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Array Comparative Genomic Hybridization

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Cover of 'Array Comparative Genomic Hybridization'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Array Comparative Genomic Hybridization: An Overview of Protocols, Applications, and Technology Trends
  3. Altmetric Badge
    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.
  23. Altmetric Badge
    Chapter 22 Distinguishing Somatic and Germline Copy Number Events in Cancer Patient DNA Hybridized to Whole-Genome SNP Genotyping Arrays
Attention for Chapter 14: Genome-Wide DNA Profiling of HIV-Related B-Cell Lymphomas.
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Chapter title
Genome-Wide DNA Profiling of HIV-Related B-Cell Lymphomas.
Chapter number 14
Book title
Array Comparative Genomic Hybridization
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-281-0_14
Pubmed ID
Book ISBNs
978-1-62703-280-3, 978-1-62703-281-0
Authors

Andrea Rinaldi, Daniela Capello, Emanuele Zucca, Gianluca Gaidano, Francesco Bertoni, Rinaldi, Andrea, Capello, Daniela, Zucca, Emanuele, Gaidano, Gianluca, Bertoni, Francesco

Abstract

Non-Hodgkin lymphomas represent a frequent complication of human immunodeficiency virus (HIV) infection, occurring at higher frequency than in immunocompetent individuals, and causing morbidity and mortality. Here, we present the method we have followed to analyze the genomic lesions in HIV-related and in other immunodeficiency-related lymphomas, as well in diffuse large B-cell lymphoma (DLBCL) samples derived from immunocompetent hosts. The technology we have used is represented by the GeneChip Human Mapping 250K NspI arrays (Affymetrix, Santa Clara, CA, USA), arrays based on 25mer oligonucleotides initially designed for large-scale genotyping, that is, the detection of thousands of single-nucleotide polymorphisms (SNPs), then shown to be applicable for the detection of cancer alterations. The protocol is shown in all its steps with suggestions and tips. Applications of the technology and obtained results are also briefly summarized.

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Bachelor 2 13%
Student > Master 2 13%
Lecturer 1 7%
Other 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Biochemistry, Genetics and Molecular Biology 3 20%
Immunology and Microbiology 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 4 27%
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 17 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from Methods in molecular biology
#7,835
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Outputs of similar age
#217,972
of 280,682 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
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