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    <title>Repository Community: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/299</link>
    <description />
    <items>
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        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/61070" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/61047" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60905" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/59929" />
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    <dc:date>2026-11-05T06:41:28Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/61070">
    <title>Artificial Intelligence and Multi-Omics Integration for Parkinson’s Disease Drug Development</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/61070</link>
    <description>Title: Artificial Intelligence and Multi-Omics Integration for Parkinson’s Disease Drug Development
Author(s): Lee, Seulah; Kim, Jaehoon; Jung, Hae-Un; Kim, Dayea; Cho, Eunji; Kim, Ye-Jin; Ji, Young Rae; Go, Younghoon; Song, Parkyong; Oh, Yong-Seok; Yoon, Jong Hyuk
Abstract: Recent advances underscore the potential of integrating multiomics, such as genomics, transcriptomics, proteomics, and metabolomics, and artificial intelligence to overcome limitations regarding early diagnosis and treatment of Parkinson&amp;apos;s disease. Developing a comprehensive view of the complex molecular landscape of Parkinson&amp;apos;s disease through artificial intelligence algorithms would enable the processing of extensive multiomics datasets. Applying these integrative technologies to Parkinson&amp;apos;s disease research would improve early diagnosis, support personalized therapeutic strategies, and drug discovery. This review explores the transformative potential of integrating multiomics and artificial intelligence in Parkinson&amp;apos;s disease, outlining a framework to advance diagnosis, treatment, and drug development in neurodegenerative diseases.</description>
    <dc:date>2026-04-30T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/61047">
    <title>FSCV 데이터의 이차미분기반 신경전달물질의 농도 측정 결과를 제공하는 신경전달물질 농도 측정 장치 및 방법</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/61047</link>
    <description>Title: FSCV 데이터의 이차미분기반 신경전달물질의 농도 측정 결과를 제공하는 신경전달물질 농도 측정 장치 및 방법
Author(s): 최지웅; 오용석; 강성탁; 정윤호; 박정락</description>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60905">
    <title>Translational Profiling of Drd2-Expressing Populations Reveals Molecular Heterogeneity of Dentate Gyrus Mossy Cells along the Dorsoventral Axis</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60905</link>
    <description>Title: Translational Profiling of Drd2-Expressing Populations Reveals Molecular Heterogeneity of Dentate Gyrus Mossy Cells along the Dorsoventral Axis
Author(s): Jeong, Minseok; Jang, Jin-Hyeok; Oh, Seo-Jin; Choi, Ji-Woong; Oh, Yong-Seok
Abstract: Hilar mossy cells (MCs) are crucial for integrating and propagating signals across the hippocampal dorsoventral axis, mediating cognitive and affective processing. While MCs exhibit profound dorsoventral differences in their projections, physiology, and behavioral roles, the molecular basis underlying this functional specialization remains largely unexplored. To address this gap, we used translating ribosome affinity purification (TRAP) in male mice to systematically compare the translatome of Drd2-expressing, MC-enriched populations along the dorsoventral axis. This analysis revealed distinct translational signatures with 1,442 genes enriched in dorsal and 1,337 genes in ventral Drd2-expressing, MC-enriched populations. Pathway analysis demonstrated significant functional segregation along the dorsoventral axis. The dorsal population is notably enriched for genes linked to neuronal connectivity and synaptic transmission, whereas the ventral counterpart shows enrichment in genes associated with energy metabolism and cellular maintenance. Specifically, we identified a subset of dorsal enriched genes, including neurotransmitter receptors, ion channels, and axon guidance regulators, contrasting with ventral enriched genes highly related to glucose/fatty acid metabolism, oxidative phosphorylation, and exocytosis. We further predicted distinct sets of upstream transcriptional regulators activated in each subpopulation, providing insights into the regulatory networks that may drive molecular divergence. Our findings provide a translatomic basis for the dorsoventral heterogeneity of Drd2-expressing neurons that include MCs, offering molecular signatures associated with their differential contributions to hippocampal function.</description>
    <dc:date>2026-06-30T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/59929">
    <title>Translational reprogramming of dentate gyrus peptidergic circuitry gates antidepressant efficacy</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/59929</link>
    <description>Title: Translational reprogramming of dentate gyrus peptidergic circuitry gates antidepressant efficacy
Author(s): Oh, Seo-Jin; Jang, Jin-Hyeok; Roussarie, Jean-Pierre; Jang, Kyung-un; Jeong, Min-Seok; Jo, Yeon Suk; Shin, Chang Hun; Choi, Hongsoo; Lee, Kwang; Yoon, Jong-Hyeok; Oh, Yong-Seok
Abstract: Selective serotonin reuptake inhibitors (SSRIs) exhibit delayed therapeutic effects despite rapid serotonin elevation, suggesting their dependence on slow neuroplastic adaptations. Here, we demonstrate that antidepressant actions require cell type-specific translational regulation of the peptidergic signaling in the dentate gyrus (DG). Chronic, but not acute, treatment with an SSRI fluoxetine (FLX) selectively enhances translational activity in hilar mossy cells (MCs), with no detectable changes in neighboring granule cells (GCs). Combining Translating Ribosome Affinity Purification (TRAP) with RNA sequencing revealed distinct baseline translatomes between these two glutamatergic neurons and identified FLX-induced remodeling of peptidergic pathways in the DG. Crucially, we discovered MC-specific enrichment of the neuropeptide PACAP, which undergoes translation-dependent upregulation by chronic FLX treatment. This PACAP induction mediates neuroadaptive plasticity in PAC1 receptor-expressing GCs and drives behavioral responses prominently in female mice during prolonged FLX administration. Our findings establish cell type-specific translational reprogramming as a novel mechanistic framework for antidepressant action.</description>
    <dc:date>2026-01-31T15:00:00Z</dc:date>
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