Discovery and Verification of Key Liver Cancer Genes and Alternative Splicing Events Based on Second-Generation Sequencing Data Analysis
| العنوان: | Discovery and Verification of Key Liver Cancer Genes and Alternative Splicing Events Based on Second-Generation Sequencing Data Analysis |
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| المؤلفون: | Yuxin Li, Chun-Lei Yu, Zhenxiang Yu, Guannan Wang, Yanxin Huang, Mengqi Cui, Luguo Sun, Ying Sun, Zhenbo Song, Miao Bai, Lihua Zheng, Yongli Bao |
| المصدر: | Biological and Pharmaceutical Bulletin. 44:1433-1444 |
| بيانات النشر: | Pharmaceutical Society of Japan, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Carcinoma, Hepatocellular, Pharmaceutical Science, Kaplan-Meier Estimate, Computational biology, Disease, Biology, Liver disease, Cell Line, Tumor, Biomarkers, Tumor, medicine, Humans, RNA-Seq, Gene, Cell Proliferation, Pharmacology, Liver Neoplasms, Alternative splicing, Computational Biology, General Medicine, medicine.disease, Exon skipping, Biomarker (cell), Gene Expression Regulation, Neoplastic, Alternative Splicing, Liver, Hepatocellular carcinoma, Metallothionein, Liver cancer |
| الوصف: | Hepatocellular carcinoma (HCC) is the most common malignant liver disease in the world. Existing screening and early diagnosis methods are not highly sensitive for HCC, and patients are likely to develop the disease to the middle and advanced stages before being diagnosed. Therefore, finding new and efficient diagnosis and treatment methods has become an urgent problem. We aimed at finding and verifying new liver cancer markers by combining informatics analysis with experimental exploration to provide new ideas and methods for the diagnosis and treatment of clinical liver cancer. We used two different bioinformatic pipelines to analyze sequencing data of clinical liver cancer samples and identify differentially expressed genes and key variants after combining them with The Cancer Genome Atlas sequencing data. Then, we explored the functions and mechanisms of the key variants to identify potential liver cancer markers. Through bioinformatic analysis of sequencing data, 139 differentially expressed genes were found, including 53 upregulated genes and 86 downregulated genes. Through enrichment and alternative splicing event analysis of sequencing data, we found nine key variants with exon skipping events. Metallothionein 1E (MT1E)-203 was found to be a key variant that influenced cell proliferation through the p53 cell cycle pathway through cell viability and proliferation assays, and MT1E-203 lost the ability to bind two zinc ions due to exon skipping according to the structure prediction of MT1E-203. MT1E-203 is a potential biomarker for HCC and may play an important role in the diagnosis and treatment of HCC. |
| تدمد: | 1347-5215 0918-6158 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03b4c8e4ca1c4e7f5da20ecd73f783b https://doi.org/10.1248/bpb.b21-00241 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a03b4c8e4ca1c4e7f5da20ecd73f783b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13475215 09186158 |
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