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

Maria M. Bagonis, Ludovico Fusco, Olivier Pertz, Gaudenz Danuser

Research output: Contribution to journalArticle

Abstract

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.

LanguageEnglish (US)
Pages350-379
Number of pages30
JournalThe Journal of cell biology
Volume218
Issue number1
DOIs
StatePublished - Jan 7 2019

Fingerprint

Growth Cones
Neurites
rho GTP-Binding Proteins
Pseudopodia
Cellular Structures
Actins
Software

ASJC Scopus subject areas

  • Cell Biology

Cite this

Automated profiling of growth cone heterogeneity defines relations between morphology and motility. / Bagonis, Maria M.; Fusco, Ludovico; Pertz, Olivier; Danuser, Gaudenz.

In: The Journal of cell biology, Vol. 218, No. 1, 07.01.2019, p. 350-379.

Research output: Contribution to journalArticle

Bagonis, Maria M. ; Fusco, Ludovico ; Pertz, Olivier ; Danuser, Gaudenz. / Automated profiling of growth cone heterogeneity defines relations between morphology and motility. In: The Journal of cell biology. 2019 ; Vol. 218, No. 1. pp. 350-379.
@article{ac612406d26f4706a1b203d73dbadd10,
title = "Automated profiling of growth cone heterogeneity defines relations between morphology and motility",
abstract = "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.",
author = "Bagonis, {Maria M.} and Ludovico Fusco and Olivier Pertz and Gaudenz Danuser",
year = "2019",
month = "1",
day = "7",
doi = "10.1083/jcb.201711023",
language = "English (US)",
volume = "218",
pages = "350--379",
journal = "Journal of Cell Biology",
issn = "0021-9525",
publisher = "Rockefeller University Press",
number = "1",

}

TY - JOUR

T1 - Automated profiling of growth cone heterogeneity defines relations between morphology and motility

AU - Bagonis, Maria M.

AU - Fusco, Ludovico

AU - Pertz, Olivier

AU - Danuser, Gaudenz

PY - 2019/1/7

Y1 - 2019/1/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85059929887&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85059929887&partnerID=8YFLogxK

U2 - 10.1083/jcb.201711023

DO - 10.1083/jcb.201711023

M3 - Article

VL - 218

SP - 350

EP - 379

JO - Journal of Cell Biology

T2 - Journal of Cell Biology

JF - Journal of Cell Biology

SN - 0021-9525

IS - 1

ER -