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Multicompartment duct platform to study epithelial-endothelial crosstalk associated with lung adenocarcinoma.
Gagnon, Keith A; Huang, Jessie; Hix, Olivia T; Hui, Veronica W; Hinds, Anne; Bullitt, Esther; Eyckmans, Jeroen; Kotton, Darrell N; Chen, Christopher S.
Afiliación
  • Hui VW; Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
  • Hinds A; The Pulmonary Center and Department of Medicine, Boston University Chobian & Avedisian School of Medicine, Boston, Massachusetts 02118, USA.
  • Bullitt E; Department of Pharmacology, Physiology & Biophysics, Boston University Chobian & Avedisian School of Medicine, Boston, Massachusetts 02118, USA.
APL Bioeng ; 8(2): 026126, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38911024
ABSTRACT
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.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: APL Bioeng Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: APL Bioeng Año: 2024 Tipo del documento: Article