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doi: 10.1038/s41467-020-14457-z , 10.1101/630996 , 10.17863/cam.50543 , 10.17863/cam.64519 , 10.17863/cam.49210
pmid: 32041960
pmc: PMC7010688
handle: 11343/244170
doi: 10.1038/s41467-020-14457-z , 10.1101/630996 , 10.17863/cam.50543 , 10.17863/cam.64519 , 10.17863/cam.49210
pmid: 32041960
pmc: PMC7010688
handle: 11343/244170
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.
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
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
| 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). | 290 | |
| 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. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
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