Evidence map›Paper›PMID 27475843›Full record

ArticleJournal of theoretical biology2016

A hybrid agent-based model of the developing mammary terminal end bud.

Joseph D Butner, Yao-Li Chuang, Eman Simbawa, A S Al-Fhaid, S R Mahmoud, Vittorio Cristini, Zhihui Wang

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A Multiscale Agent-Based Model of Ductal Carcinoma In Situ.IEEE transactions on bio-medical engineering · 2020
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Joseph D ButnerDepartment of Chemical and Biological Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, NM 87131, United States.
Yao-Li ChuangDepartment of Mathematics, California State University, Northridge, CA 91330, United States.
Eman SimbawaDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
A S Al-FhaidDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
S R MahmoudDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Vittorio CristiniDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of NanoMedicine and Biomedical Engineering, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77054, United States; Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, United States; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77230, United States.
Zhihui WangDepartment of NanoMedicine and Biomedical Engineering, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77054, United States; Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, United States; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77230, United States. Electronic address: Zhihui.Wang@uth.tmc.edu.

Funding

Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
Imaging and Molecular Correlates of Progression in Cystic Neoplasms of the PancreasU01CA196403 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MAITRA, ANIRBAN · 2015 to 2020
$5.8M
NCI NIH HHS U01 CA196403NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

Mammary gland ductal elongation is spearheaded by terminal end buds (TEBs), where populations of highly proliferative cells are maintained throughout post-pubertal organogenesis in virgin mice until the mammary fat pad is filled by a mature ductal tree. We have developed a hybrid multiscale agent-based model to study how cellular differentiation pathways, cellular proliferation capacity, and endocrine and paracrine signaling play a role during development of the mammary gland. A simplified cellular phenotypic hierarchy that includes stem, progenitor, and fully differentiated cells within the TEB was implemented. Model analysis finds that mammary gland development was highly sensitive to proliferation events within the TEB, with progenitors likely undergoing 2-3 proliferation cycles before transitioning to a non-proliferative phenotype, and this result is in agreement with our previous experimental work. Endocrine and paracrine signaling were found to provide reliable ductal elongation rate regulation, while variations in the probability a new daughter cell will be of a proliferative phenotype were seen to have minimal effects on ductal elongation rates. Moreover, the distribution of cellular phenotypes within the TEB was highly heterogeneous, demonstrating significant allowable plasticity in possible phenotypic distributions while maintaining biologically relevant growth behavior. Finally, simulation results indicate ductal elongation rates due to cellular proliferation within the TEB may have a greater sensitivity to upstream endocrine signaling than endothelial to stromal paracrine signaling within the TEB. This model provides a useful tool to gain quantitative insights into cellular population dynamics and the effects of endocrine and paracrine signaling within the pubertal terminal end bud.

Indexed as

Systems AnalysisAmphiregulinAnimalsAsymmetric Cell DivisionCell CycleCell DifferentiationCell ProliferationEstrogensFemaleMammary Glands, AnimalMicePhenotypeSignal TransductionStem CellsAmphiregulinEstrogensAgent-based modelingCell lineageDuctal elongation rateHybrid modelingMammary gland

Identifiers

PMID27475843
PMCPMC5010453

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Registered trials

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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.