ArticleJournal of cellular physiology2015
Quantifying heterogeneity and dynamics of clonal fitness in response to perturbation.
Article in Journal of cellular physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 21 citations in OpenAlex.
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- Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.Frontiers in network physiology · 2023Review
- Real-time luminescence enables continuous drug-response analysis in adherent and suspension cell lines.Cancer biology & therapy · 2022Article
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- An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.PLoS biology · 2021Article
- A marker-independent lineage-tracing system to quantify clonal dynamics and stem cell functionality in cancer tissue.Nature protocols · 2019Article
- Leveraging Mathematical Modeling to Quantify Pharmacokinetic and Pharmacodynamic Pathways: Equivalent Dose Metric.Frontiers in physiology · 2019Article
- Variable Cell Line Pharmacokinetics Contribute to Non-Linear Treatment Response in Heterogeneous Cell Populations.Annals of biomedical engineering · 2018Article
- A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma.Biophysical journal · 2018Article
- A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer.Scientific reports · 2017Article
- Adaptive resistance of melanoma cells to RAF inhibition via reversible induction of a slowly dividing de-differentiated state.Molecular systems biology · 2017Article
- Survival of Phenotypic Information during Cellular Growth Transitions.ACS synthetic biology · 2016Article
- A high-content image-based method for quantitatively studying context-dependent cell population dynamics.Scientific reports · 2016Article
- An unbiased metric of antiproliferative drug effect in vitro.Nature methods · 2016Article
- Elucidation of molecular and functional heterogeneity through differential expression network analyses of discrete tumor subsets.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The dynamics of heterogeneous clonal lineages within a cell population, in aggregate, shape both normal and pathological biological processes. Studies of clonality typically relate the fitness of clones to their relative abundance, thus requiring long-term experiments and limiting conclusions about the heterogeneity of clonal fitness in response to perturbation. We present, for the first time, a method that enables a dynamic, global picture of clonal fitness within a mammalian cell population. This novel assay allows facile comparison of the structure of clonal fitness in a cell population across many perturbations. By utilizing high-throughput imaging, our methodology provides ample statistical power to define clonal fitness dynamically and to visualize the structure of perturbation-induced clonal fitness within a cell population. We envision that this technique will be a powerful tool to investigate heterogeneity in biological processes involving cell proliferation, including development and drug response.
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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.