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Activity Number: 318 - Advances on the Analysis of Single-Cell Sequencing Data
Type: Invited
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract #326646 Presentation
Title: Modeling Allele-Specific Gene Expression by Single-Cell RNA Sequencing
Author(s): Yuchao Jiang* and Nancy Zhang and Mingyao Li
Companies: University of North Carolina, Chapel Hill and University of Pennsylvania and University of Pennsylvania
Keywords: single-cell RNA sequencing; expression stochasticity; allele-specific expression; transcriptional bursting; cis and trans transcriptional control; technical variability

Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing (scRNA-seq) allows the comparison of expression distribution between the two alleles of a diploid organism and the characterization of allele-specific bursting. Here, we propose SCALE to analyze genome-wide allele-specific bursting, with adjustment of technical variability. SCALE detects genes exhibiting allelic differences in bursting parameters and genes whose alleles burst non-independently. We apply SCALE to mouse blastocyst and human fibroblast cells and find that cis control in gene expression overwhelmingly manifests as differences in burst frequency.

Authors who are presenting talks have a * after their name.

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