Literature DB >> 32697978

Elongation Index as a Sensitive Measure of Cell Deformation in High-Throughput Microfluidic Systems.

Scott J Hymel1, Hongzhi Lan2, Damir B Khismatullin3.   

Abstract

One of the promising approaches for high-throughput screening of cell mechanotype is microfluidic deformability cytometry (mDC), in which the apparent deformation index (DI) of the cells stretched by extensional flow at the stagnation point of a cross-slot microchannel is measured. The DI is subject to substantial measurement errors due to cell offset from the flow centerline and velocity fluctuations in inlet channels, leading to artificial widening of DI versus cell size plots. Here, we simulated an mDC experiment using a custom computational algorithm for viscoelastic cell migration. Cell motion and deformation in a cross-slot channel was modeled for fixed or randomized values of cellular mechanical properties (diameter, shear elasticity, cortical tension) and initial cell placement, with or without sinusoidal fluctuations between the inlet velocities. Our numerical simulation indicates that mDC loses sensitivity to changes in shear elasticity when the offset distance exceeds 5 μm, and just 1% velocity fluctuation causes an 11.7% drop in the DI. The obtained relationships between the cell diameter, shear elasticity, and offset distance were used to establish a new measure of cell deformation, referred to as the "elongation index" (EI). In the randomized study, the EI scatter plots were visibly separated for the low- and high-elasticity populations of cells, with a mean of 300 and 3500 Pa, whereas the standard DI output was unable to distinguish between these two groups of cells. The successful suppression of the offset artifacts with a narrower data distribution was shown for the EI output of MCF-7 cells.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2020        PMID: 32697978      PMCID: PMC7399490          DOI: 10.1016/j.bpj.2020.06.027

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


  44 in total

1.  Hydrodynamic trap for single particles and cells.

Authors:  Melikhan Tanyeri; Eric M Johnson-Chavarria; Charles M Schroeder
Journal:  Appl Phys Lett       Date:  2010-06-02       Impact factor: 3.791

2.  Biophysical characterization of bladder cancer cells with different metastatic potential.

Authors:  Haijiao Liu; Qingyuan Tan; William R Geddie; Michael A S Jewett; Nigel Phillips; Danbing Ke; Craig A Simmons; Yu Sun
Journal:  Cell Biochem Biophys       Date:  2014-03       Impact factor: 2.194

3.  Cell stretching measurement utilizing viscoelastic particle focusing.

Authors:  Sukgyun Cha; Taeho Shin; Sung Sik Lee; Wooyoung Shim; Gwang Lee; Seong Jae Lee; Younghun Kim; Ju Min Kim
Journal:  Anal Chem       Date:  2012-11-19       Impact factor: 6.986

4.  Automated micropipette aspiration of single cells.

Authors:  Ehsan Shojaei-Baghini; Yi Zheng; Yu Sun
Journal:  Ann Biomed Eng       Date:  2013-03-19       Impact factor: 3.934

5.  Cancer cell detection in tissue sections using AFM.

Authors:  Małgorzata Lekka; Dorota Gil; Katarzyna Pogoda; Joanna Dulińska-Litewka; Robert Jach; Justyna Gostek; Olesya Klymenko; Szymon Prauzner-Bechcicki; Zbigniew Stachura; Joanna Wiltowska-Zuber; Krzysztof Okoń; Piotr Laidler
Journal:  Arch Biochem Biophys       Date:  2011-12-23       Impact factor: 4.013

6.  Quantitative Deformability Cytometry: Rapid, Calibrated Measurements of Cell Mechanical Properties.

Authors:  Kendra D Nyberg; Kenneth H Hu; Sara H Kleinman; Damir B Khismatullin; Manish J Butte; Amy C Rowat
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

7.  Size-Based Differentiation of Cancer and Normal Cells by a Particle Size Analyzer Assisted by a Cell-Recognition PC Software.

Authors:  Babita Shashni; Shinya Ariyasu; Reisa Takeda; Toshihiro Suzuki; Shota Shiina; Kazunori Akimoto; Takuto Maeda; Naoyuki Aikawa; Ryo Abe; Tomohiro Osaki; Norihiko Itoh; Shin Aoki
Journal:  Biol Pharm Bull       Date:  2018-01-13       Impact factor: 2.233

Review 8.  Deformation of Red Blood Cells, Air Bubbles, and Droplets in Microfluidic Devices: Flow Visualizations and Measurements.

Authors:  David Bento; Raquel O Rodrigues; Vera Faustino; Diana Pinho; Carla S Fernandes; Ana I Pereira; Valdemar Garcia; João M Miranda; Rui Lima
Journal:  Micromachines (Basel)       Date:  2018-03-27       Impact factor: 2.891

9.  High-throughput physical phenotyping of cell differentiation.

Authors:  Jonathan Lin; Donghyuk Kim; Henry T Tse; Peter Tseng; Lillian Peng; Manjima Dhar; Saravanan Karumbayaram; Dino Di Carlo
Journal:  Microsyst Nanoeng       Date:  2017-05-08       Impact factor: 7.127

View more
  1 in total

Review 1.  Non-invasive acquisition of mechanical properties of cells via passive microfluidic mechanisms: A review.

Authors:  Zhenghua Li; Xieliu Yang; Qi Zhang; Wenguang Yang; Hemin Zhang; Lianqing Liu; Wenfeng Liang
Journal:  Biomicrofluidics       Date:  2021-06-14       Impact factor: 3.258

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.