↓ Skip to main content

Whole Genome Amplification

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Principles of Whole-Genome Amplification
  3. Altmetric Badge
    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
  5. Altmetric Badge
    Chapter 4 Sample Preparation Methods Following CellSearch Approach Compatible of Single-Cell Whole-Genome Amplification: An Overview
  6. Altmetric Badge
    Chapter 5 Deterministic Whole-Genome Amplification of Single Cells.
  7. Altmetric Badge
    Chapter 6 Construction of a DNA Library on Microbeads Using Whole Genome Amplification
  8. Altmetric Badge
    Chapter 7 Heat-Induced Fragmentation and Adapter-Assisted Whole Genome Amplification Using GenomePlex ® Single-Cell Whole Genome Amplification Kit (WGA4)
  9. Altmetric Badge
    Chapter 8 Whole Genome Amplification by Isothermal Multiple Strand Displacement Using Phi29 DNA Polymerase.
  10. Altmetric Badge
    Chapter 9 Using Multiplex PCR for Assessing the Quality of Whole Genome Amplified DNA
  11. Altmetric Badge
    Chapter 10 Quality Control of Isothermal Amplified DNA Based on Short Tandem Repeat Analysis
  12. Altmetric Badge
    Chapter 11 Laser Microdissection of FFPE Tissue Areas and Subsequent Whole Genome Amplification by Ampli 1™
  13. Altmetric Badge
    Chapter 12 Whole Genome Amplification from Blood Spot Samples
  14. Altmetric Badge
    Chapter 13 Analysis of Whole Mitogenomes from Ancient Samples
  15. Altmetric Badge
    Chapter 14 Copy Number Variation Analysis by Array Analysis of Single Cells Following Whole Genome Amplification.
  16. Altmetric Badge
    Chapter 15 Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells.
  17. Altmetric Badge
    Chapter 16 Whole Genome Amplification of Labeled Viable Single Cells Suited for Array-Comparative Genomic Hybridization
  18. Altmetric Badge
    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 5: Deterministic Whole-Genome Amplification of Single Cells.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Deterministic Whole-Genome Amplification of Single Cells.
Chapter number 5
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_5
Pubmed ID
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Czyż, Zbigniew Tadeusz, Klein, Christoph A, Zbigniew Tadeusz Czyż, Christoph A. Klein, Klein, Christoph A.

Abstract

This chapter describes a single-cell whole genome amplification method (WGA) that has been originally published under the name "Single Cell Comparative Genomic Hybridization (SCOMP)" (Klein et al., Proc Natl Acad Sci U S A 96(8):4494-4499, 1999). The method has recently become available commercially under the name "Ampli1(™) WGA Kit." It is a PCR-based technique for whole genome amplification (WGA) allowing comprehensive and quite uniform amplification of DNA from low quantities of input DNA material, in particular single cells. The method is based on a ligation-mediated adaptor linker PCR approach. In contrast to other PCR-based WGA approaches, both the primer design and mechanism underlying the fragmentation of genome are nonrandom, enabling high priming efficiency and deterministic fragmentation of template DNA. This is particularly important for the design of (diagnostic) assays targeting specific loci. Here, we describe the WGA protocol for amplification of single-cell genomes designed to provide high-quality material in quantity sufficient for a number of locus-specific and genome-wide downstream assays [e.g., targeted Sanger sequencing, restriction fragment length polymorphism (RFLP), quantitative PCR (qPCR), and array comparative genomic hybridization (CGH)].

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 %
Researcher 3 27%
Student > Doctoral Student 1 9%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Medicine and Dentistry 2 18%
Agricultural and Biological Sciences 1 9%
Unknown 4 36%
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
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 24th percentile – i.e., 24% 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 16th percentile – i.e., 16% 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 is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.