A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease
This abstract presents a comprehensive study investigating the molecular mechanisms underlying Huntington’s disease (HD) by integrating gene expression profiles, network analysis, and literature validation. Thirteen genes associated with HD were identified, with particular focus on HAND1, HAND2,...
| Autor principal: | |
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| Format: | Thesis |
| Idioma: | anglès |
| Publicat: |
AUW
2025
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| Accés en línia: | https://repository.auw.edu.bd/handle/123456789/279 |
| _version_ | 1857448870303236096 |
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| author | Humaira, Nazifa |
| author_facet | Humaira, Nazifa |
| author_sort | Humaira, Nazifa |
| collection | institutional Repository |
| description | This abstract presents a comprehensive study investigating the molecular mechanisms underlying
Huntington’s disease (HD) by integrating gene expression profiles, network analysis, and
literature validation. Thirteen genes associated with HD were identified, with particular focus on
HAND1, HAND2, HOXA5, HOXD10, HOX11, HOXD13, and NKX2-5, which exhibited
significant upregulation and implications in HD pathology. Additionally, seven microRNAs and
six long non-coding RNAs were linked to HD progression, offering potential therapeutic targets.
Machine learning validated the diagnostic potential of these components, with tissue-specific
analysis highlighting their relevance in frontal cortex tissue. Enrichment analysis emphasized the
involvement of these genes in neurogenesis and brain development, crucial processes affected in
HD pathogenesis. This study offers insights into the molecular landscape of HD and proposes a
novel approach for further elucidating disease mechanisms. |
| format | Thesis |
| id | 123456789-279 |
| institution | Asian University for Women |
| language | English |
| publishDate | 2025 |
| publisher | AUW |
| record_format | dspace |
| spelling | 123456789-2792026-02-18T06:09:46Z A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease Humaira, Nazifa This abstract presents a comprehensive study investigating the molecular mechanisms underlying Huntington’s disease (HD) by integrating gene expression profiles, network analysis, and literature validation. Thirteen genes associated with HD were identified, with particular focus on HAND1, HAND2, HOXA5, HOXD10, HOX11, HOXD13, and NKX2-5, which exhibited significant upregulation and implications in HD pathology. Additionally, seven microRNAs and six long non-coding RNAs were linked to HD progression, offering potential therapeutic targets. Machine learning validated the diagnostic potential of these components, with tissue-specific analysis highlighting their relevance in frontal cortex tissue. Enrichment analysis emphasized the involvement of these genes in neurogenesis and brain development, crucial processes affected in HD pathogenesis. This study offers insights into the molecular landscape of HD and proposes a novel approach for further elucidating disease mechanisms. 2025-04-30T11:26:27Z 2025-04-30T11:26:27Z 2024-05 Thesis https://repository.auw.edu.bd/handle/123456789/279 en application/pdf AUW |
| spellingShingle | Humaira, Nazifa A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title | A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title_full | A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title_fullStr | A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title_full_unstemmed | A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title_short | A Multi-Level Network Analysis Explores Key Molecular Regulators and Potential Biomarkers for Huntington's Disease |
| title_sort | multi level network analysis explores key molecular regulators and potential biomarkers for huntington s disease |
| url | https://repository.auw.edu.bd/handle/123456789/279 |
| work_keys_str_mv | AT humairanazifa amultilevelnetworkanalysisexploreskeymolecularregulatorsandpotentialbiomarkersforhuntingtonsdisease AT humairanazifa multilevelnetworkanalysisexploreskeymolecularregulatorsandpotentialbiomarkersforhuntingtonsdisease |