Discovering functional motifs in long noncoding RNAs.

Area of Science:

• * RNA Biology and Genomics
• * Computational RNA Analysis
• * Regulatory RNA Mechanisms

Background:

• * Long noncoding RNAs (lncRNAs) are abundant transcripts with poorly understood functions.
• * Current models suggest lncRNA function relies on specific conserved elements, with less emphasis on linker regions.
• * This has driven the development of computational and experimental methods to find functional elements within lncRNA genes.

Purpose of the Study:

• * To review challenges in identifying functional elements of lncRNAs.
• * To describe recent computational and experimental approaches for lncRNA functional element discovery.
• * To discuss the limitations of current methods.

Main Methods:

• * Analysis of diverse signals for functional element discovery, including evolutionary conservation and predicted RNA structures.
• * Evaluation of methods based on rescuing loss-of-function phenotypes.
• * Review of computational and experimental strategies for lncRNA research.

Main Results:

• * Various methods exist for lncRNA functional element discovery, utilizing conservation, structure, and functional assays.
• * Each method presents unique challenges and limitations that need to be addressed.
• * Recent advancements offer improved approaches to understanding lncRNA mechanisms.

Conclusions:

• * Identifying functional elements in lncRNAs remains a significant challenge in RNA biology.
• * A comprehensive understanding requires overcoming limitations in current discovery methods.
• * Further research is needed to elucidate the diverse modes of action for lncRNAs.