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Related Concept Videos

RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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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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Related Experiment Video

Updated: Mar 21, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

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RNA-Seq methods for transcriptome analysis.

Radmila Hrdlickova1, Masoud Toloue1, Bin Tian2

  • 1Bioo Scientific Inc., Austin, TX, USA.

Wiley Interdisciplinary Reviews. RNA
|May 21, 2016
PubMed
Summary
This summary is machine-generated.

Deep sequencing, or RNA-Seq, offers precise analysis of gene expression and RNA species. This review covers current methods, applications like isoform detection, and future directions in RNA sequencing technology.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Deep sequencing technologies, particularly RNA-Seq, are transforming biological and medical research.
  • RNA-Seq provides single base-level precision for analyzing nucleic acid sequences at high throughput.
  • It is a standard method for gene expression analysis and discovering novel RNA species.

Purpose of the Study:

  • To review current RNA-Seq methodologies for gene expression analysis.
  • To discuss specialized RNA-Seq applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing, and single-cell analysis.
  • To explore methods for examining RNA within cells, current technical challenges, and future research avenues.

Main Methods:

  • Review of existing literature on RNA-Seq techniques.
  • Categorization of RNA-Seq applications based on biological questions addressed.
  • Discussion of technical limitations and potential advancements in RNA-Seq protocols.

Main Results:

  • RNA-Seq is a versatile tool for comprehensive gene expression profiling.
  • Specific applications enable detailed analysis of RNA isoforms, gene fusions, and digital expression.
  • Single-cell RNA-Seq allows for the study of gene expression heterogeneity.

Conclusions:

  • RNA-Seq methods are continually evolving, offering deeper insights into RNA biology.
  • Addressing technical challenges is crucial for maximizing the potential of RNA-Seq.
  • Future directions include refining existing methods and developing novel applications for RNA analysis.