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https://hdl.handle.net/10356/145362
Title: | Peptide-protein coassembling matrices as a biomimetic 3D model of ovarian cancer | Authors: | Hedegaard, Clara Louise Redondo-Gómez, Carlos Tan, Bee Yi Ng, Kee Woei Loessner, Daniela Mata, Alvaro |
Keywords: | Engineering::Bioengineering | Issue Date: | 2020 | Source: | Hedegaard, C. L., Redondo-Gómez, C., Tan, B. Y., Ng, K. W., Loessner, D., & Mata, A. (2020). Peptide-protein coassembling matrices as a biomimetic 3D model of ovarian cancer. Science Advances, 6(40), eabb3298-. doi:10.1126/sciadv.abb3298 | Journal: | Science Advances | Abstract: | Bioengineered three-dimensional (3D) matrices expand our experimental repertoire to study tumor growth and progression in a biologically relevant, yet controlled, manner. Here, we used peptide amphiphiles (PAs) to coassemble with and organize extracellular matrix (ECM) proteins producing tunable 3D models of the tumor microenvironment. The matrix was designed to mimic physical and biomolecular features of tumors present in patients. We included specific epitopes, PA nanofibers, and ECM macromolecules for the 3D culture of human ovarian cancer, endothelial, and mesenchymal stem cells. The multicellular constructs supported the formation of tumor spheroids with extensive F-actin networks surrounding the spheroids, enabling cell-cell communication, and comparative cell-matrix interactions and encapsulation response to those observed in Matrigel. We conducted a proof-of-concept study with clinically used chemotherapeutics to validate the functionality of the multicellular constructs. Our study demonstrates that peptide-protein coassembling matrices serve as a defined model of the multicellular tumor microenvironment of primary ovarian tumors. | URI: | https://hdl.handle.net/10356/145362 | ISSN: | 2375-2548 | DOI: | 10.1126/sciadv.abb3298 | Rights: | © 2020 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 NonCommercial License 4.0 (CC BY-NC). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MSE Journal Articles |
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Science Journals — AAAS - eabb3298.full.pdf | 8.51 MB | Adobe PDF | View/Open |
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