Abstract
Biophysical cues synergize with biochemical cues to drive differentiation of pluripotent stem cells through specific phenotypic trajectory. Tools to manipulate the cell biophysical environment and identify the influence of specific environment perturbation in the presence of combinatorial inputs will be critical to control the development trajectory. Here we describe the procedure to perturb biophysical environment of pluripotent stem cells while maintaining them in 3D culture configuration. We also discuss a high-throughput platform for combinatorial perturbation of the cell microenvironment, and detail a statistical procedure to extract dominant environmental influences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Discher DE, Mooney DJ, Zandstra PW (2009) Growth factors, matrices, and forces combine and control stem cells. Science 324(5935):1673–1677
Discher DE, Janmey P, Wang YL (2005) Tissue cells feel and respond to the stiffness of their substrate. Science 310(5751):1139–1143
Christopherson GT, Song H, Mao HQ (2009) The influence of fiber diameter of electrospun substrates on neural stem cell differentiation and proliferation. Biomaterials 30(4):556–564
Guilak F et al (2009) Control of stem cell fate by physical interactions with the extracellular matrix. Cell Stem Cell 5(1):17–26
Lee DA et al (2011) Stem cell mechanobiology. J Cell Biochem 112(1):1–9
Reilly GC, Engler AJ (2010) Intrinsic extracellular matrix properties regulate stem cell differentiation. J Biomech 43(1):55–62
Gasiorowski JZ, Murphy CJ, Nealey PF (2013) Biophysical cues and cell behavior: the big impact of little things. Annu Rev Biomed Eng 15:155–176
Engler AJ et al (2006) Matrix elasticity directs stem cell lineage specification. Cell 126(4):677–689
Candiello J et al (2013) Early differentiation patterning of mouse embryonic stem cells in response to variations in alginate substrate stiffness. J Biol Eng 7(1):9
Jaramillo M et al (2015) Inducing endoderm differentiation by modulating mechanical properties of soft substrates. J Tissue Eng Regen Med 9(1):1–12
Task K et al (2014) Systems level approach reveals the correlation of endoderm differentiation of mouse embryonic stem cells with specific microstructural cues of fibrin gels. J R Soc Interface 11(95):20140009
Zhang XN et al (2012) Analysis of regulatory network involved in mechanical induction of embryonic stem cell differentiation. PLoS One 7(4):e35700
Richardson T, Kumta PN, Banerjee I (2014) Alginate encapsulation of human embryonic stem cells to enhance directed differentiation to pancreatic islet-like cells. Tissue Eng Part A 20(23–24):3198–3211
Richardson T et al (2016) Capsule stiffness regulates the efficiency of pancreatic differentiation of human embryonic stem cells. Acta Biomater 35:153–165
Lee LH et al (2009) Micropatterning of human embryonic stem cells dissects the mesoderm and endoderm lineages. Stem Cell Res 2(2):155–162
Flaim CJ, Chien S, Bhatia SN (2005) An extracellular matrix microarray for probing cellular differentiation. Nat Methods 2(2):119–125
Derda R et al (2010) High-throughput discovery of synthetic surfaces that support proliferation of pluripotent cells. J Am Chem Soc 132(4):1289–1295
Ankam S et al (2013) Substrate topography and size determine the fate of human embryonic stem cells to neuronal or glial lineage. Acta Biomater 9(1):4535–4545
Ranga A et al (2014) 3D niche microarrays for systems-level analyses of cell fate. Nat Commun 5:4324
Huang X et al (2012) Microenvironment of alginate-based microcapsules for cell culture and tissue engineering. J Biosci Bioeng 114(1):1–8
Morch YA et al (2006) Effect of Ca2+, Ba2+, and Sr2+ on alginate microbeads. Biomacromolecules 7(5):1471–1480
Chan ES et al (2011) Effect of formulation of alginate beads on their mechanical behavior and stiffness. Particuology 9(3):228–234
Lee BH, Li B, Guelcher SA (2012) Gel microstructure regulates proliferation and differentiation of MC3T3-E1 cells encapsulated in alginate beads. Acta Biomater 8(5):1693–1702
Banerjee A et al (2009) The influence of hydrogel modulus on the proliferation and differentiation of encapsulated neural stem cells. Biomaterials 30(27):4695–4699
Musah S et al (2012) Glycosaminoglycan-binding hydrogels enable mechanical control of human pluripotent stem cell self-renewal. ACS Nano 6(11):10168–10177
Richardson TC et al (2018) Development of an alginate array platform to decouple the effect of multiparametric perturbations on human pluripotent stem cells during pancreatic differentiation. Biotechnol J 13(2):1700099
Mathew S et al (2012) Analysis of alternative signaling pathways of endoderm induction of human embryonic stem cells identifies context specific differences. BMC Syst Biol 6:154
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Richardson, T. et al. (2021). Engineering Biophysical Cues for Controlled 3D Differentiation of Endoderm Derivatives. In: Ebrahimkhani, M.R., Hislop, J. (eds) Programmed Morphogenesis. Methods in Molecular Biology, vol 2258. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1174-6_6
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1174-6_6
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1173-9
Online ISBN: 978-1-0716-1174-6
eBook Packages: Springer Protocols