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Updated: Aug 15, 2026
An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
Comprehensive analysis of Apigetrin's effects on liver cancer cells: Insights from bioinformatics, in vitro studies,
Pritam Bhagwan Bhosale1, Abuyaseer Abusaliya1, Hun Hwan Kim1
1Department of Veterinary Medicine, Research Institute of Life Science, Gyeongsang National University, 501 Jinju-daero, Jinju, 52828, Republic of Korea.
Abstract:
Despite numerous attempts to understand the molecular mechanisms behind the development of liver cancer, it continues to pose a significant worldwide health challenge. Transcriptome sequencing, a powerful tool in molecular biology, has played a pivotal role in uncovering the intricate gene expression profiles underlying hepatocellular carcinoma (HCC). In the present study, we identified a total of 808 differentially expressed genes (DEGs), with 584 exhibiting downregulation, and 224 showing upregulation following apigetrin treatment. We utilized a combination of bioinformatics tools and platforms, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and mapping, Protein-Protein Interaction (PPI), and GEPIA. We found that DEGs were related to the apoptotic cell death process and identified hub genes, namely CASP8, RB1, and TGFBR2. These genes were further validated through both GEPIA analysis and western blot experiments. Our findings collectively demonstrate that apigetrin has the potential to modulate genes related to liver cancer and trigger molecular pathways that lead to apoptotic cell death in liver cancer cells. This study underscores the potential of apigetrin as an innovative treatment strategy for HCC, emphasizing the need for additional research to elucidate its mechanisms of action and evaluate its clinical efficacy.
Insights
Apigetrin treatment significantly altered gene expression in liver cancer cells, identifying key genes involved in apoptosis. This suggests apigetrin
Area of Science:
- Molecular Biology
- Oncology
- Bioinformatics
Background:
- Liver cancer, specifically hepatocellular carcinoma (HCC), remains a major global health concern.
- Understanding the molecular underpinnings of HCC is crucial for developing effective treatments.
- Transcriptome sequencing offers a powerful approach to investigate gene expression in cancer.
Purpose of the Study:
- To investigate the molecular effects of apigetrin on hepatocellular carcinoma (HCC) using transcriptome sequencing.
- To identify differentially expressed genes (DEGs) and key molecular pathways modulated by apigetrin in liver cancer.
- To evaluate the potential of apigetrin as a therapeutic agent for HCC.
Main Methods:
- Transcriptome sequencing was employed to analyze gene expression changes.
- Bioinformatics tools including Gene Ontology (GO), KEGG pathway analysis, and Protein-Protein Interaction (PPI) networks were utilized.
- Gene Expression Profiling Interactive Analysis (GEPIA) and western blot experiments were used for validation.
Main Results:
- A total of 808 differentially expressed genes (DEGs) were identified, with 584 downregulated and 224 upregulated following apigetrin treatment.
- DEGs were significantly associated with the apoptotic cell death pathway.
- Key hub genes (CASP8, RB1, TGFBR2) involved in apoptosis were identified and validated.
Conclusions:
- Apigetrin demonstrates potential in modulating genes associated with liver cancer development.
- Apigetrin can induce apoptotic cell death in liver cancer cells through specific molecular pathways.
- Further research is warranted to explore apigetrin's therapeutic potential and clinical efficacy for HCC.
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