ArticlePhysical biology2012
Generalized principles of stochasticity can be used to control dynamic heterogeneity.
Article in Physical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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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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
7 citing papers in PubMed.
- Designing a Comparative Proteomics Experiment: Retention-Time Alignment and Imputation Algorithms Affect Statistical Comparisons between Samples.Journal of proteome research · 2025Article
- Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.Frontiers in network physiology · 2023Review
- Leveraging and coping with uncertainty in the response of individual cells to therapy.Current opinion in biotechnology · 2018Review
- Role of vascular normalization in benefit from metronomic chemotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- What's Luck Got to Do with It: Single Cells, Multiple Fates, and Biological Nondeterminism.Molecular cell · 2016Review
- Evolutionary game theory for physical and biological scientists. II. Population dynamics equations can be associated with interpretations.Interface focus · 2014Review
- Metronomics: towards personalized chemotherapy?Nature reviews. Clinical oncology · 2014Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
It is increasingly appreciated that phenotypic stochasticity plays fundamental roles in biological systems at the cellular level and that a variety of mechanisms generates phenotypic interconversion over a broad range of time scales. The ensuing dynamic heterogeneity can be used to understand biological and clinical processes involving diverse phenotypes in different cell populations. The same principles can be applied, not only to populations composed of cells, but also to populations composed of molecules, tissues, and multicellular organisms. Stochastic units generating dynamic heterogeneity can be integrated across various length scales. We propose that a graphical tool we have developed, called a metronomogram, will allow us to identify factors that suitably influence the restoration of homeostatic heterogeneity so as to modulate the consequences of dynamic heterogeneity for desired outcomes.
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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.