<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim J</submitter><funding>Jungsong Foundation</funding><funding>NIBIB NIH HHS</funding><funding>NCI NIH HHS</funding><funding>NIH</funding><pagination>214-228</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6416673</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13</volume><pubmed_abstract>Viscoelastic properties of cells provide valuable information regarding biological or clinically relevant cellular characteristics. Here, we introduce a new, electronic-based, microfluidic platform-visco-node-pore sensing (visco-NPS)-which quantifies cellular viscoelastic properties under periodic deformation. We measure the storage (G') and loss (G″) moduli (i.e., elasticity and viscosity, respectively) of cells. By applying a wide range of deformation frequencies, our platform quantifies the frequency dependence of viscoelastic properties. G' and G″ measurements show that the viscoelastic properties of malignant breast epithelial cells (MCF-7) are distinctly different from those of non-malignant breast epithelial cells (MCF-10A). With its sensitivity, visco-NPS can dissect the individual contributions of different cytoskeletal components to whole-cell mechanical properties. Moreover, visco-NPS can quantify the mechanical transitions of cells as they traverse the cell cycle or are initiated into an epithelial-mesenchymal transition. Visco-NPS identifies viscoelastic characteristics of cell populations, providing a biophysical understanding of cellular behavior and a potential for clinical applications.</pubmed_abstract><journal>iScience</journal><pubmed_title>Visco-Node-Pore Sensing: A Microfluidic Rheology Platform to Characterize Viscoelastic Properties of Epithelial Cells.</pubmed_title><pmcid>PMC6416673</pmcid><funding_grant_id>1R01EB024989-01</funding_grant_id><funding_grant_id>R01 EB024989</funding_grant_id><funding_grant_id>1R21CA182375-01A1</funding_grant_id><funding_grant_id>R01 CA190843</funding_grant_id><funding_grant_id>R21 CA182375</funding_grant_id><pubmed_authors>Scheideler OJ</pubmed_authors><pubmed_authors>Sohn LL</pubmed_authors><pubmed_authors>Kim Y</pubmed_authors><pubmed_authors>Kim J</pubmed_authors><pubmed_authors>Li B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Visco-Node-Pore Sensing: A Microfluidic Rheology Platform to Characterize Viscoelastic Properties of Epithelial Cells.</name><description>Viscoelastic properties of cells provide valuable information regarding biological or clinically relevant cellular characteristics. Here, we introduce a new, electronic-based, microfluidic platform-visco-node-pore sensing (visco-NPS)-which quantifies cellular viscoelastic properties under periodic deformation. We measure the storage (G') and loss (G″) moduli (i.e., elasticity and viscosity, respectively) of cells. By applying a wide range of deformation frequencies, our platform quantifies the frequency dependence of viscoelastic properties. G' and G″ measurements show that the viscoelastic properties of malignant breast epithelial cells (MCF-7) are distinctly different from those of non-malignant breast epithelial cells (MCF-10A). With its sensitivity, visco-NPS can dissect the individual contributions of different cytoskeletal components to whole-cell mechanical properties. Moreover, visco-NPS can quantify the mechanical transitions of cells as they traverse the cell cycle or are initiated into an epithelial-mesenchymal transition. Visco-NPS identifies viscoelastic characteristics of cell populations, providing a biophysical understanding of cellular behavior and a potential for clinical applications.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Mar</publication><modification>2025-04-26T21:36:32.879Z</modification><creation>2019-08-03T07:14:13Z</creation></dates><accession>S-EPMC6416673</accession><cross_references><pubmed>30870780</pubmed><doi>10.1016/j.isci.2019.02.021</doi></cross_references></HashMap>