4.6 Review

LncRNA-Encoded Peptide: Functions and Predicting Methods

Journal

FRONTIERS IN ONCOLOGY
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2020.622294

Keywords

long non-coding RNA; peptide; translation; cancer; Ribo-seq

Categories

Funding

  1. Fundamental Research Funds for the Central Universities [2242020K40131]
  2. National Natural Science Foundation of China [81972478]

Ask authors/readers for more resources

This article summarizes the regulatory pathways of mammalian lncRNA-encoded peptides in influencing muscle function, mRNA stability, and gene expression, as well as their promoting and inhibiting functions in different cancers and other diseases. It also introduces the computational predicting methods and data resources for predicting the coding ability of lncRNA, aiming to provide references for further coding research and contribute to revealing the potential prospects for targeted tumor therapy.
Long non-coding RNA (lncRNA) was originally defined as the representative of the non-coding RNAs and unable to encode. However, recent reports suggest that some lncRNAs actually contain open reading frames that encode peptides. These coding products play important roles in the pathogenesis of many diseases. Here, we summarize the regulatory pathways of mammalian lncRNA-encoded peptides in influencing muscle function, mRNA stability, gene expression, and so on. We also address the promoting and inhibiting functions of the peptides in different cancers and other diseases. Then we introduce the computational predicting methods and data resources to predict the coding ability of lncRNA. The intention of this review is to provide references for further coding research and contribute to reveal the potential prospects for targeted tumor therapy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available