ArticleBiophysical journal2006
Compartment volume influences microtubule dynamic instability: a model study.
Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 48 citations in OpenAlex.
- Sequential and independent probabilistic events regulate differential axon targeting during development in Drosophila melanogaster.Nature neuroscience · 2025Article
- Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022Review
- Theoretical Models of Neural Development.iScience · 2018Review
- Tracking of plus-ends reveals microtubule functional diversity in different cell types.Scientific reports · 2016Article
- Identification of microtubule growth deceleration and its regulation by conserved and novel proteins.Molecular biology of the cell · 2016Article
- How Cells Measure Length on Subcellular Scales.Trends in cell biology · 2015Review
- The dynamics of growth cone morphology.BMC biology · 2015Article
- Live visualizations of single isolated tubulin protein self-assembly via tunneling current: effect of electromagnetic pumping during spontaneous growth of microtubule.Scientific reports · 2014Article
- Article
- Cell Cycle Regulation of the Centrosome and Cilium.Drug discovery today. Disease mechanisms · 2013Article
- Modeling transport of a pulse of radiolabeled organelles in a Drosophila unipolar motor neuron.Journal of biological physics · 2013Article
- Intrinsic microtubule GTP-cap dynamics in semi-confined systems: kinetochore-microtubule interface.Journal of biological physics · 2013Article
- Tubulin nucleotide status controls Sas-4-dependent pericentriolar material recruitment.Nature cell biology · 2012Article
- The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model.Molecular biology of the cell · 2012Article
- Theoretical modeling of aging effects in microtubule dynamics.Biophysical journal · 2011Article
- A theory of microtubule catastrophes and their regulation.Proceedings of the National Academy of Sciences of the United States of America · 2009Article
- The stochastic search dynamics of interneuron migration.Biophysical journal · 2009Article
- Quantifying neurite growth mediated by interactions among secretory vesicles, microtubules, and actin networks.Biophysical journal · 2009Article
- Model based dynamics analysis in live cell microtubule images.BMC cell biology · 2007Article
- Microtubule stability studied by three-dimensional molecular theory of solvation.Biophysical journal · 2007Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microtubules (MTs) are cytoskeletal polymers that exhibit dynamic instability, the random alternation between growth and shrinkage. MT dynamic instability plays an essential role in cell development, division, and motility. To investigate dynamic instability, simulation models have been widely used. However, conditions under which the concentration of free tubulin fluctuates as a result of growing or shrinking MTs have not been studied before. Such conditions can arise, for example, in small compartments, such as neuronal growth cones. Here we investigate by means of computational modeling how concentration fluctuations caused by growing and shrinking MTs affect dynamic instability. We show that these fluctuations shorten MT growth and shrinkage times and change their distributions from exponential to non-exponential, gamma-like. Gamma-like distributions of MT growth and shrinkage times, which allow optimal stochastic searching by MTs, have been observed in various cell types and are believed to require structural changes in the MT during growth or shrinkage. Our results, however, show that these distributions can already arise as a result of fluctuations in the concentration of free tubulin due to growing and shrinking MTs. Such fluctuations are possible not only in small compartments but also when tubulin diffusion is slow or when many MTs (de)polymerize synchronously. Volume and all other factors that influence these fluctuations can affect MT dynamic instability and, consequently, the processes that depend on it, such as neuronal growth cone behavior and cell motility in general.
Indexed as
Identifiers
What OpenQuestion holds
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.