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Single-Cell Allele-Specific Gene Expression Analysis.

Meichen Dong1, Yuchao Jiang2,3,4

  • 1Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.

Methods in Molecular Biology (Clifton, N.J.)
|February 14, 2019
PubMed
Summary
This summary is machine-generated.

We introduce SCALE, a new method for analyzing allele-specific gene expression using single-cell RNA sequencing. SCALE reveals how gene expression differs between alleles and how they coordinate their activity.

Keywords:
Allele-specific expressionSingle-cell RNA sequencingTechnical variabilityTranscriptional bursting

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Traditional bulk RNA sequencing averages gene expression, masking allele-specific differences.
  • Single-cell RNA sequencing (scRNA-seq) enables the study of allele-specific expression and bursting kinetics at a cellular level.

Purpose of the Study:

  • To develop a robust bioinformatic and statistical framework, SCALE, for comprehensive allele-specific gene expression analysis using scRNA-seq data.
  • To enable genome-wide estimation of allelic bursting kinetics, accounting for technical biases and biological factors like cell size.

Main Methods:

  • SCALE employs advanced bioinformatic and statistical approaches to analyze scRNA-seq data for allele-specific expression.
  • The framework estimates gene bursting kinetics at the allelic level, incorporating corrections for technical noise and cell-specific variations.

Main Results:

  • SCALE successfully estimates genome-wide allelic bursting kinetics.
  • The framework identifies genes with distinct bursting patterns between alleles and those with non-independent allelic bursting.

Conclusions:

  • SCALE provides a powerful tool for dissecting allele-specific gene expression and bursting dynamics from scRNA-seq data.
  • This method facilitates a deeper understanding of gene regulation at the allelic level in single cells, as demonstrated on a mouse blastocyst dataset.