计算生物学
核糖核酸
生物
细胞生物学
遗传学
基因
作者
Andrew D. Taylor,Quincy A. Hathaway,Amina Kunovac,Mark V. Pinti,Mackenzie Newman,Christopher C. H. Cook,Evan R. Cramer,Sarah A. Starcovic,Michael T. Winters,Emily S. Westemeier-Rice,Garrett K. Fink,Andrya J. Durr,Saira Rizwan,Danielle L. Shepherd,Aaron R. Robart,Iván Martínez,John M. Hollander
出处
期刊:American Journal of Physiology-cell Physiology
[American Physiological Society]
日期:2024-08-01
卷期号:327 (2): C221-C236
标识
DOI:10.1152/ajpcell.00648.2023
摘要
Long noncoding RNAs (lncRNAs) are relatively novel RNAs with increasingly prominent roles in regulating genetic expression, mainly in the nucleus but more recently in regions such as the mitochondrion. This study explores how lncRNAs interact with polynucleotide phosphorylase (PNPase), a protein that regulates RNA import into the mitochondrion. Machine learning identified several RNA structural features that improved lncRNA binding to PNPase, which may be useful in targeting RNA therapeutics to the mitochondrion.
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