A 3D Toolbox to Enhance Physiological Relevance of Human Tissue Models

A 3D Toolbox to Enhance Physiological Relevance of Human Tissue Models We discuss the current challenges and future prospects of flow-based organoid models and 3D self-assembling scaffolds. The existing paradigm of 3D culture suffers from a lack of control over organoid size and shape; can be an obstacle for cell harvesting and extended cellular and molecular analysis; and does not provide access to the function of exocrine glands. Moreover, existing organ-on-chip models are mostly composed of 2D extracellular matrix (ECM)-coated elastomeric membranes that do not mimic real organ architectures. A new comprehensive 3D toolbox for cell biology has emerged to address some of these issues. Advances in microfabrication and cell-culturing approaches enable the engineering of sophisticated models that mimic organ 3D architectures and physiological conditions, while supporting flow-based drug screening and secretomics-based diagnosis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Trends in Biotechnology Elsevier

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Publisher
Elsevier Current Trends
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
0167-7799
D.O.I.
10.1016/j.tibtech.2016.06.012
Publisher site
See Article on Publisher Site

Abstract

We discuss the current challenges and future prospects of flow-based organoid models and 3D self-assembling scaffolds. The existing paradigm of 3D culture suffers from a lack of control over organoid size and shape; can be an obstacle for cell harvesting and extended cellular and molecular analysis; and does not provide access to the function of exocrine glands. Moreover, existing organ-on-chip models are mostly composed of 2D extracellular matrix (ECM)-coated elastomeric membranes that do not mimic real organ architectures. A new comprehensive 3D toolbox for cell biology has emerged to address some of these issues. Advances in microfabrication and cell-culturing approaches enable the engineering of sophisticated models that mimic organ 3D architectures and physiological conditions, while supporting flow-based drug screening and secretomics-based diagnosis.

Journal

Trends in BiotechnologyElsevier

Published: Sep 1, 2016

References

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