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Cellular Quiescence

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Cover of 'Cellular Quiescence'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Regulation of Cellular Quiescence: A Perspective from Adult Stem Cells and Its Niches
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    Chapter 2 An In Vitro Model of Cellular Quiescence in Primary Human Dermal Fibroblasts
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    Chapter 3 Flow Cytometric Detection of G0 in Live Cells by Hoechst 33342 and Pyronin Y Staining
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    Chapter 4 Using Carboxy Fluorescein Succinimidyl Ester (CFSE) to Identify Quiescent Glioblastoma Stem-Like Cells
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    Chapter 5 Isolation of Neural Stem and Progenitor Cells from the Adult Brain and Live Imaging of Their Cell Cycle with the FUCCI System
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    Chapter 6 Determination of Histone 2B–Green Fluorescent Protein (GFP) Retention in Intestinal Stem Cells
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    Chapter 7 Detecting Hematopoietic Stem Cell Proliferation Using BrdU Incorporation
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    Chapter 8 Cell Cycle Analysis by Mass Cytometry
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    Chapter 9 Preparation and Analysis of Saccharomyces cerevisiae Quiescent Cells
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    Chapter 10 Identifying Quiescent Stem Cells in Hair Follicles
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    Chapter 11 Single EDL Myofiber Isolation for Analyses of Quiescent and Activated Muscle Stem Cells
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    Chapter 12 Investigating Cellular Quiescence of T Lymphocytes and Antigen-Induced Exit from Quiescence
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    Chapter 13 Retroviral Transduction of Quiescent Murine Hematopoietic Stem Cells
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    Chapter 14 Analysis of Murine Hematopoietic Stem Cell Proliferation During Inflammation
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    Chapter 15 A Facile, In Vitro 384-Well Plate System to Model Disseminated Tumor Cells in the Bone Marrow Microenvironment
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    Chapter 16 Distinguishing States of Arrest: Genome-Wide Descriptions of Cellular Quiescence Using ChIP-Seq and RNA-Seq Analysis
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    Chapter 17 Analysis of lncRNA-Protein Interactions by RNA-Protein Pull-Down Assays and RNA Immunoprecipitation (RIP)
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    Chapter 18 Analysis of MicroRNA-Mediated Translation Activation of In Vitro Transcribed Reporters in Quiescent Cells
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    Chapter 19 Genome-Wide Identification of Transcription Factor-Binding Sites in Quiescent Adult Neural Stem Cells
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    Chapter 20 Study Quiescence Heterogeneity by Coupling Single-Cell Measurements and Computer Modeling
Attention for Chapter 15: A Facile, In Vitro 384-Well Plate System to Model Disseminated Tumor Cells in the Bone Marrow Microenvironment
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Chapter title
A Facile, In Vitro 384-Well Plate System to Model Disseminated Tumor Cells in the Bone Marrow Microenvironment
Chapter number 15
Book title
Cellular Quiescence
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7371-2_15
Pubmed ID
Book ISBNs
978-1-4939-7370-5, 978-1-4939-7371-2
Authors

Johanna M. Buschhaus, Kathryn E. Luker, Gary D. Luker

Abstract

Bone marrow disseminated tumor cells (DTCs) are dormant cancer cells that harbor themselves in a bone marrow niche for years after patient remission before potentially returning to a proliferative state, causing recurrent cancer. DTCs reside in bone marrow environments with physiologically important mesenchymal stem cells that are often negatively affected by chemotherapy treatments. Currently, there are very few models of DTCs that recapitulate their dormant phenotype while producing enough samples to accurately quantify cancer and surrounding stromal cell behaviors. We present a three-dimensional spheroid-based model system that uses dual-color bioluminescence imaging to quantify differential cell viability in response to various compounds. We successfully screened for compounds that selectively eliminated cancer cells versus supportive stromal cells and verified results with comparison to efficacy in vivo. The spheroid coculture system successfully modeled key aspects of DTCs in the bone marrow microenvironment, facilitating testing for compounds to selectively eliminate DTCs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Researcher 2 14%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Engineering 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 7 50%