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Spatially resolved gene regulatory and disease vulnerability map of the adult Macaque cortex

Authors :
Ying Lei
Mengnan Cheng
Zihao Li
Zhenkun Zhuang
Liang Wu
Yunong Sun
Lei Han
Zhihao Huang
Yuzhou Wang
Zifei Wang
Liqin Xu
Yue Yuan
Shang Liu
Taotao Pan
Jiarui Xie
Chuanyu Liu
Giacomo Volpe
Carl Ward
Yiwei Lai
Jiangshan Xu
Mingyue Wang
Hao Yu
Haixi Sun
Qichao Yu
Chunqing Wang
Chi Wai Wong
Wei Liu
Liangzhi Xu
Jingkuan Wei
Dandan Chen
Zhouchun Shang
Guibo Li
Kun Ma
Le Cheng
Fei Ling
Tao Tan
Kai Chen
Bosiljka Tasic
Michael Dean
Weizhi Ji
Huanming Yang
Ying Gu
Miguel A. Esteban
Yuxiang Li
Ao Chen
Yuyu Niu
Hongkui Zeng
Yong Hou
Longqi Liu
Shiping Liu
Xun Xu
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Single cell approaches have increased our knowledge about the cell type composition of the non-human primate (NHP), but a detailed characterization of area-specific regulatory features remains outstanding. We generated single-cell chromatin accessibility (single-cell ATAC) and transcriptomic data of 358,237 cells from prefrontal cortex (PFC), primary motor cortex (M1) and primary visual cortex (V1) of adult cynomolgus monkey brain, and integrated this dataset with Stereo-seq (Spatio-Temporal Enhanced REsolution Omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular states. We identified area-specific chromatin accessible sites and their targeted genes, including the cell type-specific transcriptional regulatory network associated with excitatory neurons heterogeneity. We reveal calcium ion transport and axon guidance genes related to specialized functions of PFC and M1, identified the similarities and differences between adult macaque and human oligodendrocyte trajectories, and mapped the genetic variants and gene perturbations of human diseases to NHP cortical cells. This resource establishes a transcriptomic and chromatin accessibility combinatory regulatory landscape at a single-cell and spatially resolved resolution in NHP cortex.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........fd3452e7f4cfd819c53c3099c01c6694