Back

Single-cell regulatory landscape and disease vulnerability map of adult Macaque cortex

Lei, Y.; Cheng, M.; Li, Z.; Zhuang, Z.; Wu, L.; Han, L.; Liu, S.; Huang, Z.; Wei, J.; Wang, Y.; Wang, Z.; Xu, L.; Pan, T.; Xie, J.; Liu, C.; Volpe, G.; Ward, C.; Lai, Y.; Xu, J.; Yuan, Y.; Wang, M.; Yu, H.; Sun, H.; Yu, Q.; Wu, L.; Chen, D.; Wang, C.; Wong, C. W.; Liu, W.; Xu, L.; Shang, Z.; Li, G.; Ma, K.; Cheng, L.; Ling, F.; Tan, T.; Chen, K.; Chen, A.; Tasic, B.; Dean, M.; Ji, W.; Yang, H.; Gu, Y.; Esteban, M. A.; Xu, X.; Zeng, H.; Liu, L.; Niu, Y.; Hou, Y.; Liu, S.

2020-05-16 neuroscience
10.1101/2020.05.14.087601 bioRxiv
Show 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.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.