Scientific Data (Sep 2023)

Integrated Transcriptome Analysis of Long Noncoding RNA and mRNA in Developing and Aging Mouse Retina

  • Kangjie Kong,
  • Peiyuan Wang,
  • Zihong Xie,
  • Lu Wang,
  • Jiaxuan Jiang,
  • Yaoming Liu,
  • Shaolin Du,
  • Jingwen Jiang,
  • Yunhe Song,
  • Fengbin Lin,
  • Wei Wang,
  • Xiuli Fang,
  • Zhuoxing Shi,
  • Xiulan Zhang,
  • Shida Chen

DOI
https://doi.org/10.1038/s41597-023-02562-9
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 13

Abstract

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Abstract Mice have emerged as a widely employed model for investigating various retinal diseases. However, the availability of comprehensive datasets capturing the entire developmental and aging stages of the mouse retina, particularly during the elderly period, encompassing integrated lncRNA and mRNA expression profiles, is limited. In this study, we assembled a total of 18 retina samples from mice across 6 distinct stages of development and aging (5 days, 3 weeks, 6 weeks, 10 weeks, 6 months, and 15 months) to conduct integrated lncRNA and mRNA sequencing analysis. This invaluable dataset offers a comprehensive transcriptomic resource of mRNA and lncRNA expression profiles during the natural progression of retinal development and aging. The discoveries stemming from this investigation will significantly contribute to the elucidation of the underlying molecular mechanisms associated with various retinal diseases, such as congenital retinal dysplasia and retinal degenerative diseases.