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