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Updated: Sep 13, 2025

Differentiation of the SH-SY5Y Human Neuroblastoma Cell Line
Published on: February 17, 2016
Establishing a 3D Spheroid Model of Cholinergic Neurons from SH-SY5Y Cells for Neurotoxicity Assessment
Felipe Franco-Campos1,2, Mónica Fernández-Franzón1,2, Yelko Rodríguez-Carrasco1,2
1Research Group in Alternative Methods for Determining Toxics Effects and Risk Assessment of Contaminants and Mixtures (RiskTox), Universitat de València, Av. Vicent Andrés Estellés s/n, 46100 Burjassot, Spain.
None:
The nervous system maintains homeostasis and coordinated behavior through complex neuronal and glial cells. Traditional models, such as primary rodent neurons and human-induced pluripotent stem cell (hIPSC)-derived neurons, have advanced our understanding of neuronal function and neurotoxic damage; however, they are costly and labor-intensive. SH-SY5Y cells, an immortalized human neuroblastoma cell line, provide a more accessible alternative for studying neuronal processes and neurotoxicity. However, their limited capacity to differentiate into specific neuronal phenotypes remains a challenge. To address this limitation, differentiation protocols using neuronal factors and vitamins have been developed, primarily in two-dimensional (2D) cultures, which reduces physiological relevance. Here, we present a novel three-dimensional (3D) SH-SY5Y model incorporating 2D differentiation protocols to generate cholinergic neurons (ChAT+). This model enhances neurotoxicity studies related to pesticides and mycotoxins. Our protocol produces homogeneous spheroids differentiated into cholinergic neurons using serum restriction and specific factors, maintaining viability and circularity for up to 22 days. Differentiation was validated by immunofluorescence and Western blot by Choline acetyltransferase (ChAT) expression. This scalable and reproducible 3D model provides a valuable in vitro tool for neurotoxicological research, improving physiological relevance and enabling the study of cholinergic neuron differentiation and function.

