Evidence map›Paper›PMID 21373705›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2011

Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling.

Jonathan Tang, Heiko Enderling, Sabine Becker-Weimann, Christopher Pham, Aris Polyzos, Chen-Yi Chen, Sylvain V Costes

Open access · greenAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 46 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jonathan TangLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. jonathantang@lbl.gov
Heiko Enderling
Sabine Becker-Weimann
Christopher Pham
Aris Polyzos
Chen-Yi Chen
Sylvain V Costes
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · USSt. Elizabeth's Medical Center · US

Funding

TRANS-NETWORK PROJECTSU54CA143836 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIPHARDT, JAN T. · 2009 to 2014
$15.1M
Project 5 UC BerkleyU54CA149233 · NCI · STEWARD ST. ELIZABETH'S MEDICAL CENTER · PI HLATKY, LYNN · 2010 to 2014
$7.3M
NCI NIH HHS U54 CA143836NCI NIH HHS U54 CA149233NCI NIH HHS U54CA149233
6 · The paper itself

Abstract

We introduce an agent-based model of epithelial cell morphogenesis to explore the complex interplay between apoptosis, proliferation, and polarization. By varying the activity levels of these mechanisms we derived phenotypic transition maps of normal and aberrant morphogenesis. These maps identify homeostatic ranges and morphologic stability conditions. The agent-based model was parameterized and validated using novel high-content image analysis of mammary acini morphogenesis in vitro with focus on time-dependent cell densities, proliferation and death rates, as well as acini morphologies. Model simulations reveal apoptosis being necessary and sufficient for initiating lumen formation, but cell polarization being the pivotal mechanism for maintaining physiological epithelium morphology and acini sphericity. Furthermore, simulations highlight that acinus growth arrest in normal acini can be achieved by controlling the fraction of proliferating cells. Interestingly, our simulations reveal a synergism between polarization and apoptosis in enhancing growth arrest. After validating the model with experimental data from a normal human breast line (MCF10A), the system was challenged to predict the growth of MCF10A where AKT-1 was overexpressed, leading to reduced apoptosis. As previously reported, this led to non growth-arrested acini, with very large sizes and partially filled lumen. However, surprisingly, image analysis revealed a much lower nuclear density than observed for normal acini. The growth kinetics indicates that these acini grew faster than the cells comprising it. The in silico model could not replicate this behavior, contradicting the classic paradigm that ductal carcinoma in situ is only the result of high proliferation and low apoptosis. Our simulations suggest that overexpression of AKT-1 must also perturb cell-cell and cell-ECM communication, reminding us that extracellular context can dictate cellular behavior.

Indexed as

Models, BiologicalPhenotypeApoptosisCell CountCell Culture TechniquesCell LineCell Line, TransformedCell PolarityCell ProliferationComputer SimulationEpithelial CellsFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMammary Glands, Human

Identifiers

PMID21373705
PMCPMC4009383
OpenAlexW2129708422

What OpenQuestion holds

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Registered trials

None linked

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.