Keith A Gagnon, Jessie Huang, Olivia T Hix, Veronica W Hui, Anne Hinds, Esther Bullitt, Jeroen Eyckmans, Darrell N Kotton, Christopher S Chen
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Multicompartment duct platform to study epithelial-endothelial crosstalk associated with lung adenocarcinoma.
Previous lung-on-chip devices have facilitated significant advances in our understanding of lung biology and pathology. Here, we describe a novel lung-on-a-chip model in which human induced pluripotent stem cell-derived alveolar epithelial type II cells (iAT2s) form polarized duct-like lumens alongside engineered perfused vessels lined with human umbilical vein endothelium, all within a 3D, physiologically relevant microenvironment. Using this model, we investigated the morphologic and signaling consequences of the KRASG12D mutation, a commonly identified oncogene in human lung adenocarcinoma (LUAD). We show that expression of the mutant KRASG12D isoform in iAT2s leads to a hyperproliferative response and morphologic dysregulation in the epithelial monolayer. Interestingly, the mutant epithelia also drive an angiogenic response in the adjacent vasculature that is mediated by enhanced secretion of the pro-angiogenic factor soluble uPAR. These results demonstrate the functionality of a multi-cellular in vitro platform capable of modeling mutation-specific behavioral and signaling changes associated with lung adenocarcinoma.
期刊介绍:
APL Bioengineering is devoted to research at the intersection of biology, physics, and engineering. The journal publishes high-impact manuscripts specific to the understanding and advancement of physics and engineering of biological systems. APL Bioengineering is the new home for the bioengineering and biomedical research communities.
APL Bioengineering publishes original research articles, reviews, and perspectives. Topical coverage includes:
-Biofabrication and Bioprinting
-Biomedical Materials, Sensors, and Imaging
-Engineered Living Systems
-Cell and Tissue Engineering
-Regenerative Medicine
-Molecular, Cell, and Tissue Biomechanics
-Systems Biology and Computational Biology