Identification of the TF-miRNA-mRNA co-regulatory networks involved in sepsis

Luo, Xi; Lu, Weina; Zhao, Jianfeng; Hu, Jun; Chen, Enjiang; Shi, Fang; Fu, Qinghui

doi:10.1007/s10142-022-00843-x

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Meanwhile, miRNA expression is also mediated by TF, thus forming a complex upstream and downstream regulatory network of miRNA, namely TF-miRNA-mRNA (40,41). TF-miR-NA-mRNA could help correlate the interaction of transcription factors, miRNA and target genes together, and visualize a network map, thus exploring potential key molecules more intuitively and conveniently (42,43). In this study, the TF-miRNA-mRNA network construction results identified that RB1, RBCA1 and JDP2 regulated DDIT3, besides, RELA, ABL1 and NFKB1 regulated FOXO3.…”

Section: Discussionmentioning

confidence: 99%

Identification of biomarkers associated with oxidative stress-related genes in postmenopausal osteoporosis

Dan Liu,

Zhijun Hu,

Zhanying Tang

et al. 2023

Cell Mol Biol (Noisy-le-grand)

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Section: Discussionmentioning

confidence: 99%

Identification of biomarkers associated with oxidative stress-related genes in postmenopausal osteoporosis

Dan Liu,

Zhijun Hu,

Zhanying Tang

et al. 2023

Cell Mol Biol (Noisy-le-grand)

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RETRACTED: Identify novel gene signatures in atrial fibrillation by comprehensive bioinformatics analysis

Li,

Gao,

Lin

et al. 2024

IFS

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Background: Atrial fibrillation (AF), one of the most prevalent heart rhythm disorders, may lead to thromboembolism, heart failure, and sudden death. However, the mechanism of AF has not yet been fully explained. Objective: This study aims to identify novel gene signatures and to investigate the potential therapeutic targets of AF with an integrated bioinformatic approach. Methods: The gene expression and methylation datasets of AF were obtained through the Gene Expression Omnibus (GEO) database. Subsequently, a set of differentially expressed genes and differential methylation sites were identified. Gene functional annotation analysis was conducted to explore the potential function of differentially-methylated/expressed genes. Then, we constructed a PPI network and TF–miRNA–mRNA network. Finally, weighted gene co-expression network analysis (WGCNA) was presented to study critical modules of AF. Results: Seven hypomethylated-high expression genes and nine hypermethylated-low expression genes were acquired from AF patients. Functional enrichment results indicated that the differentially-methylated/expressed genes were mainly concentrated in decidualization, maternal placenta development, regulation of nitric-oxide synthase activity, and osteoclast differentiation. Based on the results of the PPI, we defined 4 key genes namely FHL2, STC2, ALPK3, and RAP1GAP2 as the core genes, playing essential roles in the TF-miRNA-mRNA network. In the end, we constructed two co-expression modules that highly correlated with AF-related phenotype. Conclusion: In our study, we found critical genes for AF that might help understand the molecular changes in AF.

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Identification of the TF-miRNA-mRNA co-regulatory networks involved in sepsis

Abstract: Identification of the TF-miRNA-mRNA co-regulatory networks involved in sepsis

Cited by 2 publications

References 31 publications

Identification of biomarkers associated with oxidative stress-related genes in postmenopausal osteoporosis

Identification of biomarkers associated with oxidative stress-related genes in postmenopausal osteoporosis

RETRACTED: Identify novel gene signatures in atrial fibrillation by comprehensive bioinformatics analysis

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