ArticleFrontiers in microbiology2018
A Microfluidics and Agent-Based Modeling Framework for Investigating Spatial Organization in Bacterial Colonies: The Case of
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
- Consider the Anoxic Microsite: Acknowledging and Appreciating Spatiotemporal Redox Heterogeneity in Soils and Sediments.ACS earth & space chemistry · 2023Review
- A subcellular biochemical model for T6SS dynamics reveals winning competitive strategies.PNAS nexus · 2023Article
- Lipopolysaccharide transport regulates bacterial sensitivity to a cell wall-degrading intermicrobial toxin.PLoS pathogens · 2023Article
- Lipopolysaccharide integrity primes bacterial sensitivity to a cell wall-degrading intermicrobial toxin.bioRxiv : the preprint server for biology · 2023Article
- The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics.Biophysical reports · 2022Article
- Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations.ACS synthetic biology · 2022Article
- Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action.Royal Society open science · 2022Article
- Video frame prediction of microbial growth with a recurrent neural network.Frontiers in microbiology · 2022Article
- Application of Machine Learning Techniques to an Agent-Based Model ofFrontiers in microbiology · 2021Article
- Deep learning predicts microbial interactions from self-organized spatiotemporal patterns.Computational and structural biotechnology journal · 2020Article
- Article
- Three-Way Interactions in an Artificial Community of Bacterial Strains Directly Isolated From the Environment and Their Effect on the System Population Dynamics.Frontiers in microbiology · 2019Article
- Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain.Frontiers in microbiology · 2018Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The factors leading to changes in the organization of microbial assemblages at fine spatial scales are not well characterized or understood. However, they are expected to guide the succession of community development and function toward specific outcomes that could impact human health and the environment. In this study, we put forward a combined experimental and agent-based modeling framework and use it to interpret unique spatial organization patterns of H1-Type VI secretion system (T6SS) mutants of
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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.