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Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
by
Jia, Yufang
, Li, Guodan
, Huang, Hui
, Yan, Xiuwen
, Zhang, Haitao
, Li, Yuanqi
, Yu, Huajun
, Mo, Ting
, Tu, Mingjin
, Wei, Ting
, Huang, Xiaoqin
in
Apoptosis
/ Autophagy
/ Biochemistry
/ Bioinformatics
/ Bioinformatics analysis
/ Cancer
/ Carcinoma, Hepatocellular - genetics
/ Cell Biology
/ Cells
/ Complement component C3
/ Computational Biology - methods
/ DAPK1
/ Death-associated protein kinase
/ Death-Associated Protein Kinases - genetics
/ Differential gene
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genetic aspects
/ Hepatocellular carcinoma
/ Hepatoma
/ Humans
/ Information processing
/ Kinases
/ Kininogens
/ Leukemia
/ Liver cancer
/ Liver Neoplasms - genetics
/ Metalloproteinase
/ Metastasis
/ Molecular Biology
/ Ontology
/ Protein interaction
/ Protein Interaction Maps - genetics
/ Protein kinases
/ Protein-protein interactions
/ Proteins
/ Related gene
/ Software
/ Tissue inhibitor of metalloproteinase 1
2022
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Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
by
Jia, Yufang
, Li, Guodan
, Huang, Hui
, Yan, Xiuwen
, Zhang, Haitao
, Li, Yuanqi
, Yu, Huajun
, Mo, Ting
, Tu, Mingjin
, Wei, Ting
, Huang, Xiaoqin
in
Apoptosis
/ Autophagy
/ Biochemistry
/ Bioinformatics
/ Bioinformatics analysis
/ Cancer
/ Carcinoma, Hepatocellular - genetics
/ Cell Biology
/ Cells
/ Complement component C3
/ Computational Biology - methods
/ DAPK1
/ Death-associated protein kinase
/ Death-Associated Protein Kinases - genetics
/ Differential gene
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genetic aspects
/ Hepatocellular carcinoma
/ Hepatoma
/ Humans
/ Information processing
/ Kinases
/ Kininogens
/ Leukemia
/ Liver cancer
/ Liver Neoplasms - genetics
/ Metalloproteinase
/ Metastasis
/ Molecular Biology
/ Ontology
/ Protein interaction
/ Protein Interaction Maps - genetics
/ Protein kinases
/ Protein-protein interactions
/ Proteins
/ Related gene
/ Software
/ Tissue inhibitor of metalloproteinase 1
2022
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Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
by
Jia, Yufang
, Li, Guodan
, Huang, Hui
, Yan, Xiuwen
, Zhang, Haitao
, Li, Yuanqi
, Yu, Huajun
, Mo, Ting
, Tu, Mingjin
, Wei, Ting
, Huang, Xiaoqin
in
Apoptosis
/ Autophagy
/ Biochemistry
/ Bioinformatics
/ Bioinformatics analysis
/ Cancer
/ Carcinoma, Hepatocellular - genetics
/ Cell Biology
/ Cells
/ Complement component C3
/ Computational Biology - methods
/ DAPK1
/ Death-associated protein kinase
/ Death-Associated Protein Kinases - genetics
/ Differential gene
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genetic aspects
/ Hepatocellular carcinoma
/ Hepatoma
/ Humans
/ Information processing
/ Kinases
/ Kininogens
/ Leukemia
/ Liver cancer
/ Liver Neoplasms - genetics
/ Metalloproteinase
/ Metastasis
/ Molecular Biology
/ Ontology
/ Protein interaction
/ Protein Interaction Maps - genetics
/ Protein kinases
/ Protein-protein interactions
/ Proteins
/ Related gene
/ Software
/ Tissue inhibitor of metalloproteinase 1
2022
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Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
Journal Article
Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
2022
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Overview
The mechanism through which death-associated protein kinase 1 (DAPK1) causes hepatocellular carcinoma (HCC) progression remains unclear. In this study, we aimed to identify key proteins that were altered after DAPK1 knockout.
Stable DAPK1 knockout HCC cell lines were established, then the differentially expressed genes (DEGs) of HCC were screened using the NetworkAnalyst database and enriched using the Metascape software. Protein-protein interaction networks (PPIs) were analyzed and visualized using the STRING database expansion.
In total, 732 differentially expressed genes were identified, including 415 upregulated genes and 317 downregulated genes. Through Cytoscape software scoring, 10 pivotal genes were found to be closely related to changes in DAPK1 expression; Kininogen-1 (KNG1), Complement C3 (C3), Metalloproteinase inhibitor 1 (TIMP1), and Alpha-2-HS-glycoprotein (AHSG) were the most strongly associated with DAPK1 expression changes. Moreover, western blot analysis results revealed that changes in the levels of proteins encoded by the four key genes after DAPK1 knockout were consistent with those seen in the database screening.
These results provide a direction for further studies on the DAPK1 gene and on the mechanism through which DAPK1 leads to hepatocellular carcinoma development.
Publisher
PeerJ. Ltd,PeerJ, Inc,PeerJ Inc
Subject
/ Cancer
/ Carcinoma, Hepatocellular - genetics
/ Cells
/ Computational Biology - methods
/ DAPK1
/ Death-associated protein kinase
/ Death-Associated Protein Kinases - genetics
/ Gene Expression Profiling - methods
/ Genes
/ Hepatoma
/ Humans
/ Kinases
/ Leukemia
/ Ontology
/ Protein Interaction Maps - genetics
/ Protein-protein interactions
/ Proteins
/ Software
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