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Whole Genome Amplification

Overview of attention for book
Cover of 'Whole Genome Amplification'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Principles of Whole-Genome Amplification
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    Chapter 2 Bias in Whole Genome Amplification: Causes and Considerations.
  4. Altmetric Badge
    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.
  19. Altmetric Badge
    Chapter 18 Detection and Characterization of Circulating Tumor Cells by the CellSearch Approach
Attention for Chapter 17: Low-Volume On-Chip Single-Cell Whole Genome Amplification for Multiple Subsequent Analyses.
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Chapter title
Low-Volume On-Chip Single-Cell Whole Genome Amplification for Multiple Subsequent Analyses.
Chapter number 17
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_17
Pubmed ID
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Kroneis, Thomas, Chen, Shukun, El-Heliebi, Amin, Thomas Kroneis, Shukun Chen, Amin El-Heliebi

Abstract

Multiple analyses such as DNA profiling, sequencing, or comparative genome hybridization (CGH) done on the single-cell level long for pre-amplification due to the diploid human genome. Isothermal whole genome amplification allows amplification of long DNA templates from single cells. When analysis needs to be performed under rare cell conditions additional care needs to be taken due to the fact that, even after pre-enrichment, few candidate target cells are still dispersed among an overwhelming number of non-target background cells. Here, we describe a protocol where we define a population of candidate target cells based on specific staining. Candidate cells are then isolated by laser microdissection and pressure catapulting (LMPC) and transferred onto a microliter reaction slide. This slide allows monitoring the single-cell isolation process and isothermal whole genome amplification in less than 2 μL. The amplification products obtained from single cells can be forwarded to multiple analyses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Researcher 1 25%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Agricultural and Biological Sciences 1 25%
Economics, Econometrics and Finance 1 25%
Unknown 1 25%
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 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Methods in molecular biology
#7,918
of 13,125 outputs
Outputs of similar age
#255,871
of 353,128 outputs
Outputs of similar age from Methods in molecular biology
#481
of 997 outputs
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