PUBLICATION

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

Authors
Huang, W., Xiong, T., Zhao, Y., Heng, J., Han, G., Wang, P., Zhao, Z., Shi, M., Li, J., Wang, J., Wu, Y., Liu, F., Xi, J.J., Wang, Y., Zhang, Q.C.
ID
ZDB-PUB-240110-21
Date
2024
Source
Nature Genetics   56(1): 124-135 (Journal)
Registered Authors
Liu, Feng
Keywords
none
MeSH Terms
  • Animals
  • Genome
  • Genomics
  • Humans
  • Mice
  • RNA, Long Noncoding*/genetics
  • RNA, Long Noncoding*/metabolism
  • Zebrafish/genetics
PubMed
38195860 Full text @ Nat. Genet.
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.
Genes / Markers
Figures
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Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping