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Cellular Quiescence

Overview of attention for book
Cover of 'Cellular Quiescence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 19: Genome-Wide Identification of Transcription Factor-Binding Sites in Quiescent Adult Neural Stem Cells
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Chapter title
Genome-Wide Identification of Transcription Factor-Binding Sites in Quiescent Adult Neural Stem Cells
Chapter number 19
Book title
Cellular Quiescence
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7371-2_19
Pubmed ID
29030827
Book ISBNs
978-1-4939-7370-5, 978-1-4939-7371-2
Authors

Shradha Mukherjee, Jenny Hsieh

Abstract

Transcription factors bind to specific DNA sequences and control the transcription rate of nearby genes in the genome. This activation or repression of gene expression is further potentiated by epigenetic modifications of histones with active and silent marks, respectively. Resident adult stem cells in the hematopoietic system, skin, and brain exist in a non-proliferative quiescent resting state. When quiescent stem cells become activated and transition to dividing progenitors and distinct cell types, they can replenish and repair tissue. Thus, determination of the position of transcription factor binding and histone epigenetic modification on the chromatin is an essential step toward understanding the gene regulation of quiescent and proliferative adult stem cells for potential applications in regenerative medicine. Genome-wide transcription factor occupancy and histone modifications on the genome can be obtained by assessing DNA-protein interaction through next-generation chromatin immunoprecipitation sequencing technology (ChIP-seq). This chapter outlines the protocol to perform, analyze, and validate ChIP-seq experiments that can be used to identify protein-DNA interactions and histone marks on the chromatin. The methods described here are applicable to quiescent and proliferative neural stem cells, and a wide range of other cellular systems.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Medicine and Dentistry 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2017.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from Methods in molecular biology
#9,941
of 13,160 outputs
Outputs of similar age
#378,088
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
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So far Altmetric has tracked 13,160 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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