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The expression profile analysis of NKX2-5 knock-out embryonic mice to explore the pathogenesis of congenital heart disease.
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Li Jian, Cao Yinyin, Wu Yao, Chen Weicheng, Yuan Yuan, Ma Xiaojing, Huang Guoying
Аннотация
BACKGROUND: Mutation of NKX2-5 could lead to the development of congenital heart disease (CHD) which is a common inherited disease. This study aimed to investigate the pathogenesis of CHD in NKX2-5 knock-out embryonic mice.
METHODS: The expression profile in the NKX2-5 knock-out embryonic mice (GSE528) was downloaded from Gene Expression Omnibus. The heart tissues from the null/heterozygous embryonic day 12.5 mice were compared with wild-type mice to identify differentially expressed genes (DEGs), and then DEGs corresponding to the transcriptional factors were filtered out based on the information in the TRANSFAC database. In addition, a transcriptional regulatory network was constructed according to transcription factor binding site information from the University of California Santa Cruz database. A pathway interaction network was constructed by latent pathways identification analysis.
RESULTS: The 42 DEGs corresponding to transcriptional factors from the null and heterozygous embryos were identified. The transcriptional regulatory networks included five down-regulated DEGs (SP1, SRY, JUND, STAT6, and GATA6), and six up-regulated DEGs [POU2F1, NFY (NFYA/NFYB/NFYC), USF2 and MAX]. Latent pathways analysis demonstrated that ribosome, glycolysis/gluconeogenesis, and dilated cardiomyopathy pathways significantly interacted.
CONCLUSION: The identified DEGs and latent pathways could provide new comprehensive view for understanding the pathogenesis of CHD.
METHODS: The expression profile in the NKX2-5 knock-out embryonic mice (GSE528) was downloaded from Gene Expression Omnibus. The heart tissues from the null/heterozygous embryonic day 12.5 mice were compared with wild-type mice to identify differentially expressed genes (DEGs), and then DEGs corresponding to the transcriptional factors were filtered out based on the information in the TRANSFAC database. In addition, a transcriptional regulatory network was constructed according to transcription factor binding site information from the University of California Santa Cruz database. A pathway interaction network was constructed by latent pathways identification analysis.
RESULTS: The 42 DEGs corresponding to transcriptional factors from the null and heterozygous embryos were identified. The transcriptional regulatory networks included five down-regulated DEGs (SP1, SRY, JUND, STAT6, and GATA6), and six up-regulated DEGs [POU2F1, NFY (NFYA/NFYB/NFYC), USF2 and MAX]. Latent pathways analysis demonstrated that ribosome, glycolysis/gluconeogenesis, and dilated cardiomyopathy pathways significantly interacted.
CONCLUSION: The identified DEGs and latent pathways could provide new comprehensive view for understanding the pathogenesis of CHD.