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Epigenetic Alterations in Oncogenesis

Overview of attention for book
Attention for Chapter 15: Methods for cancer epigenome analysis.
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Chapter title
Methods for cancer epigenome analysis.
Chapter number 15
Book title
Epigenetic Alterations in Oncogenesis
Published in
Advances in experimental medicine and biology, January 2013
DOI 10.1007/978-1-4419-9967-2_15
Pubmed ID
Book ISBNs
978-1-4419-9966-5, 978-1-4419-9967-2
Authors

Nagarajan RP, Fouse SD, Bell RJ, Costello JF, Raman P. Nagarajan, Shaun D. Fouse, Robert J. A. Bell, Joseph F. Costello, Nagarajan, Raman P., Fouse, Shaun D., Bell, Robert J. A., Costello, Joseph F.

Abstract

Accurate detection of epimutations in tumor cells is crucial for -understanding the molecular pathogenesis of cancer. Alterations in DNA methylation in cancer are functionally important and clinically relevant, but even this well-studied area is continually re-evaluated in light of unanticipated results, such as the strong association between aberrant DNA methylation in adult tumors and polycomb group profiles in embryonic stem cells, cancer-associated genetic mutations in epigenetic regulators such as DNMT3A and TET family genes, and the discovery of altered 5-hydroxymethylcytosine, a product of TET proteins acting on 5-methylcytosine, in human tumors with TET mutations. The abundance and distribution of covalent histone modifications in primary cancer tissues relative to normal cells is an important but largely uncharted area, although there is good evidence for a mechanistic role of cancer-specific alterations in histone modifications in tumor etiology, drug response, and tumor progression. Meanwhile, the discovery of new epigenetic marks continues, and there are many useful methods for epigenome analysis applicable to primary tumor samples, in addition to cancer cell lines. For DNA methylation and hydroxymethylation, next-generation sequencing allows increasingly inexpensive and quantitative whole-genome profiling. Similarly, the refinement and maturation of chromatin immunoprecipitation with next-generation sequencing (ChIP-seq) has made possible genome-wide mapping of histone modifications, open chromatin, and transcription factor binding sites. Computational tools have been developed apace with these epigenome methods to better enable accurate interpretation of the profiling data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Belgium 1 2%
Luxembourg 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 14 29%
Student > Doctoral Student 3 6%
Professor 3 6%
Other 2 4%
Other 6 13%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 35%
Biochemistry, Genetics and Molecular Biology 16 33%
Medicine and Dentistry 3 6%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 7 15%
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 08 September 2012.
All research outputs
#18,314,922
of 22,678,224 outputs
Outputs from Advances in experimental medicine and biology
#3,276
of 4,903 outputs
Outputs of similar age
#217,911
of 280,617 outputs
Outputs of similar age from Advances in experimental medicine and biology
#104
of 169 outputs
Altmetric has tracked 22,678,224 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 4,903 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% 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 280,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.