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Related Experiment Videos

Gene expression differences in mice divergently selected for methamphetamine sensitivity.

Abraham A Palmer1, Miguel Verbitsky, Rathi Suresh

  • 1Columbia Genome Center, Columbia University, 1150 St. Nicholas Ave., New York, New York 10032, USA. aap2010@columbia.edu

Mammalian Genome : Official Journal of the International Mammalian Genome Society
|August 18, 2005
PubMed
Summary
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Researchers identified genes linked to methamphetamine (MA) sensitivity by mapping behavioral quantitative trait loci (bQTL) and analyzing gene expression in mice. An expression QTL for Csnkle on Chromosome 15 co-mapped with a bQTL for MA stimulation, suggesting a shared genetic cause.

Area of Science:

  • Genetics
  • Neuroscience
  • Pharmacology

Background:

  • Drug abuse liability is a complex trait influenced by genetic factors.
  • Understanding the genetic basis of stimulant sensitivity is crucial for addiction research.

Purpose of the Study:

  • To identify genes associated with methamphetamine (MA) sensitivity and drug-abuse liability.
  • To map behavioral quantitative trait loci (bQTL) for MA-induced locomotor activity.
  • To investigate gene expression differences in the nucleus accumbens between mouse lines with high and low MA activity.

Main Methods:

  • Selective breeding of mice for high (HMACT) and low (LMACT) MA-induced activity.
  • Gene expression analysis using Affymetrix microarrays and quantitative polymerase chain reaction (qPCR).

Related Experiment Videos

  • Bioinformatic analysis using the WebQTL.org database to identify expression quantitative trait loci (eQTL).
  • Main Results:

    • Expression differences were observed for genes including Casein Kinase 1 Epsilon (Csnkle), Glutamate Receptor, Ionotropic, AMPA1 (GluR1), GABA B1 receptor (Gabbr1), and Dopamine- and cAMP-regulated phosphoprotein of 32 kDa (Darpp-32).
    • An eQTL for Csnkle on Chromosome 15 (LOD = 3.8) co-mapped with a bQTL for MA stimulation (LOD = 4.5).
    • This chromosomal region is also associated with cocaine sensitivity, suggesting a shared genetic basis for stimulant responses.

    Conclusions:

    • Altered gene expression, potentially due to gene expression polymorphisms, likely underlies the observed differences in MA sensitivity.
    • Combining genetic mapping, gene expression analysis, and bioinformatics is a powerful approach for identifying genes influencing complex traits.
    • The identified genes, particularly Csnkle, are strong candidates for further research into drug abuse liability and stimulant response.