Nature CommunicationsBioinformaticsPeer-reviewed journal article
A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys
Jiao QuiD, Fa YangiD, Tao ZhuiD, Yingshuo WangiD, Wen FangiD, Yan DingiD, Xue Fei ZhaoiD, Xianjia Qi, Qiang-min XieiD, Ming CheniD, Qiang XuiD, Yicheng XieiD, Yang SuniD, Dijun CheniD
Abstract
Non-human primates (NHP) are attractive laboratory animal models that accurately reflect both developmental and pathological features of humans. Here we present a compendium of cell types from the cynomolgus monkey Macaca fascicularis (denoted as Monkey Atlas) using both single-cell chromatin accessibility (scATAC-seq) and RNA sequencing (scRNA-seq) data at the organism-wide level. The integrated cell map enables in-depth dissection and comparison of molecular dynamics, cell-type composition and cellular heterogeneity across multiple tissues and organs. Using single-cell transcriptomic data, we inferred pseudotime cell trajectories and cell-cell communications to uncover key molecular signatures underlying their cellular processes. Furthermore, we identified various cell-specific cis-regulatory elements and constructed organ-specific gene regulatory networks at the single-cell level. Finally, we performed a comparative analysis of single-cell landscapes among mouse, cynomolgus monkey and human, and we showed that cynomolgus monkey has significantly higher degree of cell-type similarity to human than mouse. Taken together, our study provides a valuable resource for NHP cell biology.
- organism: non-human primate
- assay: scATAC-seq
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 62
- FWCI
- 4.08
- Field percentile
- top 4%
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