Nature NeuroscienceNeurosciencePeer-reviewed journal article
Comparative molecular landscapes of immature neurons in the mammalian dentate gyrus across species reveal special features in humans
Yi Fu ZhouiD, Yijing SuiD, Qian YangiD, Jiaqi LiiD, Hong YaniD, Taosha GaoiD, Yanqing Zhong, Xueting MaiD, Mengmeng JiniD, Xinglan Liu, Nini YuaniD, Benjamin C. KennedyiD, Lizhou WangiD, Lijing YaniD, Angela Nicole ViaeneiD, Ingo HelbigiD, Sudha Kilaru KessleriD, Joel E. KleinmaniD, Thomas M. HydeiD, David W. NaueniD, Cirong LiuiD, Zhen LiuiD, Zhiming SheniD, Chao LiiD, Shengjin XuiD, , Hongjun SongiD
Abstract
Immature dentate granule cells (imGCs) arising from adult hippocampal neurogenesis contribute to plasticity, learning and memory, but their evolutionary changes across species and specialized features in humans remain poorly understood. Here we performed machine learning-augmented analysis of published single-cell RNA-sequencing datasets and identified macaque imGCs with transcriptome-wide immature neuronal characteristics. Our cross-species comparisons among humans, monkeys, pigs, and mice showed few shared (such as DPYSL5), but mostly species-specific gene expression in imGCs that converged onto common biological processes regulating neuronal development. We further identified human-specific transcriptomic features of imGCs and demonstrated functional roles of human imGC-enriched expression of a family of proton-transporting vacuolar-type ATPase subtypes in development of imGCs derived from human pluripotent stem cells. Our study reveals divergent gene expression patterns but convergent biological processes in the molecular characteristics of imGCs across species, highlighting the importance of conducting independent molecular and functional analyses for adult neurogenesis in different species.
- organism: human
- organism: mouse
- organism: rat
- assay: scRNA-seq
- research focus: differential expression
- approach: machine learning (classical)
- Citations
- 22
- FWCI
- 8.13
- Field percentile
- top 1%
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