Literature DB >> 25447308

Quantitative imaging of focal adhesion dynamics and their regulation by HGF and Rap1 signaling.

Emma Spanjaard1, Ihor Smal2, Nicos Angelopoulos3, Ingrid Verlaan1, Alexandre Matov1, Erik Meijering2, Lodewyk Wessels3, Hans Bos1, Johan de Rooij4.   

Abstract

Cell migration is crucial in development, tissue repair and immunity and frequently aberrant in pathological processes including tumor metastasis. Focal adhesions (FAs) are integrin-based adhesion complexes that form the link between the cytoskeleton and the extracellular matrix and are thought to orchestrate cell migration. Understanding the regulation of FAs by (oncogenic) signaling pathways may identify strategies to target pathological cell migration. Here we describe the development of a robust FA tracker that enables the automatic, multi-parametric analysis of FA dynamics, morphology and composition from time-lapse image series generated by total internal reflection fluorescence (TIRF) microscopy. In control prostate carcinoma cells, this software recapitulates previous findings that relate morphological characteristics of FAs to their lifetime and their cellular location. We then investigated how FAs are altered when cell migration is induced by the metastasis-promoting hormone HGF and subsequently inhibited by activation of the small GTPase Rap1. We performed a detailed analysis of individual FA parameters, which identified FA size, sliding and intensity as primary targets of Rap1. HGF did not have strong effects on any of the FA parameters within the first hours of its addition. Subsequent Bayesian network inference (BNI), using all measured parameters as input, revealed little correlation between changes in cell migration and FA characteristics in this prostate carcinoma cell line. Instead BNI indicated a concerted coordination of cell size and FA parameters. Thus our results did not reveal a direct relation between the regulation of cell migration and the regulation of FA dynamics.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bayesian network inference; Cell migration; Computer Vision; Focal adhesion; HGF; Rap1

Mesh:

Substances:

Year:  2014        PMID: 25447308     DOI: 10.1016/j.yexcr.2014.10.012

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


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