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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

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...
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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.
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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.
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RNA-seq03:21

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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. 
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Related Experiment Video

Updated: Jul 19, 2025

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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Long noncoding RNA study: Genome-wide approaches.

Shuang Tao1, Yarui Hou1, Liting Diao1

  • 1The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China.

Genes & Diseases
|August 9, 2023
PubMed
Summary
This summary is machine-generated.

This review outlines genome-wide strategies for studying long noncoding RNAs (lncRNAs). It covers identification, functional characterization, and mechanistic research using advanced sequencing and bioinformatics.

Keywords:
Cancer-related lncRNAsComputational pipelinesGenome-wide studyLong noncoding RNAsTechnological approaches

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Long noncoding RNAs (lncRNAs) are complex molecules with vital biological roles.
  • Despite extensive research, much remains unknown about lncRNA complexity and function.
  • Advancements in high-throughput technologies and bioinformatics accelerate lncRNA discovery.

Purpose of the Study:

  • To provide a comprehensive overview of genome-wide research strategies for lncRNAs.
  • To systematically introduce methods for lncRNA identification, functional characterization, and mechanistic studies.
  • To highlight the integration of experimental and computational approaches in lncRNA research.

Main Methods:

  • Genome-wide identification using high-throughput sequencing and computational pipelines.
  • Functional characterization via expression atlas profiling and genome-scale screening.
  • Mechanism research employing large-scale experimental technologies and computational analysis.

Main Results:

  • Summarized primary experimental methods and bioinformatic pipelines for lncRNA research.
  • Detailed strategies for novel lncRNA identification.
  • Outlined approaches for functional and mechanistic investigations, including cancer-related lncRNAs.

Conclusions:

  • Established a systemic overview of genome-wide lncRNA research.
  • Indicated a comprehensive lncRNA research system integrating diverse methodologies.
  • Emphasized the importance of advanced technologies and bioinformatics in advancing lncRNA studies.