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Related Concept Videos

RNA-seq03:21

RNA-seq

10.7K
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: Oct 25, 2025

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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[RNAseq in routine oncology].

Nicolas Piton1, Florent Marguet1, Florian Guisier2

  • 1Inserm U1245, service de pathologie, CHU de Rouen, Normandie Université, UNIROUEN, 76000 Rouen, France.

Annales De Pathologie
|August 11, 2021
PubMed
Summary

High throughput RNA sequencing (RNAseq) on formalin-fixed paraffin-embedded tissue provides comprehensive cancer genotyping. This holistic approach aids diagnosis, prognosis, and targeted therapy selection in oncology.

Keywords:
BiomarkersBiomarqueursHigh throughput sequencingOncologieOncologyRNAseqSéquençage à haut débitTheranosticThéranostic

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Area of Science:

  • Oncology
  • Genomics
  • Pathology

Background:

  • Formalin-fixed paraffin-embedded (FFPE) tissue is a gold-standard in pathology.
  • High throughput RNA sequencing (RNAseq) is now widely adopted in cancer genotyping.
  • RNAseq generates both qualitative and quantitative molecular data.

Purpose of the Study:

  • To highlight the impact of RNAseq on oncology practice.
  • To discuss the advantages and challenges of RNAseq in cancer genotyping.
  • To emphasize the shift towards a holistic approach in tumor tissue processing.

Main Methods:

  • RNA sequencing (RNAseq) performed on FFPE tissues.
  • Analysis of qualitative data (mutations, fusions) and quantitative data (gene expression profiles).
  • Integration of molecular data for diagnostic, prognostic, and predictive purposes.

Main Results:

  • RNAseq detects numerous molecular alterations simultaneously, replacing sequential assays.
  • It offers insights into cancer diagnosis, prognosis, and targeted therapy selection (e.g., ALK, ROS1, NTRK).
  • Widespread adoption has significantly impacted tumor tissue processing algorithms.

Conclusions:

  • RNAseq on FFPE tissue represents a significant advancement in oncology.
  • Controlling pre-analytic parameters is crucial for optimizing RNA quality and results.
  • This technique ushers in a new, holistic era for cancer molecular profiling.