TY - JOUR
T1 - Single-cell multimodal transcriptomics to study neuronal diversity in human stem cell-derived brain tissue and organoid models
AU - van den Hurk, Mark
AU - Bardy, Cedric
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Advances in human cell reprogramming and induced pluripotent stem cell technologies generate tremendous potential for neuroscience studies in health and disease, while the neuroscientist toolbox for engineering a range of brain tissues and neuronal cell types is rapidly expanding. Here, we discuss how the emergence of new single-cell genomics methods may help benchmarking and optimizing the tissue engineering process. The inherent heterogeneity and variability of reprogrammed brain tissue may conceal important disease mechanisms if not accounted for by rigorous experimental design. Single-cell genomics methods may address this technical challenge and ultimately improve the development of new therapeutics for neurological and psychiatric disorders.
AB - Advances in human cell reprogramming and induced pluripotent stem cell technologies generate tremendous potential for neuroscience studies in health and disease, while the neuroscientist toolbox for engineering a range of brain tissues and neuronal cell types is rapidly expanding. Here, we discuss how the emergence of new single-cell genomics methods may help benchmarking and optimizing the tissue engineering process. The inherent heterogeneity and variability of reprogrammed brain tissue may conceal important disease mechanisms if not accounted for by rigorous experimental design. Single-cell genomics methods may address this technical challenge and ultimately improve the development of new therapeutics for neurological and psychiatric disorders.
KW - Brain organoids
KW - Cellular heterogeneity
KW - Human neuron transcriptome
KW - Induced pluripotent stem cell (iPSC)
KW - Neuronal tissue
KW - Single-cell multimodal genomics
KW - Single-cell RNA-seq
UR - http://www.scopus.com/inward/record.url?scp=85069864268&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2019.108350
DO - 10.1016/j.jneumeth.2019.108350
M3 - Review article
C2 - 31310823
AN - SCOPUS:85069864268
SN - 0165-0270
VL - 325
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
M1 - 108350
ER -