Automated profiling of growth cone heterogeneity defines relations between morphology and motility.
Animals
Cell Line, Tumor
Cell Movement
Cell Shape
/ genetics
Gene Expression Regulation
Genetic Heterogeneity
Growth Cones
/ metabolism
Guanine Nucleotide Exchange Factors
/ deficiency
Image Processing, Computer-Assisted
/ statistics & numerical data
Mice
Molecular Imaging
/ methods
Neurons
/ metabolism
Neuropeptides
/ deficiency
Phosphoproteins
/ deficiency
Protein Serine-Threonine Kinases
/ deficiency
Pseudopodia
/ metabolism
Rho Guanine Nucleotide Exchange Factors
/ deficiency
Signal Transduction
Software
Time-Lapse Imaging
/ methods
cdc42 GTP-Binding Protein
/ deficiency
rac1 GTP-Binding Protein
/ deficiency
rho GTP-Binding Proteins
/ deficiency
rhoA GTP-Binding Protein
Journal
The Journal of cell biology
ISSN: 1540-8140
Titre abrégé: J Cell Biol
Pays: United States
ID NLM: 0375356
Informations de publication
Date de publication:
07 01 2019
07 01 2019
Historique:
received:
14
11
2017
revised:
26
09
2018
accepted:
08
11
2018
pubmed:
14
12
2018
medline:
23
10
2019
entrez:
8
12
2018
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 30523041
pii: jcb.201711023
doi: 10.1083/jcb.201711023
pmc: PMC6314545
doi:
Substances chimiques
Arhgef7 protein, mouse
0
Cdc42 protein, mouse
0
Guanine Nucleotide Exchange Factors
0
Neuropeptides
0
Phosphoproteins
0
Rac1 protein, mouse
0
Rho Guanine Nucleotide Exchange Factors
0
Trio protein, mouse
0
Protein Serine-Threonine Kinases
EC 2.7.11.1
RhoA protein, mouse
EC 3.6.5.2
cdc42 GTP-Binding Protein
EC 3.6.5.2
rac1 GTP-Binding Protein
EC 3.6.5.2
rho GTP-Binding Proteins
EC 3.6.5.2
rhoA GTP-Binding Protein
EC 3.6.5.2
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
350-379Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM067230
Pays : United States
Informations de copyright
© 2018 Bagonis et al.
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