Physical Stimulation Methods Developed for In Vitro Neuronal Differentiation Studies of PC12 Cells: A Comprehensive Review.
Kanako TominamiTada-Aki KudoTakuya NoguchiYohei HayashiYou-Ran LuoTakakuni TanakaAyumu MatsushitaSatoshi IzumiHajime SatoKeiko Gengyo-AndoAtsushi MatsuzawaGuang HongJunichi NakaiPublished in: International journal of molecular sciences (2024)
PC12 cells, which are derived from rat adrenal pheochromocytoma cells, are widely used for the study of neuronal differentiation. NGF induces neuronal differentiation in PC12 cells by activating intracellular pathways via the TrkA receptor, which results in elongated neurites and neuron-like characteristics. Moreover, the differentiation requires both the ERK1/2 and p38 MAPK pathways. In addition to NGF, BMPs can also induce neuronal differentiation in PC12 cells. BMPs are part of the TGF-β cytokine superfamily and activate signaling pathways such as p38 MAPK and Smad. However, the brief lifespan of NGF and BMPs may limit their effectiveness in living organisms. Although PC12 cells are used to study the effects of various physical stimuli on neuronal differentiation, the development of new methods and an understanding of the molecular mechanisms are ongoing. In this comprehensive review, we discuss the induction of neuronal differentiation in PC12 cells without relying on NGF, which is already established for electrical, electromagnetic, and thermal stimulation but poses a challenge for mechanical, ultrasound, and light stimulation. Furthermore, the mechanisms underlying neuronal differentiation induced by physical stimuli remain largely unknown. Elucidating these mechanisms holds promise for developing new methods for neural regeneration and advancing neuroregenerative medical technologies using neural stem cells.
Keyphrases
- signaling pathway
- cerebral ischemia
- physical activity
- healthcare
- growth factor
- mental health
- stem cells
- systematic review
- induced apoptosis
- transforming growth factor
- machine learning
- epithelial mesenchymal transition
- neural stem cells
- blood brain barrier
- deep learning
- transcription factor
- brain injury
- big data
- subarachnoid hemorrhage