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Molecular Endocrinology

Overview of attention for book
Cover of 'Molecular Endocrinology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Determining the Affinity of Hormone−Receptor Interaction
  3. Altmetric Badge
    Chapter 2 Determination of Serum Estradiol Levels by Radiometric and Chemiluminescent Techniques
  4. Altmetric Badge
    Chapter 3 Identification of Natural Human Glucocorticoid Receptor (hGR) Mutations or Polymorphisms and Their Functional Consequences at the Hormone–Receptor Interaction Level
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    Chapter 4 Monitoring insulin-stimulated production of signaling lipids at the plasma membrane.
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    Chapter 5 Gene Expression Profiling in the Aging Ovary
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    Chapter 6 Genomics Analysis: Endometrium
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    Chapter 7 Detection of Ovarian Matrix Metalloproteinase mRNAs by In Situ Hybridization
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    Chapter 8 Adenoviral Gene Transfer into Isolated Pancreatic Islets
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    Chapter 9 Basic Molecular Techniques for the Detection of Single Nucleotide Polymorphisms: Genome-Wide Applications in Search for Endocrine Tumor Related Genes
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    Chapter 10 Methylated DNA immunoprecipitation and microarray-based analysis: detection of DNA methylation in breast cancer cell lines.
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    Chapter 11 Use of Reporter Genes to Study the Activity of Promoters in Ovarian Granulosa Cells
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    Chapter 12 Use of Reporter Genes to Study Promoters of the Androgen Receptor
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    Chapter 13 Isolation of Proteins Associated with the DNA-Bound Estrogen Receptor α
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    Chapter 14 Chromosome-Wide Analysis of Protein Binding and Modifications
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    Chapter 15 Genome-wide analysis for protein-DNA interaction: ChIP-chip.
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    Chapter 16 Detection of ERα-SRC-1 Interactions Using Bioluminescent Resonance Energy Transfer
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    Chapter 17 Detection of Proteins Sumoylated In Vivo and In Vitro
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    Chapter 18 Identification of alternative transcripts using rapid amplification of cDNA ends (RACE).
  20. Altmetric Badge
    Chapter 19 Use of Laser Capture Microdissection in Studying Hormone-Dependent Diseases: Endometriosis
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    Chapter 20 Reporter mice for the study of intracellular receptor activity.
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    Chapter 21 Real-Time Non-invasive Imaging of ES Cell-Derived Insulin Producing Cells
  23. Altmetric Badge
    Chapter 22 Transgenic Mouse Technology: Principles and Methods
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    Chapter 23 Breast Tumor-Initiating Cells Isolated from Patient Core Biopsies for Study of Hormone Action
  25. Altmetric Badge
    Chapter 24 Markers of oxidative stress and sperm chromatin integrity.
  26. Altmetric Badge
    Chapter 25 Planning and Executing a Genome Wide Association Study (GWAS)
Attention for Chapter 10: Methylated DNA immunoprecipitation and microarray-based analysis: detection of DNA methylation in breast cancer cell lines.
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 patent
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1 Facebook page

Citations

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11 Dimensions

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60 Mendeley
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Chapter title
Methylated DNA immunoprecipitation and microarray-based analysis: detection of DNA methylation in breast cancer cell lines.
Chapter number 10
Book title
Molecular Endocrinology
Published in
Methods in molecular biology, December 2008
DOI 10.1007/978-1-60327-378-7_10
Pubmed ID
Book ISBNs
978-1-60327-377-0, 978-1-60327-378-7
Authors

Weng YI, Huang TH, Yan PS, Yu-I Weng, Tim H.-M. Huang, Pearlly S. Yan, Weng, Yu-I, Huang, Tim H.-M., Yan, Pearlly S.

Abstract

The methylated DNA immunoprecipitation microarray (MeDIP-chip) is a genome-wide, high-resolution approach to detect DNA methylation in whole genome or CpG (cytosine base followed by a guanine base) islands. The method utilizes anti-methylcytosine antibody to immunoprecipitate DNA that contains highly methylated CpG sites. Enriched methylated DNA can be interrogated using DNA microarrays or by massive parallel sequencing techniques. This combined approach allows researchers to rapidly identify methylated regions in a genome-wide manner, and compare DNA methylation patterns between two samples with diversely different DNA methylation status. MeDIP-chip has been applied successfully for analyses of methylated DNA in the different targets including animal and plant tissues. Here we present a MeDIP-chip protocol that is routinely used in our laboratory, illustrated with specific examples from MeDIP-chip analysis of breast cancer cell lines. Potential technical pitfalls and solutions are also provided to serve as workflow guidelines.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Netherlands 1 2%
Switzerland 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 32%
Student > Master 9 15%
Student > Doctoral Student 6 10%
Researcher 6 10%
Student > Bachelor 4 7%
Other 8 13%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 35%
Biochemistry, Genetics and Molecular Biology 19 32%
Medicine and Dentistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Computer Science 1 2%
Other 4 7%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 November 2014.
All research outputs
#7,178,663
of 22,691,736 outputs
Outputs from Methods in molecular biology
#2,174
of 13,045 outputs
Outputs of similar age
#47,461
of 168,359 outputs
Outputs of similar age from Methods in molecular biology
#57
of 157 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 82% of its peers.
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 168,359 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 157 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 63% of its contemporaries.