Nature CommunicationsNeurosciencePeer-reviewed journal article
Single-cell spatial map of cis-regulatory elements for disease-related genes in the macaque cortex
Juan MengiD, Cheng Chen, Zhiyong Zhu, Yongkang SuniD, Yiming HuangiD, Jiqiang Fu, Luyan Wu, Ling Li, Ling Li, Yiqin BaiiD, Tianyi FeiiD, Z.H. LiuiD, Chao Li, Zhiming SheniD, Longqi LiuiD, Chengyu LiiD, Tao SongiD, Cirong LiuiD, Muming Poo, Shiping LiuiD, Ying LeiiD, Yidi SuniD
Abstract
Single-cell spatial transcriptomes have demonstrated molecular and cellular diversity in the brain1, 2, 3, 4, 5, 6, 7, 8, but gene regulatory mechanisms underlying transcriptomic profiles and disease pathogenesis remain largely unknown in primates. Here we performed single-nucleus Assay for Transposase-Accessible Chromatin followed by sequencing (snATAC-seq) for [~]1.6 million cells from 142 cortical regions of two male cynomolgus monkeys (Macaca fascicularis), and identified distinct chromatin accessibility profiles of cis-regulatory elements (CREs) for various cell types. By integrative analysis with large-scale spatial transcriptome data, we found that these CREs showed laminar and regional preferences, with their regional accessibility exhibiting striking dependence on the regions hierarchical level. Cross-species comparison of snATAC-seq data revealed human/macaque-enriched layer-4 glutamatergic neurons and LAMP5/LHX6-expressing GABAergic neurons as well as human/macaque-biased CREs for genes related to neurodevelopment and psychiatric diseases. Importantly, risk single-nucleotide polymorphisms for many brain disorders strongly associated with human/macaque-biased CREs in glutamatergic neuronal types and those for Alzhemers disease strongly associated with CREs exclusively in microglia. Our results provided the basis for understanding the spatial gene regulatory mechanisms underlying cellular diversity and disease pathogenesis in the primate cortex.
- organism: non-human primate
- assay: scATAC-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 2
- FWCI
- 2.05
- Field percentile
- top 17%
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