Literature DB >> 3503898

A unified approach to analysing cell motility.

G A Dunn1, A F Brown.   

Abstract

The quantitative analysis of cell motility in culture has several important functions. First, it gives a concise and accurate description of the motile process and can detect subtle differences in motility due to different genetic makeup or experimental conditions. Second, its objectivity means that results can be communicated precisely and used unambiguously to test hypotheses about motility. Third, it may be used to derive a mathematical model with the same statistical properties as the motile process and thus elucidate the mechanism of motility. In this paper, we introduce a general procedure for analysing cell motility in a wide variety of circumstances. We describe a pilot project for the analysis of simple geometrical data obtained from randomly moving fibroblasts. Finally, as an example, we show how an analysis of the translocation of the fibroblasts can lead to insights into the mechanism of motility that are arguably not obtainable by any other approach.

Mesh:

Year:  1987        PMID: 3503898     DOI: 10.1242/jcs.1987.supplement_8.5

Source DB:  PubMed          Journal:  J Cell Sci Suppl        ISSN: 0269-3518


  54 in total

1.  Symmetry breaking in cultured mammalian cells.

Authors:  C Brangwynne; S Huang; K K Parker; D E Ingber; E Ostuni
Journal:  In Vitro Cell Dev Biol Anim       Date:  2000-10       Impact factor: 2.416

2.  Stochastic models for cell motion and taxis.

Authors:  Edward L Ionides; Kathy S Fang; R Rivkah Isseroff; George F Oster
Journal:  J Math Biol       Date:  2003-08-06       Impact factor: 2.259

3.  Modeling the role of myosin 1c in neuronal growth cone turning.

Authors:  Feng-Song Wang; Can-Wen Liu; Thomas J Diefenbach; Daniel G Jay
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  Nanometer analysis of cell spreading on matrix-coated surfaces reveals two distinct cell states and STEPs.

Authors:  Benjamin J Dubin-Thaler; Gregory Giannone; Hans-Günther Döbereiner; Michael P Sheetz
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

5.  Quantification of human neutrophil motility in three-dimensional collagen gels. Effect of collagen concentration.

Authors:  M R Parkhurst; W M Saltzman
Journal:  Biophys J       Date:  1992-02       Impact factor: 4.033

6.  Models for contact-mediated pattern formation: cells that form parallel arrays.

Authors:  L Edelstein-Keshet; G B Ermentrout
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

7.  Bridging the gulf between correlated random walks and Lévy walks: autocorrelation as a source of Lévy walk movement patterns.

Authors:  Andy M Reynolds
Journal:  J R Soc Interface       Date:  2010-07-14       Impact factor: 4.118

8.  Collective cell motion in endothelial monolayers.

Authors:  A Szabó; R Unnep; E Méhes; W O Twal; W S Argraves; Y Cao; A Czirók
Journal:  Phys Biol       Date:  2010-11-12       Impact factor: 2.583

9.  Comparative autoregressive moving average analysis of kinetochore microtubule dynamics in yeast.

Authors:  Khuloud Jaqaman; Jonas F Dorn; Gregory S Jelson; Jessica D Tytell; Peter K Sorger; Gaudenz Danuser
Journal:  Biophys J       Date:  2006-09-15       Impact factor: 4.033

10.  Cell population dynamics modulate the rates of tissue growth processes.

Authors:  Gang Cheng; Belgacem B Youssef; Pauline Markenscoff; Kyriacos Zygourakis
Journal:  Biophys J       Date:  2005-11-18       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.