ArticleBiophysical journal2017
Cytoplasmic RNA-Protein Particles Exhibit Non-Gaussian Subdiffusive Behavior.
Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 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
60 citing papers in PubMed.
- Diffusional aging at water/oil interfaces laden with charged nanoparticles studied by single-molecule tracking.Nature communications · 2026Article
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.The Journal of chemical physics · 2025Article
- Macroecological Laws Can Naturally Arise from Chaotic Internal Species Dynamics.bioRxiv : the preprint server for biology · 2025Article
- Quantitative evaluation of methods to analyze motion changes in single-particle experiments.Nature communications · 2025Article
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.bioRxiv : the preprint server for biology · 2025Article
- Physics-informed deep learning for stochastic particle dynamics estimation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in liveProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in livebioRxiv : the preprint server for biology · 2024Article
- Molecular Crowding: The History and Development of a Scientific Paradigm.Chemical reviews · 2024Review
- A Novel Fractional Brownian Dynamics Method for Simulating the Dynamics of Confined Bottle-Brush Polymers in Viscoelastic Solution.Polymers · 2024Article
- Nanoparticle transport in biomimetic polymer-linked emulsions.AIChE journal. American Institute of Chemical Engineers · 2024Article
- Amphibian Segmentation Clock Models Suggest How Large Genome and Cell Sizes Slow Developmental Rate.Integrative organismal biology (Oxford, England) · 2024Article
- Particle-environment interactions in arbitrary dimensions: A unifying analytic framework to model diffusion with inert spatial heterogeneities.Physical review research · 2023Article
- Inferring pointwise diffusion properties of single trajectories with deep learning.Biophysical journal · 2023Article
- Compartmentalization of androgen receptors at endogenous genes in living cells.Nucleic acids research · 2023Article
- How it feels in a cell.Trends in cell biology · 2023Review
- Simulation Study on the Mechanism of Intermediate Subdiffusion of Diffusive Particles in Crowded Systems.ACS omega · 2023Article
- The Role of Polymer Chain Stiffness and Guest Nanoparticle Loading in Improving the Glass Transition Temperature of Polymer Nanocomposites.Nanomaterials (Basel, Switzerland) · 2023Article
- Chloroplasts in plant cells show active glassy behavior under low-light conditions.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Dependence of diffusion ineLife · 2022Article
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cellular cytoplasm is a complex, heterogeneous environment (both spatially and temporally) that exhibits viscoelastic behavior. To further develop our quantitative insight into cellular transport, we analyze data sets of mRNA molecules fluorescently labeled with MS2-GFP tracked in real time in live Escherichia coli and Saccharomyces cerevisiae cells. As shown previously, these RNA-protein particles exhibit subdiffusive behavior that is viscoelastic in its origin. Examining the ensemble of particle displacements reveals a Laplace distribution at all observed timescales rather than the Gaussian distribution predicted by the central limit theorem. This ensemble non-Gaussian behavior is caused by a combination of an exponential distribution in the time-averaged diffusivities and non-Gaussian behavior of individual trajectories. We show that the non-Gaussian behavior is a consequence of significant heterogeneity between trajectories and dynamic heterogeneity along single trajectories. Informed by theory and simulation, our work provides an in-depth analysis of the complex diffusive behavior of RNA-protein particles in live cells.
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.