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Chronic Myeloid Leukemia

Overview of attention for book
Cover of 'Chronic Myeloid Leukemia'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Detection of BCR-ABL in Chronic Myeloid Leukemia
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    Chapter 2 Induction of Chronic Myeloid Leukemia in Mice
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    Chapter 3 CML Mouse Model Generated from Leukemia Stem Cells
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    Chapter 4 Immunological Analyses of Leukemia Stem Cells
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    Chapter 5 Cell Cycle Analysis of CML Stem Cells Using Hoechst 33342 and Propidium Iodide
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    Chapter 6 Histological and In Vivo Microscopic Analysis of the Bone Marrow Microenvironment in a Murine Model of Chronic Myelogenous Leukemia
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    Chapter 7 Chronic Myeloid Leukemia
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    Chapter 8 Tumor Suppressor Analysis in CML
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    Chapter 9 Chronic Myeloid Leukemia
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    Chapter 10 DREAM: A Simple Method for DNA Methylation Profiling by High-throughput Sequencing
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    Chapter 11 Chronic Myeloid Leukemia
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    Chapter 12 Quantitative Proteomics Analysis of Leukemia Cells
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    Chapter 13 A Convenient Cell Culture Model for CML Acquired Resistance Through BCR-ABL Mutations
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    Chapter 14 High-Throughput Screening of Tyrosine Kinase Inhibitor Resistant Genes in CML
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    Chapter 15 Biological Analysis of Human CML Stem Cells; Xenograft Model of Chronic Phase Human Chronic Myeloid Leukemia
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    Chapter 16 New Mouse Models to Investigate the Efficacy of Drug Combinations in Human Chronic Myeloid Leukemia
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    Chapter 17 Chronic Myeloid Leukemia
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    Chapter 18 Chronic Myeloid Leukemia
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    Chapter 19 Single-Cell Cytokine Profiling to Investigate Cellular Functional Diversity in Hematopoietic Malignancies
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    Chapter 20 Erratum to: An Integrative Analysis of microRNA and mRNA Profiling in CML Stem Cells
Attention for Chapter 9: Chronic Myeloid Leukemia
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Chapter title
Chronic Myeloid Leukemia
Chapter number 9
Book title
Chronic Myeloid Leukemia
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-4011-0_9
Pubmed ID
Book ISBNs
978-1-4939-4009-7, 978-1-4939-4011-0
Authors

Guo, Sujuan, Pridham, Kevin J, Sheng, Zhi, Sujuan Guo, Kevin J. Pridham, Zhi Sheng, Pridham, Kevin J.

Abstract

Autophagy is a catabolic process whereby cellular components are degraded to fuel cells for longer survival during stress. Hence, autophagy plays a vital role in determining cell fate and is central for homeostasis and pathogenesis of many human diseases including chronic myeloid leukemia (CML). It has been well established that autophagy is important for the leukemogenesis as well as drug resistance in CML. Thus, autophagy is an intriguing therapeutic target. However, current approaches that detect autophagy lack reliability and often fail to provide quantitative measurements. To overcome this hurdle and facilitate the development of autophagy-related therapies, we have recently developed an autophagy assay termed as the Cyto-ID fluorescence spectrophotometric assay. This method uses a cationic fluorescence dye, Cyto-ID, which specifically labels autophagic compartments and is detected by a spectrophotometer to permit a large-scale and quantitative analysis. As such, it allows rapid, reliable, and quantitative detection of autophagy and estimation of autophagy flux. In this chapter, we further provide technical details of this method and step-by-step protocols for measuring autophagy or autophagy flux in CML cell lines as well as primary hematopoietic cells.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
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 02 September 2016.
All research outputs
#18,468,369
of 22,884,315 outputs
Outputs from Methods in molecular biology
#7,923
of 13,131 outputs
Outputs of similar age
#284,559
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.