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Bioinformatics Analysis Identified the Key Genes of Aspirin and Redox Damaged Yeast Cells

Bioinformatics Analysis Identified the Key Genes of Aspirin and Redox Damaged Yeast Cells

Hui-Ying Chen1,2*, Ping-Chuan Yin1,2, Ya-Nan Lu1,2, Hai-Yun Li1,2*and Yang Shan3

1College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541006, People’s Republic of China
2Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541006, China
3Hunan Agricultural Product Processing Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China

*      Corresponding author: hychen@glut.edu.cn, xglihaiyun@126.com

Fig. 1.

Venn diagram of 248 DEGs from treated and normal.

Fig. 2.

Heat map of the top 100 differentially expressed genes of GSE115660.

Fig. 3.

Protein-protein interaction network diagram. Red indicates the up-regulated gene and green indicates the down-regulated gene.

Fig. 4.

The most significant modules obtained from the PPI network. Module 1 and module 2 are the most important modules in the PPI network identified by the MCODE score > 10.

Fig. 5.

Functional roles of 10 hub genes with MCC ≥10. The darker the color, the higher the score.

Fig. 2.

Heat map of the top 100 differentially expressed genes of GSE115660.

Pakistan Journal of Zoology

August

Vol. 52, Iss. 4, Pages 1225-1630

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