The Combined Thermoresponsive Cell-Imprinted Substrate, Induced Differentiation, and "KLC Sheet" Formation.
Neda KeyhanvarNosratollah ZarghamiAlexander SeifalianPeyman KeyhanvarRana SarvariRoya SalehiReza RahbarghaziMohammadreza RanjkeshMolood AkbarzadehMahdi MahdipourMohammad NouriPublished in: Advanced pharmaceutical bulletin (2021)
Purpose: Stem cells can exhibit restorative effects with the commitment to functional cells.Cell-imprinted topographies provide adaptable templates and certain dimensions for thedifferentiation and bioactivity of stem cells. Cell sheet technology using the thermo-responsivepolymers detaches the "cell sheets" easier with less destructive effects on the extracellularmatrix (ECM). Here, we aim to dictate keratinocyte-like differentiation of mesenchymal stemcells (MSCs) by using combined cell imprinting and sheet technology. Methods: We developed the poly dimethyl siloxane (PDMS) substrate having keratinocytecell-imprinted topography grafted with the PNIPAAm polymer. Adipose tissue-derived MSCs(AT-MSCs) were cultured on PDMS substrate for 14 days and keratinocyte-like differentiationmonitored via the expression of involucrin, P63, and cytokeratin 14. Results: Data showed the efficiency of the current protocol in the fabrication of PDMSmolds. The culture of AT-MSCs induced typical keratinocyte morphology and up-regulatedthe expression of cytokeratin-14, Involucrin, and P63 compared to AT-MSCs cultured on theplastic surface ( P < 0.05). Besides, KLC sheets were generated once slight changes occur in theenvironment temperature. Conclusion: These data showed the hypothesis that keratinocyte cell imprinted substrate canorient AT-MSCs toward KLCs by providing a specific niche and topography.
Keyphrases
- stem cells
- single cell
- cell therapy
- mesenchymal stem cells
- adipose tissue
- poor prognosis
- randomized controlled trial
- umbilical cord
- machine learning
- high fat diet
- induced apoptosis
- signaling pathway
- long non coding rna
- artificial intelligence
- insulin resistance
- deep learning
- skeletal muscle
- electronic health record
- high glucose
- high resolution