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Whole Genome Amplification

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Cover of 'Whole Genome Amplification'

Table of Contents

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    Book Overview
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    Chapter 1 Principles of Whole-Genome Amplification
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    Chapter 2 Bias in Whole Genome Amplification: Causes and Considerations.
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    Chapter 3 The Single-Cell Lab or How to Perform Single-Cell Molecular Analysis
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    Chapter 4 Sample Preparation Methods Following CellSearch Approach Compatible of Single-Cell Whole-Genome Amplification: An Overview
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    Chapter 5 Deterministic Whole-Genome Amplification of Single Cells.
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    Chapter 6 Construction of a DNA Library on Microbeads Using Whole Genome Amplification
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    Chapter 7 Heat-Induced Fragmentation and Adapter-Assisted Whole Genome Amplification Using GenomePlex ® Single-Cell Whole Genome Amplification Kit (WGA4)
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    Chapter 8 Whole Genome Amplification by Isothermal Multiple Strand Displacement Using Phi29 DNA Polymerase.
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    Chapter 9 Using Multiplex PCR for Assessing the Quality of Whole Genome Amplified DNA
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    Chapter 10 Quality Control of Isothermal Amplified DNA Based on Short Tandem Repeat Analysis
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    Chapter 11 Laser Microdissection of FFPE Tissue Areas and Subsequent Whole Genome Amplification by Ampli 1™
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    Chapter 12 Whole Genome Amplification from Blood Spot Samples
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    Chapter 13 Analysis of Whole Mitogenomes from Ancient Samples
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    Chapter 14 Copy Number Variation Analysis by Array Analysis of Single Cells Following Whole Genome Amplification.
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    Chapter 15 Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells.
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    Chapter 16 Whole Genome Amplification of Labeled Viable Single Cells Suited for Array-Comparative Genomic Hybridization
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    Chapter 17 Low-Volume On-Chip Single-Cell Whole Genome Amplification for Multiple Subsequent Analyses.
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    Chapter 18 Detection and Characterization of Circulating Tumor Cells by the CellSearch Approach
Attention for Chapter 13: Analysis of Whole Mitogenomes from Ancient Samples
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Chapter title
Analysis of Whole Mitogenomes from Ancient Samples
Chapter number 13
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_13
Pubmed ID
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Gloria Gonzales Fortes, Johanna L. A. Paijmans, Fortes, Gloria Gonzales, Paijmans, Johanna L. A.

Abstract

Ancient mitochondrial DNA has been used in a wide variety of paleontological and archeological studies, ranging from population dynamics of extinct species to patterns of domestication. Most of these studies have traditionally been based on the analysis of short fragments from the mitochondrial control region, analyzed using PCR coupled with Sanger sequencing. With the introduction of high-throughput sequencing, as well as new enrichment technologies, the recovery of full mitochondrial genomes (mitogenomes) from ancient specimens has become significantly less complicated. Here we present a protocol to build ancient extracts into Illumina high-throughput sequencing libraries, and subsequent Agilent array-based capture to enrich for the desired mitogenome. Both are based on previously published protocols, with the introduction of several improvements aimed to increase the recovery of short DNA fragments, while keeping the cost and effort requirements low. This protocol was designed for enrichment of mitochondrial DNA in ancient or other degraded samples. However, the protocols can be easily adapted for using for building libraries for shotgun-sequencing of whole genomes, or enrichment of other genomic regions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Germany 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 24%
Researcher 21 22%
Student > Bachelor 16 17%
Student > Master 6 6%
Student > Doctoral Student 4 4%
Other 12 13%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 41%
Biochemistry, Genetics and Molecular Biology 26 27%
Environmental Science 6 6%
Arts and Humanities 3 3%
Social Sciences 2 2%
Other 3 3%
Unknown 17 18%