2022
DOI: 10.3389/fgene.2021.788417
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Bioinformatics Analysis Identifies Potential Ferroptosis Key Genes in the Pathogenesis of Pulmonary Fibrosis

Abstract: Objective: Ferroptosis has an important role in developing pulmonary fibrosis. The present project aimed to identify and validate the potential ferroptosis-related genes in pulmonary fibrosis by bioinformatics analyses and experiments.Methods: First, the pulmonary fibrosis tissue sequencing data were obtained from Gene Expression Omnibus (GEO) and FerrDb databases. Bioinformatics methods were used to analyze the differentially expressed genes (DEGs) between the normal control group and the pulmonary fibrosis g… Show more

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Cited by 29 publications
(21 citation statements)
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“…Expression of the 10 candidate FRHGs was analyzed using LASSO regression with a binomial model and lambda value equal to the minimum mean cross-validated error to screen most likely FRHGs. Random forest, another machine learning algorithm for training and predicting samples with high accuracy based on constructing a multitude of decision trees, is widely utilized to identify and verify potential predictors ( 22 ). Thus, the random forest algorithm was utilized to verify the reliability of the LASSO regression analysis using the randomForest package ( 23 ).…”
Section: Methodsmentioning
confidence: 99%
“…Expression of the 10 candidate FRHGs was analyzed using LASSO regression with a binomial model and lambda value equal to the minimum mean cross-validated error to screen most likely FRHGs. Random forest, another machine learning algorithm for training and predicting samples with high accuracy based on constructing a multitude of decision trees, is widely utilized to identify and verify potential predictors ( 22 ). Thus, the random forest algorithm was utilized to verify the reliability of the LASSO regression analysis using the randomForest package ( 23 ).…”
Section: Methodsmentioning
confidence: 99%
“…Mitophagy-biological pathway is the enrichment pathway of DE-FRGs. In previous studies, hypoxia can activate the PINK1/Parkin-mediated mitophagy pathway ( 19 ), selective activation of mitophagy might promote cell survival under hypoxic conditions ( 20 ), breast cancer ( 21 ), and pulmonary fibrosis ( 22 ). Tumor cells were exposed to hypoxia, the yak was in the hypoxic environment, the down-regulated DE-FRGs in the oviduct is also enriched in HIF-1 signaling pathway, HIF-1 is a central regulator of cellular adaptation to hypoxia ( 23 ), positively selected hypoxia-related genes in the buff-throated partridge were distributed in the HIF-1 signaling pathway ( 24 ), Hypoxia Enhances HIF-1α Transcription Activity by Upregulating KDM4A and Mediating H3K9me3 ( 25 ), suppression of the HIF-1 signaling pathway by microRNA regulation may play a key role in the pathogenesis of un-acclimatization with high altitude hypoxia ( 26 ), HIF-1 signaling pathway is an important topic in high-altitude medicine ( 27 ), the previous hypoxia research were consistent with this study.…”
Section: Discussionmentioning
confidence: 99%
“…By constructing a penalty function for all variables, Lasso can compress unimportant variable coefficients to 0, thus excluding those variables, and then the independent variables that have a greater impact on the outcome are selected in the final analysis. The 103 immune-related genes were entered into the Lasso regression analysis to screen key genes by the glmnet package in R. We also constructed a random forest model (RF) to screen key genes by the randomForest package in R 19 , 20 . RF is an algorithm that performs classification or regression by combining the voting results of multiple decision trees.…”
Section: Methodsmentioning
confidence: 99%