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ATM Kinase

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Cover of 'ATM Kinase'

Table of Contents

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    Book Overview
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    Chapter 1 Assaying Radiosensitivity of Ataxia-Telangiectasia
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    Chapter 2 Assaying for Radioresistant DNA Synthesis, the Hallmark Feature of the Intra-S-Phase Checkpoint Using a DNA Fiber Technique
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    Chapter 3 ATM Gene Mutation Detection Techniques and Functional Analysis
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    Chapter 4 An HTRF® Assay for the Protein Kinase ATM
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    Chapter 5 ATM Kinase Inhibitors: HTS Cellular Imaging Assay Using Cellomics™ ArrayScan VTI Platform
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    Chapter 6 Image-Based High Content Screening: Automating the Quantification Process for DNA Damage-Induced Foci
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    Chapter 7 Analyzing ATM Function by Electroporation of Endonucleases and Immunofluorescence Microscopy
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    Chapter 8 Quantitative and Dynamic Imaging of ATM Kinase Activity by Bioluminescence Imaging
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    Chapter 9 Zn(II)–Phos-Tag SDS-PAGE for Separation and Detection of a DNA Damage-Related Signaling Large Phosphoprotein
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    Chapter 10 Identification of ATM Protein Kinase Phosphorylation Sites by Mass Spectrometry
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    Chapter 11 Studies of ATM Kinase Activity Using Engineered ATM Sensitive to ATP Analogues (ATM-AS)
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    Chapter 12 Functional Characterization of ATM Kinase Using Acetylation-Specific Antibodies
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    Chapter 13 Identification of ATM-Interacting Proteins by Co-immunoprecipitation and Glutathione-S-Transferase (GST) Pull-Down Assays
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    Chapter 14 ATM Activation and H2AX Phosphorylation Induced by Genotoxic Agents Assessed by Flow- and Laser Scanning Cytometry
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    Chapter 15 Peptide Immunoaffinity Enrichment with Targeted Mass Spectrometry: Application to Quantification of ATM Kinase Phospho-Signaling
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    Chapter 16 Mass Spectrometry-Based Proteomics for Quantifying DNA Damage-Induced Phosphorylation
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    Chapter 17 Statistical Analysis of ATM-Dependent Signaling in Quantitative Mass Spectrometry Phosphoproteomics
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    Chapter 18 ChIP Technique to Study Protein Dynamics at Defined DNA Double Strand Breaks
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    Chapter 19 Studies of the DNA Damage Response by Using the Lac Operator/Repressor (LacO/LacR) Tethering System
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    Chapter 20 Imaging of Fluorescently Tagged ATM Kinase at the Sites of DNA Double Strand Breaks
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    Chapter 21 Live Cell Imaging to Study Real-Time ATM-Mediated Recruitment of DNA Repair Complexes to Sites of Ionizing Radiation-Induced DNA Damage
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    Chapter 22 Analyzing Heterochromatic DNA Double Strand Break (DSB) Repair in Response to Ionizing Radiation
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    Chapter 23 Phenotypic Analysis of ATM Protein Kinase in DNA Double-Strand Break Formation and Repair
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    Chapter 24 Monitoring DNA Repair Consequences of ATM Signaling Using Simultaneous Fluorescent Readouts
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    Chapter 25 Noncanonical ATM Activation and Signaling in Response to Transcription-Blocking DNA Damage
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    Chapter 26 Study of ATM Phosphorylation by Cdk5 in Neuronal Cells
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    Chapter 27 DNA Damage Response in Human Stem Cells and Neural Descendants
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    Chapter 28 A Patient-Specific Stem Cell Model to Investigate the Neurological Phenotype Observed in Ataxia-Telangiectasia
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    Chapter 29 Lentiviral Reprogramming of A-T Patient Fibroblasts to Induced Pluripotent Stem Cells
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    Chapter 30 Monitoring the ATM-Mediated DNA Damage Response in the Cerebellum Using Organotypic Cultures
Attention for Chapter 29: Lentiviral Reprogramming of A-T Patient Fibroblasts to Induced Pluripotent Stem Cells
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Chapter title
Lentiviral Reprogramming of A-T Patient Fibroblasts to Induced Pluripotent Stem Cells
Chapter number 29
Book title
ATM Kinase
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6955-5_29
Pubmed ID
Book ISBNs
978-1-4939-6953-1, 978-1-4939-6955-5
Authors

Sam Nayler, Sergei V. Kozlov, Martin F. Lavin, Ernst Wolvetang

Editors

Sergei V. Kozlov

Abstract

Reprogramming of cells enables generation of pluripotent stem cells and resulting progeny through directed differentiation, making this technology an invaluable tool for the study of human development and disease. Reprogramming occurs with a wide range of efficiency, a culmination of intrinsic and extrinsic factors including the tissue of origin, the passage number and culture history of the target cells. Another major factor affecting reprogramming is the methodology used and the quality of the reprogramming process itself, including for conventional viral-based approaches viral titer and subsequent viral transduction efficiency, including downstream transgene insertion and stoichiometry. Genetic background is an important parameter affecting the efficiency of the reprogramming process with reports that cells from individuals harboring specific mutations are more difficult to reprogram than control counterparts.Ataxia-Telangiectasia (A-T) fibroblasts underwent reprogramming at reduced efficiency in contrast to their controls. To optimize reprogramming of fibroblasts from patients with A-T, we examined the response of A-T cells to various cell culture conditions after lentiviral transduction with reprogramming factors Oc4/Sox2 (pSIN4-EF2-O2S) and Klf4/c-Myc (pSIN4-CMV-K2M). Parameters included media type (KSR or serum-containing DMEM), treatment with a p53 inhibitor (small-molecule cyclic pifithrin-α), and either a low or high concentration of bFGF. Post-transduction, equivalent numbers of cells from heterozygote and homozygote patients were plated and assessed at regular intervals for survival and proliferation. Our findings indicate that A-T cells responded favorably to the addition of FCS and gradual weaning away from their native media into KSR-containing stem cell media that produced suitable conditions for their reprogramming. We examined a range of properties to identify and isolate good quality iPSCs including the expression status of important stem cell transcription factors/surface proteins, methylation levels at stem cell associated regulatory loci, persistence of transgenes, karyotype status, and teratoma-forming ability.

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Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Chemistry 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%