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Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
by
Gaffney, Daniel J.
, Haldane, James
, Kumasaka, Natsuhiko
, Ghoussaini, Maya
, Pearce, Daniel
, Andersson, Malin
, Lancaster, Madeline A.
, Cuomo, Anna S. E.
, Seaton, Daniel D.
, Stegle, Oliver
, Steer, Juliette
, Merkle, Florian T.
, Patel, Minal
, Jerber, Julie
, Bonder, Marc Jan
, Marioni, John C.
, Mountjoy, Ed
in
13/1
/ 13/106
/ 14/63
/ 45
/ 45/100
/ 45/91
/ 631/114
/ 631/136/532
/ 631/208/199
/ 631/378
/ 631/61
/ Agriculture
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Cell differentiation
/ Cell Differentiation - genetics
/ Coupling (molecular)
/ Developmental stages
/ Dopamine receptors
/ Dopaminergic mechanisms
/ Dopaminergic Neurons - cytology
/ Dopaminergic Neurons - physiology
/ Efficiency
/ Gene expression
/ Gene Function
/ Gene mapping
/ Gene sequencing
/ Genetic aspects
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Genetic variance
/ Genotypes
/ Human Genetics
/ Human tissues
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - physiology
/ Mesencephalon
/ Methods
/ Multiplexing
/ Neurogenesis - genetics
/ Neurons
/ Oxidative stress
/ Oxidative Stress - drug effects
/ Parkinson's disease
/ Physiological aspects
/ Pluripotency
/ Population
/ Principal components analysis
/ Quantitative Trait Loci
/ Receptor, Fibroblast Growth Factor, Type 1 - genetics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ Rotenone
/ Rotenone - toxicity
/ Sequence Analysis, RNA
/ Single-Cell Analysis
/ Stem cells
/ Transcriptome
2021
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Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
by
Gaffney, Daniel J.
, Haldane, James
, Kumasaka, Natsuhiko
, Ghoussaini, Maya
, Pearce, Daniel
, Andersson, Malin
, Lancaster, Madeline A.
, Cuomo, Anna S. E.
, Seaton, Daniel D.
, Stegle, Oliver
, Steer, Juliette
, Merkle, Florian T.
, Patel, Minal
, Jerber, Julie
, Bonder, Marc Jan
, Marioni, John C.
, Mountjoy, Ed
in
13/1
/ 13/106
/ 14/63
/ 45
/ 45/100
/ 45/91
/ 631/114
/ 631/136/532
/ 631/208/199
/ 631/378
/ 631/61
/ Agriculture
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Cell differentiation
/ Cell Differentiation - genetics
/ Coupling (molecular)
/ Developmental stages
/ Dopamine receptors
/ Dopaminergic mechanisms
/ Dopaminergic Neurons - cytology
/ Dopaminergic Neurons - physiology
/ Efficiency
/ Gene expression
/ Gene Function
/ Gene mapping
/ Gene sequencing
/ Genetic aspects
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Genetic variance
/ Genotypes
/ Human Genetics
/ Human tissues
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - physiology
/ Mesencephalon
/ Methods
/ Multiplexing
/ Neurogenesis - genetics
/ Neurons
/ Oxidative stress
/ Oxidative Stress - drug effects
/ Parkinson's disease
/ Physiological aspects
/ Pluripotency
/ Population
/ Principal components analysis
/ Quantitative Trait Loci
/ Receptor, Fibroblast Growth Factor, Type 1 - genetics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ Rotenone
/ Rotenone - toxicity
/ Sequence Analysis, RNA
/ Single-Cell Analysis
/ Stem cells
/ Transcriptome
2021
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Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
by
Gaffney, Daniel J.
, Haldane, James
, Kumasaka, Natsuhiko
, Ghoussaini, Maya
, Pearce, Daniel
, Andersson, Malin
, Lancaster, Madeline A.
, Cuomo, Anna S. E.
, Seaton, Daniel D.
, Stegle, Oliver
, Steer, Juliette
, Merkle, Florian T.
, Patel, Minal
, Jerber, Julie
, Bonder, Marc Jan
, Marioni, John C.
, Mountjoy, Ed
in
13/1
/ 13/106
/ 14/63
/ 45
/ 45/100
/ 45/91
/ 631/114
/ 631/136/532
/ 631/208/199
/ 631/378
/ 631/61
/ Agriculture
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Cell differentiation
/ Cell Differentiation - genetics
/ Coupling (molecular)
/ Developmental stages
/ Dopamine receptors
/ Dopaminergic mechanisms
/ Dopaminergic Neurons - cytology
/ Dopaminergic Neurons - physiology
/ Efficiency
/ Gene expression
/ Gene Function
/ Gene mapping
/ Gene sequencing
/ Genetic aspects
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Genetic variance
/ Genotypes
/ Human Genetics
/ Human tissues
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - physiology
/ Mesencephalon
/ Methods
/ Multiplexing
/ Neurogenesis - genetics
/ Neurons
/ Oxidative stress
/ Oxidative Stress - drug effects
/ Parkinson's disease
/ Physiological aspects
/ Pluripotency
/ Population
/ Principal components analysis
/ Quantitative Trait Loci
/ Receptor, Fibroblast Growth Factor, Type 1 - genetics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ Rotenone
/ Rotenone - toxicity
/ Sequence Analysis, RNA
/ Single-Cell Analysis
/ Stem cells
/ Transcriptome
2021
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Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
Journal Article
Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
2021
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Overview
Studying the function of common genetic variants in primary human tissues and during development is challenging. To address this, we use an efficient multiplexing strategy to differentiate 215 human induced pluripotent stem cell (iPSC) lines toward a midbrain neural fate, including dopaminergic neurons, and use single-cell RNA sequencing (scRNA-seq) to profile over 1 million cells across three differentiation time points. The proportion of neurons produced by each cell line is highly reproducible and is predictable by robust molecular markers expressed in pluripotent cells. Expression quantitative trait loci (eQTL) were characterized at different stages of neuronal development and in response to rotenone-induced oxidative stress. Of these, 1,284 eQTL colocalize with known neurological trait risk loci, and 46% are not found in the Genotype–Tissue Expression (GTEx) catalog. Our study illustrates how coupling scRNA-seq with long-term iPSC differentiation enables mechanistic studies of human trait-associated genetic variants in otherwise inaccessible cell states.
Single-cell RNA-seq analysis of iPSC neural differentiation identifies markers that predict line-to-line differences in cell fate potential and eQTLs that are specific to different stages of differentiation and that overlap with GWAS risk variants for neurological traits.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ 13/106
/ 14/63
/ 45
/ 45/100
/ 45/91
/ 631/114
/ 631/378
/ 631/61
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Cell Differentiation - genetics
/ Dopaminergic Neurons - cytology
/ Dopaminergic Neurons - physiology
/ Genetic Predisposition to Disease
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - physiology
/ Methods
/ Neurons
/ Oxidative Stress - drug effects
/ Principal components analysis
/ Receptor, Fibroblast Growth Factor, Type 1 - genetics
/ RNA
/ Rotenone
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