Literature DB >> 23242175

A quantitative evaluation of cell migration by the phagokinetic track motility assay.

Maciej T Nogalski1, Gary C T Chan, Emily V Stevenson, Donna K Collins-McMillen, Andrew D Yurochko.   

Abstract

Cellular motility is an important biological process for both unicellular and multicellular organisms. It is essential for movement of unicellular organisms towards a source of nutrients or away from unsuitable conditions, as well as in multicellular organisms for tissue development, immune surveillance and wound healing, just to mention a few roles(1,2,3). Deregulation of this process can lead to serious neurological, cardiovascular and immunological diseases, as well as exacerbated tumor formation and spread(4,5). Molecularly, actin polymerization and receptor recycling have been shown to play important roles in creating cellular extensions (lamellipodia), that drive the forward movement of the cell(6,7,8). However, many biological questions about cell migration remain unanswered. The central role for cellular motility in human health and disease underlines the importance of understanding the specific mechanisms involved in this process and makes accurate methods for evaluating cell motility particularly important. Microscopes are usually used to visualize the movement of cells. However, cells move rather slowly, making the quantitative measurement of cell migration a resource-consuming process requiring expensive cameras and software to create quantitative time-lapsed movies of motile cells. Therefore, the ability to perform a quantitative measurement of cell migration that is cost-effective, non-laborious, and that utilizes common laboratory equipment is a great need for many researchers. The phagokinetic track motility assay utilizes the ability of a moving cell to clear gold particles from its path to create a measurable track on a colloidal gold-coated glass coverslip(9,10). With the use of freely available software, multiple tracks can be evaluated for each treatment to accomplish statistical requirements. The assay can be utilized to assess motility of many cell types, such as cancer cells(11,12), fibroblasts(9), neutrophils(13), skeletal muscle cells(14), keratinocytes(15), trophoblasts(16), endothelial cells(17), and monocytes(10,18-22). The protocol involves the creation of slides coated with gold nanoparticles (Au°) that are generated by a reduction of chloroauric acid (Au(3+)) by sodium citrate. This method was developed by Turkevich et al. in 1951(23) and then improved in the 1970s by Frens et al.(24,25). As a result of this chemical reduction step, gold particles (10-20 nm in diameter) precipitate from the reaction mixture and can be applied to glass coverslips, which are then ready for use in cellular migration analyses(9,26,27). In general, the phagokinetic track motility assay is a quick, quantitative and easy measure of cellular motility. In addition, it can be utilized as a simple high-throughput assay, for use with cell types that are not amenable to time-lapsed imaging, as well as other uses depending on the needs of the researcher. Together, the ability to quantitatively measure cellular motility of multiple cell types without the need for expensive microscopes and software, along with the use of common laboratory equipment and chemicals, make the phagokinetic track motility assay a solid choice for scientists with an interest in understanding cellular motility.

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Year:  2012        PMID: 23242175      PMCID: PMC3567159          DOI: 10.3791/4165

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  32 in total

1.  Improved method for the production of gold colloid monolayers for use in the phagokinetic track assay for cell motility.

Authors:  W N Scott; K McCool; J Nelson
Journal:  Anal Biochem       Date:  2000-12-15       Impact factor: 3.365

Review 2.  Stop and go traffic to tune T cell responses.

Authors:  Michael L Dustin
Journal:  Immunity       Date:  2004-09       Impact factor: 31.745

3.  In vitro invasion assay using matrigel®.

Authors:  D M; S A Brooks
Journal:  Methods Mol Med       Date:  2001

4.  The phagokinetic tracks of 3T3 cells.

Authors:  G Albrecht-Buehler
Journal:  Cell       Date:  1977-06       Impact factor: 41.582

5.  HOXD3-overexpression increases integrin alpha v beta 3 expression and deprives E-cadherin while it enhances cell motility in A549 cells.

Authors:  Hironori Ohta; Jun-ichi Hamada; Mitsuhiro Tada; Tetsuya Aoyama; Keiji Furuuchi; Yoko Takahashi; Yasunori Totsuka; Tetsuya Moriuchi
Journal:  Clin Exp Metastasis       Date:  2006-12-23       Impact factor: 5.150

6.  Human cytomegalovirus-regulated paxillin in monocytes links cellular pathogenic motility to the process of viral entry.

Authors:  Maciej T Nogalski; Gary Chan; Emily V Stevenson; Scarlet Gray; Andrew D Yurochko
Journal:  J Virol       Date:  2010-11-17       Impact factor: 5.103

7.  N-WASP and WAVE2 acting downstream of phosphatidylinositol 3-kinase are required for myogenic cell migration induced by hepatocyte growth factor.

Authors:  Kazuhiro Kawamura; Kazunori Takano; Shiro Suetsugu; Shusaku Kurisu; Daisuke Yamazaki; Hiroaki Miki; Tadaomi Takenawa; Takeshi Endo
Journal:  J Biol Chem       Date:  2004-10-20       Impact factor: 5.157

8.  Activation of EGFR on monocytes is required for human cytomegalovirus entry and mediates cellular motility.

Authors:  Gary Chan; Maciej T Nogalski; Andrew D Yurochko
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-11       Impact factor: 11.205

9.  Size-dependent cytotoxicity of gold nanoparticles.

Authors:  Yu Pan; Sabine Neuss; Annika Leifert; Monika Fischler; Fei Wen; Ulrich Simon; Günter Schmid; Wolfgang Brandau; Willi Jahnen-Dechent
Journal:  Small       Date:  2007-11       Impact factor: 13.281

10.  A cell behavior screen: identification, sorting, and enrichment of cells based on motility.

Authors:  Sarah L Windler-Hart; Kwan Y Chen; Anjen Chenn
Journal:  BMC Cell Biol       Date:  2005-03-22       Impact factor: 4.241

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  8 in total

1.  Soft agar-based selection of spontaneously transformed rat prostate epithelial cells with highly tumorigenic characteristics.

Authors:  Martina Šrajer Gajdošik; Douglas C Hixson; Kate E Brilliant; DongQin Yang; Monique E De Paepe; Djuro Josić; David R Mills
Journal:  Exp Mol Pathol       Date:  2018-05-29       Impact factor: 3.362

2.  CPEB1 promotes differentiation and suppresses EMT in mammary epithelial cells.

Authors:  Ewa Grudzien-Nogalska; Brent C Reed; Robert E Rhoads
Journal:  J Cell Sci       Date:  2014-03-14       Impact factor: 5.285

3.  Human Cytomegalovirus Utilizes a Nontraditional Signal Transducer and Activator of Transcription 1 Activation Cascade via Signaling through Epidermal Growth Factor Receptor and Integrins To Efficiently Promote the Motility, Differentiation, and Polarization of Infected Monocytes.

Authors:  Donna Collins-McMillen; Emily V Stevenson; Jung Heon Kim; Byeong-Jae Lee; Stephen J Cieply; Maciej T Nogalski; Gary C Chan; Robert W Frost; Caroline R Spohn; Andrew D Yurochko
Journal:  J Virol       Date:  2017-11-30       Impact factor: 5.103

Review 4.  Human Cytomegalovirus Host Interactions: EGFR and Host Cell Signaling Is a Point of Convergence Between Viral Infection and Functional Changes in Infected Cells.

Authors:  Byeong-Jae Lee; Chan-Ki Min; Meaghan Hancock; Daniel N Streblow; Patrizia Caposio; Felicia D Goodrum; Andrew D Yurochko
Journal:  Front Microbiol       Date:  2021-05-07       Impact factor: 5.640

5.  Mcl-1 promotes lung cancer cell migration by directly interacting with VDAC to increase mitochondrial Ca2+ uptake and reactive oxygen species generation.

Authors:  H Huang; K Shah; N A Bradbury; C Li; C White
Journal:  Cell Death Dis       Date:  2014-10-23       Impact factor: 8.469

6.  Suppression of MAGE-A10 alters the metastatic phenotype of tongue squamous cell carcinoma cells.

Authors:  Bruna Dos Santos Mendonça; Michelle Agostini; Iara Gonçalves Aquino; Wagner Barbosa Dias; Débora Campanella Bastos; Franklin D Rumjanek
Journal:  Biochem Biophys Rep       Date:  2017-04-19

7.  Automated single-cell motility analysis on a chip using lensfree microscopy.

Authors:  Ivan Pushkarsky; Yunbo Liu; Yunbo Lyb; Westbrook Weaver; Ting-Wei Su; Onur Mudanyali; Aydogan Ozcan; Dino Di Carlo
Journal:  Sci Rep       Date:  2014-04-17       Impact factor: 4.379

8.  Overexpression of the VRK1 kinase, which is associated with breast cancer, induces a mesenchymal to epithelial transition in mammary epithelial cells.

Authors:  Aye M Mon; A Craig MacKinnon; Paula Traktman
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

  8 in total

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