Title |
Lung bioengineering: physical stimuli and stem/progenitor cell biology interplay towards biofabricating a functional organ
|
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Published in |
Respiratory Research, November 2016
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DOI | 10.1186/s12931-016-0477-6 |
Pubmed ID | |
Authors |
Paula N. Nonaka, Juan J. Uriarte, Noelia Campillo, Vinicius R. Oliveira, Daniel Navajas, Ramon Farré |
Abstract |
A current approach to obtain bioengineered lungs as a future alternative for transplantation is based on seeding stem cells on decellularized lung scaffolds. A fundamental question to be solved in this approach is how to drive stem cell differentiation onto the different lung cell phenotypes. Whereas the use of soluble factors as agents to modulate the fate of stem cells was established from an early stage of the research with this type of cells, it took longer to recognize that the physical microenvironment locally sensed by stem cells (e.g. substrate stiffness, 3D architecture, cyclic stretch, shear stress, air-liquid interface, oxygenation gradient) also contributes to their differentiation. The potential role played by physical stimuli would be particularly relevant in lung bioengineering since cells within the organ are physiologically subjected to two main stimuli required to facilitate efficient gas exchange: air ventilation and blood perfusion across the organ. The present review focuses on describing how the cell mechanical microenvironment can modulate stem cell differentiation and how these stimuli could be incorporated into lung bioreactors for optimizing organ bioengineering. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 33% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
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Science communicators (journalists, bloggers, editors) | 1 | 17% |
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Mendeley readers
Geographical breakdown
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Unknown | 68 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 14% |
Student > Master | 9 | 13% |
Student > Bachelor | 7 | 10% |
Student > Doctoral Student | 3 | 4% |
Other | 11 | 16% |
Unknown | 18 | 26% |
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Other | 10 | 14% |
Unknown | 21 | 30% |