Single-cell analysis of human retina identifies evolutionarily conserved and species-specific mechanisms controlling development

Yufeng Lu(Chinese Academy of Sciences), Fion Shiau, Wenyang Yi(University of Science and Technology of China), Suying Lü(University of Toronto), Qian Wu(Chinese Academy of Sciences), Joel D. Pearson(University of Toronto), Alyssa Kallman(Johns Hopkins University), Suijuan Zhong(Chinese Academy of Sciences), Thanh Hoang(Johns Hopkins University), Zhentao Zuo(Chinese Academy of Sciences), Fangqi Zhao(Capital Medical University), Mei Zhang(University of Science and Technology of China), Nicole Tsai(University of California, San Francisco), Yan Zhuo(Chinese Academy of Sciences), Sheng He(Chinese Academy of Sciences), Jun Zhang(Capital Medical University), Genevieve Stein-O’Brien(Johns Hopkins University), Thomas D. Sherman(Johns Hopkins University), Xin Duan(University of California, San Francisco), Elana J. Fertig(Johns Hopkins University), Loyal A. Goff(Johns Hopkins University), Donald J. Zack(Johns Hopkins University), James T. Handa(Johns Hopkins University), Tian Xue(University of Science and Technology of China), Rod Bremner(University of Toronto), Seth Blackshaw(Johns Hopkins University), Xiaoqun Wang(Chinese Academy of Sciences), Brian S. Clark(Washington University in St. Louis)
bioRxiv (Cold Spring Harbor Laboratory)
October 2, 2019
Cited by 29Open Access
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Abstract

Summary The development of single-cell RNA-Sequencing (scRNA-Seq) has allowed high resolution analysis of cell type diversity and transcriptional networks controlling cell fate specification. To identify the transcriptional networks governing human retinal development, we performed scRNA-Seq over retinal organoid and in vivo retinal development, across 20 timepoints. Using both pseudotemporal and cross-species analyses, we examined the conservation of gene expression across retinal progenitor maturation and specification of all seven major retinal cell types. Furthermore, we examined gene expression differences between developing macula and periphery and between two distinct populations of horizontal cells. We also identify both shared and species-specific patterns of gene expression during human and mouse retinal development. Finally, we identify an unexpected role for ATOH7 expression in regulation of photoreceptor specification during late retinogenesis. These results provide a roadmap to future studies of human retinal development, and may help guide the design of cell-based therapies for treating retinal dystrophies.


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