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Temporal transcriptomic dynamics in developing macaque neocortex

delete2024-02-28
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OA
AI
L
Longjiang Xu
Z
Zan Yuan
J
Jiafeng Zhou
Y
Yuan Zhao
刘
刘威 (Wei Liu)
S
Shuaiyao Lu
B
Boqin Qiang
P
Pengcheng Shu *
Y
Yang Chen *
X
Xiaozhong Peng *
DOI:10.7554/eLife.90325delete
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摘要

摘要

En 中文
Despite intense research on mice, the transcriptional regulation of neocortical neurogenesis remains limited in humans and non-human primates. Cortical development in rhesus macaque is known to recapitulate multiple facets of cortical development in humans, including the complex composition of neural stem cells and the thicker supragranular layer. To characterize temporal shifts in transcriptomic programming responsible for differentiation from stem cells to neurons, we sampled parietal lobes of rhesus macaque at E40, E50, E70, E80, and E90, spanning the full period of prenatal neurogenesis. Single-cell RNA sequencing produced a transcriptomic atlas of developing parietal lobe in rhesus macaque neocortex. Identification of distinct cell types and neural stem cells emerging in different developmental stages revealed a terminally bifurcating trajectory from stem cells to neurons. Notably, deep-layer neurons appear in the early stages of neurogenesis, while upper-layer neurons appear later. While these different lineages show overlap in their differentiation program, cell fates are determined post-mitotically. Trajectories analysis from ventricular radial glia (vRGs) to outer radial glia (oRGs) revealed dynamic gene expression profiles and identified differential activation of BMP, FGF, and WNT signaling pathways between vRGs and oRGs. These results provide a comprehensive overview of the temporal patterns of gene expression leading to different fates of radial glial progenitors during neocortex layer formation.
Keyword:
scRNA-seq
neural progenitor
macaque cortex
prenatal neurogenesis
Rhesus macaque
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C
chinese academy of medical sciences - peking union medical college
学者数:
5.9W
论文数: 4.0W
被引数: 2.1W
I
institute of medical biology - cams
学者数:
337
论文数: 185
被引数: 59
引用论文

引用论文

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