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
|
Text
J. Cell Biol. 2018 Bagonis.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial-Share Alike (CC-BY-NC-SA). Download (9MB) | Preview |
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: |
05 Dec 2022 15:23 |
Publisher DOI: |
10.1083/jcb.201711023 |
PubMed ID: |
30523041 |
BORIS DOI: |
10.7892/boris.122948 |
URI: |
https://boris.unibe.ch/id/eprint/122948 |