ArticleNature methods2012
Fractional proliferation: a method to deconvolve cell population dynamics from single-cell data.
Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
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Who cites it
63 citing papers in PubMed.
- Identification of optimal dosing schedules of dacomitinib and osimertinib for a phase I/II trial in advanced EGFR-mutant non-small cell lung cancer.Nature communications · 2021Trial
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- Inheritable cell-states shape drug-persister correlations and population dynamics in cancer cells.PLoS computational biology · 2025Article
- Characterising the Behaviour of a Structured PDE Model of the Cell Cycle in Contrast to a Corresponding ODE System.Bulletin of mathematical biology · 2025Article
- Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025Review
- A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin.Cancer biology & therapy · 2024Article
- On-demand expansion fluorescence and photoacoustic microscopy (ExFLPAM).Photoacoustics · 2024Article
- Induction of Multiple Alternative Mitogenic Signaling Pathways Accompanies the Emergence of Drug-Tolerant Cancer Cells.Cancers · 2024Article
- A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data.Engineering with computers · 2024Article
- p53 and p21 dynamics encode single-cell DNA damage levels, fine-tuning proliferation and shaping population heterogeneity.Communications biology · 2023Article
- Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effects.Nature communications · 2023Article
- A lineage tree-based hidden Markov model quantifies cellular heterogeneity and plasticity.Communications biology · 2022Article
- A community-based approach to image analysis of cells, tissues and tumors.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022Review
- Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.PLoS computational biology · 2021Article
- Thunor: visualization and analysis of high-throughput dose-response datasets.Nucleic acids research · 2021Article
- An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.PLoS biology · 2021Article
- Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer.Nature communications · 2021Article
- A new regression model for bimodal data and applications in agriculture.Journal of applied statistics · 2021Article
- ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy.Applied sciences (Basel, Switzerland) · 2020Article
- Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance.Journal of the Royal Society, Interface · 2020Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We present an integrated method that uses extended time-lapse automated imaging to quantify the dynamics of cell proliferation. Cell counts are fit with a quiescence-growth model that estimates rates of cell division, entry into quiescence and death. The model is constrained with rates extracted experimentally from the behavior of tracked single cells over time. We visualize the output of the analysis in fractional proliferation graphs, which deconvolve dynamic proliferative responses to perturbations into the relative contributions of dividing, quiescent (nondividing) and dead cells. The method reveals that the response of 'oncogene-addicted' human cancer cells to tyrosine kinase inhibitors is a composite of altered rates of division, death and entry into quiescence, a finding that challenges the notion that such cells simply die in response to oncogene-targeted therapy.
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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.