RRC ID 76690
Author Hanafusa Y, Shiraishi A, Hattori F.
Title Machine learning discriminates P2X7-mediated intracellular calcium sparks in human-induced pluripotent stem cell-derived neural stem cells.
Journal Sci Rep
Abstract Adenosine triphosphate (ATP) is an extracellular signaling molecule that mainly affects the pathophysiological situation in the body and can be sensed by purinergic receptors, including ionotropic P2X7. Neuronal stem cells (NSCs) remain in adult neuronal tissues and can contribute to physiological processes via activation by evoked pathophysiological situations. In this study, we revealed that human-induced pluripotent stem cell-derived NSCs (iNSCs) have ATP-sensing ability primarily via the purinergic and ionotropic receptor P2X7. Next, to develop a machine learning (ML)-based screening system for food-derived neuronal effective substances and their effective doses, we collected ATP-triggered calcium responses of iNSCs pretreated with several substances and doses. Finally, we discovered that ML was performed using composite images, each containing nine waveform images, to achieve a better ML model (MLM) with higher precision. Our MLM can correctly sort subtle unidentified changes in waveforms produced by pretreated iNSCs with each substance and/or dose into the positive group, with common mRNA expression changes belonging to the gene ontology signatures.
Volume 13(1)
Pages 12673
Published 2023-8-4
DOI 10.1038/s41598-023-39846-4
PII 10.1038/s41598-023-39846-4
PMID 37542080
PMC PMC10403609
MeSH Adenosine Triphosphate / metabolism Adult Calcium / metabolism Calcium Signaling Humans Induced Pluripotent Stem Cells* / metabolism Neural Stem Cells* / metabolism Receptors, Purinergic P2X7 / genetics Receptors, Purinergic P2X7 / metabolism
IF 3.998
Resource
Human and Animal Cells 253G1(HPS0002)