ReviewAdvances in experimental medicine and biology2020
Complex Diffusion in Bacteria.
Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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
15 citing papers in PubMed.
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.The Journal of chemical physics · 2025Article
- Stress-mediated growth determinesProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.bioRxiv : the preprint server for biology · 2025Article
- Fabrication of cyborg bacterial cells as living cell-material hybrids using intracellular hydrogelation.Nature protocols · 2024Review
- Protein translation can fluidize bacterial cytoplasm.PNAS nexus · 2024Article
- Elongasome core proteins and class A PBP1a display zonal, processive movement at the midcell ofProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Longitudinal diffusion barriers imposed by myofilaments and mitochondria in murine cardiac myocytes.The Journal of general physiology · 2023Article
- Advanced imaging techniques for studying protein phase separation in living cells and at single-molecule level.Current opinion in chemical biology · 2023Review
- Genomic Mysteries of Giant Bacteria: Insights and Implications.Genome biology and evolution · 2023Article
- Simulation-based Reconstructed Diffusion unveils the effect of aging on protein diffusion in Escherichia coli.PLoS computational biology · 2023Article
- RNAP Promoter Search and Transcription Kinetics in LiveThe journal of physical chemistry. B · 2023Article
- Article
- Pore-like diffusion barriers in murine cardiac myocytes.bioRxiv : the preprint server for biology · 2023Article
- Next generation single-molecule techniques: Imaging, labeling, and manipulation in vitro and in cellulo.Molecular cell · 2022Review
- In vivo, in vitro and in silico: an open space for the development of microbe-based applications of synthetic biology.Microbial biotechnology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Diffusion within bacteria is often thought of as a "simple" random process by which molecules collide and interact with each other. New research however shows that this is far from the truth. Here we shed light on the complexity and importance of diffusion in bacteria, illustrating the similarities and differences of diffusive behaviors of molecules within different compartments of bacterial cells. We first describe common methodologies used to probe diffusion and the associated models and analyses. We then discuss distinct diffusive behaviors of molecules within different bacterial cellular compartments, highlighting the influence of metabolism, size, crowding, charge, binding, and more. We also explicitly discuss where further research and a united understanding of what dictates diffusive behaviors across the different compartments of the cell are required, pointing out new research avenues to pursue.
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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.