ArticleJournal of computational neuroscience2010
Mathematical modeling and parameter estimation of axonal cargo transport.
Article in Journal of computational neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 27 citations in OpenAlex.
- Dynein Dysfunction Prevents Maintenance of High Concentrations of Slow Axonal Transport Cargos at the Axon Terminal: A Computational Study.Journal of biomechanical engineering · 2023Article
- Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022Review
- Modeling tau transport in the axon initial segment.Mathematical biosciences · 2020Article
- Simulating tubulin-associated unit transport in an axon: using bootstrapping for estimating confidence intervals of best-fit parameter values obtained from indirect experimental data.Proceedings. Mathematical, physical, and engineering sciences · 2017Article
- Efficient simulations of tubulin-driven axonal growth.Journal of computational neuroscience · 2016Article
- Bidirectional actin transport is influenced by microtubule and actin stability.Cellular and molecular life sciences : CMLS · 2015Article
- Axonal transport cargo motor count versus average transport velocity: is fast versus slow transport really single versus multiple motor transport?Journal of theoretical biology · 2015Article
- Ribosomal trafficking is reduced in Schwann cells following induction of myelination.Frontiers in cellular neuroscience · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A systems approach was developed and implemented to simulate and analyze motor-assisted axonal transport in nervous system. The methodology employs a Galerkin based linear finite element solver of a system of three coupled partial differential equations governing axonal diffusion-reaction-advection with an efficient optimization algorithm and an experimental time-space series to extract physio-chemical and biological information from experiments and to analyze the dynamics of molecular motor protein-assisted axonal transport. Our simulations were successfully applied and compared to a synthetic dataset based on measured motility parameters as well as experimental data of microtubule-associated protein MAP1A transport in mouse retinal ganglion cells (Nixon et al. 1990) and light neurofilament subunit transport within the optic nerve (Jung and Shea 1999). Parameter sensitivity analysis was performed to quantify the dependence of the dynamics of axonal transport on model parameters. Based on sensitivity analysis, we recommend a sampling strategy for future experiments that would produce the most sensitive and informative data. Our synergistic approach has excellent potential for efficiently probing our understanding of mechanisms of motor-mediated axonal transport in the nervous system.
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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.