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DC Field | Value | Language |
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dc.contributor.author | Aminuddin, Mohamad Zafran | - |
dc.date.accessioned | 2025-05-08T04:22:52Z | - |
dc.date.available | 2025-05-08T04:22:52Z | - |
dc.date.issued | 2025-01-31 | - |
dc.identifier.uri | http://repository.i3l.ac.id/jspui/handle/123456789/1272 | - |
dc.description.abstract | The lncRNA XIST was identified to play a core role in regulating gene expression and cancer development. XIST is known to be an X-chromosome inactivation (XCI) which silences one of the X-chromosomes. The current study is thus an in silico investigation of XIST expression status and associated genes in some types of cancer. Computational tools, including GEPIA2, UALCAN, cBioPortal, UCSC Xena, KMplotter, StringDB, Metacore, and IPA were used to make a systematic analysis of the XIST expression, gender-based comparisons, and association studies with proteins linked to XIST. Differential expression analysis, survival analysis, and pathway enrichment studies will be performed to validate findings and identify potential therapeutic targets. This study provides important insights based on in-silico analysis, experimental validation is crucial to confirm the findings and better understand the underlying biological mechanisms of XIST in colon adenocarcinoma (COAD). These findings emphasize the subtle role of XIST in COAD and suggest further research to understand its impact on cancer biology and possibly its role as a biomarker. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Indonesia International Institute for Life-Sciences | en_US |
dc.relation.ispartofseries | EP BI-009;EP106 | - |
dc.subject | COAD | en_US |
dc.subject | gene biomarker | en_US |
dc.subject | data mining | en_US |
dc.subject | In-silico | en_US |
dc.subject | XIST | en_US |
dc.title | The Role of lncRNA XIST in Cancer: An In-Silico Approach | en_US |
dc.type | Working Paper | en_US |
Appears in Collections: | BI |
Files in This Item:
File | Description | Size | Format | |
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Mohamad Zafran Aminuddin.pdf Restricted Access | 5.98 MB | Adobe PDF | View/Open Request a copy |
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