TY - JOUR
T1 - Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation
AU - Chen, Xiaoying
AU - Zhang, Kunshan
AU - Zhou, Liqiang
AU - Gao, Xinpei
AU - Wang, Junbang
AU - Yao, Yinan
AU - He, Fei
AU - Luo, Yuping
AU - Yu, Yongchun
AU - Li, Siguang
AU - Cheng, Liming
AU - Sun, Yi E.
N1 - Publisher Copyright:
© 2016, The Author(s).
PY - 2016/3/1
Y1 - 2016/3/1
N2 - The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions.
AB - The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions.
KW - Biomarkers for neuronal maturation
KW - Patch-Seq
KW - Ubiquitination and mitochondrial function
KW - WGCNA
KW - hESC/hiPSC-derived neuron
UR - http://www.scopus.com/inward/record.url?scp=84961129374&partnerID=8YFLogxK
U2 - 10.1007/s13238-016-0247-8
DO - 10.1007/s13238-016-0247-8
M3 - Article
C2 - 26883038
AN - SCOPUS:84961129374
SN - 1674-800X
VL - 7
SP - 175
EP - 186
JO - Protein and Cell
JF - Protein and Cell
IS - 3
ER -