Automated profiling of growth cone heterogeneity defines relations between morphology and motility.

Bagonis, Maria; Fusco, Ludovico; Pertz, Olivier; Danuser, Gaudenz (2019). Automated profiling of growth cone heterogeneity defines relations between morphology and motility. Journal of cell biology, 218(1), pp. 350-379. Rockefeller Institute Press 10.1083/jcb.201711023

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Growth cones are complex, motile structures at the tip of an outgrowing neurite. They often exhibit a high density of filopodia (thin actin bundles), which complicates the unbiased quantification of their morphologies by software. Contemporary image processing methods require extensive tuning of segmentation parameters, require significant manual curation, and are often not sufficiently adaptable to capture morphology changes associated with switches in regulatory signals. To overcome these limitations, we developed Growth Cone Analyzer (GCA). GCA is designed to quantify growth cone morphodynamics from time-lapse sequences imaged both in vitro and in vivo, but is sufficiently generic that it may be applied to nonneuronal cellular structures. We demonstrate the adaptability of GCA through the analysis of growth cone morphological variation and its relation to motility in both an unperturbed system and in the context of modified Rho GTPase signaling. We find that perturbations inducing similar changes in neurite length exhibit underappreciated phenotypic nuance at the scale of the growth cone.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Cell Biology

UniBE Contributor:

Pertz, Olivier

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

0021-9525

Publisher:

Rockefeller Institute Press

Language:

English

Submitter:

Olivier Pertz

Date Deposited:

14 Feb 2019 13:47

Last Modified:

24 Oct 2019 10:54

Publisher DOI:

10.1083/jcb.201711023

PubMed ID:

30523041

BORIS DOI:

10.7892/boris.122948

URI:

https://boris.unibe.ch/id/eprint/122948

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