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        <identifier>oai:www.ideals.illinois.edu:2142/90866</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
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          <dc:type>text</dc:type>
          <dc:contributor>Rodriguez-Zas, Sandra</dc:contributor>
          <dc:contributor>Rodriguez-Zas, Sandra</dc:contributor>
          <dc:contributor>Wheeler, Matthew</dc:contributor>
          <dc:contributor>Villamil, Maria</dc:contributor>
          <dc:contributor>Steelman, Andrew</dc:contributor>
          <dc:creator>Caetano, Kelsey</dc:creator>
          <dc:date>2016-07-07T21:04:23Z</dc:date>
          <dc:date>2016-07-07T21:04:23Z</dc:date>
          <dc:date>2018-07-08T09:15:33Z</dc:date>
          <dc:date>2016-04-20</dc:date>
          <dc:date>2016-05</dc:date>
          <dc:description>Addiction  to  activity  and  to  psychoactive  substances  share  psychologically  and physiological  characteristics.  A  transcriptome  study  compared  a  mouse  line  selected  for high  voluntary  activity  to  a  control  line  in  environments  restricting  or  enabling  a rewarding   activity.   Results   offered   insights   into   genetic   factors   behind   activity dependence  and  provided  a  model  for  understanding  addiction  and  other  reward-dependent behaviors.Most   genes   differentially   expressed   betweenactivity   genotypes   were   only moderately   differentially   expressed   between   activity   environments,   suggesting   that environmental effects were not confounded with activity genotype effects. Adora2a had a significant  genotype-by-environment  interaction  effect evidenced  by  over-expression  in the  activity  genotype  relative  to  control  in  high  activity  environment  and  under-expression  in  the  low  activity  environment.Our  findings  of  differentially  expressed genes  related  to  dopaminergic  transmission  between  activity  genotypes  support  the association  between  these  genes  and  activity.  Acentral  theme  from  the  functional analysis  of  activity  genotype-environment  was  neuron  morphogenesis.  Gene  network analysis  identified  connected  genes  that  exhibited  similar  (e.g.  Lhx9)  and  opposite  (e.g. Nrgn)   expression   patterns   between   activity   genotypes   across   reward   availability environment.Our  findings  suggest  that  some  transcriptomic  changes  in  mice  selected  for  high voluntary  activity  are  shared  with  other  reward-dependent  behaviors.  Results  from  this study  support  that  high  voluntary  activity  selection  lines  in  mice  are  a  helpful  model  to understand  molecular  mechanisms  behind  addition. Also,  identification  of  genes  and biological  processes  associated  with  both  high  voluntary activity  and  the  pleasurable neurological response to physical activity may allow forthe development of drugs which make  it  more  pleasurable  for  people  to  exercise  or  less  pleasurable  to  be  sedentary  as  a treatment approach for overweight/obesity as well as a way to improve health overall in the general population.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01</dc:description>
          <dc:description>The student, Kelsey Caetano, accepted the attached license on 2016-02-04 at 00:37.</dc:description>
          <dc:description>The student, Kelsey Caetano, submitted this Dissertation for approval on 2016-02-04 at 01:33.</dc:description>
          <dc:description>This Dissertation was approved for publication on 2016-04-20 at 10:29.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #9066 on 2016-07-07 at 14:16:02</dc:description>
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CAETANO-DISSERTATION-2016.pdf: 11077150 bytes, checksum: 78c887b356d05e75284a626adcc612e9 (MD5)
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  Previous issue date: 2016-04-20</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 93219
Lift date: 2018-07-07T21:04:32Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 93219
Lift date: 2018-07-07T21:14:52Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 93219
Lift date: 2018-07-07T21:18:16Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 93219 on 2018-07-08T09:15:33Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/90866</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2016 Kelsey Caetano</dc:rights>
          <dc:subject>Bioinformatics</dc:subject>
          <dc:subject>Computational Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Next-Generation Sequencing</dc:subject>
          <dc:subject>RNA-Sequencing</dc:subject>
          <dc:title>Applications of next-generation sequencing technologies and advanced analytical methods to understand gene by environment interactions</dc:title>
          <degree>
            <department>Animal Sciences</department>
            <discipline>Animal Sciences</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
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