Analysis of microRNA Regulation in Single Cells

Wendao Liu; Noam Shomron

doi:10.1007/978-1-0716-1103-6_18

Analysis of microRNA Regulation in Single Cells

Wendao Liu, Noam Shomron^*

^*Corresponding author for this work

Cell and Developmental Biology

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

MicroRNAs (miRNAs) regulate gene expression by binding to mRNAs. Consequently, they reduce target gene expression levels and expression variability, also known as “noise.” Single-cell RNA sequencing (scRNA-seq) technology has been used to study miRNA and mRNA expression in single cells, and has demonstrated its strength in quantifying cell-to-cell variation. Here we describe how to investigate miRNA regulation using data with both mRNA and miRNA expression in single cell format. We show that miRNAs reduce the expression levels and also expression noise of target genes in single cells. Finally, we also discuss potential improvements in experimental design and computational analysis of scRNA-seq in order to reduce or partition the technical noise.

Original language	English
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	339-354
Number of pages	16
DOIs	https://doi.org/10.1007/978-1-0716-1103-6_18
State	Published - 2021

Publication series

Name	Methods in Molecular Biology
Volume	2243
ISSN (Print)	1064-3745
ISSN (Electronic)	1940-6029

Keywords

Gene expression level
Gene expression noise
Single-cell data denoising
Single-cell sequencing
miRNA regulation

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10.1007/978-1-0716-1103-6_18

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Analysis of microRNA Regulation in Single Cells

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