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Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Authors: Anna S. E. Cuomo; Daniel D. Seaton; Davis J. McCarthy; Iker Martinez; Marc Jan Bonder; Jose Garcia-Bernardo; Shradha Amatya; +38 Authors

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Abstract

Abstract Recent developments in stem cell biology have enabled the study of cell fate decisions in early human development that are impossible to study in vivo. However, understanding how development varies across individuals and, in particular, the influence of common genetic variants during this process has not been characterised. Here, we exploit human iPS cell lines from 125 donors, a pooled experimental design, and single-cell RNA-sequencing to study population variation of endoderm differentiation. We identify molecular markers that are predictive of differentiation efficiency of individual lines, and utilise heterogeneity in the genetic background across individuals to map hundreds of expression quantitative trait loci that influence expression dynamically during differentiation and across cellular contexts.

Countries
Denmark, United Kingdom, Australia, United Kingdom
Keywords

Male, 570, /631/532/2064/2158, Science, Induced Pluripotent Stem Cells, Quantitative Trait Loci, /631/208/729/743, /45/43, 610, Gene Expression, Article, Cell Line, /38/91, Genetic Heterogeneity, Humans, Genetic Association Studies, /45/91, Gene Expression Profiling, Q, Endoderm, article, Cell Differentiation, /631/208/205, /45/15, /13/31, /631/208/191, Female, Gene-Environment Interaction, /45/100, Single-Cell Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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290
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Top 10%
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295
175
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