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pmid:28529692
Abnormal expression of ATP1A1 and ATP1A2 in breast cancer
Alexey Bogdanov · Fedor Moiseenko · Michael Dubina
F1000Research · 2017 doi:10.12688/f1000research.10481.1
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Experiment
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Complete file
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In the present study, we analyzed microarray data of breast cancer expression profiling (NCBI GEO database, accession GSE65194), focusing on Na +/K +-ATPase coding genes. We found overexpression of the ATP1A1 and down-regulation of the ATP1A2. We expect that our research could help to improve the understanding of predictive and prognostic features of breast cancer.\nKeywords: breast cancer, Na+/K+-ATPase, gene expression, abnormality, ATP1A1, ATP1A2", "claims": [{"id": "claim-method", "statement": "We utilized Transcriptome Analysis Console 3.0 software (Affymetrix, Inc. USA) to analyze the obtained CHP files and to detect differentially expressed genes using one-way between subjects ANOVA.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28529692", "locator": "sections[2] \"Methods\" paragraph 2", "quote": "We utilized Transcriptome Analysis Console 3.0 software (Affymetrix, Inc. 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For this purpose, we used Expression Console 1.4 software (Affymetrix, Inc. USA)."}}, {"id": "method-2", "family": "group_comparison", "specific": "one-way between subjects ANOVA", "label": "One-way analysis of variance", "dsl_operations": ["group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {"alpha": 0.05, "design": "one-way between subjects", "software": "Transcriptome Analysis Console 3.0"}, "data_shapes": ["grouped numeric gene-expression measurements"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We utilized Transcriptome Analysis Console 3.0 software (Affymetrix, Inc. 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