Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions

Bailey, Patrick C.; Lee, Rachel; Vítolo, Michele; Pratt, Stephen J.; Ory, Eleanor C; Chakrabarti, Kristi R.; Lee, Cornell J; Thompson, Keyata N.; Martin, Stuart S.

doi:10.1016/j.isci.2018.08.015

Cited by 18 publications

(23 citation statements)

References 46 publications

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“…In cell culture, the initial number of cell cluster is an important factor. Bailey et al [3] study the sphere-forming efficiency of MCF-7 human breast cancer cell by comparing the cell culture with different initial numbers of the cell cluster. Here we consider the impact of the initial cluster number on the final proportion of species.…”

Section: Dependency On the Initial Total Cell Numbermentioning

confidence: 99%

A cell–cell repulsion model on a hyperbolic Keller–Segel equation

Griette

Magal

2020

J. Math. Biol.

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In this work, we discuss a cell-cell repulsion population dynamic model based on a hyperbolic Keller-Segel equation with two populations. This model can well describe the cell growth and dispersion in the cell co-culture experiment in the work of Pasquier et al. [31]. With the notion of solutions integrated along the characteristics, we prove the existence and uniqueness of the solution and the segregation property of the two species. From a numerical perspective, we can also observe that the model admits a competitive exclusion (the results are different from the corresponding ODE model). More importantly, our model shows the complexity of the short term (6 days) co-cultured cell distribution depending on the initial distribution of each species. Through numerical simulations, the impact of the initial distribution on the population ratio lies in the initial total cell number and our study shows that the population ratio is not impacted by the law of initial distribution. We also find that a fast dispersion rate gives a short-term advantage while the vital dynamic contributes to a long-term population advantage.

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Section: Dependency On the Initial Total Cell Numbermentioning

confidence: 99%

A cell–cell repulsion model on a hyperbolic Keller–Segel equation

Griette

Magal

2020

J. Math. Biol.

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“…A critical aspect of the assay presented here is the seeding cell density, which should be low enough to avoid the generation of aggregates interfering with the interpretation of the results 16,17 . The morphology of the mammospheres can be informative to resolve this ambiguity.…”

Section: Discussionmentioning

confidence: 99%

Quantification of Self-renewal in Murine Mammosphere Cultures

Vlachou

Aobuli

D'Elia

et al. 2019

JoVE

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The mammary gland is characterized by extensive regeneration capacity, as it goes through massive hormonal changes throughout the life cycle of a female. The role of mammary stem cells (MaSCs) is widely studied both in the physiological/developmental context and with regards to breast carcinogenesis. In this aspect, ex vivo studies focused on MaSC properties are highly sought after. Mammosphere cultures represent a surrogate of organ formation and have become a valuable tool for both basic and translational research. Here, we present a detailed protocol for the generation of murine primary mammosphere cultures and the quantitation of MaSC growth properties. The protocol includes mammary gland collection and digestion, isolation of primary mammary epithelial cells (MECs), establishment of primary mammosphere cultures, serial passaging, quantitation of mammosphere growth parameters and interpretation of the results. As an example, we present the effect of low-level constitutive Myc expression on normal MECs leading to increased self-renewal and proliferation.

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“…The serial passage of tumorspheres also confirmed the self-renewal capability of CSC. Recent improvement significantly reduced the problem caused by cell aggregation [ 72 ]. As studying ACD in vivo is still technically challenging, tumorspheres are a more accessible choice to assess ACD of CSCs in vitro in the presence of cell-cell interactions.…”

Section: Linking Csc Features With Cell Division Symmetry Control Mecmentioning

confidence: 99%

Cell division symmetry control and cancer stem cells

Majumdar

Liu

2020

AIMS Molecular Science

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Stem cells including cancer stem cells (CSC) divide symmetrically or asymmetrically. Usually symmetric cell division makes two daughter cells of the same fate, either as stem cells or more differentiated progenies; while asymmetric cell division (ACD) produces daughter cells of different fates. In this review, we first provide an overview of ACD, and then discuss more molecular details of ACD using the well-characterized Drosophila neuroblast system as an example. Aiming to explore the connections between cell heterogeneity in cancers and the critical need of ACD for self-renewal and generating cell diversity, we then examine how cell division symmetry control impacts common features associated with CSCs, including niche competition, cancer dormancy, drug resistance, epithelial-mesenchymal transition (EMT) and its reverse process mesenchymal-epithelial transition (MET), and cancer stem cell plasticity. As CSC may underlie resistance to therapy and cancer metastasis, understanding how cell division mode is selected and executed in these cells will provide possible strategies to target CSC.

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Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions

Cited by 18 publications

References 46 publications

A cell–cell repulsion model on a hyperbolic Keller–Segel equation

A cell–cell repulsion model on a hyperbolic Keller–Segel equation

Quantification of Self-renewal in Murine Mammosphere Cultures

Cell division symmetry control and cancer stem cells

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