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Dive into the research topics where R.A. Harris is active.

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Featured researches published by R.A. Harris.


Genes, Brain and Behavior | 2012

Behavioral Actions of Alcohol: Phenotypic Relations from Multivariate Analysis of Mutant Mouse Data

Yuri A. Blednov; R. D. Mayfield; John K. Belknap; R.A. Harris

Behavioral studies on genetically diverse mice have proven powerful for determining relationships between phenotypes and have been widely used in alcohol research. Most of these studies rely on naturally occurring genetic polymorphisms among inbred strains and selected lines. Another approach is to introduce variation by engineering single‐gene mutations in mice. We have tested 37 different mutant mice and their wild‐type controls for a variety (31) of behaviors and have mined this data set by K‐means clustering and analysis of correlations. We found a correlation between a stress‐related response (activity in a novel environment) and alcohol consumption and preference for saccharin. We confirmed several relationships detected in earlier genetic studies, including positive correlation of alcohol consumption with saccharin consumption and negative correlations with conditioned taste aversion and alcohol withdrawal severity. Introduction of single‐gene mutations either eliminated or greatly diminished these correlations. The three tests of alcohol consumption used (continuous two‐bottle choice and two limited access tests: drinking in the dark and sustained high alcohol consumption) share a relationship with saccharin consumption, but differ from each other in their correlation networks. We suggest that alcohol consumption is controlled by multiple physiological systems where single‐gene mutations can disrupt the networks of such systems.


Elsevier Inc. | 2014

Neurobiology of Alcohol Dependence

Antonio Noronha; Changhai Cui; R.A. Harris; John C. Crabbe

In recent years, alcoholism has emerged as one of the major addiction disorders worldwide. Alterations in gene expression together with environmental factors have been shown to play a crucial role in the development of alcoholism. A common thread that links these different phenomena is epigenetics, which may be defined as genetic modifications that occur in the absence of DNA sequence changes. Recent in vitro and in vivo data have shown that different epigenetic modifications can occur in response to both acute and chronic alcohol exposure. These changes can affect gene expression and ultimately brain circuitry that control alcohol tolerance, withdrawal, and dependence. Epigenetic modifications such as DNA methylation, histone acetylation and methylation, and microRNA (miRNA) regulation play a role in alcoholism via mediating effects of alcohol in different tissues or altering alcohol intake. This review focuses on the most current brain research in the rapidly growing field of epigenetics and alcoholism.In recent years, alcoholism has emerged as one of the major addiction disorders worldwide. Alterations in gene expression together with environmental factors have been shown to play a crucial role in the development of alcoholism. A common thread that links these different phenomena is epigenetics, which may be defined as genetic modifications that occur in the absence of DNA sequence changes. Recent in vitro and in vivo data have shown that different epigenetic modifications can occur in response to both acute and chronic alcohol exposure. These changes can affect gene expression and ultimately brain circuitry that control alcohol tolerance, withdrawal, and dependence. Epigenetic modifications such as DNA methylation, histone acetylation and methylation, and microRNA (miRNA) regulation play a role in alcoholism via mediating effects of alcohol in different tissues or altering alcohol intake. This review focuses on the most current brain research in the rapidly growing field of epigenetics and alcoholism.


Genes, Brain and Behavior | 2007

Defining the dopamine transporter proteome by convergent biochemical and in silico analyses

R. Maiya; Igor Ponomarev; K. D. Linse; R.A. Harris; R. D. Mayfield

Monoamine transporters play a key role in neuronal signaling by mediating reuptake of neurotransmitters from the synapse. The function of the dopamine transporter (DAT), an important member of this family of transporters, is regulated by multiple signaling mechanisms, which result in altered cell surface trafficking of DAT. Protein–protein interactions are likely critical for this mode of transporter regulation. In this study, we identified proteins associated with DAT by immunoprecipitation (IP) followed by mass spectrometry. We identified 20 proteins with diverse cellular functions that can be classified as trafficking proteins, cytoskeletal proteins, ion channels and extracellular matrix‐associated proteins. DAT was found to associate with the voltage‐gated potassium channel Kv2.1 and synapsin Ib, a protein involved in regulating neurotransmitter release. An in silico analysis provided evidence for common transcriptional regulation of the DAT proteome genes. In summary, this study identified a network of proteins that are primary candidates for functional regulation of the DAT, an important player in mechanisms of mental disorders and drug addiction.


Frontiers in Neuroscience | 2015

Epigenetic modulation of brain gene networks for cocaine and alcohol abuse

Sean P. Farris; R.A. Harris; Igor Ponomarev

Cocaine and alcohol are two substances of abuse that prominently affect the central nervous system (CNS). Repeated exposure to cocaine and alcohol leads to longstanding changes in gene expression, and subsequent functional CNS plasticity, throughout multiple brain regions. Epigenetic modifications of histones are one proposed mechanism guiding these enduring changes to the transcriptome. Characterizing the large number of available biological relationships as network models can reveal unexpected biochemical relationships. Clustering analysis of variation from whole-genome sequencing of gene expression (RNA-Seq) and histone H3 lysine 4 trimethylation (H3K4me3) events (ChIP-Seq) revealed the underlying structure of the transcriptional and epigenomic landscape within hippocampal postmortem brain tissue of drug abusers and control cases. Distinct sets of interrelated networks for cocaine and alcohol abuse were determined for each abusive substance. The network approach identified subsets of functionally related genes that are regulated in agreement with H3K4me3 changes, suggesting cause and effect relationships between this epigenetic mark and gene expression. Gene expression networks consisted of recognized substrates for addiction, such as the dopamine- and cAMP-regulated neuronal phosphoprotein PPP1R1B/DARPP-32 and the vesicular glutamate transporter SLC17A7/VGLUT1 as well as potentially novel molecular targets for substance abuse. Through a systems biology based approach our results illustrate the utility of integrating epigenetic and transcript expression to establish relevant biological networks in the human brain for addiction. Future work with laboratory models may clarify the functional relevance of these gene networks for cocaine and alcohol, and provide a framework for the development of medications for the treatment of addiction.


International Review of Neurobiology | 2016

Genes and Alcohol Consumption: Studies with Mutant Mice

Jody Mayfield; M.A. Arends; R.A. Harris; Yuri A. Blednov

In this chapter, we review the effects of global null mutant and overexpressing transgenic mouse lines on voluntary self-administration of alcohol. We examine approximately 200 publications pertaining to the effects of 155 mouse genes on alcohol consumption in different drinking models. The targeted genes vary in function and include neurotransmitter, ion channel, neuroimmune, and neuropeptide signaling systems. The alcohol self-administration models include operant conditioning, two- and four-bottle choice continuous and intermittent access, drinking in the dark limited access, chronic intermittent ethanol, and scheduled high alcohol consumption tests. Comparisons of different drinking models using the same mutant mice are potentially the most informative, and we will highlight those examples. More mutants have been tested for continuous two-bottle choice consumption than any other test; of the 137 mouse genes examined using this model, 97 (72%) altered drinking in at least one sex. Overall, the effects of genetic manipulations on alcohol drinking often depend on the sex of the mice, alcohol concentration and time of access, genetic background, as well as the drinking test.


Neuroscience Letters | 2011

Testing the silence of mutations: Transcriptomic and behavioral studies of GABAA receptor α1 and α2 subunit knock-in mice

R.A. Harris; Elizabeth Osterndorff-Kahanek; Igor Ponomarev; Gregg E. Homanics; Yuri A. Blednov

Knock-in mice were constructed with mutations in the α1 (H(270), A(277)) and α2 (H(270), A(277)) subunits of the GABAA receptor, which resulted in receptors that lacked modulation by ethanol but retained normal responses to GABA in vitro. A key question is whether these mutant receptors also function normally in vivo. Perturbation of brain function was evaluated by gene expression profiling in the cerebral cortex and by behavioral pharmacology experiments with GABAergic drugs. Analysis of individual transcripts found only six transcripts that were changed in α1 knock-in mice and three in the α2 mutants (p<0.05, corrected for multiple comparisons). Two transcripts that are sensitive to neuronal activity, Arc and Fos, increased about 250% in the α2 mutants, and about 50% in the α1 mutants. Behavioral effects (loss of righting reflex, rotarod) of flurazepam and pentobarbital were not different between α2 mutants and wild-type, but they were enhanced for α1 knock-in mice. These results indicate that introduction of these mutations in the α2 subunit of the GABAA receptor does not produce marked perturbation of brain function, as measured by gene expression and GABAergic behavioral responses, but the same mutations in the α1 subunit produce more pronounced changes, especially in GABAergic function.


International Review of Neurobiology | 2015

Behavioral and Genetic Evidence for GIRK Channels in the CNS

Jody Mayfield; Yuri A. Blednov; R.A. Harris

G protein-coupled inwardly rectifying potassium (GIRK) channels are widely expressed throughout the brain and mediate the inhibitory effects of many neurotransmitters. As a result, these channels are important for normal CNS function and have also been implicated in Down syndrome, Parkinsons disease, psychiatric disorders, epilepsy, and drug addiction. Knockout mouse models have provided extensive insight into the significance of GIRK channels under these conditions. This review examines the behavioral and genetic evidence from animal models and genetic association studies in humans linking GIRK channels with CNS disorders. We further explore the possibility that subunit-selective modulators and other advanced research tools will be instrumental in establishing the role of individual GIRK subunits in drug addiction and other relevant CNS diseases and in potentially advancing treatment options for these disorders.


Genes, Brain and Behavior | 2016

Alcohol consumption induces global gene expression changes in VTA dopaminergic neurons

Ketan Marballi; N. K. Genabai; Yuri A. Blednov; R.A. Harris; Igor Ponomarev

Alcoholism is associated with dysregulation in the neural circuitry that mediates motivated and goal‐directed behaviors. The dopaminergic (DA) connection between the ventral tegmental area (VTA) and the nucleus accumbens is viewed as a critical component of the neurocircuitry mediating alcohols rewarding and behavioral effects. We sought to determine the effects of binge alcohol drinking on global gene expression in VTA DA neurons. Alcohol‐preferring C57BL/6J × FVB/NJ F1 hybrid female mice were exposed to a modified drinking in the dark (DID) procedure for 3 weeks, while control animals had access to water only. Global gene expression of laser‐captured tyrosine hydroxylase (TH)‐positive VTA DA neurons was measured using microarrays. A total of 644 transcripts were differentially expressed between the drinking and nondrinking mice, and 930 transcripts correlated with alcohol intake during the last 2 days of drinking in the alcohol group. Bioinformatics analysis of alcohol‐responsive genes identified molecular pathways and networks perturbed in DA neurons by alcohol consumption, which included neuroimmune and epigenetic functions, alcohol metabolism and brain disorders. The majority of genes with high and specific expression in DA neurons were downregulated by or negatively correlated with alcohol consumption, suggesting a decreased activity of DA neurons in high drinking animals. These changes in the DA transcriptome provide a foundation for alcohol‐induced neuroadaptations that may play a crucial role in the transition to addiction.


BMC Neuroscience | 2012

Chronic self-administration of alcohol results in elevated ΔFosB: comparison of hybrid mice with distinct drinking patterns

Angela Renee Ozburn; R. D. Mayfield; Igor Ponomarev; Theresa A. Jones; Yuri A. Blednov; R.A. Harris

BackgroundThe inability to reduce or regulate alcohol intake is a hallmark symptom for alcohol use disorders. Research on novel behavioral and genetic models of experience-induced changes in drinking will further our knowledge on alcohol use disorders. Distinct alcohol self-administration behaviors were previously observed when comparing two F1 hybrid strains of mice: C57BL/6J x NZB/B1NJ (BxN) show reduced alcohol preference after experience with high concentrations of alcohol and periods of abstinence while C57BL/6J x FVB/NJ (BxF) show sustained alcohol preference. These phenotypes are interesting because these hybrids demonstrate the occurrence of genetic additivity (BxN) and overdominance (BxF) in ethanol intake in an experience dependent manner. Specifically, BxF exhibit sustained alcohol preference and BxN exhibit reduced alcohol preference after experience with high ethanol concentrations; however, experience with low ethanol concentrations produce sustained alcohol preference for both hybrids. In the present study, we tested the hypothesis that these phenotypes are represented by differential production of the inducible transcription factor, ΔFosB, in reward, aversion, and stress related brain regions.ResultsChanges in neuronal plasticity (as measured by ΔFosB levels) were experience dependent, as well as brain region and genotype specific, further supporting that neuronal circuitry underlies motivational aspects of ethanol consumption. BxN mice exhibiting reduced alcohol preference had lower ΔFosB levels in the Edinger-Westphal nucleus than mice exhibiting sustained alcohol preference, and increased ΔFosB levels in central medial amygdala as compared with control mice. BxN mice showing sustained alcohol preference exhibited higher ΔFosB levels in the ventral tegmental area, Edinger-Westphal nucleus, and amygdala (central and lateral divisions). Moreover, in BxN mice ΔFosB levels in the Edinger-Westphal nucleus and ventral tegmental regions significantly positively correlated with ethanol preference and intake. Additionally, hierarchical clustering analysis revealed that many ethanol-naïve mice with overall low ΔFosB levels are in a cluster, whereas many mice displaying sustained alcohol preference with overall high ΔFosB levels are in a cluster together.ConclusionsBy comparing and contrasting two alcohol phenotypes, this study demonstrates that the reward- and stress-related circuits (including the Edinger-Westphal nucleus, ventral tegmental area, amygdala) undergo significant plasticity that manifests as reduced alcohol preference.


Genes, Brain and Behavior | 2004

Convergent analysis of cDNA and short oligomer microarrays, mouse null mutants and bioinformatics resources to study complex traits

Igor Ponomarev; G. L. Schafer; Yuri A. Blednov; Robert W. Williams; Vishwanath R. Iyer; R.A. Harris

Gene expression data sets have recently been exploited to study genetic factors that modulate complex traits. However, it has been challenging to establish a direct link between variation in patterns of gene expression and variation in higher order traits such as neuropharmacological responses and patterns of behavior. Here we illustrate an approach that combines gene expression data with new bioinformatics resources to discover genes that potentially modulate behavior. We have exploited three complementary genetic models to obtain convergent evidence that differential expression of a subset of genes and molecular pathways influences ethanol‐induced conditioned taste aversion (CTA). As a first step, cDNA microarrays were used to compare gene expression profiles of two null mutant mouse lines with difference in ethanol‐induced aversion. Mice lacking a functional copy of G protein‐gated potassium channel subunit 2 (Girk2) show a decrease in the aversive effects of ethanol, whereas preproenkephalin (Penk) null mutant mice show the opposite response. We hypothesize that these behavioral differences are generated in part by alterations in expression downstream of the null alleles. We then exploited the WebQTL databases to examine the genetic covariance between mRNA expression levels and measurements of ethanol‐induced CTA in BXD recombinant inbred (RI) strains. Finally, we identified a subset of genes and functional groups associated with ethanol‐induced CTA in both null mutant lines and BXD RI strains. Collectively, these approaches highlight the phosphatidylinositol signaling pathway and identify several genes including protein kinase C beta isoform and preproenkephalin in regulation of ethanol‐ induced conditioned taste aversion. Our results point to the increasing potential of the convergent approach and biological databases to investigate genetic mechanisms of complex traits.

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Yuri A. Blednov

University of Texas at Austin

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Igor Ponomarev

University of Texas at Austin

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R. D. Mayfield

University of Texas at Austin

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Sean P. Farris

University of Texas at Austin

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G. L. Schafer

University of Texas at Austin

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Jody Mayfield

University of Texas at Austin

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Ketan Marballi

University of Texas at Austin

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R.D. Mayfield

University of Texas at Austin

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Robert W. Williams

University of Tennessee Health Science Center

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Vishwanath R. Iyer

University of Texas at Austin

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