Multimodal Single-Cell Analysis Reveals Physiological Maturation in the Developing Human Neocortex.
Multimodal Single-Cell Analysis Reveals Physiological Maturation in the Developing Human Neocortex.
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多模式单细胞分析揭示发育中的人类新皮质的生理成熟
DOI:
10.1016/j.neuron.2019.01.027
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发表时间:
2019-04-03
期刊:
影响因子:
16.2
通讯作者:
Kriegstein AR
中科院分区:
文献类型:
--
作者:
Mayer S;Chen J;Velmeshev D;Mayer A;Eze UC;Bhaduri A;Cunha CE;Jung D;Arjun A;Li E;Alvarado B;Wang S;Lovegren N;Gonzales ML;Szpankowski L;Leyrat A;West JAA;Panagiotakos G;Alvarez-Buylla A;Paredes MF;Nowakowski TJ;Pollen AA;Kriegstein AR
In the developing human neocortex, progenitor cells generate diverse cell types prenatally. Progenitor cells and newborn neurons respond to signaling cues, including neurotransmitters. While single-cell RNA sequencing has revealed cellular diversity, physiological heterogeneity has yet to be mapped onto these developing and diverse cell types. By combining measurements of intracellular Ca2+ elevations in response to neurotransmitter receptor agonists and RNA sequencing of the same single cells, we show that Ca2+ responses are cell-type-specific and change dynamically with lineage progression. Physiological response properties predict molecular cell identity and additionally reveal diversity not captured by single-cell transcriptomics. We find that the serotonin receptor HTR2A selectively activates radial glia cells in the developing human, but not mouse, neocortex, and inhibiting HTR2A receptors in human radial glia disrupts the radial glial scaffold. We show highly specific neurotransmitter signaling during neurogenesis in the developing human neocortex and highlight evolutionarily divergent mechanisms of physiological signaling. Mayer et al. develop a microfluidics-based approach that links calcium imaging and single-cell transcriptomics to study cellular responses to neurotransmitters in the developing human neocortex. They reveal dynamically changing response profiles as progenitor cells differentiate to diverse types of neurons.
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影响因子:
46.9
作者:
Fuzik J;Zeisel A;Máté Z;Calvigioni D;Yanagawa Y;Szabó G;Linnarsson S;Harkany T
通讯作者:
Harkany T
影响因子:
64.5
作者:
de la Torre-Ubieta L;Stein JL;Won H;Opland CK;Liang D;Lu D;Geschwind DH
通讯作者:
Geschwind DH
影响因子:
5.3
作者:
Dooley, AE;Pappas, IS;Parnavelas, JG
通讯作者:
Parnavelas, JG
影响因子:
2.5
作者:
Azevedo, Frederico A. C.;Carvalho, Ludmila R. B.;Herculano-Houzel, Suzana
通讯作者:
Herculano-Houzel, Suzana
影响因子:
5.3
作者:
Cancedda, Laura;Fiumelli, Hubert;Poo, Mu-ming
通讯作者:
Poo, Mu-ming