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Lymphoma

Overview of attention for book
Cover of 'Lymphoma'

Table of Contents

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    Book Overview
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    Chapter 1 Origin and Pathogenesis of B Cell Lymphomas
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    Chapter 2 Flow cytometry for non-hodgkin and classical hodgkin lymphoma.
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    Chapter 3 Laser-Based Microdissection of Single Cells from Tissue Sections and PCR Analysis of Rearranged Immunoglobulin Genes from Isolated Normal and Malignant Human B Cells
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    Chapter 4 PCR-Based Analysis of Rearranged Immunoglobulin or T-Cell Receptor Genes by GeneScan Analysis or Heteroduplex Analysis for Clonality Assessment in Lymphoma Diagnostics
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    Chapter 5 Expression Cloning of Human B Cell Immunoglobulins
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    Chapter 6 Studying the Replication History of Human B Lymphocytes by Real-Time Quantitative (RQ)-PCR.
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    Chapter 7 The Detection of Chromosomal Translocations Involving the Immunoglobulin Loci in B-Cell Malignancies
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    Chapter 8 Stereotyped B Cell Receptors in B Cell Leukemias and Lymphomas
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    Chapter 9 Flow Cytometric MRD Detection in Selected Mature B-Cell Malignancies
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    Chapter 10 MRD Detection in B-Cell Non-Hodgkin Lymphomas Using Ig Gene Rearrangements and Chromosomal Translocations as Targets for Real-Time Quantitative PCR
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    Chapter 11 Enrichment of Methylated DNA by Methyl-CpG Immunoprecipitation
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    Chapter 12 Gene Expression Profile Analysis of Lymphomas
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    Chapter 13 FISH and FICTION to Detect Chromosomal Aberrations in Lymphomas
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    Chapter 14 Identification of Pathogenetically Relevant Genes in Lymphomagenesis by shRNA Library Screens
  16. Altmetric Badge
    Chapter 15 Lymphoma
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    Chapter 16 Molecular Methods of Virus Detection in Lymphoma
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    Chapter 17 High-throughput RNA sequencing in B-cell lymphomas.
Attention for Chapter 6: Studying the Replication History of Human B Lymphocytes by Real-Time Quantitative (RQ)-PCR.
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Chapter title
Studying the Replication History of Human B Lymphocytes by Real-Time Quantitative (RQ)-PCR.
Chapter number 6
Book title
Lymphoma
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-269-8_6
Pubmed ID
Book ISBNs
978-1-62703-268-1, 978-1-62703-269-8
Authors

Menno C. van Zelm, Magdalena A. Berkowska, Jacques J. M. van Dongen

Abstract

The cells of the adaptive immune system, B and T lymphocytes, each generate a unique antigen receptor through V(D)J recombination of their immunoglobulin (Ig) and T cell receptor (TCR) loci, respectively. Such rearrangements join coding elements to form a coding joint and delete the intervening DNA as circular excision products containing the signal joint. These excision circles are stable structures that cannot replicate and have no function in the cell. Since the coding joint in the genome is replicated with each cell division, the ratio between coding joints and signal joints in a population of B cells can be used as a measure for proliferation. This chapter describes a real-time quantitative (RQ-)PCR-based approach to quantify proliferation through calculating the ratio between coding joints and signal joints of the frequently occurring intronRSS-Kde rearrangements in the IGK light chain locus. The approach is useful to study basic B-cell biology as well as abnormal proliferation in human diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Researcher 3 27%
Student > Doctoral Student 1 9%
Unknown 3 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Medicine and Dentistry 2 18%
Computer Science 1 9%
Immunology and Microbiology 1 9%
Engineering 1 9%
Other 0 0%
Unknown 3 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 10 January 2013.
All research outputs
#18,325,190
of 22,691,736 outputs
Outputs from Methods in molecular biology
#7,835
of 13,045 outputs
Outputs of similar age
#217,964
of 280,671 outputs
Outputs of similar age from Methods in molecular biology
#219
of 339 outputs
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We're also able to compare this research output to 339 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.