Published December 10, 2015
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Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity
Creators
- 1. Boston University
- 2. University of Chicago
- 3. Stanford University
Description
Psychostimulant addiction is a heritable substance use disorder; however its genetic basis is almost entirely unknown. Quantitative trait locus (QTL) mapping in mice offers a complementary approach to human genome-wide association studies and can facilitate environment control, statistical power, novel gene discovery, and neurobiological mechanisms. We used interval-specific congenic mouse lines carrying various segments of chromosome 11 from the DBA/2J strain on an isogenic C57BL/6J background to positionally clone a 206 kb QTL (50,185,512–50,391,845 bp) that was causally associated with a reduction in the locomotor stimulant response to methamphetamine (2 mg/kg, i.p.; DBA/2J < C57BL/6J)—a non-contingent, drug-induced behavior that is associated with stimulation of the dopaminergic reward circuitry. This chromosomal region contained only two protein coding genes—heterogeneous nuclear ribonucleoprotein, H1 (Hnrnph1) and RUN and FYVE domain-containing 1 (Rufy1). Transcriptome analysis via mRNA sequencing in the striatum implicated a neurobiological mechanism involving a reduction in mesolimbic innervation and striatal neurotransmission. For instance, Nr4a2 (nuclear receptor subfamily 4, group A, member 2), a transcription factor crucial for midbrain dopaminergic neuron development, exhibited a 2.1-fold decrease in expression (DBA/2J < C57BL/6J; p 4.2 x 10−15). Transcription activator-like effector nucleases (TALENs)-mediated introduction of frameshift deletions in the first coding exon of Hnrnph1, but not Rufy1, recapitulated the reduced methamphetamine behavioral response, thus identifying Hnrnph1 as a quantitative trait gene for methamphetamine sensitivity. These results define a novel contribution of Hnrnph1 to neurobehavioral dysfunction associated with dopaminergic neurotransmission. These findings could have implications for understanding the genetic basis of methamphetamine addiction in humans and the development of novel therapeutics for prevention and treatment of substance abuse and possibly other psychiatric disorders.
Data availability
The F2 data and R code are publicly available on github (https://github.com/wevanjohnson/hnrnph1). The transcriptome dataset, and code for RNA-seq analysis are available via NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=cxkdoeaudvyhlqt&acc=GSE66366).
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journal.pgen.1005713.pdf
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Additional details
Identifiers
- DOI
- 10.1371/journal.pgen.1005713
- Other
- oai:uchicago.tind.io:7477
Funding
- National Institute on Drug Abuse
- R00DA029635
- National Institute on Drug Abuse
- R01DA039168
- National Institute on Drug Abuse
- R01DA021336
- National Human Genome Research Institute
- R01HG005692
- National Institute of General Medical Sciences
- T32GM008541
- Burroughs Wellcome Fund
- Transformative Training Program in Addiction Science