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Rapid analysis of heterogeneously methylated DNA using digital methylation-sensitive high resolution melting: application to the CDKN2B (p15) gene

Overview of attention for article published in Epigenetics & Chromatin, November 2008
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Title
Rapid analysis of heterogeneously methylated DNA using digital methylation-sensitive high resolution melting: application to the CDKN2B (p15) gene
Published in
Epigenetics & Chromatin, November 2008
DOI 10.1186/1756-8935-1-7
Pubmed ID
Authors

Ida LM Candiloro, Thomas Mikeska, Peter Hokland, Alexander Dobrovic

Abstract

Methylation-sensitive high resolution melting (MS-HRM) methodology is able to recognise heterogeneously methylated sequences by their characteristic melting profiles. To further analyse heterogeneously methylated sequences, we adopted a digital approach to MS-HRM (dMS-HRM) that involves the amplification of single templates after limiting dilution to quantify and to determine the degree of methylation. We used this approach to study methylation of the CDKN2B (p15) cell cycle progression inhibitor gene which is inactivated by DNA methylation in haematological malignancies of the myeloid lineage. Its promoter region usually shows heterogeneous methylation and is only rarely fully methylated. The methylation status of CDKN2B can be used as a biomarker of response to treatment. Therefore the accurate characterisation of its methylation is desirable. MS-HRM was used to assess CDKN2B methylation in acute myeloid leukaemia (AML) samples. All the AML samples that were methylated at the CDKN2B promoter (40/93) showed varying degrees of heterogeneous methylation. Six representative samples were selected for further study. dMS-HRM was used to simultaneously count the methylated alleles and assess the degree of methylation. Direct sequencing of selected dMS-HRM products was used to determine the exact DNA methylation pattern and confirmed the degree of methylation estimated by dMS-HRM. dMS-HRM is a powerful technique for the analysis of methylation in CDKN2B and other heterogeneously methylated genes. It eliminates both PCR and cloning bias towards either methylated or unmethylated DNA. Potentially complex information is simplified into a digital output, allowing counting of methylated and unmethylated alleles and providing an overall picture of methylation at the given locus. Downstream sequencing is minimised as dMS-HRM acts as a screen to select only methylated clones for further analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 3 5%
Hong Kong 1 2%
Australia 1 2%
Mexico 1 2%
United States 1 2%
Unknown 59 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 16 24%
Student > Master 10 15%
Student > Doctoral Student 5 8%
Professor > Associate Professor 5 8%
Other 8 12%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 41%
Biochemistry, Genetics and Molecular Biology 22 33%
Medicine and Dentistry 7 11%
Engineering 3 5%
Environmental Science 1 2%
Other 0 0%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2024.
All research outputs
#8,563,607
of 25,440,205 outputs
Outputs from Epigenetics & Chromatin
#339
of 614 outputs
Outputs of similar age
#37,498
of 105,799 outputs
Outputs of similar age from Epigenetics & Chromatin
#3
of 7 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 41st percentile – i.e., 41% 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 105,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.