripts.

Keywords: Biotechnology; Library preparation; RNA-seq; Single cell; Total RNA; Transcriptomics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
DNA, Complementary / genetics
Gene Expression Profiling / methods*
Gene Library
Humans
RNA / genetics*
Reverse Transcription
Sequence Analysis, RNA / methods*
Single-Cell Analysis / methods*
Transcriptome*

Substances

DNA, Complementary
RNA