ArticleScientific reports2016
Spatial and Structural Metrics for Living Cells Inspired by Statistical Mechanics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
6 citing papers in PubMed.
- Simultaneous Exposure of Different Nanoparticles Influences Cell Uptake.Pharmaceutics · 2022Article
- Sources of variability in nanoparticle uptake by cells.Nanoscale · 2021Article
- Glass-like characteristics of intracellular motion in human cells.Biophysical journal · 2021Article
- Kinetics of nanoparticle uptake into and distribution in human cells.Nanoscale advances · 2021Review
- Impact of nanoparticle surface functionalization on the protein corona and cellular adhesion, uptake and transport.Journal of nanobiotechnology · 2018Article
- An apolipoprotein-enriched biomolecular corona switches the cellular uptake mechanism and trafficking pathway of lipid nanoparticles.Nanoscale · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental observations in cell biology have advanced to a stage where theory could play a larger role, much as it has done in the physical sciences. Possibly the lack of a common framework within which experimentalists, computational scientists and theorists could equally contribute has hindered this development, for the worse of both disciplines. Here we demonstrate the usage of tools and concepts from statistical mechanics to describe processes inside living cells based on experimental data, suggesting that future theoretical/computational models may be based on such concepts. To illustrate the ideas, we describe the organisation of subcellular structures within the cell in terms of (density) pair correlation functions, and subsequently use the same concepts to follow nano-sized objects being transported inside the cell. Finally, we quantify an interesting subcellular re-organisation, not previously discerned by molecular biology methods.
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