Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human

计算预测和实验验证确定了从斑马鱼到人类功能保守的 lncRNA

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作者:Wenze Huang #, Tuanlin Xiong #, Yuting Zhao #, Jian Heng, Ge Han, Pengfei Wang, Zhihua Zhao, Ming Shi, Juan Li, Jiazhen Wang, Yixia Wu, Feng Liu, Jianzhong Jeff Xi, Yangming Wang, Qiangfeng Cliff Zhang

Abstract

Functional studies of long noncoding RNAs (lncRNAs) have been hindered by the lack of methods to assess their evolution. Here we present lncRNA Homology Explorer (lncHOME), a computational pipeline that identifies a unique class of long noncoding RNAs (lncRNAs) with conserved genomic locations and patterns of RNA-binding protein (RBP) binding sites (coPARSE-lncRNAs). Remarkably, several hundred human coPARSE-lncRNAs can be evolutionarily traced to zebrafish. Using CRISPR-Cas12a knockout and rescue assays, we found that knocking out many human coPARSE-lncRNAs led to cell proliferation defects, which were subsequently rescued by predicted zebrafish homologs. Knocking down coPARSE-lncRNAs in zebrafish embryos caused severe developmental delays that were rescued by human homologs. Furthermore, we verified that human, mouse and zebrafish coPARSE-lncRNA homologs tend to bind similar RBPs with their conserved functions relying on specific RBP-binding sites. Overall, our study demonstrates a comprehensive approach for studying the functional conservation of lncRNAs and implicates numerous lncRNAs in regulating vertebrate physiology.

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