ArticleGalen medical journal2019
Identification of the Key Genes of Autism Spectrum Disorder Through Protein-Protein Interaction Network.
Article in Galen medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Article
- Tea polyphenols protect bovine intestinal epithelial cells from the adverse effects of heat-stressAnimal biotechnology · 2023Article
- Prediction Model for Sensory Perception Abnormality in Autism Spectrum Disorder.International journal of molecular sciences · 2023Article
- Zika virus-induced TNF-α signaling dysregulates expression of neurologic genes associated with psychiatric disorders.Journal of neuroinflammation · 2022Article
- Light at Night Exposure Effects on Differentiation and Cell Cycle in the Rat Liver With Autonomic Nervous System Denervation.Journal of lasers in medical sciences · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, the prevalence of autism spectrum disorder (ASD) is increasing, which widely spurs the interest in the molecular investigation. Thereby, a better understanding of the given disorder mechanisms is likely to be achieved. Bioinformatics suiting protein-protein interactions analysis via the application of high-throughput studies, such as protein array, is one of these achievements. MATERIALS AND
methodsThe gene expression data from Gene Expression Omnibus (GEO) database were downloaded, and the expression profile of patients with developmental delay and autistic features were analyzed via Cytoscape and its relevant plug-ins.
resultsOur findings indicated that EGFR, ACTB, RHOA, CALM1, MAPK1, and JUN genes as the hub-bottlenecks and their related terms could be important in ASD risk. In other words, any expression modification in these genes could trigger dysfunctions in the corresponding biological processes.
conclusionWe suggest that differentially expressed genes could be used as suitable targets for ASD after being validated.
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Registered trials
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