Cross-species single-cell landscapes identify the pathogenic gene characteristics of inherited retinal diseases

被引:0
作者
Hu, Hualei [1 ]
Liu, Fei [2 ,3 ]
Gao, Pan [1 ]
Huang, Yuwen [1 ]
Jia, Danna [1 ]
Reilly, Jamas [4 ]
Chen, Xiang [1 ]
Han, Yunqiao [1 ]
Sun, Kui [1 ]
Luo, Jiong [1 ]
Li, Pei [1 ]
Zhang, Zuxiao [1 ]
Wang, Qing [1 ]
Lu, Qunwei [1 ]
Luo, Daji [2 ,3 ]
Shu, Xinhua [4 ]
Tang, Zhaohui [1 ]
Liu, Mugen [1 ]
Ren, Xiang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Key Lab Mol Biophys, Minist Educ, Wuhan, Peoples R China
[2] Chinese Acad Sci, Inst Hydrobiol, Innovat Acad Seed Design, State Key Lab Freshwater Ecol & Biotechnol, Wuhan, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Glasgow Caledonian Univ, Dept Biol & Biomed Sci, Glasgow City, Scotland
基金
中国国家自然科学基金;
关键词
inherited retinal disease; single-cell RNA sequencing; retina; cross-species; transcription factor regulatory network; MACULAR DEGENERATION; ENRICHMENT ANALYSIS; EXPRESSION; DIVERSIFICATION; PHOTORECEPTOR; UPDATE;
D O I
10.3389/fgene.2024.1409016
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Introduction Inherited retinal diseases (IRDs) affect similar to 4.5 million people worldwide. Elusive pathogenic variants in over 280 genes are associated with one or more clinical forms of IRDs. It is necessary to understand the complex interaction among retinal cell types and pathogenic genes by constructing a regulatory network. In this study, we attempt to establish a panoramic expression view of the cooperative work in retinal cells to understand the clinical manifestations and pathogenic bases underlying IRDs.Methods Single-cell RNA sequencing (scRNA-seq) data on the retinas from 35 retina samples of 3 species (human, mouse, and zebrafish) including 259,087 cells were adopted to perform a comparative analysis across species. Bioinformatic tools were used to conduct weighted gene co-expression network analysis (WGCNA), single-cell regulatory network analysis, cell-cell communication analysis, and trajectory inference analysis.Results The cross-species comparison revealed shared or species-specific gene expression patterns at single-cell resolution, such as the stathmin family genes, which were highly expressed specifically in zebrafish M & uuml;ller glias (MGs). Thirteen gene modules were identified, of which nine were associated with retinal cell types, and Gene Ontology (GO) enrichment of module genes was consistent with cell-specific highly expressed genes. Many IRD genes were identified as hub genes and cell-specific regulons. Most IRDs, especially the retinitis pigmentosa (RP) genes, were enriched in rod-specific regulons. Integrated expression and transcription regulatory network genes, such as congenital stationary night blindness (CSNB) genes GRK1, PDE6B, and TRPM1, showed cell-specific expression and transcription characteristics in either rods or bipolar cells (BCs). IRD genes showed evolutionary conservation (GNAT2, PDE6G, and SAG) and divergence (GNAT2, MT-ND4, and PDE6A) along the trajectory of photoreceptors (PRs) among species. In particular, the Leber congenital amaurosis (LCA) gene OTX2 showed high expression at the beginning of the trajectory of both PRs and BCs.Conclusion We identified molecular pathways and cell types closely connected with IRDs, bridging the gap between gene expression, genetics, and pathogenesis. The IRD genes enriched in cell-specific modules and regulons suggest that these diseases share common etiological bases. Overall, mining of interspecies transcriptome data reveals conserved transcriptomic features of retinas across species and promising applications in both normal retina anatomy and retina pathology.
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页数:15
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