ArticleBiophysical journal2014
Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multiscale dynamics of glycine receptors in the neuronal membrane.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed, 105 citations in OpenAlex.
- Mapping Nanoscale Forces and Potentials in Live Cells with Microsecond 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- Competition between glycine and GABAProceedings of the National Academy of Sciences of the United States of America · 2025Article
- DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes.Biophysical reports · 2025Article
- Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms.Biophysical journal · 2024Article
- Learning Continuous 2D Diffusion Maps from Particle Trajectories without Data Binning.bioRxiv : the preprint server for biology · 2024Article
- Article
- Recent Advances in Single-Molecule Tracking and Imaging Techniques.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023Review
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- High-throughput super-resolution single-particle trajectory analysis reconstructs organelle dynamics and membrane reorganization.Cell reports methods · 2022Article
- Single Molecules Are Your Quanta: A Bottom-Up Approach toward Multidimensional Super-resolution Microscopy.ACS nano · 2021Review
- Advanced imaging and labelling methods to decipher brain cell organization and function.Nature reviews. Neuroscience · 2021Review
- Towards Human in the Loop Analysis of Complex Point Clouds: Advanced Visualizations, Quantifications, and Communication Features in Virtual Reality.Frontiers in bioinformatics · 2021Review
- Single-molecule localization microscopy.Nature reviews. Methods primers · 2021Article
- Probing Nanoscale Diffusional Heterogeneities in Cellular Membranes through Multidimensional Single-Molecule and Super-Resolution Microscopy.Journal of the American Chemical Society · 2020Article
- The Decade of Super-Resolution Microscopy of the Presynapse.Frontiers in synaptic neuroscience · 2020Review
- Inhibitory Receptor Diffusion Dynamics.Frontiers in molecular neuroscience · 2019Article
- Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models.Physical review. E · 2019Article
- Single molecule localisation microscopy reveals how HIV-1 Gag proteins sense membrane virus assembly sites in living host CD4 T cells.Scientific reports · 2018Article
- Errors in Energy Landscapes Measured with Particle Tracking.Biophysical journal · 2018Article
- Self-crowding of AMPA receptors in the excitatory postsynaptic density can effectuate anomalous receptor sub-diffusion.PLoS computational biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein mobility is conventionally analyzed in terms of an effective diffusion. Yet, this description often fails to properly distinguish and evaluate the physical parameters (such as the membrane friction) and the biochemical interactions governing the motion. Here, we present a method combining high-density single-molecule imaging and statistical inference to separately map the diffusion and energy landscapes of membrane proteins across the cell surface at ~100 nm resolution (with acquisition of a few minutes). Upon applying these analytical tools to glycine neurotransmitter receptors at inhibitory synapses, we find that gephyrin scaffolds act as shallow energy traps (~3 kBT) for glycine neurotransmitter receptors, with a depth modulated by the biochemical properties of the receptor-gephyrin interaction loop. In turn, the inferred maps can be used to simulate the dynamics of proteins in the membrane, from the level of individual receptors to that of the population, and thereby, to model the stochastic fluctuations of physiological parameters (such as the number of receptors at synapses). Overall, our approach provides a powerful and comprehensive framework with which to analyze biochemical interactions in living cells and to decipher the multiscale dynamics of biomolecules in complex cellular environments.
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.