RESUMO
Mining data in depth of genome-wide sequencing data generated from pathological target tissues under disease conditions is necessary for seeking novel functional genes, and developing more biological study directions for the field. Based on our previous published RNA-seq data generated from acute myocardial ischemia and ischemia-reperfusion in rat heart, we re-analysed these two data sets using bioinformatics tools. All these raw fastq files were extracted from Illumina BCL using the Illumina CASAVA program. Four groups were obtained: UD (genes up-regulated in MI but down-regulated in I/R injury), DU (genes down-regulated in MI but up-regulated in I/R injury), UU (genes both up-regulated in MI and I/R injury), and DD (genes both down-regulated in MI and I/R injury) groups. The results showed that 304 common genes in the UD group, 236 common genes in the DU group, 318 common genes in the UU group, and 159 common genes in the DD group detected by comparing data sets of the MI and the I/R injury. We then listed the top 30 DEGs for each group, and carried out GO and KEGG analyses for enrichment and pathway studies for those top expressed genes. Further analysis of INTERPRO Protein Domains and Features enriched by DEGs showed that 20% of the Domains enriched were related to c-type lectin, and 17% of these domains are related to neurotransmitter-gated ion-channel. 15% of PFAM Protein Domains were about Neurotransmitter-gated ion-channel. There were only 8 SMART Protein Domains DEGs enriched and 37.5% of which were concerned about leucine-rich. Collagen involvement in Reactome Pathways accounted for 22.7%. We found that only a few DEGs in these two disease conditions have been reported in the literatures, suggesting that there are many new genes would be considered in the future studies. These analyses would provide some information for seeking more novel targets of these two clinic diseases, acute myocardial ischemia and myocardial ischemia/reperfusion.
