Ensemble Analysis of Angiogenic Growth in Three-Dimensional Microfluidic Cell Cultures
We demonstrate ensemble three-dimensional cell cultures and quantitative analysis of angiogenic growth from uniform endothelial monolayers. Our approach combines two key elements: a micro-fluidic assay that enables parallelized angiogenic growth instances subject to common extracellular conditions,...
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Published in | PloS one Vol. 7; no. 5; p. e37333 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
25.05.2012
Public Library of Science (PLoS) |
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Abstract | We demonstrate ensemble three-dimensional cell cultures and quantitative analysis of angiogenic growth from uniform endothelial monolayers. Our approach combines two key elements: a micro-fluidic assay that enables parallelized angiogenic growth instances subject to common extracellular conditions, and an automated image acquisition and processing scheme enabling high-throughput, unbiased quantification of angiogenic growth. Because of the increased throughput of the assay in comparison to existing three-dimensional morphogenic assays, statistical properties of angiogenic growth can be reliably estimated. We used the assay to evaluate the combined effects of vascular endothelial growth factor (VEGF) and the signaling lipid sphingoshine-1-phosphate (S1P). Our results show the importance of S1P in amplifying the angiogenic response in the presence of VEGF gradients. Furthermore, the application of S1P with VEGF gradients resulted in angiogenic sprouts with higher aspect ratio than S1P with background levels of VEGF, despite reduced total migratory activity. This implies a synergistic effect between the growth factors in promoting angiogenic activity. Finally, the variance in the computed angiogenic metrics (as measured by ensemble standard deviation) was found to increase linearly with the ensemble mean. This finding is consistent with stochastic agent-based mathematical models of angiogenesis that represent angiogenic growth as a series of independent stochastic cell-level decisions. |
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AbstractList | We demonstrate ensemble three-dimensional cell cultures and quantitative analysis of angiogenic growth from uniform endothelial monolayers. Our approach combines two key elements: a micro-fluidic assay that enables parallelized angiogenic growth instances subject to common extracellular conditions, and an automated image acquisition and processing scheme enabling high-throughput, unbiased quantification of angiogenic growth. Because of the increased throughput of the assay in comparison to existing three-dimensional morphogenic assays, statistical properties of angiogenic growth can be reliably estimated. We used the assay to evaluate the combined effects of vascular endothelial growth factor (VEGF) and the signaling lipid sphingoshine-1-phosphate (S1P). Our results show the importance of S1P in amplifying the angiogenic response in the presence of VEGF gradients. Furthermore, the application of S1P with VEGF gradients resulted in angiogenic sprouts with higher aspect ratio than S1P with background levels of VEGF, despite reduced total migratory activity. This implies a synergistic effect between the growth factors in promoting angiogenic activity. Finally, the variance in the computed angiogenic metrics (as measured by ensemble standard deviation) was found to increase linearly with the ensemble mean. This finding is consistent with stochastic agent-based mathematical models of angiogenesis that represent angiogenic growth as a series of independent stochastic cell-level decisions. We demonstrate ensemble three-dimensional cell cultures and quantitative analysis of angiogenic growth from uniform endothelial monolayers. Our approach combines two key elements: a micro-fluidic assay that enables parallelized angiogenic growth instances subject to common extracellular conditions, and an automated image acquisition and processing scheme enabling high-throughput, unbiased quantification of angiogenic growth. Because of the increased throughput of the assay in comparison to existing three-dimensional morphogenic assays, statistical properties of angiogenic growth can be reliably estimated. We used the assay to evaluate the combined effects of vascular endothelial growth factor (VEGF) and the signaling lipid sphingoshine-1-phosphate (S1P). Our results show the importance of S1P in amplifying the angiogenic response in the presence of VEGF gradients. Furthermore, the application of S1P with VEGF gradients resulted in angiogenic sprouts with higher aspect ratio than S1P with background levels of VEGF, despite reduced total migratory activity. This implies a synergistic effect between the growth factors in promoting angiogenic activity. Finally, the variance in the computed angiogenic metrics (as measured by ensemble standard deviation) was found to increase linearly with the ensemble mean. This finding is consistent with stochastic agent-based mathematical models of angiogenesis that represent angiogenic growth as a series of independent stochastic cell-level decisions.We demonstrate ensemble three-dimensional cell cultures and quantitative analysis of angiogenic growth from uniform endothelial monolayers. Our approach combines two key elements: a micro-fluidic assay that enables parallelized angiogenic growth instances subject to common extracellular conditions, and an automated image acquisition and processing scheme enabling high-throughput, unbiased quantification of angiogenic growth. Because of the increased throughput of the assay in comparison to existing three-dimensional morphogenic assays, statistical properties of angiogenic growth can be reliably estimated. We used the assay to evaluate the combined effects of vascular endothelial growth factor (VEGF) and the signaling lipid sphingoshine-1-phosphate (S1P). Our results show the importance of S1P in amplifying the angiogenic response in the presence of VEGF gradients. Furthermore, the application of S1P with VEGF gradients resulted in angiogenic sprouts with higher aspect ratio than S1P with background levels of VEGF, despite reduced total migratory activity. This implies a synergistic effect between the growth factors in promoting angiogenic activity. Finally, the variance in the computed angiogenic metrics (as measured by ensemble standard deviation) was found to increase linearly with the ensemble mean. This finding is consistent with stochastic agent-based mathematical models of angiogenesis that represent angiogenic growth as a series of independent stochastic cell-level decisions. |
Audience | Academic |
Author | Zervantonakis, Ioannis K. Neal, Devin Kamm, Roger D. Farahat, Waleed A. Schor, Alisha Wood, Levi B. Ong, Sharon Asada, H. Harry |
AuthorAffiliation | 3 BioSym Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore 1 Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America Université de Technologie de Compiègne, France 2 Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America |
AuthorAffiliation_xml | – name: 1 Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America – name: Université de Technologie de Compiègne, France – name: 2 Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America – name: 3 BioSym Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore |
Author_xml | – sequence: 1 givenname: Waleed A. surname: Farahat fullname: Farahat, Waleed A. – sequence: 2 givenname: Levi B. surname: Wood fullname: Wood, Levi B. – sequence: 3 givenname: Ioannis K. surname: Zervantonakis fullname: Zervantonakis, Ioannis K. – sequence: 4 givenname: Alisha surname: Schor fullname: Schor, Alisha – sequence: 5 givenname: Sharon surname: Ong fullname: Ong, Sharon – sequence: 6 givenname: Devin surname: Neal fullname: Neal, Devin – sequence: 7 givenname: Roger D. surname: Kamm fullname: Kamm, Roger D. – sequence: 8 givenname: H. Harry surname: Asada fullname: Asada, H. Harry |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22662145$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2012 Public Library of Science 2012 Farahat et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Farahat et al. 2012 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: WAF LBW RDK HHA. Performed the experiments: WAF LBW IKZ SO AS DN. Analyzed the data: WAF IKZ. Wrote the paper: WAF LBW IKZ RDK HHA. |
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SubjectTerms | Angiogenesis Angiogenesis Inducing Agents - pharmacology Artificial intelligence Aspect ratio Assaying Background levels Baseline studies Bioengineering Biology Biotechnology Cell culture Cell Culture Techniques - instrumentation Cell Culture Techniques - methods Design of experiments Endothelial Cells - drug effects Endothelial Cells - physiology Endothelium Engineering Flow cytometry Growth Growth factors Humans Image acquisition Interdisciplinary aspects Lysophospholipids - pharmacology Mathematical models Mechanical engineering Medical imaging Medicine Microfluidics Microfluidics - instrumentation Microfluidics - methods Monomolecular films Morphology Neovascularization, Physiologic - drug effects Neovascularization, Physiologic - physiology Parallel processing Phosphates Quantitative analysis Signaling Sphingosine - analogs & derivatives Sphingosine - pharmacology Statistical analysis Stochasticity Studies Synergistic effect Tissue engineering Vascular endothelial growth factor Vascular Endothelial Growth Factor A - pharmacology |
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Title | Ensemble Analysis of Angiogenic Growth in Three-Dimensional Microfluidic Cell Cultures |
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