Elucidation of the Gene Regulatory Network Related to Spinal Muscular Atrophy

[embed]Elucidation of the Gene Regulatory Network Related to Spinal Muscular Atrophy - Cytology and… Abstract Spinal muscular atrophy (SMA) is an autosomal recessive heritable disorder leading to abnormalities and…link.springer.com

Abstract Spinal muscular atrophy (SMA) is an autosomal recessive heritable disorder leading to abnormalities and dysfunction of alpha motor neurons, paralysis, and eventual death due to respiratory failure. However, the gene regulatory mechanism related to SMA is still not completely clear. Here, we constructed the gene regulatory network of SMA, in which several SMA-related genes and transcription factors played important roles. In the process, 6544 differentially expressed genes (DEGs) associated with SMA were used and the enrichment analysis and gene regulatory network construction using machine learning was performed. The result showed that, firstly, p53 signaling and DNA replication are closely related to SMA. Then, there is a huge and complicated regulatory network guided by SMA, in which transcription factor SNAPC2, MZF1, and ZNF711 interacted closely with SMA-related genes (SMN1, SMN2) and played key roles in regulating genes of p53 signaling, DNA replication and other SMA-related GO (gene ontology) terms. The transcriptome data was well verified through real-time fluorescence quantitative PCR (RT-qPCR) using the peripheral blood of spinal muscular atrophy patients. Our study revealed the complicated gene regulation network of SMA, and uncover several important SMA-related genes, which it deepens our understanding of SMA-related regulatory mechanisms.

Keywords: spinal muscular atrophy transcription factors machine learning p53 signaling transcription