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Acute Myeloid Leukemia

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Cover of 'Acute Myeloid Leukemia'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Malfeasance Mediating Myeloid Malignancies: The Genetics of Acute Myeloid Leukemia
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    Chapter 2 Cytochemical Staining
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    Chapter 3 Immunohistochemistry in Acute Myeloid Leukemia
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    Chapter 4 Immunophenotyping by Multiparameter Flow Cytometry
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    Chapter 5 Single-Cell Mass Cytometry of Acute Myeloid Leukemia and Leukemia Stem/Progenitor Cells
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    Chapter 6 Design and Application of Multiplex PCR Seq for the Detection of Somatic Mutations Associated with Myeloid Malignancies
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    Chapter 7 AMLprofiler: A Diagnostic and Prognostic Microarray for Acute Myeloid Leukemia
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    Chapter 8 Microsphere-Based Assessment of DNA Methylation for AML Prognosis
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    Chapter 9 Genome-Wide Analysis of DNA Methylation in Hematopoietic Cells: DNA Methylation Analysis by WGBS
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    Chapter 10 Detection and Quantification of Acute Myeloid Leukemia-Associated Fusion Transcripts
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    Chapter 11 Targeted Next-Generation Sequencing of Acute Leukemia
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    Chapter 12 Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples
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    Chapter 13 A Zebrafish Model for Evaluating the Function of Human Leukemic Gene IDH1 and Its Mutation
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    Chapter 14 Measurement of Oncometabolites d-2-Hydroxyglutaric Acid and l-2-Hydroxyglutaric Acid
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    Chapter 15 Nanofluidic Allele-Specific Digital PCR Method for Quantifying IDH1 and IDH2 Mutation Burden in Acute Myeloid Leukemia
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    Chapter 16 Isolation of Biologically Active Exosomes from Plasma of Patients with Cancer
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    Chapter 17 Generating and Expanding Autologous Chimeric Antigen Receptor T Cells from Patients with Acute Myeloid Leukemia
Attention for Chapter 9: Genome-Wide Analysis of DNA Methylation in Hematopoietic Cells: DNA Methylation Analysis by WGBS
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Chapter title
Genome-Wide Analysis of DNA Methylation in Hematopoietic Cells: DNA Methylation Analysis by WGBS
Chapter number 9
Book title
Acute Myeloid Leukemia
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7142-8_9
Pubmed ID
Book ISBNs
978-1-4939-7140-4, 978-1-4939-7142-8
Authors

Jeong, Mira, Guzman, Anna G., Goodell, Margaret A., Mira Jeong, Anna G. Guzman, Margaret A. Goodell

Abstract

DNA methylation is a major epigenetic modification that regulates gene expression, genome imprinting, and development and has a role in diseases including cancer. There are various methods for whole-genome methylation profiling that differ in cost and resolution. Recent advances in high-throughput sequencing technologies coupled with bisulfite treatment enable absolute DNA methylation quantification and genome-wide single-nucleotide resolution analysis. In this chapter, we provide detailed protocols for whole-genome bisulfite sequencing (WGBS), which captures the complete methylome. Using WGBS, we are able to generate a reference DNA methylome for normal or malignant hematopoietic cells.

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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 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 %
Researcher 5 36%
Student > Master 3 21%
Student > Ph. D. Student 2 14%
Unspecified 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Unspecified 1 7%
Nursing and Health Professions 1 7%
Agricultural and Biological Sciences 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 5 36%
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 24 July 2017.
All research outputs
#20,436,330
of 22,990,068 outputs
Outputs from Methods in molecular biology
#9,932
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Outputs of similar age
#275,925
of 316,114 outputs
Outputs of similar age from Methods in molecular biology
#190
of 249 outputs
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So far Altmetric has tracked 13,150 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 249 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.