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Related Concept Videos

RNA-seq03:21

RNA-seq

11.7K
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 Profiling02:24

Ribosome Profiling

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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.
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...
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Related Experiment Video

Updated: Jan 13, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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The actionable transcriptome: a framework for incorporating RNA sequencing into precision oncology.

Amber Johnson1, Yifei Shen2, Xiaofeng Zheng2

  • 1Molecular Diagnostics Laboratory, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Nature Reviews. Clinical Oncology
|January 6, 2026
PubMed
Summary

Comprehensive RNA sequencing (RNA-seq) offers a cost-effective method for detecting actionable biomarkers in cancer. This approach enhances precision oncology by analyzing RNA levels, gene fusions, and variants for personalized treatment strategies.

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Multiplexed RNA sequencing (RNA-seq) is becoming standard in molecular tumor profiling.
  • RNA-seq assays are robust, cost-effective, and suitable for clinical workflows.

Purpose of the Study:

  • Propose a framework for integrating RNA-seq data into precision oncology.
  • Identify actionable transcriptome targets for cancer therapy.

Main Methods:

  • Analyzing RNA levels of oncogenes, tumor suppressors, and therapeutic targets.
  • Detecting gene fusions, splice variants, and RNA-based mutations.
  • Evaluating oncoviral gene expression and associated biological features.

Main Results:

  • RNA profiling identifies actionable alterations beyond DNA sequencing.
  • Overexpression/underexpression of specific genes predicts therapeutic response.
  • RNA levels correlate with homologous recombination deficiency and DNA mismatch repair defects.

Conclusions:

  • Comprehensive RNA profiling enhances personalized cancer care.
  • RNA-seq overcomes limitations of conventional low-plex assays.
  • RNA-seq data expands therapeutic opportunities in oncology.