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Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets

Understanding the immune response to hydrogel implantation is critical for the design of immunomodulatory biomaterials. To study the progression of inflammation around poly(ethylene glycol) hydrogels presenting Arg-Gly-Asp (RGD) peptides and vascular endothelial growth factor, we used temporal analy...

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Autores principales: Fernandez-Yague, Marc A., Hymel, Lauren A., Olingy, Claire E., McClain, Claire, Ogle, Molly E., García, José R., Minshew, Dustin, Vyshnya, Sofiya, Lim, Hong Seo, Qiu, Peng, García, Andrés J., Botchwey, Edward A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880784/
https://www.ncbi.nlm.nih.gov/pubmed/35213226
http://dx.doi.org/10.1126/sciadv.abd8056
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author Fernandez-Yague, Marc A.
Hymel, Lauren A.
Olingy, Claire E.
McClain, Claire
Ogle, Molly E.
García, José R.
Minshew, Dustin
Vyshnya, Sofiya
Lim, Hong Seo
Qiu, Peng
García, Andrés J.
Botchwey, Edward A.
author_facet Fernandez-Yague, Marc A.
Hymel, Lauren A.
Olingy, Claire E.
McClain, Claire
Ogle, Molly E.
García, José R.
Minshew, Dustin
Vyshnya, Sofiya
Lim, Hong Seo
Qiu, Peng
García, Andrés J.
Botchwey, Edward A.
author_sort Fernandez-Yague, Marc A.
collection PubMed
description Understanding the immune response to hydrogel implantation is critical for the design of immunomodulatory biomaterials. To study the progression of inflammation around poly(ethylene glycol) hydrogels presenting Arg-Gly-Asp (RGD) peptides and vascular endothelial growth factor, we used temporal analysis of high-dimensional flow cytometry data paired with intravital imaging, immunohistochemistry, and multiplexed proteomic profiling. RGD-presenting hydrogels created a reparative microenvironment promoting CD206(+) cellular infiltration and revascularization in wounded dorsal skin tissue. Unbiased clustering algorithms (SPADE) revealed significant phenotypic transition shifts as a function of the cell-adhesion hydrogel properties. SPADE identified an intermediate macrophage subset functionally regulating in vivo cytokine secretion that was preferentially recruited for RGD-presenting hydrogels, whereas dendritic cell subsets were preferentially recruited to RDG-presenting hydrogels. Last, RGD-presenting hydrogels controlled macrophage functional cytokine secretion to direct polarization and vascularization. Our studies show that unbiased clustering of single-cell data provides unbiased insights into the underlying immune response to engineered materials.
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spelling pubmed-88807842022-03-10 Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets Fernandez-Yague, Marc A. Hymel, Lauren A. Olingy, Claire E. McClain, Claire Ogle, Molly E. García, José R. Minshew, Dustin Vyshnya, Sofiya Lim, Hong Seo Qiu, Peng García, Andrés J. Botchwey, Edward A. Sci Adv Biomedicine and Life Sciences Understanding the immune response to hydrogel implantation is critical for the design of immunomodulatory biomaterials. To study the progression of inflammation around poly(ethylene glycol) hydrogels presenting Arg-Gly-Asp (RGD) peptides and vascular endothelial growth factor, we used temporal analysis of high-dimensional flow cytometry data paired with intravital imaging, immunohistochemistry, and multiplexed proteomic profiling. RGD-presenting hydrogels created a reparative microenvironment promoting CD206(+) cellular infiltration and revascularization in wounded dorsal skin tissue. Unbiased clustering algorithms (SPADE) revealed significant phenotypic transition shifts as a function of the cell-adhesion hydrogel properties. SPADE identified an intermediate macrophage subset functionally regulating in vivo cytokine secretion that was preferentially recruited for RGD-presenting hydrogels, whereas dendritic cell subsets were preferentially recruited to RDG-presenting hydrogels. Last, RGD-presenting hydrogels controlled macrophage functional cytokine secretion to direct polarization and vascularization. Our studies show that unbiased clustering of single-cell data provides unbiased insights into the underlying immune response to engineered materials. American Association for the Advancement of Science 2022-02-25 /pmc/articles/PMC8880784/ /pubmed/35213226 http://dx.doi.org/10.1126/sciadv.abd8056 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biomedicine and Life Sciences
Fernandez-Yague, Marc A.
Hymel, Lauren A.
Olingy, Claire E.
McClain, Claire
Ogle, Molly E.
García, José R.
Minshew, Dustin
Vyshnya, Sofiya
Lim, Hong Seo
Qiu, Peng
García, Andrés J.
Botchwey, Edward A.
Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title_full Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title_fullStr Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title_full_unstemmed Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title_short Analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
title_sort analyzing immune response to engineered hydrogels by hierarchical clustering of inflammatory cell subsets
topic Biomedicine and Life Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880784/
https://www.ncbi.nlm.nih.gov/pubmed/35213226
http://dx.doi.org/10.1126/sciadv.abd8056
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