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Characterizing cellular mechanical phenotypes with mechano-node-pore sensing
The mechanical properties of cells change with their differentiation, chronological age, and malignant progression. Consequently, these properties may be useful label-free biomarkers of various functional or clinically relevant cell states. Here, we demonstrate mechano-node-pore sensing (mechano-NPS...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958920/ https://www.ncbi.nlm.nih.gov/pubmed/29780657 http://dx.doi.org/10.1038/micronano.2017.91 |
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author | Kim, Junghyun Han, Sewoon Lei, Andy Miyano, Masaru Bloom, Jessica Srivastava, Vasudha Stampfer, Martha R. Gartner, Zev J. LaBarge, Mark A. Sohn, Lydia L. |
author_facet | Kim, Junghyun Han, Sewoon Lei, Andy Miyano, Masaru Bloom, Jessica Srivastava, Vasudha Stampfer, Martha R. Gartner, Zev J. LaBarge, Mark A. Sohn, Lydia L. |
author_sort | Kim, Junghyun |
collection | PubMed |
description | The mechanical properties of cells change with their differentiation, chronological age, and malignant progression. Consequently, these properties may be useful label-free biomarkers of various functional or clinically relevant cell states. Here, we demonstrate mechano-node-pore sensing (mechano-NPS), a multi-parametric single-cell-analysis method that utilizes a four-terminal measurement of the current across a microfluidic channel to quantify simultaneously cell diameter, resistance to compressive deformation, transverse deformation under constant strain, and recovery time after deformation. We define a new parameter, the whole-cell deformability index (wCDI), which provides a quantitative mechanical metric of the resistance to compressive deformation that can be used to discriminate among different cell types. The wCDI and the transverse deformation under constant strain show malignant MCF-7 and A549 cell lines are mechanically distinct from non-malignant, MCF-10A and BEAS-2B cell lines, and distinguishes between cells treated or untreated with cytoskeleton-perturbing small molecules. We categorize cell recovery time, ΔT(r), as instantaneous (ΔT(r)~0 ms), transient (ΔT(r)⩽40 ms), or prolonged (ΔT(r)>40 ms), and show that the composition of recovery types, which is a consequence of changes in cytoskeletal organization, correlates with cellular transformation. Through the wCDI and cell-recovery time, mechano-NPS discriminates between sub-lineages of normal primary human mammary epithelial cells with accuracy comparable to flow cytometry, but without antibody labeling. Mechano-NPS identifies mechanical phenotypes that distinguishes lineage, chronological age, and stage of malignant progression in human epithelial cells. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/micronano.2017.91) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5958920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59589202018-05-18 Characterizing cellular mechanical phenotypes with mechano-node-pore sensing Kim, Junghyun Han, Sewoon Lei, Andy Miyano, Masaru Bloom, Jessica Srivastava, Vasudha Stampfer, Martha R. Gartner, Zev J. LaBarge, Mark A. Sohn, Lydia L. Microsyst Nanoeng Article The mechanical properties of cells change with their differentiation, chronological age, and malignant progression. Consequently, these properties may be useful label-free biomarkers of various functional or clinically relevant cell states. Here, we demonstrate mechano-node-pore sensing (mechano-NPS), a multi-parametric single-cell-analysis method that utilizes a four-terminal measurement of the current across a microfluidic channel to quantify simultaneously cell diameter, resistance to compressive deformation, transverse deformation under constant strain, and recovery time after deformation. We define a new parameter, the whole-cell deformability index (wCDI), which provides a quantitative mechanical metric of the resistance to compressive deformation that can be used to discriminate among different cell types. The wCDI and the transverse deformation under constant strain show malignant MCF-7 and A549 cell lines are mechanically distinct from non-malignant, MCF-10A and BEAS-2B cell lines, and distinguishes between cells treated or untreated with cytoskeleton-perturbing small molecules. We categorize cell recovery time, ΔT(r), as instantaneous (ΔT(r)~0 ms), transient (ΔT(r)⩽40 ms), or prolonged (ΔT(r)>40 ms), and show that the composition of recovery types, which is a consequence of changes in cytoskeletal organization, correlates with cellular transformation. Through the wCDI and cell-recovery time, mechano-NPS discriminates between sub-lineages of normal primary human mammary epithelial cells with accuracy comparable to flow cytometry, but without antibody labeling. Mechano-NPS identifies mechanical phenotypes that distinguishes lineage, chronological age, and stage of malignant progression in human epithelial cells. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/micronano.2017.91) contains supplementary material, which is available to authorized users. Nature Publishing Group UK 2018-03-12 2018 /pmc/articles/PMC5958920/ /pubmed/29780657 http://dx.doi.org/10.1038/micronano.2017.91 Text en © The Author(s) 2018 This work is licensed under a Creative Commons Attribution 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/4.0/ |
spellingShingle | Article Kim, Junghyun Han, Sewoon Lei, Andy Miyano, Masaru Bloom, Jessica Srivastava, Vasudha Stampfer, Martha R. Gartner, Zev J. LaBarge, Mark A. Sohn, Lydia L. Characterizing cellular mechanical phenotypes with mechano-node-pore sensing |
title | Characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
title_full | Characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
title_fullStr | Characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
title_full_unstemmed | Characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
title_short | Characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
title_sort | characterizing cellular mechanical phenotypes with
mechano-node-pore sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958920/ https://www.ncbi.nlm.nih.gov/pubmed/29780657 http://dx.doi.org/10.1038/micronano.2017.91 |
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