Literature DB >> 26488647

Characterizing Cellular Biophysical Responses to Stress by Relating Density, Deformability, and Size.

Sangwon Byun1, Vivian C Hecht2, Scott R Manalis3.   

Abstract

Cellular physical properties are important indicators of specific cell states. Although changes in individual biophysical parameters, such as cell size, density, and deformability, during cellular processes have been investigated in great detail, relatively little is known about how they are related. Here, we use a suspended microchannel resonator (SMR) to measure single-cell density, volume, and passage time through a narrow constriction of populations of cells subjected to a variety of environmental stresses. Osmotic stress significantly affects density and volume, as previously shown. In contrast to density and volume, the effect of an osmotic challenge on passage time is relatively small. Deformability, as determined by comparing passage times for cells with similar volume, exhibits a strong dependence on osmolarity, indicating that passage time alone does not always provide a meaningful proxy for deformability. Finally, we find that protein synthesis inhibition, cell-cycle arrest, protein kinase inhibition, and cytoskeletal disruption result in unexpected relationships among deformability, density, and volume. Taken together, our results suggest that by measuring multiple biophysical parameters, one can detect unique characteristics that more specifically reflect cellular behaviors.
Copyright © 2015 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26488647      PMCID: PMC4624161          DOI: 10.1016/j.bpj.2015.08.038

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  58 in total

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6.  bcl-x, a bcl-2-related gene that functions as a dominant regulator of apoptotic cell death.

Authors:  L H Boise; M González-García; C E Postema; L Ding; T Lindsten; L A Turka; X Mao; G Nuñez; C B Thompson
Journal:  Cell       Date:  1993-08-27       Impact factor: 41.582

7.  Cell cycle-dependence of HL-60 cell deformability.

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8.  Nanomechanical analysis of cells from cancer patients.

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9.  An ATP-competitive mammalian target of rapamycin inhibitor reveals rapamycin-resistant functions of mTORC1.

Authors:  Carson C Thoreen; Seong A Kang; Jae Won Chang; Qingsong Liu; Jianming Zhang; Yi Gao; Laurie J Reichling; Taebo Sim; David M Sabatini; Nathanael S Gray
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  9 in total

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Authors:  Mark M Stevens; Cecile L Maire; Nigel Chou; Mark A Murakami; David S Knoff; Yuki Kikuchi; Robert J Kimmerling; Huiyun Liu; Samer Haidar; Nicholas L Calistri; Nathan Cermak; Selim Olcum; Nicolas A Cordero; Ahmed Idbaih; Patrick Y Wen; David M Weinstock; Keith L Ligon; Scott R Manalis
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3.  Differentiating Live Versus Dead Gram-Positive and Gram-Negative Bacteria With and Without Oxidative Stress Using Buoyant Mass Measurements.

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Review 4.  Cellular and biomolecular detection based on suspended microchannel resonators.

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Journal:  Biomed Eng Lett       Date:  2021-09-12

5.  A mechano-osmotic feedback couples cell volume to the rate of cell deformation.

Authors:  Larisa Venkova; Amit Singh Vishen; Sergio Lembo; Nishit Srivastava; Baptiste Duchamp; Artur Ruppel; Alice Williart; Stéphane Vassilopoulos; Alexandre Deslys; Juan Manuel Garcia Arcos; Alba Diz-Muñoz; Martial Balland; Jean-François Joanny; Damien Cuvelier; Pierre Sens; Matthieu Piel
Journal:  Elife       Date:  2022-04-13       Impact factor: 8.713

6.  Various Nucleolar Stress Inducers Result in Highly Distinct Changes in Water, Dry Mass and Elemental Content in Cancerous Cell Compartments: Investigation Using a Nano-Analytical Approach.

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7.  Hydrodynamic assisted multiparametric particle spectrometry.

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8.  Biophysical changes reduce energetic demand in growth factor-deprived lymphocytes.

Authors:  Vivian C Hecht; Lucas B Sullivan; Robert J Kimmerling; Dong-Hwee Kim; Aaron M Hosios; Max A Stockslager; Mark M Stevens; Joon Ho Kang; Denis Wirtz; Matthew G Vander Heiden; Scott R Manalis
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9.  Determining therapeutic susceptibility in multiple myeloma by single-cell mass accumulation.

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  9 in total

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