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pmid:33235499
Bioinformatics Analysis Identifies a Novel Role of GINS1 Gene in Colorectal Cancer.
Fanqin Bu · Xiaojian Zhu · Jinfeng Zhu · Zitao Liu · Ting Wu · Chen Luo · Kang Lin · Jun Huang
Cancer management and research · 2020 doi:10.2147/CMAR.S279165
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Experiment
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Analysis
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Execution
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Complete file
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Herein, we aimed to identify effective biomarkers for early diagnosis and treatment of colorectal cancer via bioinformatic tools.\nMETHODS: To identify differentially expressed genes (DEGs) in CRC, we downloaded CRC gene expression data from GSE24514 and GSE110223 datasets in Gene Expression Omnibus (GEO) and employed R to analyze the data. We further performed functional enrichment analysis of the DEGs on the DAVID gene ontology analysis tool. STRING database and Cytoscape visualization tool were employed to construct a PPI (protein-protein interaction) network and establish intensive intervals in the network. Immunohistochemistry, qRT-PCR and Western blotting were performed to identify the expression level of GINS1 in CRC. In vitro and in vivo experiments were performed to assess the impact of GINS1 in the pathogenesis of CRC in terms of proliferation, migration and metastasis.\nRESULTS: Among the two datasets, 389 DEGs were identified and used to construct a PPI network. These genes were mainly involved in cell proliferation and cell cycle. Among them, 15 genes including GINS1 were found to be strongly associated with the PPI network. We further performed immunohistochemistry, qRT-PCR and Western blotting to identify that GINS1 expression was higher in CRC than in paired normal tissues. Moreover, in vitro and in vivo experiments demonstrated GINS1 could promote the proliferation, invasion and migration of colorectal cancer cells.\nCONCLUSIONS: GINS1 could be considered as a potential biomarker for CRC patients.", "claims": [{"id": "claim-method", "statement": "The R (limma package) was employed to determine DEGs in non-cancerous and CRC samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33235499", "locator": "sections[5] \"Differentially Expressed Genes (DEGs) Identification\" paragraph 2", "quote": "The R (limma package) was employed to determine DEGs in non-cancerous and CRC samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data downloaded from the GEO database are available in this study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33235499", "locator": "sections[30] \"Data Sharing Statement\" paragraph 2", "quote": "The data downloaded from the GEO database are available in this study."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33235499"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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