Document Type : Review article
Author
Department of Biochemistry, Shahid Chamran University of Ahvaz
Abstract
Introduction: Autism is a set of environmental and genetic disorders in the nervous system that result in defects in social behaviors, social communication, stereotyped behaviors and difficulty in motor skills and inability to plan motor. These factors are the severity of the disease and how affect its response to treatment.
Materials and Methods: In this study, we sought to identify a common list of different genes expressed (DEG) using a meta-analysis method by bioinformatics tools. Three microwave studies were identified, including 109 samples, of which 90 were sick and 19 were healthy. These studies were analyzed by software and meta-analysis was performed on them.
Results: After isolation of genes with different expression with the help of statistical analysis by R software, genes (EIF1AY, EIF2S3, IL32, ARPC4-TTLL3, LILRA5, EIF5A, XIST, RARA, TXLNG,) were obtained and then by examining their gene ontology from the final results were obtained through the enrichr database and the association of their interaction pathways with pathways and interaction networks with other genes involved in autism.
Conclusion: By identifying genes with different expression in different studies that had a significant decrease or increase in expression and examining them in biological, molecular and cellular pathways in general, it was found that this set of genes can be used in autism and some pathways in the functional process. This disease has a role, so it is possible to provide desirable treatment strategies to control them by examining the targets of their effects and products.
Keywords
Main Subjects
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