Pan Jianfeng, Wang Ruijun, Shang Fangzheng, Ma Rong, Rong Youjun, Zhang Yanjun
College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China.
Front Mol Biosci. 2022 Jun 13;9:817517. doi: 10.3389/fmolb.2022.817517. eCollection 2022.
Long non-coding RNAs (lncRNAs) were originally defined as non-coding RNAs (ncRNAs) which lack protein-coding ability. However, with the emergence of technologies such as ribosome profiling sequencing and ribosome-nascent chain complex sequencing, it has been demonstrated that most lncRNAs have short open reading frames hence the potential to encode functional micropeptides. Such micropeptides have been described to be widely involved in life-sustaining activities in several organisms, such as homeostasis regulation, disease, and tumor occurrence, and development, and morphological development of animals, and plants. In this review, we focus on the latest developments in the field of lncRNA-encoded micropeptides, and describe the relevant computational tools and techniques for micropeptide prediction and identification. This review aims to serve as a reference for future research studies on lncRNA-encoded micropeptides.
长链非编码RNA(lncRNAs)最初被定义为缺乏蛋白质编码能力的非编码RNA(ncRNAs)。然而,随着核糖体谱测序和核糖体-新生链复合物测序等技术的出现,已证明大多数lncRNAs具有短开放阅读框,因此有可能编码功能性小肽。据描述,此类小肽广泛参与多种生物体的维持生命活动,如体内平衡调节、疾病、肿瘤发生与发展以及动植物的形态发育。在本综述中,我们关注lncRNA编码小肽领域的最新进展,并描述用于小肽预测和鉴定的相关计算工具和技术。本综述旨在为未来关于lncRNA编码小肽的研究提供参考。