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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
  21. Altmetric Badge
    Chapter 20 Erratum to: An Integrative Analysis of microRNA and mRNA Profiling in CML Stem Cells
Attention for Chapter 10: DREAM: A Simple Method for DNA Methylation Profiling by High-throughput Sequencing
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

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3 Dimensions

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21 Mendeley
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Chapter title
DREAM: A Simple Method for DNA Methylation Profiling by High-throughput Sequencing
Chapter number 10
Book title
Chronic Myeloid Leukemia
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-4011-0_10
Pubmed ID
Book ISBNs
978-1-4939-4009-7, 978-1-4939-4011-0
Authors

Jaroslav Jelinek, Jozef Madzo, Jelinek, Jaroslav, Madzo, Jozef

Abstract

The digital restriction enzyme analysis of methylation (DREAM) is a simple method for DNA methylation analysis at tens of thousands of CpG sites across the genome. The method creates specific signatures at unmethylated and methylated CpG sites by sequential digests of genomic DNA with restriction endonucleases SmaI and XmaI, respectively. Both enzymes have the same CCCGGG recognition site; however, they differ in their sensitivity to CpG methylation and their cutting pattern. SmaI cuts only unmethylated sites leaving blunt 5'-GGG ends. XmaI cuts remaining methylated CC(me)CGG sites leaving 5'-CCGGG ends. Restriction fragments with distinct signatures at their ends are ligated to Illumina sequencing adaptors with sample-specific barcodes. High-throughput sequencing of pooled libraries follows. Sequencing reads are mapped to the restriction sites in the reference genome, and signatures corresponding to methylation status of individual DNA molecules are resolved. Methylation levels at target CpG sites are calculated as the proportion of sequencing reads with the methylated signature to the total number of reads mapping to the particular restriction site. Aligning the reads to the reference genome of any species is straightforward, since the method does not rely on bisulfite conversion of DNA. Sequencing of 25 million reads per human DNA library yields over 50,000 unique CpG sites with high coverage enabling accurate determination of DNA methylation levels. DREAM has a background less than 1 % making it suitable for accurate detection of low methylation levels. In summary, the method is simple, robust, highly reproducible, and cost-effective.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Researcher 4 19%
Student > Bachelor 2 10%
Student > Master 2 10%
Professor 1 5%
Other 1 5%
Unknown 5 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Agricultural and Biological Sciences 4 19%
Nursing and Health Professions 1 5%
Neuroscience 1 5%
Engineering 1 5%
Other 0 0%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 September 2017.
All research outputs
#5,804,561
of 23,003,906 outputs
Outputs from Methods in molecular biology
#1,636
of 13,158 outputs
Outputs of similar age
#92,103
of 394,613 outputs
Outputs of similar age from Methods in molecular biology
#208
of 1,471 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,158 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
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 has done well, scoring higher than 85% of its contemporaries.