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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

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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...

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Updated: Apr 10, 2026

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

Advances in long noncoding RNAs: identification, structure prediction and function annotation.

Xingli Guo, Lin Gao, Yu Wang

Briefings in Functional Genomics

|June 15, 2015

Summary

This summary is machine-generated.

Long noncoding RNAs (lncRNAs) are key regulators in biological processes and diseases. This review covers advances in lncRNA research, focusing on sequence, structure, function, and computational analysis.

Keywords:

function annotation identification lncRNA protein-coding potential secondary structure prediction

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Last Updated: Apr 10, 2026

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

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Published on: April 10, 2018

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

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

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Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Long noncoding RNAs (lncRNAs) are a diverse class of RNA molecules.
Emerging evidence links lncRNAs to critical biological processes and human diseases.
Both primary sequence and secondary structure are crucial for lncRNA function.

Purpose of the Study:

To review recent advancements in lncRNA research.
To highlight the importance of sequence, structure, and function annotation.
To discuss computational methods for lncRNA data analysis.

Main Methods:

Literature review of recent studies on lncRNAs.
Analysis of computational approaches for lncRNA data.
Synthesis of findings across sequence, structure, and function.

Main Results:

lncRNAs play significant roles in biological regulation and disease pathogenesis.
Secondary structures are strongly correlated with lncRNA functions.
Computational tools are essential for analyzing complex lncRNA data.

Conclusions:

lncRNAs are increasingly recognized as vital functional molecules.
Understanding lncRNA sequence, structure, and function is critical for biomedical research.
Further development of computational methods will advance lncRNA studies.