Issue 5, 2017

Highly specific imaging of mRNA in single cells by target RNA-initiated rolling circle amplification

Abstract

Detection of single-cell gene expression with high spatial and sequence resolution is a key challenge in single cell biology. Herein, we propose a robust method for the direct detection of mRNA, termed target RNA-initiated rolling circle amplification, which enables imaging of mRNA with single-nucleotide and near-single-molecule resolution in single cells. By utilizing a Splint R ligase capable of efficiently catalyzing the ligation of a padlock probe by the target RNA, the method can enable the efficient detection of mRNA without reverse transcription (detection efficiency over 20%). Meanwhile, attributed to the ligation-based recognition process, the method confers specificity sufficient to genotype mRNAs with one-nucleotide variations. The method has enabled the spatial mapping and correlation analysis of gene expression in single cells which could help us to elucidate the gene functions and regulatory mechanisms. This method offers an mRNA profiling ability with high spatial resolution and sequence specificity, thus is expected to be a single-cell analysis platform for not only investigating gene expression, but also potentially for analyzing single-nucleotide variants or mRNA alternative splicing at single-cell level.

Graphical abstract: Highly specific imaging of mRNA in single cells by target RNA-initiated rolling circle amplification

Supplementary files

Article information

Article type
Edge Article
Submitted
20 Jan 2017
Accepted
05 Mar 2017
First published
07 Mar 2017
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2017,8, 3668-3675

Highly specific imaging of mRNA in single cells by target RNA-initiated rolling circle amplification

R. Deng, K. Zhang, Y. Sun, X. Ren and J. Li, Chem. Sci., 2017, 8, 3668 DOI: 10.1039/C7SC00292K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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