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Whole Genome Amplification

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

Table of Contents

  1. Altmetric Badge
    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 15: Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells.
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Chapter title
Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells.
Chapter number 15
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_15
Pubmed ID
26374320
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Gasch, Christin, Pantel, Klaus, Riethdorf, Sabine, Christin Gasch, Klaus Pantel, Sabine Riethdorf

Abstract

Investigation of the genome of organisms is one of the major basics in molecular biology to understand the complex organization of cells. While genomic DNA can easily be isolated from tissues or cell cultures of plant, animal or human origin, DNA extraction from single cells is still challenging. Here, we describe three techniques for the amplification of genomic DNA of fixed single circulating tumor cells (CTC) isolated from blood of cancer patients. This amplification is aimed to increase DNA amounts from those of one cell to yields sufficient for different DNA analyses such as mutational analysis including next-generation sequencing, array-comparative genome hybridization (CGH), and quantitative measurement of gene amplifications. Molecular analysis of CTC as liquid biopsy can be used to identify therapeutic targets in personalized medicine directed, e.g. against human epidermal growth factor receptor 2 (HER2) or epidermal growth factor receptor (EGFR) and to stratify the patients to those therapies.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 2 12%
Student > Master 2 12%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Medicine and Dentistry 3 18%
Computer Science 2 12%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Other 3 18%
Unknown 3 18%
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
#17,773,420
of 22,828,180 outputs
Outputs from Methods in molecular biology
#7,236
of 13,125 outputs
Outputs of similar age
#241,885
of 353,128 outputs
Outputs of similar age from Methods in molecular biology
#431
of 997 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,125 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.

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