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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...
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase01:11

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase

Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
Labeling DNA Probes03:31

Labeling DNA Probes

DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...

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Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions
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Effect of polymorphisms within probe-target sequences on olignonucleotide microarray experiments.

David Benovoy1, Tony Kwan, Jacek Majewski

  • 1Department of Human Genetics, McGill University, Montreal, QC, Canada. davidbenovoy@gmail.com

Nucleic Acids Research
|July 4, 2008
PubMed
Summary
This summary is machine-generated.

Single nucleotide polymorphisms (SNPs) significantly impact RNA expression measurements from microarrays, causing false positives. Masking affected probes reduces these errors while maintaining broad transcriptome coverage.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Hybridization-based technologies like microarrays are crucial for RNA expression analysis.
  • Polymorphisms in probe-target sequences can disrupt hybridization, leading to inaccurate measurements and false positives.

Purpose of the Study:

  • To characterize the impact of single nucleotide polymorphisms (SNPs) on RNA expression estimates from the Affymetrix Exon Array.
  • To quantify the relationship between genotype, signal intensity, and polymorphism characteristics.

Main Methods:

  • Association analysis between probe/exon/transcript expression levels and neighboring SNP genotypes in 57 CEU HapMap individuals.
  • Quantification of genotype effects on signal intensity based on polymorphism number, affected probes, and position.

Main Results:

  • SNPs severely affect exon and gene expression estimates, leading to substantial false-positive rates, especially in alternative splicing analyses.
  • The severity of the SNP effect depends on polymorphism characteristics like location and number within target sequences.

Conclusions:

  • SNP-induced errors are a significant challenge in high-throughput RNA expression studies.
  • A simple probe-masking strategy effectively reduces false-positive rates with minimal loss of transcriptome coverage.