Alternative transcribed 3' isoform of long non-coding RNA Malat1 inhibits mouse retinal oxidative stress

Ghanam, Amr R.; Ke, Shengwei; Wang, Shujuan; Elgendy, Ramy; Xie, Chenyao; Wang, Siqi; Zhang, Ran; Wei, Min; Li, Weiguang; Cao, Jun; Zhang, Yan; Zhang, Zhi; Xue, Tian; Zheng, Yong Hui; Song, Xiaoyuan

doi:10.1016/j.isci.2022.105740

Cited by 1 publication

(1 citation statement)

References 98 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, lncRNAs may bind to microRNAs or TF, which can regulate the expression of downstream genes 10 . In this way, lncRNAs may play crucial roles in multiple biological and pathological processes such as retinal cell differentiation, maintain retinal structure and homeostasis, retinal aging and degeneration in mouse models 11 – 14 . Chen et al .…”

Section: Backgroud and Summarymentioning

confidence: 99%

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

Kong,

Wang,

Xie

et al. 2023

Sci Data

View full text Add to dashboard Cite

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.

show abstract

Section: Backgroud and Summarymentioning

confidence: 99%