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Digital PCR

Overview of attention for book
Cover of 'Digital PCR'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Entering the Pantheon of 21 st Century Molecular Biology Tools: A Perspective on Digital PCR
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    Chapter 2 Basic Concepts and Validation of Digital PCR Measurements
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    Chapter 3 Fundamentals of Counting Statistics in Digital PCR: I Just Measured Two Target Copies–What Does It Mean?
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    Chapter 4 Control Materials and Digital PCR Methods for Evaluation of Circulating Cell-Free DNA Extractions from Plasma
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    Chapter 5 Multiplex Droplet Digital PCR Protocols for Quantification of GM Maize Events
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    Chapter 6 Using Droplet Digital PCR to Detect Coinfection of Human Herpesviruses 6A and 6B (HHV-6A and HHV-6B) in Clinical Samples
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    Chapter 7 Biomarkers in Cerebrospinal Fluid: Analysis of Cell-Free Circulating Mitochondrial DNA by Digital PCR
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    Chapter 8 Testing of General and Human-Associated Fecal Contamination in Waters
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    Chapter 9 Analyzing Copy Number Variation with Droplet Digital PCR
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    Chapter 10 Assessing HER2 Amplification in Plasma cfDNA
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    Chapter 11 Detection and Quantification of Mosaic Genomic DNA Variation in Primary Somatic Tissues Using ddPCR: Analysis of Mosaic Transposable-Element Insertions, Copy-Number Variants, and Single-Nucleotide Variants
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    Chapter 12 Monitoring of Response and Resistance in Plasma of EGFR -Mutant Lung Cancer Using Droplet Digital PCR
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    Chapter 13 Detection of Cancer DNA in Early Stage and Metastatic Breast Cancer Patients
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    Chapter 14 Droplet Digital PCR for Minimal Residual Disease Detection in Mature Lymphoproliferative Disorders
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    Chapter 15 Quantitation of JAK2 V617F Allele Burden by Using the QuantStudio™ 3D Digital PCR System
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    Chapter 16 Novel Multiplexing Strategies for Quantification of Rare Alleles Using ddPCR
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    Chapter 17 Identification and Use of Personalized Genomic Markers for Monitoring Circulating Tumor DNA
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    Chapter 18 Single Color Multiplexed ddPCR Copy Number Measurements and Single Nucleotide Variant Genotyping
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    Chapter 19 A Universal Droplet Digital PCR Approach for Monitoring of Graft Health After Transplantation Using a Preselected SNP Set
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    Chapter 20 Detection and Quantification of HDR and NHEJ Induced by Genome Editing at Endogenous Gene Loci Using Droplet Digital PCR
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    Chapter 21 DNA Methylation Analysis Using Droplet Digital PCR
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    Chapter 22 Simultaneous Quantification of Multiple Alternatively Spliced mRNA Transcripts Using Droplet Digital PCR
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    Chapter 23 Using Droplet Digital PCR to Analyze Allele-Specific RNA Expression
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    Chapter 24 Very Low Abundance Single-Cell Transcript Quantification with 5-Plex ddPCRTM Assays
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    Chapter 25 Quantification of Circulating MicroRNAs by Droplet Digital PCR
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    Chapter 26 Droplet Digital PCR for Absolute Quantification of Extracellular MicroRNAs in Plasma and Serum: Quantification of the Cancer Biomarker hsa-miR-141
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    Chapter 27 Droplet Digital™ PCR Next-Generation Sequencing Library QC Assay
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    Chapter 28 Phasing DNA Markers Using Digital PCR
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    Chapter 29 ddTRAP: A Method for Sensitive and Precise Quantification of Telomerase Activity
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    Chapter 30 Highly Efficient and Reliable DNA Aptamer Selection Using the Partitioning Capabilities of ddPCR: The Hi-Fi SELEX Method
Attention for Chapter 24: Very Low Abundance Single-Cell Transcript Quantification with 5-Plex ddPCRTM Assays
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Chapter title
Very Low Abundance Single-Cell Transcript Quantification with 5-Plex ddPCRTM Assays
Chapter number 24
Book title
Digital PCR
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7778-9_24
Pubmed ID
29717457
Book ISBNs
978-1-4939-7776-5, 978-1-4939-7778-9
Authors

George Karlin-Neumann, Bin Zhang, Claudia Litterst, Karlin-Neumann, George, Zhang, Bin, Litterst, Claudia

Abstract

Gene expression studies have provided one of the most accessible windows for understanding the molecular basis of cell and tissue phenotypes and how these change in response to stimuli. Current PCR-based and next generation sequencing methods offer great versatility in allowing the focused study of the roles of small numbers of genes or comprehensive profiling of the entire transcriptome of a sample at one time. Marrying of these approaches to various cell sorting technologies has recently enabled the profiling of expression in single cells, thereby increasing the resolution and sensitivity and strengthening the inferences from observed expression levels and changes. This chapter presents a quick and efficient 1-day workflow for sorting single cells with a small laboratory cell-sorter followed by an ultrahigh sensitivity, multiplexed digital PCR method for quantitative tracking of changes in 5-10 genes per single cell.

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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 %
Other 1 9%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 6 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Chemical Engineering 1 9%
Chemistry 1 9%
Medicine and Dentistry 1 9%
Unknown 5 45%
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 03 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Methods in molecular biology
#7,992
of 13,194 outputs
Outputs of similar age
#330,638
of 442,426 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,047,237 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 13,194 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.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.

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