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Cancer Epigenetics

Overview of attention for book
Cover of 'Cancer Epigenetics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Epigenetic Markers of Early Tumor Development
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    Chapter 2 Epigenetics of Solid Cancer Stem Cells
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    Chapter 3 DNA Methylation and Histone Modifications in Breast Cancer
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    Chapter 4 DNA Methylation Changes in Prostate Cancer
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    Chapter 5 DNA methylation in promoter region as biomarkers in prostate cancer.
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    Chapter 6 Epigenetics of Bladder Cancer
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    Chapter 7 Epigenetics in Myeloid Malignancies
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    Chapter 8 The Epigenetics of Brain Tumors
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    Chapter 9 DNA Methylation Changes in Cervical Cancers
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    Chapter 10 Epigenetics of colon cancer.
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    Chapter 11 Promoter Methylation in Head and Neck Tumorigenesis
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    Chapter 12 Epigenome and DNA Methylation in Oral Squamous Cell Carcinoma
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    Chapter 13 Clinical Implications of Epigenetic Alterations in Human Thoracic Malignancies: Epigenetic Alterations in Lung Cancer
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    Chapter 14 The Role of MicroRNAs in the Management of Liver Cancer.
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    Chapter 15 Epigenetics in ovarian cancer.
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    Chapter 16 DNA Methylation in Pancreatic Cancer: Protocols for the Isolation of DNA and Bisulfite Modification
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    Chapter 17 Detection and analysis of DNA methylation by pyrosequencing.
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    Chapter 18 Screening for miRNA Expression Changes Using Quantitative PCR (Q-PCR).
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    Chapter 19 Genome-Wide Methylation Analysis
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    Chapter 20 Microarray for Epigenetic Changes: Gene Expression Arrays
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    Chapter 21 Detecting DNA Methylation Using the Methylated CpG Island Amplification and Microarray Technique
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    Chapter 22 Nutrigenomics: implications for breast and colon cancer prevention.
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    Chapter 23 Dietary and lifestyle factors of DNA methylation.
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    Chapter 24 Diet, epigenetics, and cancer.
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    Chapter 25 Role of Epigenetics in Cancer Health Disparities
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    Chapter 26 Multifactorial Etiology of Gastric Cancer
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    Chapter 27 Epigenetic Epidemiology for Cancer Risk: Harnessing Germline Epigenetic Variation
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    Chapter 28 Epigenetic Biomarkers in Cancer Epidemiology
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    Chapter 29 Screening for miRNA Expression Changes Using Quantitative PCR (Q-PCR)
Attention for Chapter 18: Screening for miRNA Expression Changes Using Quantitative PCR (Q-PCR).
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Citations

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Chapter title
Screening for miRNA Expression Changes Using Quantitative PCR (Q-PCR).
Chapter number 18
Book title
Cancer Epigenetics
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-612-8_18
Pubmed ID
22359301
Book ISBNs
978-1-61779-611-1, 978-1-61779-612-8
Authors

Richard N. Armstrong, Hilary A. A. Colyer, Ken I. Mills, Armstrong, Richard N., Colyer, Hilary A. A., Mills, Ken I.

Abstract

In this section, we describe the use of Applied Biosystems TaqMan Array microRNA Card Set 3.0 to identify miRNA expression in a given RNA sample. This array set includes an array "A" and an array "B" which each have 384 wells that contain specific forward, reverse, and probe oligoinucleotides for measuring the expression of individual miRNAs during a Real-Time PCR (Q-PCR) reaction. Array "A" includes assays for profiling the comparatively higher expressed and better characterized miRNAs. Presently there are 1,048 mature miRNAs annotated in miRBase (release 16). The relatively small amount of miRNAs in comparison to protein-coding genes makes this format a viable option for measuring genome-wide miRNA expression changes. The Applied Biosystems TaqMan miRNA array set 3.0, which includes two separate arrays, can profile 754 miRNAs.

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
United Kingdom 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Postgraduate 2 18%
Student > Master 2 18%
Other 1 9%
Other 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Medicine and Dentistry 2 18%
Immunology and Microbiology 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 1 9%

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 25 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from Methods in molecular biology
#7,811
of 13,021 outputs
Outputs of similar age
#195,921
of 244,048 outputs
Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
Altmetric has tracked 22,663,150 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 13,021 research outputs from this source. They receive a mean Attention Score of 3.3. 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 244,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.

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