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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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Related Experiment Video

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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
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NanoString nCounter Technology: High-Throughput RNA Validation.

Angela Goytain1,2, Tony Ng3,4,5

  • 1Department of Pathology, University of British Columbia, Vancouver, BC, Canada. Angela.Goytain@vch.ca.

Methods in Molecular Biology (Clifton, N.J.)
|November 16, 2019
PubMed
Summary
This summary is machine-generated.

The NanoString nCounter offers reliable gene expression and fusion transcript analysis for up to 800 genes across 12 samples. This multiplex nucleic acid hybridization technology requires minimal RNA input and works with diverse sample types.

Keywords:
Chimeric RNADNAGene expressionMolecular barcodeNanoStringProbe hybridizationRNAnCounter

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Multiplex nucleic acid analysis is crucial for understanding gene expression and genomic alterations.
  • Existing technologies may have limitations in throughput, sensitivity, or sample compatibility.

Purpose of the Study:

  • To detail the design, setup, and performance of the NanoString nCounter system for RNA assays.
  • To highlight its capabilities in gene expression and fusion transcript assessment.

Main Methods:

  • Utilizing NanoString nCounter, a multiplex nucleic acid hybridization technology.
  • Assessing gene expression, copy number variation, single nucleotide variation, and chimeric RNAs.
  • Employing minimal RNA input (as low as 1 ng) from various sample sources.

Main Results:

  • The NanoString nCounter enables reliable and reproducible assessment of up to 800 genes or 228 gene fusions per assay.
  • The technology is effective with diverse starting materials, including fresh or formalin-fixed tissues and biological fluids.
  • Accurate analysis is achievable with low RNA input.

Conclusions:

  • The NanoString nCounter platform provides a robust method for comprehensive RNA analysis.
  • Its versatility and sensitivity make it suitable for a wide range of research applications.
  • This chapter serves as a guide for implementing NanoString-based RNA assays.