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. 2022 Oct 11:9:1022972.
doi: 10.3389/fvets.2022.1022972. eCollection 2022.

Integrative analysis identifies potential ferroptosis-related genes of hypoxia adaptation in yak

Jian Zhang  1   2 , Yan Cui  1   2
Affiliations

Integrative analysis identifies potential ferroptosis-related genes of hypoxia adaptation in yak

Jian Zhang et al. Front Vet Sci. .

Abstract

There are studies on the hypoxia adaptation in yak, but there are few studies on the regulation of ferroptosis by hypoxia. This study was the first time to explore ferroptosis-related genes about hypoxia in yak. In this study, the oviduct epithelial cells between yak and bovine are performed by integrative analysis for functions, regulating network and hub genes. The results showed 29 up-regulated ferroptosis genes and 67 down-regulated ferroptosis genes, and GO-KEGG analysis showed that up-regulated differentially expressed genes (DEGs) were significantly enriched in ribosome pathway and oxidative phosphorylation pathway. Down-regulated DEGs were significantly enriched in longevity regulating pathway-mammal pathway. Mitophagy-Animal Pathway was a significant enrichment pathway for the up-regulated differentially expressed ferroptosis genes (DE-FRGs). HIF-1 signaling pathway is a significant pathway for the down-regulated DE-FRGs. By constructing DE-FRGs protein-protein interaction (PPI) network, 10 hub DE-FRGs (Jun, STAT3, SP1, HIF1A, Mapk1, Mapk3, Rela, Ulk1, CDKN1A, EPAS1) were obtained. The bta-mir-21-5p, bta-mir-10a and bta-mir-17-5p related to STAT3 were predicted. The results of this study indicated the important genes and pathways of the hypoxia in yak, and it was the first time to study ferroptosis genes and pathways related to the hypoxia adaptation by bulk-seq in yak. This study provided sufficient transcriptome datas for hypoxia adaptation.

Keywords: bulk transcriptomics; ferroptosis; hypoxia adaptation; oviduct; yak.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of this study.
Figure 2
Figure 2
Comparison of yak and bovine oviduct epithelial cells. (A) The volcano plot of DEGs. (B) The heatmap of DEGs. (C) The number of up-regulated DEGs and down-regulated DEGs.
Figure 3
Figure 3
Venn diagram displaying the DE-FRGs. (A) The venn of up-regulated DE-FRGs. (B) The venn of down-regulated DE-FRGs.
Figure 4
Figure 4
Enrichment analysis of DEGs. (A) GO enrichment analysis of up-regulated DEGs. (B) KEGG analysis of up-regulated DEGs. (C) GO enrichment analysis of down-regulated DEGs. (D) KEGG analysis of down-regulated DEGs.
Figure 5
Figure 5
Enrichment analysis of DE-FRGs. (A) GO enrichment analysis of up-regulated DE-FRGs. (B) KEGG analysis of up-regulated DE-FRGs. (C) GO analysis of down-regulated DE-FRGs. (D) KEGG enrichment analysis of down-regulated DE-FRGs.
Figure 6
Figure 6
PPI network of DE-FRGs.
Figure 7
Figure 7
Hub DE-FRGs and miRNA. (A) Network of the top 10 hub DE-FRGs. (B) The rank of the hub DE-FRGs. (C) Prediction of the miRNA.
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