Literature DB >> 457811

Preaggregative cell motion in Dictyostelium.

M J Potel, S A Mackay.   

Abstract

The motions of a large number (495) of preaggregative D. discoideum NC-4 cells in sparse fields are recorded on time-lapse film and analysed using a specially constructed computer graphics system. All films are produced under a standard set of conditions, so that the range of cell behaviours under given conditions can be characterized. The mean velocity of pre-aggregative D. discoideum NC-4 is 7.19 micrometers/min. The mean velocity time course has a significant early peak at about 3 h. The distribution of mean velocities is fairly broad with a long high velocity tail. A modified random walk model using the parameters diffusion constant and persistence time describes well the changes in cell direction with time. Persistence can be described as an exponentially distributed 'memory' of movement direction, with a mean of 4.89 min. High velocity cells never have long persistence times, and persistence time shows no relationship with age. A nearest neighbour model of cell spacing shows that cells are randomly (Poisson) distributed at low densities. Measurements of cell contacts are compared to a simple model of contact frequency based on the kinetic theory of gases to show that cells at low densities have an affinity for making collisions. The length of contact durations is indicative of some mechanical adhesion between cells, and cells in contact move significantly though not dramatically slower. A cross-correlation analysis shows that the various parameters of motion are significantly interrelated in numerous ways. Finally mutants and strains related to D. discoideum NC-4 exhibit a number of new behaviours, suggesting that motion is a distinctive characteristic of cell type.

Entities:  

Mesh:

Year:  1979        PMID: 457811     DOI: 10.1242/jcs.36.1.281

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


  22 in total

1.  Regulation of movement speed by intracellular pH during Dictyostelium discoideum chemotaxis.

Authors:  B Van Duijn; K Inouye
Journal:  Proc Natl Acad Sci U S A       Date:  1991-06-01       Impact factor: 11.205

2.  A stochastic model for chemotaxis based on the ordered extension of pseudopods.

Authors:  Peter J M Van Haastert
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

3.  Characteristics of motive force derived from trajectory analysis of Amoeba proteus.

Authors:  Noritaka Masaki; Hiromi Miyoshi; Yoshimi Tsuchiya
Journal:  Protoplasma       Date:  2007-02-19       Impact factor: 3.356

4.  Quimp3, an automated pseudopod-tracking algorithm.

Authors:  Leonard Bosgraaf; Peter J M Van Haastert
Journal:  Cell Adh Migr       Date:  2010-01-31       Impact factor: 3.405

5.  Chaotic behavior in the locomotion of Amoeba proteus.

Authors:  H Miyoshi; Y Kagawa; Y Tsuchiya
Journal:  Protoplasma       Date:  2001       Impact factor: 3.356

Review 6.  Tools for analyzing cell shape changes during chemotaxis.

Authors:  Yuan Xiong; Pablo A Iglesias
Journal:  Integr Biol (Camb)       Date:  2010-10-01       Impact factor: 2.192

7.  Nonrandom spatial distribution by mammalian cells in culture.

Authors:  P Skehan; S J Friedman
Journal:  Cell Biophys       Date:  1984-12

8.  The ordered extension of pseudopodia by amoeboid cells in the absence of external cues.

Authors:  Leonard Bosgraaf; Peter J M Van Haastert
Journal:  PLoS One       Date:  2009-04-22       Impact factor: 3.240

9.  Food searching strategy of amoeboid cells by starvation induced run length extension.

Authors:  Peter J M Van Haastert; Leonard Bosgraaf
Journal:  PLoS One       Date:  2009-08-28       Impact factor: 3.240

10.  Navigation of chemotactic cells by parallel signaling to pseudopod persistence and orientation.

Authors:  Leonard Bosgraaf; Peter J M Van Haastert
Journal:  PLoS One       Date:  2009-08-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.