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Integrated Transcriptome Analysis of Long Noncoding RNA and mRNA in Developing and Aging Mouse Retina
Kangjie Kong1, Peiyuan Wang1, Zihong Xie2
1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
Scientific Data
|September 23, 2023
Summary
This study presents a comprehensive transcriptomic dataset of mouse retina development and aging. It provides crucial insights into long non-coding RNA and mRNA expression, aiding research into retinal diseases.
Area of Science:
- Ophthalmology and Molecular Biology
- Genomics and Transcriptomics
Background:
- Mice are key models for retinal disease research.
- Limited datasets exist for mouse retina development and aging, especially for elderly stages, including integrated lncRNA and mRNA profiles.
Purpose of the Study:
- To create a comprehensive transcriptomic resource for mouse retina development and aging.
- To analyze integrated long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression profiles across various life stages.
Main Methods:
- Collected 18 retina samples from mice at 6 distinct developmental and aging stages (5 days to 15 months).
- Performed integrated lncRNA and mRNA sequencing analysis on all samples.
Main Results:
- Generated a valuable dataset detailing mRNA and lncRNA expression profiles throughout the natural course of retinal development and aging.
- Established a comprehensive transcriptomic resource for the mouse retina.
Conclusions:
- This dataset will significantly advance the understanding of molecular mechanisms in retinal development and aging.
- It will contribute to elucidating the pathogenesis of congenital retinal dysplasia and retinal degenerative diseases.
