ArticleBiophysical journal2009
The stochastic search dynamics of interneuron migration.
Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Generation and long-term culture of human cerebellar organoids from pluripotent stem cells.Nature protocols · 2025Review
- Theoretical Models of Neural Development.iScience · 2018Review
- DNMT1 modulates interneuron morphology by regulating Pak6 expression through crosstalk with histone modifications.Epigenetics · 2018Article
- In Vitro Models to Analyze the Migration of MGE-Derived Interneurons.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Fused cerebral organoids model interactions between brain regions.Nature methods · 2017Article
- Quantitative Analysis of Axonal Branch Dynamics in the Developing Nervous System.PLoS computational biology · 2016Article
- Crosstalk between intracellular and extracellular signals regulating interneuron production, migration and integration into the cortex.Frontiers in cellular neuroscience · 2015Review
- Wandering neuronal migration in the postnatal vertebrate forebrain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Guiding neuronal cell migrations.Cold Spring Harbor perspectives in biology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Migration is a dynamic process in which a cell searches the environment and translates acquired information into somal advancement. In particular, interneuron migration during development is accomplished by two distinct processes: the extension of neurites tipped with growth cones; and nucleus translocation, termed nucleokinesis. The primary purpose of our study is to investigate neurite branching and nucleokinesis using high-resolution time-lapse confocal microscopy and computational modeling. We demonstrate that nucleokinesis is accurately modeled by a spring-dashpot system and that neurite branching is independent of the nucleokinesis event, and displays the dynamics of a stochastic birth-death process. This is in contrast to traditional biological descriptions, which suggest a closer relationship between the two migratory mechanisms. Our models are validated on independent data sets acquired using two different imaging protocols, and are shown to be robust to alterations in guidance cues and cellular migratory mechanisms, through treatment with brain-derived neurotrophic factor, neurotrophin-4, and blebbistatin. We postulate that the stochastic branch dynamics exhibited by interneurons undergoing guidance-directed migration permit efficient exploration of the environment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.