Deciphering the Molecular Mechanisms of Autonomic Nervous System Neuron Induction through Integrative Bioinformatics Analysis

• Published in: International journal of molecular sciences Vol. 24; no. 10; p. 9053
• Main Authors: Takayama, Yuzo, Akagi, Yuka, Kida, Yasuyuki S
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.05.2023; MDPI
• Subjects: Alzheimer's disease; Autonomic Nervous System; Bioinformatics; Calcium imaging; Cell cycle; Computational biology; Diabetic neuropathy; Gene clusters; Gene expression; Gene Regulatory Networks; Genes; Genetic transcription; Homeostasis; human induced pluripotent stem cells; Humans; Impact analysis; MicroRNAs; Molecular modelling; Nervous system; Neurogenesis; Neurons; Neurons - metabolism; Proteins; RNA; RNA sequencing; Scientific equipment and supplies industry; United States; Japan; human induced pluripotent stem cells; autonomic nervous system; bioinformatics
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24109053

In vitro derivation of human neurons in the autonomic nervous system (ANS) is an important technology, given its regulatory roles in maintaining homeostasis in the human body. Although several induction protocols for autonomic lineages have been reported, the regulatory machinery remains largely undefined, primarily due to the absence of a comprehensive understanding of the molecular mechanism regulating human autonomic induction in vitro. In this study, our objective was to pinpoint key regulatory components using integrated bioinformatics analysis. A protein-protein interaction network construction for the proteins encoded by the differentially expressed genes from our RNA sequencing data, and conducting subsequent module analysis, we identified distinct gene clusters and hub genes involved in the induction of autonomic lineages. Moreover, we analyzed the impact of transcription factor (TF) activity on target gene expression, revealing enhanced autonomic TF activity that could lead to the induction of autonomic lineages. The accuracy of this bioinformatics analysis was corroborated by employing calcium imaging to observe specific responses to certain ANS agonists. This investigation offers novel insights into the regulatory machinery in the generation of neurons in the ANS, which would be valuable for further understanding and precise regulation of autonomic induction and differentiation.