An Integrated Bioinformatics Approach to Identify Network Derived Hub Genes in Starving Zebrafish

Amin Mortavazi, Mostafa Ghaderi-Zefrehei, Mustafa Muhaghegh Dolatabady, Mahdi Golshan, Sajad Nazari, Ayeh Sadat Sadr, Saeid Kadkhodaei, Ikhide G Imumorin, Sunday O. Peters, Jacqueline Smith

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The present study was aimed at identifying causative hub genes within modules formed by co-expression and protein-protein interaction (PPI) networks, followed by Bayesian network (BN) construction in the liver transcriptome of starved zebrafish. 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, σ 2 = 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. Future work will shed light on using integrative analyses of miRNA and DNA microarrays simultaneously, and performing in silico and experimental validation of these hub-causative (CST) genes affecting starvation in zebrafish.

Original languageEnglish
Article number2724
JournalAnimals
Volume12
Issue number19
Early online date10 Oct 2022
DOIs
Publication statusPublished - 10 Oct 2022

Keywords / Materials (for Non-textual outputs)

  • Zebrafish
  • Starvation
  • Bayesian network
  • Co-expression
  • hub genes
  • bioinformatic analysis

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