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lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

lncRNA - Long Non-coding RNAs

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Related Experiment Video

Updated: Dec 12, 2025

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

Multi-omics annotation of human long non-coding RNAs.

Qianpeng Li^1,2,3,4, Zhao Li^1,2,3,4, Changrui Feng^1,2,3,4

¹China National Center for Bioinformation, Beijing 100101, China.

Biochemical Society Transactions

|August 7, 2020

Summary

Long non-coding RNAs (lncRNAs) play crucial roles in biology and disease. Analyzing omics data aids in their discovery and functional annotation, enhancing our understanding of the human genome.

Keywords:

annotation database human long non-coding RNA multi-omics data

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Long non-coding RNAs (lncRNAs) are integral to human biological processes and diseases.
Comprehensive lncRNA annotation is vital for understanding genome function and the RNA world.
The vast number and unique nature of lncRNAs present annotation challenges.

Purpose of the Study:

To review recent discoveries in human lncRNA research.
To summarize available lncRNA database resources.
To highlight multi-omics integrative analysis for lncRNA discovery and functional elucidation.

Main Methods:

Analysis of diverse omics datasets for lncRNA identification and characterization.
Review of specialized databases for lncRNA resources.
Emphasis on integrative multi-omics approaches.

Main Results:

High-throughput sequencing generates vast omics data, enabling lncRNA discovery.
Various omics data analyses have revealed significant human lncRNAs.
Specialized databases offer valuable resources for lncRNA research.

Conclusions:

Multi-omics integrative analysis is a powerful strategy for efficient lncRNA discovery.
Understanding lncRNA function and mechanisms is advanced through these approaches.
Continued research on lncRNAs is essential for biological and medical insights.