Three-dimensional scaffolds of acellular human and porcine lungs for high throughput studies of lung disease and regeneration

  • Darcy E. Wagner
  • , Nicholas R. Bonenfant
  • , Dino Sokocevic
  • , Michael J. DeSarno
  • , Zachary D. Borg
  • , Charles S. Parsons
  • , Elice M. Brooks
  • , Joseph J. Platz
  • , Zain I. Khalpey
  • , David M. Hoganson
  • , Bin Deng
  • , Ying W. Lam
  • , Rachael A. Oldinski
  • , Takamaru Ashikaga
  • , Daniel J. Weiss

Research output: Contribution to journalArticlepeer-review

Abstract

Acellular scaffolds from complex whole organs such as lung are being increasingly studied for ex vivo organ generation and for in vitro studies of cell-extracellular matrix interactions. We have established effective methods for efficient de and recellularization of large animal and human lungs including techniques which allow multiple small segments (~1-3 cm3) to be excised that retain 3-dimensional lung structure. Coupled with the use of a synthetic pleural coating, cells can be selectively physiologically inoculated via preserved vascular and airway conduits. Inoculated segments can be further sliced for high throughput studies. Further, we demonstrate thermography as a powerful noninvasive technique for monitoring perfusion decellularization and for evaluating preservation of vascular and airway networks following human and porcine lung decellularization. Collectively, these techniques are a significant step forward as they allow high throughput in vitro studies from a single lung or lobe in a more biologically relevant, three-dimensional acellular scaffold.

Original languageEnglish (US)
Pages (from-to)2664-2679
Number of pages16
JournalBiomaterials
Volume35
Issue number9
DOIs
StatePublished - Mar 2014

Keywords

  • Acellular matrix
  • Endothelial cell
  • Epithelial cell
  • Extracellular matrix (ECM)
  • Human lung fibroblast
  • Mesenchymal stem cell

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Ceramics and Composites
  • Biomaterials
  • Mechanics of Materials

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