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3D niche microarrays for systems-level analyses of cell fate
The behaviour of mammalian cells in a tissue is governed by the three-dimensional (3D) microenvironment and involves a dynamic interplay between biochemical and mechanical signals provided by the extracellular matrix (ECM), cell–cell interactions and soluble factors. The complexity of the microenvir...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104440/ https://www.ncbi.nlm.nih.gov/pubmed/25027775 http://dx.doi.org/10.1038/ncomms5324 |
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author | Ranga, A. Gobaa, S. Okawa, Y. Mosiewicz, K. Negro, A. Lutolf, M. P. |
author_facet | Ranga, A. Gobaa, S. Okawa, Y. Mosiewicz, K. Negro, A. Lutolf, M. P. |
author_sort | Ranga, A. |
collection | PubMed |
description | The behaviour of mammalian cells in a tissue is governed by the three-dimensional (3D) microenvironment and involves a dynamic interplay between biochemical and mechanical signals provided by the extracellular matrix (ECM), cell–cell interactions and soluble factors. The complexity of the microenvironment and the context-dependent cell responses that arise from these interactions have posed a major challenge to understanding the underlying regulatory mechanisms. Here we develop an experimental paradigm to dissect the role of various interacting factors by simultaneously synthesizing more than 1,000 unique microenvironments with robotic nanolitre liquid-dispensing technology and by probing their effects on cell fate. Using this novel 3D microarray platform, we assess the combined effects of matrix elasticity, proteolytic degradability and three distinct classes of signalling proteins on mouse embryonic stem cells, unveiling a comprehensive map of interactions involved in regulating self-renewal. This approach is broadly applicable to gain a systems-level understanding of multifactorial 3D cell–matrix interactions. |
format | Online Article Text |
id | pubmed-4104440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41044402014-07-22 3D niche microarrays for systems-level analyses of cell fate Ranga, A. Gobaa, S. Okawa, Y. Mosiewicz, K. Negro, A. Lutolf, M. P. Nat Commun Article The behaviour of mammalian cells in a tissue is governed by the three-dimensional (3D) microenvironment and involves a dynamic interplay between biochemical and mechanical signals provided by the extracellular matrix (ECM), cell–cell interactions and soluble factors. The complexity of the microenvironment and the context-dependent cell responses that arise from these interactions have posed a major challenge to understanding the underlying regulatory mechanisms. Here we develop an experimental paradigm to dissect the role of various interacting factors by simultaneously synthesizing more than 1,000 unique microenvironments with robotic nanolitre liquid-dispensing technology and by probing their effects on cell fate. Using this novel 3D microarray platform, we assess the combined effects of matrix elasticity, proteolytic degradability and three distinct classes of signalling proteins on mouse embryonic stem cells, unveiling a comprehensive map of interactions involved in regulating self-renewal. This approach is broadly applicable to gain a systems-level understanding of multifactorial 3D cell–matrix interactions. Nature Pub. Group 2014-07-14 /pmc/articles/PMC4104440/ /pubmed/25027775 http://dx.doi.org/10.1038/ncomms5324 Text en Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Ranga, A. Gobaa, S. Okawa, Y. Mosiewicz, K. Negro, A. Lutolf, M. P. 3D niche microarrays for systems-level analyses of cell fate |
title | 3D niche microarrays for systems-level analyses of cell fate |
title_full | 3D niche microarrays for systems-level analyses of cell fate |
title_fullStr | 3D niche microarrays for systems-level analyses of cell fate |
title_full_unstemmed | 3D niche microarrays for systems-level analyses of cell fate |
title_short | 3D niche microarrays for systems-level analyses of cell fate |
title_sort | 3d niche microarrays for systems-level analyses of cell fate |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104440/ https://www.ncbi.nlm.nih.gov/pubmed/25027775 http://dx.doi.org/10.1038/ncomms5324 |
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