Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis.
Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis.
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通过单细胞 RNA-seq 分析对人类胚胎大脑皮层进行空间转录组调查。
DOI：
10.1038/s41422-018-0053-3
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发表时间：
2018-07
期刊：
影响因子：
44.1
通讯作者：
Tang F
中科院分区：
文献类型：
--
作者：
Fan X;Dong J;Zhong S;Wei Y;Wu Q;Yan L;Yong J;Sun L;Wang X;Zhao Y;Wang W;Yan J;Wang X;Qiao J;Tang F
尽管尚未报道基于单细胞转录组分析的整个人类大脑皮层的区域特征，但人类大脑发育的细胞复杂性已得到深入研究。在这里，我们对来自人类妊娠中期胚胎 22 个大脑区域的 4,000 多个单个细胞进行了 RNA 测序。我们鉴定出 29 个细胞亚簇，每个区域的比例不同，脑桥中星形胶质细胞的比例特别高。胚胎神经元不像成年神经元那样多样化，尽管它们具有成年后命运的重要特征。大脑皮层的神经元发育不同步，因为在这个阶段，背侧区域似乎比腹侧区域更成熟。在每个神经元亚簇中全面鉴定了区域特异性基因，其中很大一部分基因与神经疾病相关。我们的结果呈现了人类大脑皮层区域化基因表达和神经元成熟的系统图景。
The cellular complexity of human brain development has been intensively investigated, although a regional characterization of the entire human cerebral cortex based on single-cell transcriptome analysis has not been reported. Here, we performed RNA-seq on over 4,000 individual cells from 22 brain regions of human mid-gestation embryos. We identified 29 cell sub-clusters, which showed different proportions in each region and the pons showed especially high percentage of astrocytes. Embryonic neurons were not as diverse as adult neurons, although they possessed important features of their destinies in adults. Neuron development was unsynchronized in the cerebral cortex, as dorsal regions appeared to be more mature than ventral regions at this stage. Region-specific genes were comprehensively identified in each neuronal sub-cluster, and a large proportion of these genes were neural disease related. Our results present a systematic landscape of the regionalized gene expression and neuron maturation of the human cerebral cortex.
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影响因子：
6.2
作者：
Chandley MJ;Crawford JD;Szebeni A;Szebeni K;Ordway GA
通讯作者：
Ordway GA
人类卵巢癌中的TRAP1下调可增强入侵和上皮 - 间质转变。
影响因子：
9
作者：
Amoroso MR;Matassa DS;Agliarulo I;Avolio R;Lu H;Sisinni L;Lettini G;Gabra H;Landriscina M;Esposito F
通讯作者：
Esposito F
DOI：
10.1093/bioinformatics/btu638
发表时间：
2015-01-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Anders S;Pyl PT;Huber W
通讯作者：
Huber W
DOI：
10.1073/pnas.1507125112
发表时间：
2015-06-09
影响因子：
11.1
作者：
Darmanis S;Sloan SA;Zhang Y;Enge M;Caneda C;Shuer LM;Hayden Gephart MG;Barres BA;Quake SR
通讯作者：
Quake SR
影响因子：
5.3
作者：
Cancedda, Laura;Fiumelli, Hubert;Poo, Mu-ming
通讯作者：
Poo, Mu-ming