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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

A high-resolution melting approach for analyzing allelic expression dynamics.

Jiazheng Yuan1, Muhammad Haroon, David Lightfoot

  • 1Potato Research Centre, Agriculture and Agri-Food Canada, Fredericton, NB, E3B 4Z7, Canada.

Current Issues in Molecular Biology
|February 6, 2009
PubMed
Summary

High-resolution DNA melting curve analysis effectively distinguishes potato gene alleles. This functional allele activity (FAA) marker technology rapidly identifies the most active gene alleles in cells.

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Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis

Published on: August 26, 2020

Area of Science:

  • Molecular Biology
  • Plant Science
  • Genetics

Background:

  • Single nucleotide polymorphisms (SNPs) are key genetic variations.
  • High-resolution DNA melting curve (HRM) analysis offers precise post-PCR mutation detection.

Purpose of the Study:

  • To investigate HRM analysis for distinguishing potato (Solanum tuberosum) transcript abundances.
  • To assess HRM's utility in studying gene allele expression in potato.

Main Methods:

  • Utilized HRM analysis with a LightScanner and LC Green dye.
  • Studied transcript properties of seven carbohydrate metabolism genes.
  • Analyzed differential allelic expression across tissues, storage conditions, and varieties.
  • Sequenced RT-PCR amplicons to validate HRM data.

Main Results:

  • HRM assay successfully differentiated allele transcript abundances in potato.
  • cDNA HRM curves strongly correlated with nucleotide polymorphisms and allele transcript levels.
  • HRM data demonstrated differential gene expression between various potato organs, storage treatments, and varieties.

Conclusions:

  • HRM analysis serves as a reliable functional allele activity (FAA) marker.
  • This technology enables rapid identification of the most active gene alleles.
  • HRM offers a powerful tool for studying gene expression and allelic variation in plants.