Research progress on high throughput discovery and functional verification of functional micropeptides

Yi Chuan. 2022 Jun 20;44(6):478-490. doi: 10.16288/j.yczz.22-007.

Abstract

With the rapid development of computational biology and deep sequencing technology, more and more studies have shown that a large number of non-classical open reading frames that have not been annotated and hidden in non-coding RNA can encode functional micropeptide. This article reviewed the current research status and technology strategy of gene sources, biological properties, predicted methods and functional verification of micropeptide, providing theoretical and reference basis for the subsequent discovery of micropeptides, research on regulatory mechanisms and development of novel targets and biomarkers.

随着计算生物学和深度测序技术的飞速发展,愈来愈多的研究表明大量之前未被注释、隐藏在非编码RNA中的非经典开放阅读框(open reading frame, ORF)具有编码功能性微肽(micropeptide)的能力。本文对微肽的基因来源、生物性质、预测方法和功能验证的研究现状和技术策略展开综述,以期为后续开展微肽发现、研究调控机制以及新靶点、生物标志物的开发等提供理论基础和参考依据。.

Keywords: functional micropeptides; noncoding RNA; sORFs.

Publication types

  • Review

MeSH terms

  • Computational Biology* / methods
  • Open Reading Frames
  • Peptides* / chemistry
  • Peptides* / genetics

Substances

  • Peptides