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Array Comparative Genomic Hybridization

Overview of attention for book
Cover of 'Array Comparative Genomic Hybridization'

Table of Contents

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    Book Overview
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    Chapter 1 Array Comparative Genomic Hybridization: An Overview of Protocols, Applications, and Technology Trends
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    Chapter 2 Ultradense Array CGH and Discovery of Micro-Copy Number Alterations and Gene Fusions in the Cancer Genome
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    Chapter 3 Epigenomics: Sequencing the Methylome
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    Chapter 4 Application of Array Comparative Genomic Hybridization in Chronic Myeloid Leukemia
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    Chapter 5 The Use of Cytogenetic Microarrays in Myelodysplastic Syndrome Characterization
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    Chapter 6 CGH Protocols: Chronic Lymphocytic Leukemia
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    Chapter 7 Analysis of Acquired Genomic Copy Number Aberrations and Regions of Loss of Heterozygosity in Acute Myelogenous Leukemia Genomes Using Affymetrix SNP 6.0 Arrays and Supporting Software Tools
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    Chapter 8 Clinical Applications of BAC Array-CGH to the Study of Diffuse Large B-Cell Lymphomas
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    Chapter 9 Genomic Profiling of Mantle Cell Lymphoma
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    Chapter 10 Copy Number Analysis in EBV-Positive Nodal Peripheral T Cell Lymphoma, Unspecified
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    Chapter 11 Mycosis Fungoides and Sézary Syndrome
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    Chapter 12 Array CGH Reveals Clonal Evolution of Adult T-Cell Leukemia/Lymphoma.
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    Chapter 13 Array-CGH Analysis of Cutaneous Anaplastic Large Cell Lymphoma
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    Chapter 14 Genome-Wide DNA Profiling of HIV-Related B-Cell Lymphomas.
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    Chapter 15 Array Comparative Genomic Hybridization in Osteosarcoma
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    Chapter 16 Comparative Genomic Hybridization of Wilms’ tumor
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    Chapter 17 Array-CGH in Childhood MDS
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    Chapter 18 Nonfamilial Breast Cancer Subtypes
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    Chapter 19 Applications of Array-CGH for Lung Cancer
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    Chapter 20 Array CGH in Brain Tumors
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    Chapter 21 Finding common regions of alteration in copy number data.
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    Chapter 22 Distinguishing Somatic and Germline Copy Number Events in Cancer Patient DNA Hybridized to Whole-Genome SNP Genotyping Arrays
Attention for Chapter 12: Array CGH Reveals Clonal Evolution of Adult T-Cell Leukemia/Lymphoma.
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Chapter title
Array CGH Reveals Clonal Evolution of Adult T-Cell Leukemia/Lymphoma.
Chapter number 12
Book title
Array Comparative Genomic Hybridization
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-281-0_12
Pubmed ID
23412791
Book ISBNs
978-1-62703-280-3, 978-1-62703-281-0
Authors

Akira Umino, Masao Seto, Umino, Akira, Seto, Masao

Abstract

Adult T-cell leukemia/lymphoma (ATLL) is the neoplasm caused by human T-cell leukemia virus type 1 (HTLV-1). We performed oligoarray comparative genomic hybridization (CGH) against paired samples comprising peripheral blood (PB) and lymph node (LN) samples from patients with acute-type ATLL. Results disproved the established theory that true monoclonal proliferation, such as identical clonal expansion in all respects, occurred in acute-type ATLL, and our findings revealed that acute-type ATLL contains multiple subclones with differing genomic aberrations. Oligoarray CGH technology has been developed not only for high-resolution application but also for use in various analyses. Our original analysis is a method of identifying two or more clones with different chromosomal aberrations in one sample. Herein, we describe the analysis and clonal evolution of acute-type ATLL.

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X Demographics

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 57%
Student > Master 2 29%
Student > Bachelor 1 14%
Readers by discipline Count As %
Medicine and Dentistry 3 43%
Agricultural and Biological Sciences 2 29%
Neuroscience 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
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 16 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from Methods in molecular biology
#9,829
of 13,046 outputs
Outputs of similar age
#248,706
of 280,682 outputs
Outputs of similar age from Methods in molecular biology
#299
of 340 outputs
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So far Altmetric has tracked 13,046 research outputs from this source. They receive a mean Attention Score of 3.3. 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 340 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.

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