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Detecting the H3F3A mutant allele found in high-grade pediatric glioma by real-time PCR

Overview of attention for article published in Journal of Neuro-Oncology, September 2015
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Title
Detecting the H3F3A mutant allele found in high-grade pediatric glioma by real-time PCR
Published in
Journal of Neuro-Oncology, September 2015
DOI 10.1007/s11060-015-1936-5
Pubmed ID
Authors

Ray Zhang, Jing Han, David Daniels, Haojie Huang, Zhiguo Zhang

Abstract

Diffuse intrinsic pontine glioma (DIPG) is an aggressive pediatric brain tumor with a median survival of 1 year after diagnosis. It has been reported recently that about 80 % of DIPG cases and 70 % of midline glioblastomas contain a mutation at one allele of the H3F3A gene (encoding histone H3 variant H3.3), replacing the lysine 27 with methionine (K27M). In order to facilitate diagnosis of DIPG patients, a quick and reliable method to identify the H3F3A K27M mutation is needed. Here, we describe a real-time PCR-based procedure involving a mutant-specific primer, a blocker oligonucleotide, and a reverse primer that can differentiate samples with H3F3A K27M mutation from those that do not. We first tested four different mutant-specific primers for their ability to selectively amplify H3F3A K27M-mutant allele and found that one primer amplified the mutant allele more efficiently than the rest. We then determined the optimal concentration of blocker oligo that significantly improved amplification of the H3F3A K27M-mutant allele. Using this optimized real-time PCR assay, we analyzed eleven samples, two of which containing H3F3A K27M mutation, and found that these two samples were differentially amplified from the nine others. In addition, we were able to discern the H3F3A K27M mutation in a newly obtained pediatric brainstem glioblastoma sample whose H3.3 status was not known previously, and in three other DIPG samples as well as paraffin embedded samples. These results demonstrate that we have developed a new reliable procedure for detecting the H3F3A K27M mutation in pediatric glioblastoma patient samples.

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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 %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Ph. D. Student 9 19%
Other 5 10%
Student > Doctoral Student 4 8%
Student > Master 3 6%
Other 5 10%
Unknown 12 25%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 7 15%
Agricultural and Biological Sciences 5 10%
Neuroscience 5 10%
Unspecified 2 4%
Other 4 8%
Unknown 15 31%
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 16 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Journal of Neuro-Oncology
#2,236
of 2,970 outputs
Outputs of similar age
#176,501
of 245,084 outputs
Outputs of similar age from Journal of Neuro-Oncology
#38
of 79 outputs
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