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Pyrosequencing

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Cover of 'Pyrosequencing'

Table of Contents

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    Book Overview
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    Chapter 1 The History of Pyrosequencing ®
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    Chapter 2 PyroMark(®) Instruments, Chemistry, and Software for Pyrosequencing(®) Analysis.
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    Chapter 3 Software-Based Pyrogram ® Evaluation
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    Chapter 4 Quantitative Validation and Quality Control of Pyrosequencing ® Assays
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    Chapter 5 Extended KRAS and NRAS Mutation Profiling by Pyrosequencing ®
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    Chapter 6 Universal BRAF State Detection by the Pyrosequencing ® -Based U-BRAF V600 Assay
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    Chapter 7 Pyrosequencing
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    Chapter 8 Analysis of Mutational Hotspots in Routinely Processed Bone Marrow Trephines by Pyrosequencing ®
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    Chapter 9 Analysis of Copy Number Variation by Pyrosequencing(®) Using Paralogous Sequences.
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    Chapter 10 Prenatal Diagnosis of Chromosomal Aneuploidies by Quantitative Pyrosequencing(®).
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    Chapter 11 HLA-B and HLA-C Supratyping by Pyrosequencing ®
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    Chapter 12 Allele Quantification Pyrosequencing(®) at Designated SNP Sites to Detect Allelic Expression Imbalance and Loss-of-Heterozygosity.
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    Chapter 13 Quantitative DNA Methylation Analysis by Pyrosequencing(®).
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    Chapter 14 Quantitative Methylation Analysis of the PCDHB Gene Cluster.
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    Chapter 15 Assessment of Changes in Global DNA Methylation Levels by Pyrosequencing(®) of Repetitive Elements.
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    Chapter 16 Global Analysis of DNA 5-Methylcytosine Using the Luminometric Methylation Assay, LUMA.
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    Chapter 17 Limiting Dilution Bisulfite Pyrosequencing(®): A Method for Methylation Analysis of Individual DNA Molecules in a Single or a Few Cells.
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    Chapter 18 Detection of Loss of Imprinting by Pyrosequencing(®).
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    Chapter 19 Analysis of DNA Methylation Patterns in Single Blastocysts by Pyrosequencing(®).
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    Chapter 20 Allele-Specific DNA Methylation Detection by Pyrosequencing(®).
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    Chapter 21 SNP-Based Quantification of Allele-Specific DNA Methylation Patterns by Pyrosequencing ®
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    Chapter 22 DNA Methylation Analysis of ChIP Products at Single Nucleotide Resolution by Pyrosequencing(®).
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    Chapter 23 Multiplex Pyrosequencing ® : Simultaneous Genotyping Based on SNPs from Distant Genomic Regions
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    Chapter 24 Pyrosequencing
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    Chapter 25 Application of Pyrosequencing ® in Food Biodefense
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    Chapter 26 Pyrosequencing
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    Chapter 27 Tissue-Specific DNA Methylation Patterns in Forensic Samples Detected by Pyrosequencing(®).
Attention for Chapter 8: Analysis of Mutational Hotspots in Routinely Processed Bone Marrow Trephines by Pyrosequencing ®
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Chapter title
Analysis of Mutational Hotspots in Routinely Processed Bone Marrow Trephines by Pyrosequencing ®
Chapter number 8
Book title
Pyrosequencing
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2715-9_8
Pubmed ID
Book ISBNs
978-1-4939-2714-2, 978-1-4939-2715-9
Authors

Stephan Bartels, Ulrich Lehmann, Bartels, Stephan, Lehmann, Ulrich

Abstract

Formalin-fixed, paraffin-embedded (FFPE) bone marrow trephines are widely used in pathology, because they best preserve the morphological details of the bone marrow. However, DNA isolated from FFPE material is fragmented, limiting the size of amplification products, which is a challenge for all sequencing applications.Pyrosequencing(®) is a quantitative and sensitive method for the detection of single-nucleotide variations (SNVs) in DNA samples. Pyrosequencing can easily be performed in a 96-well-plate format with a cost-effective medium-sized throughput.This chapter provides a general outline of SNV detection in FFPE bone marrow trephines, including a detailed protocol of the Pyrosequencing procedure and guidelines for the design of new assays and evaluation of Pyrograms. The strengths of this approach are discussed using myeloproliferative neoplasms as an example.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Agricultural and Biological Sciences 1 17%
Sports and Recreations 1 17%
Medicine and Dentistry 1 17%
Unknown 1 17%