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Cellular Heterogeneity

Overview of attention for book
Cellular Heterogeneity
Humana Press, New York, NY

Table of Contents

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    Book Overview
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    Chapter 1 Heterogeneity of Metazoan Cells and Beyond: To Integrative Analysis of Cellular Populations at Single-Cell Level
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    Chapter 2 Integrating Analysis of Cellular Heterogeneity in High-Content Dose-Response Studies
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    Chapter 3 Image-Based Tracking of Heterogeneous Single-Cell Phenotypes
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    Chapter 4 Broad Immune Monitoring and Profiling of T Cell Subsets with Mass Cytometry
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    Chapter 5 Spectral and Imaging Flow Cytometry in Phytoplankton Research
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    Chapter 6 X-Ray Fluorescence-Detected Flow Cytometry
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    Chapter 7 Multiparametric Analysis of Myeloid Populations by Flow Cytometry
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    Chapter 8 Quantitation of IRF3 Nuclear Translocation in Heterogeneous Cellular Populations from Cervical Tissue Using Imaging Flow Cytometry
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    Chapter 9 Methods of Study of Neuron Structural Heterogeneity: Flow Cytometry vs. Laser Interferometry
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    Chapter 10 Usage of Multiparameter Flow Cytometry to Study Microglia and Macrophage Heterogeneity in the Central Nervous System During Neuroinflammation and Neurodegeneration
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    Chapter 11 Analysis of Microtubule Dynamics Heterogeneity in Cell Culture
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    Chapter 12 Heterogeneity of Focal Adhesions and Focal Contacts in Motile Fibroblasts
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    Chapter 13 Laser Tweezers Raman Microspectroscopy of Single Cells and Biological Particles
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    Chapter 14 Quantification of the Metabolic Heterogeneity in Mycobacterial Cells Through the Measurement of the NADH/NAD+ Ratio Using a Genetically Encoded Sensor
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    Chapter 15 Characterizing Cell Heterogeneity Using PCR Fingerprinting of Surface Multigene Families in Protozoan Parasites
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    Chapter 16 Assessing Carbon Source-Dependent Phenotypic Variability in Pseudomonas putida
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    Chapter 17 The Retinal Pigment Epithelial Cell Line (ARPE-19) Displays Mosaic Structural Chromosomal Aberrations
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    Chapter 18 FACS Isolation of Viable Cells in Different Cell Cycle Stages from Asynchronous Culture for RNA Sequencing
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    Chapter 19 Measuring Nanoscale Chromatin Heterogeneity with Partial Wave Spectroscopic Microscopy
Attention for Chapter 8: Quantitation of IRF3 Nuclear Translocation in Heterogeneous Cellular Populations from Cervical Tissue Using Imaging Flow Cytometry
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Chapter title
Quantitation of IRF3 Nuclear Translocation in Heterogeneous Cellular Populations from Cervical Tissue Using Imaging Flow Cytometry
Chapter number 8
Book title
Cellular Heterogeneity
Published in
Methods in molecular biology, February 2018
DOI 10.1007/978-1-4939-7680-5_8
Pubmed ID
Book ISBNs
978-1-4939-7679-9, 978-1-4939-7680-5
Authors

Radiana T. Trifonova, Natasha S. Barteneva

Abstract

Imaging flow cytometry (IFC) has become a powerful tool for studying the activation of transcriptional factors in heterogeneous cell populations in high-content imaging mode. With considerable interest to the clinical development of IFC, the question becomes how we can accelerate its application to solid tissues. We developed the first IFC-based procedure to quantify the nuclear translocation of interferon regulatory factor (IRF) 3, an important measure of induction of type I interferon antiviral response, in primary human immune cells including in solid tissues. After tissue digestion and protocol optimization by spectral flow cytometry, cell suspension is stained for intracellular IRF3 and acquired by IFC. Image analysis is performed using an optimized nuclear mask and similarity score parameter to correlate the location of IRF3 staining and a nuclear dye. The technique measures IRF3 activation at a single cell level and can detect small changes in the percent of activated cells providing objective quantitative data for statistical analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Student > Bachelor 1 13%
Professor > Associate Professor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Immunology and Microbiology 4 50%
Biochemistry, Genetics and Molecular Biology 2 25%
Agricultural and Biological Sciences 1 13%
Unknown 1 13%