Literature DB >> 27475838

Comparison between fibroblast wound healing and cell random migration assays in vitro.

Flora Ascione1, Angela Vasaturo1, Sergio Caserta2, Vittoria D'Esposito3, Pietro Formisano4, Stefano Guido5.   

Abstract

Cell migration plays a key role in many biological processes, including cancer growth and invasion, embryogenesis, angiogenesis, inflammatory response, and tissue repair. In this work, we compare two well-established experimental approaches for the investigation of cell motility in vitro: the cell random migration (CRM) and the wound healing (WH) assay. In the former, extensive tracking of individual live cells trajectories by time-lapse microscopy and elaborate data processing are used to calculate two intrinsic motility parameters of the cell population under investigation, i.e. the diffusion coefficient and the persistence time. In the WH assay, a scratch is made in a confluent cell monolayer and the closure time of the exposed area is taken as an easy-to-measure, empirical estimate of cell migration. To compare WH and CRM we applied the two assays to investigate the motility of skin fibroblasts isolated from wild type and transgenic mice (TgPED) overexpressing the protein PED/PEA-15, which is highly expressed in patients with type 2 diabetes. Our main result is that the cell motility parameters derived from CRM can be also estimated from a time-resolved analysis of the WH assay, thus showing that the latter is also amenable to a quantitative analysis for the characterization of cell migration. To our knowledge this is the first quantitative comparison of these two widely used techniques.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cell motility; Cell tracking; Image analysis; Live-cell time-lapse microscopy; Transport phenomena; Wound healing

Mesh:

Year:  2016        PMID: 27475838     DOI: 10.1016/j.yexcr.2016.07.015

Source DB:  PubMed          Journal:  Exp Cell Res        ISSN: 0014-4827            Impact factor:   3.905


  11 in total

1.  Extended live-tracking and quantitative characterization of wound healing and cell migration with SiR-Hoechst.

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Authors:  Sean T Vittadello; Scott W McCue; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson
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Journal:  Oncotarget       Date:  2018-01-19

4.  Proteoglycan-4 regulates fibroblast to myofibroblast transition and expression of fibrotic genes in the synovium.

Authors:  Marwa Qadri; Gregory D Jay; Ling X Zhang; Holly Richendrfer; Tannin A Schmidt; Khaled A Elsaid
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Review 5.  An accurate and cost-effective alternative method for measuring cell migration with the circular wound closure assay.

Authors:  Michael L De Ieso; Jinxin Victor Pei
Journal:  Biosci Rep       Date:  2018-10-31       Impact factor: 3.840

6.  Lung Surfactant Accelerates Skin Wound Healing: A Translational Study with a Randomized Clinical Phase I Study.

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Journal:  Sci Rep       Date:  2020-02-13       Impact factor: 4.379

7.  PEA15 loss of function and defective cerebral development in the domestic cat.

Authors:  Emily C Graff; J Nicholas Cochran; Christopher B Kaelin; Kenneth Day; Heather L Gray-Edwards; Rie Watanabe; Jey W Koehler; Rebecca A Falgoust; Jeremy W Prokop; Richard M Myers; Nancy R Cox; Gregory S Barsh; Douglas R Martin
Journal:  PLoS Genet       Date:  2020-12-08       Impact factor: 5.917

8.  Study of Wound Healing Dynamics by Single Pseudo-Particle Tracking in Phase Contrast Images Acquired in Time-Lapse.

Authors:  Riccardo Scheda; Silvia Vitali; Enrico Giampieri; Gianni Pagnini; Isabella Zironi
Journal:  Entropy (Basel)       Date:  2021-02-26       Impact factor: 2.524

9.  Effects of a checkpoint kinase inhibitor, AZD7762, on tumor suppression and bone remodeling.

Authors:  Luqi Wang; Yue Wang; Andy Chen; Aydin Jalali; Shengzhi Liu; Yunxia Guo; Sungsoo Na; Harikrishna Nakshatri; Bai-Yan Li; Hiroki Yokota
Journal:  Int J Oncol       Date:  2018-07-13       Impact factor: 5.650

10.  Annurca apple polyphenol extract promotes mesenchymal-to-epithelial transition and inhibits migration in triple-negative breast cancer cells through ROS/JNK signaling.

Authors:  Daniela Cristina Vuoso; Stefania D'Angelo; Rosalia Ferraro; Sergio Caserta; Stefano Guido; Marcella Cammarota; Marina Porcelli; Giovanna Cacciapuoti
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

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