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pmid:36230465
An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish.
Amin Mortazavi · Mostafa Ghaderi-Zefrehei · Mustafa Muhaghegh Dolatabady · Mahdi Golshan · Sajad Nazari · Ayeh Sadat Sadr · Saeid Kadkhodaei · Ikhide G Imumorin · Sunday O Peters · Jacqueline Smith
Animals : an open access journal from MDPI · 2022 doi:10.3390/ani12192724
Paper
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Experiment
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Data
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Analysis
complete
Execution
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Complete file
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To this end, the GSE11107 and GSE112272 datasets from the GEO databases were downloaded and meta-analyzed using the MetaDE package, an add-on R package. Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4). Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool. ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish. 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