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Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells

BACKGROUND: 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. METHODS: Stable DAPK1 knockout HCC cell lines were established...

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Autores principales: Li, Yuanqi, Huang, Hui, Yu, Huajun, Mo, Ting, Wei, Ting, Li, Guodan, Jia, Yufang, Huang, Xiaoqin, Tu, Mingjin, Yan, Xiuwen, Zhang, Haitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354754/
https://www.ncbi.nlm.nih.gov/pubmed/35935258
http://dx.doi.org/10.7717/peerj.13711
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author Li, Yuanqi
Huang, Hui
Yu, Huajun
Mo, Ting
Wei, Ting
Li, Guodan
Jia, Yufang
Huang, Xiaoqin
Tu, Mingjin
Yan, Xiuwen
Zhang, Haitao
author_facet Li, Yuanqi
Huang, Hui
Yu, Huajun
Mo, Ting
Wei, Ting
Li, Guodan
Jia, Yufang
Huang, Xiaoqin
Tu, Mingjin
Yan, Xiuwen
Zhang, Haitao
author_sort Li, Yuanqi
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: These results provide a direction for further studies on the DAPK1 gene and on the mechanism through which DAPK1 leads to hepatocellular carcinoma development.
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spelling pubmed-93547542022-08-06 Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells Li, Yuanqi Huang, Hui Yu, Huajun Mo, Ting Wei, Ting Li, Guodan Jia, Yufang Huang, Xiaoqin Tu, Mingjin Yan, Xiuwen Zhang, Haitao PeerJ Biochemistry BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: These results provide a direction for further studies on the DAPK1 gene and on the mechanism through which DAPK1 leads to hepatocellular carcinoma development. PeerJ Inc. 2022-08-02 /pmc/articles/PMC9354754/ /pubmed/35935258 http://dx.doi.org/10.7717/peerj.13711 Text en ©2022 Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biochemistry
Li, Yuanqi
Huang, Hui
Yu, Huajun
Mo, Ting
Wei, Ting
Li, Guodan
Jia, Yufang
Huang, Xiaoqin
Tu, Mingjin
Yan, Xiuwen
Zhang, Haitao
Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title_full Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title_fullStr Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title_full_unstemmed Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title_short Differential gene expression analysis after DAPK1 knockout in hepatocellular carcinoma cells
title_sort differential gene expression analysis after dapk1 knockout in hepatocellular carcinoma cells
topic Biochemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354754/
https://www.ncbi.nlm.nih.gov/pubmed/35935258
http://dx.doi.org/10.7717/peerj.13711
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