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Please use this identifier to cite or link to this item:
http://ir.nhri.org.tw/handle/3990099045/12495
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| Title: | Novel eye genes systematically discovered through an integrated analysis of mouse transcriptomes and phenome |
| Authors: | Chiang, CY;Ching, YH;Chang, TY;Hu, LS;Yong, YS;Keak, PY;Mustika, I;Lin, MD;Liao, BY |
| Contributors: | Institute of Population Health Sciences |
| Abstract: | In the last few decades, reverse genetic and high throughput approaches have been frequently applied to the mouse (Mus musculus) to understand how genes function in tissues/organs and during development in a mammalian system. Despite these efforts, the associated phenotypes for the majority of mouse genes remained to be fully characterized. Here, we performed an integrated transcriptome-phenome analysis by identifying coexpressed gene modules based on tissue transcriptomes profiled with each of various platforms and functionally interpreting these modules using the mouse phenotypic data. Consequently, >15,000 mouse genes were linked with at least one of the 47 tissue functions that were examined. Specifically, our approach predicted >50 genes previously unknown to be involved in mice (Mus musculus) visual functions. Fifteen genes were selected for further analysis based on their potential biomedical relevance and compatibility with further experimental validation. Gene-specific morpholinos were introduced into zebrafish (Danio rerio) to target their corresponding orthologs. Quantitative assessments of phenotypes of developing eyes confirmed predicted eye-related functions of 13 out of the 15 genes examined. These novel eye genes include: Adal, Ankrd33, Car14, Ccdc126, Dhx32, Dkk3, Fam169a, Grifin, Kcnj14, Lrit2, Ppef2, Ppm1n, and Wdr17. The results highlighted the potential for this phenome-based approach to assist the experimental design of mutating and phenotyping mouse genes that aims to fully reveal the functional landscape of mammalian genomes. |
| Date: | 2020-12-27 |
| Relation: | Computational and Structural Biotechnology Journal. 2020 Dec 27;18:73-82. |
| Link to: | http://dx.doi.org/10.1016/j.csbj.2019.12.009 |
| JIF/Ranking 2023: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2001-0370&DestApp=IC2JCR |
| Cited Times(WOS): | https://www.webofscience.com/wos/woscc/full-record/WOS:000607305900010 |
| Cited Times(Scopus): | https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85078207764 |
| Appears in Collections: | [廖本揚] 期刊論文
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| PUB31934309.pdf | | 2415Kb | Adobe PDF | 422 | View/Open |
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