References

• Karamanos NK, Theocharis AD, Piperigkou Z, et al. A guide to the composition and functions of the extracellular matrix. FEBS J. 2021;288(24):6850-6912. doi:10.1111/febs.15776 google scholar
• Kim BS, Das S, Jang J, Cho D-W. Decellularized Extracellular Matrix-based bioinks for engineering tissue- and organ-specific microenvironments. Chem Rev. 2020;120(19):10608-10661. google scholar
• Badylak SF, Freytes DO, Gilbert TW. Extracellular matrix as abi-ological scaffold material: Structure and function. Acta Biomater. 2009;5(1):1-13. google scholar
• Freytes DO, Martin J, Velankar SS, Lee AS, Badylak SF. Prepara-tion and rheological characterization of a gel form of the porcine urinary bladder matrix. Biomaterials. 2008;29(11):1630-1637. google scholar
• DeQuach JA, Yuan SH, Goldstein LS, Christman KL. Decellular-ized porcine brain matrix for cell culture and tissue engineering scaffolds. Tissue Eng Part A. 2011;17(21-22):2583-2592. google scholar
• Jin Y, Lee JS, Kim J, et al. Three-dimensional brain-like microen-vironments facilitate the direct reprogramming of fibroblasts into therapeutic neurons. Nat Biomed Eng. 2018;2(7):522-539. google scholar
• Cembran A, Bruggeman KF, Williams RJ, Parish CL, Nisbet DR. Biomimetic materials and their utility in modeling the 3-dimensional neural environment. iScience. 2020;23(1):100788. doi:10.1016/j.isci.2019.100788 google scholar
• Sood D, Cairns DM, Dabbi JM, et al. Functional maturation of human neural stem cells in a 3D bioengineered brain model en-riched with fetal brain-derived matrix. Sci Rep. 2019;9(1):17874. doi:10.1038/s41598-019-54248-1 google scholar
• Hebisch M, Klostermeier S, Wolf K, et al. The impact of the cellular environment and aging on modeling Alzheimer’s dis-ease in 3D cell culture models. Adv Sci. 2023;10(8):2205037. doi:10.1002/advs.202205037 google scholar
• Jain D, Mattiassi S, Goh EL, Yim EKF. Extracellular matrix and biomimetic engineering microenvironment for neuronal differen-tiation. Neural Regen Res. 2020;15(4):573-585. google scholar
• Nicolas J, Magli S, Rabbachin L, Sampaolesi S, Nicotra F, Russo L. 3D Extracellular matrix mimics: Fundamental concepts and role of materials chemistry to influence stem cell fate. Biomacro-molecules. 2020;21(6):1968-1994. google scholar
• Biedler JL, Roffler-Tarlov S, Schachner M, Freedman LS. Multiple neurotransmitter synthesis by human neuroblastoma cell lines and clones. Cancer Res. 1978;38(11Part1):3751-3757. google scholar
• Kovalevich J, Langford D. Considerations for the use of SH-SY5Y neuroblastoma cells in neurobiology. Methods Mol Biol. 2013;1078:9-21. google scholar
• Barth M, Toto Nienguesso A, Navarrete Santos A, Schmidt C. Quantitative proteomics and in-cell cross-linking reveal cellu-lar reorganisation during early neuronal differentiation of SH-SY5Y cells. Commun Biol. 2022;5(1):551. doi:10.1038/s42003-022-03478-7 google scholar
• de Medeiros LM, De Bastiani MA, Rico EP, et al. Cholinergic differentiation of human neuroblastoma SH-SY5Y cell line and its potential use as an in vitro model for Alzheimer’s disease studies. Mol Neurobiol. 2019;56(11):7355-7367. google scholar
• Shipley MM, Mangold CA, Szpara ML. Differentiation of the SH-SY5Y human neuroblastoma cell line. J Vis Exp. 2016;(108):e53193. doi:10.3791/53193 google scholar
• Qiao J, Paul P, Lee S, et al. PI3K/AKT and ERK regulate retinoic acid-induced neuroblastoma cellular differentiation. Biochem Biophy Res Commun. 2012;424(3):421-426. google scholar
• Bottenstein JE, Sato GH. Growth of a rat neuroblastoma cell line in serum-free supplemented medium. Proc Natl Acad Sci USA. 1979;76(1):514-517. google scholar
• Sünwoldt J, Bosche B, Meisel A, Mergenthaler P. Neu-ronal culture microenvironments determine preferences in bioenergetic pathway use. Front Mol Neurosci. 2017;10:305. doi:10.3389/fnmol.2017.00305 google scholar
• Xie H-r, Hu L-s, Li G-y. SH-SY5Y human neuroblastoma cell line: In vitro cell model of dopaminergic neurons in Parkinson’s disease. Chin Med J. 2010;123(08):1086-1092. google scholar
• Dehmelt L, Halpain S. The MAP2/Tau family of microtubule-associated proteins. Genome Biol. 2004;6(1):204. doi:10.1186/gb-2004-6-1-204 google scholar
• Kaech S, Ludin B, Matus A. Cytoskeletal plasticity in cells expressing neuronal microtubule-associated proteins. Neuron. 1996;17(6):1189-1199. google scholar
• Katsetos CD, Herman MM, Mörk SJ. Class III^-tubulin in human development and cancer. Cell motil Cytoskelet. 2003;55(2):77-96. google scholar
• Gusel’nikova VV, Korzhevskiy DE. NeuN As a neuronal nu-clear antigen and neuron differentiation marker. Acta Nat. 2015;7(2):42-47. google scholar
• Cassiman D, van Pelt J, De Vos R, et al. Synaptophysin: A novel marker for human and rat hepatic stellate cells. Am J Pathol. 1999;155(6):1831-1839. google scholar
• White DN, Stowell MHB. Room for two: The synap-tophysin/synaptobrevin complex. Front Synaptic Neurosci. 2021;13:740318. doi:10.3389/fnsyn.2021.740318. google scholar
• Graham V, Khudyakov J, Ellis P, Pevny L. SOX2 functions to maintain neural progenitor identity. Neuron. 2003;39(5):749-765. google scholar
• Bunone G, Borrello MG, Picetti R, et al. Induction of RET proto-oncogene expression in neuroblastoma cells precedes neuronal differentiation and is not mediated by protein synthesis. Exp Cell Res. 1995;217(1):92-99. google scholar
• Tahira T, Ishizaka Y, Itoh F, Nakayasu M, Sugimura T, Nagao M. Expression of the ret proto-oncogene in human neuroblastoma cell lines and its increase during neuronal differentiation induced by retinoic acid. Oncogene. 1991;6(12):2333-2338. google scholar
• Oda Y. Choline acetyltransferase: The structure, distribution and pathologic changes in the central nervous system. Pathol Int. 1999;49(11):921-937. google scholar
• Yang Z, Wang KK. Glial fibrillary acidic protein: From inter-mediate filament assembly and gliosis to neurobiomarker. Trends Neurosci. 2015;38(6):364-374. google scholar
• Müller UC, Deller T, Korte M. Not just amyloid: Physiologi-cal functions of the amyloid precursor protein family. Nat Rev Neurosci. 2017;18(5):281-298. doi:10.1038/nrn.2017.29 google scholar
• Bagaria J, Bagyinszky E, An SSA. Genetics, functions, and clinical impact of presenilin-1 (psen1) gene. Int J Mol Sci. 2022;23(18):10970. doi:10.3390/ijms231810970 google scholar
• Bayeva N, Coll E, Piskareva O. Differentiating neuroblas-toma: A systematic review of the retinoic acid, its deriva-tives, and synergistic interactions. J Pers Med. 2021;11(3): 211. doi:10.3390/jpm11030211 google scholar
• Centeno EGZ, Cimarosti H, Bithell A. 2D versus 3D human induced pluripotent stem cell-derived cultures for neurodegen-erative disease modelling. Mol Neurodegener. 2018;13(1):27. doi:10.1186/s13024-018-0258-4 google scholar
• Lovett ML, Nieland TJ, Dingle YTL, Kaplan DL. In-novations in 3D tissue models of human brain physiol-ogy and diseases. Adv Funct Mater. 2020;30(44):1909146. doi:10.1002/adfm.201909146 google scholar
• Roth JG, Huang MS, Li TL, et al. Advancing models of neural de-velopment with biomaterials. Nat Rev Neurosci. 2021;22(10):593-615. doi:10.1038/s41583-021-00496-y google scholar
• Cai A, Lin Z, Liu N, et al. Neuroblastoma SH-SY5Y cell differ-entiation to mature neuron by AM580 treatment. Neurochem Res. 2022;47(12):3723-3732. google scholar
• Bell N, Hann V, Redfern CPF, Cheek TR. Store-operated Ca2+ entry in proliferating and retinoic acid-differentiated N- and S-type neuroblastoma cells. Biochim Biophys Acta Mol Cell Res. 2013;1833(3):643-651. google scholar
• Dhara SK, Stice SL. Neural differentiation of human embryonic stem cells. J Cell Biochem. 2008;105(3):633-640. google scholar
• Lasher RS, Zagon IS. The effect of potassium on neuronal differ-entiation in cultures of dissociated newborn rat cerebellum. Brain Research. 1972;41(2):482-488. google scholar
• Yang T, Uhler M. KCl-induced depolarization facilitates neuronal differentiation of P19 embryonic carcinoma cells. UMURF. 2013; (6): 52-58. google scholar
• Przyborski SA, Cambray-Deakin MA. Developmental regulation of MAP2 variants during neuronal differentiation in vitro. Brain Res Dev Brain Res. 1995;89(2):187-201. google scholar
• Forster JI, Köglsberger S, Trefois C, et al. Characterization of differentiated SH-SY5Y as neuronal screening model reveals in-creased oxidative vulnerability. SLAS Discovery. 2016;21(5):496-509. google scholar
• Craig BT, Rellinger EJ, Alvarez AL, Dusek HL, Qiao J, Chung DH. Induced differentiation inhibits sphere formation in neurob-lastoma. Biochem Biophys Res Commun. 2016;477(2):255-259. google scholar
• Long KR, Huttner WB. How the extracellular matrix shapes neu-ral development. Royal Society Open Biol. 2019;9(1):180216. doi:10.1098/rsob.180216 google scholar
• Ransanz LC, Van Altena PF, Heine VM, Accardo A. Engineered cell culture microenvironments for mechanobiology studies of brain neural cells. Front Bioeng Biotechnol. 2022;10:1096054. doi:10.3389/fbioe.2022.1096054 google scholar
• Hu Y, Huang G, Tian J, et al. Matrix stiffness changes affect astrocyte phenotype in an in vitro injury model. NPG Asia Mater. 2021;13(1):35. doi:10.1038/s41427-021-00304-0 google scholar
• Saraswathibhatla A, Indana D, Chaudhuri O. Cell-extracellular matrix mechanotransduction in 3D. Nat Rev Mol Cell Biol. 2023;24(7):495-516. google scholar
• Kim HN, Choi N. Consideration of the mechanical properties of hydrogels for brain tissue engineering and brain-on-a-chip. BioChip J. 2019;13(1):8-19. google scholar
• Madl CM, LeSavage BL, Dewi RE, et al. Maintenance of neural progenitor cell stemness in 3D hydrogels requires matrix remod-elling. Nature Materials. 2017;16(12):1233-1242. google scholar
• Chaudhuri O, Gu L, Klumpers D, et al. Hydrogels with tunable stress relaxation regulate stem cell fate and activity. Nat Mater. 2016;15(3):326-334. google scholar
• Khetan S, Guvendiren M, Legant WR, Cohen DM, Chen CS, Burdick JA. Degradation-mediated cellular traction directs stem cell fate in covalently crosslinked three-dimensional hydrogels. Nature Mater. 2013;12(5):458-465. google scholar
• Ma Y, Han T, Yang Q, et al. Viscoelastic cell microenvi-ronment: Hydrogel-based strategy for recapitulating dynamic ECM mechanics. Adv Funct Mater. 2021;31(24):2100848. doi:10.1002/adfm.202100848 google scholar

Citations