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Related Concept Videos

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

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

lncRNA - Long Non-coding RNAs

Types of RNA

Types of RNA

Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA Performs Diverse...

Types of RNA

Types of RNA

Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA...

RNA Interference

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...

RNA Interference

RNA Interference

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Related Experiment Video

Updated: Apr 11, 2026

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

Revealing protein-lncRNA interaction.

Fabrizio Ferrè, Alessio Colantoni, Manuela Helmer-Citterich

Briefings in Bioinformatics

|June 5, 2015

Summary

This summary is machine-generated.

Long non-coding RNAs (lncRNAs) interact with RNA-binding proteins (RBPs) to regulate cellular functions. Understanding these lncRNA-RBP interactions is crucial for deciphering disease mechanisms.

Keywords:

co-immunoprecipitation high-throughput sequencing long non-coding RNAs protein–RNA interactions

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Last Updated: Apr 11, 2026

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

Detection of RNA-binding Proteins by In Vitro RNA Pull-down in Adipocyte Culture

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Published on: July 22, 2016

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

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Long non-coding RNAs (lncRNAs) are key regulators of diverse cellular processes.
lncRNA functions often depend on interactions with RNA-binding proteins (RBPs).
Dysregulation of these interactions is linked to various pathological conditions.

Purpose of the Study:

To explore the intricate network of lncRNA-RBP interactions.
To highlight the importance of computational methods in predicting these interactions.
To emphasize the growing knowledge in this field for understanding disease.

Main Methods:

High-throughput experimental techniques for protein-RNA binding data acquisition.
In silico computational methods for predicting RBP-lncRNA interactions.
Network analysis to map the interaction landscape.

Main Results:

Established methods for generating large-scale protein-RNA binding data.
Development of accurate computational tools for predicting lncRNA-RBP interactions.
Emerging understanding of a complex regulatory network.

Conclusions:

The protein-lncRNA interaction network is rapidly expanding.
This network provides critical insights into lncRNA functions and their roles in diseases.
Future research will further elucidate these mechanisms and their pathological relevance.