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Evaluation of a novel antibody to define histone 3.3 G34R mutant brain tumours

Overview of attention for article published in Acta Neuropathologica Communications, June 2017
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Title
Evaluation of a novel antibody to define histone 3.3 G34R mutant brain tumours
Published in
Acta Neuropathologica Communications, June 2017
DOI 10.1186/s40478-017-0449-1
Pubmed ID
Authors

Farhana Haque, Pascale Varlet, Julien Puntonet, Lisa Storer, Aikaterini Bountali, Ruman Rahman, Jacques Grill, Angel M Carcaboso, Chris Jones, Robert Layfield, Richard G Grundy

Abstract

Missense somatic mutations affecting histone H3.1 and H3.3 proteins are now accepted as the hallmark of paediatric diffuse intrinsic pontine gliomas (DIPG), non-brain stem paediatric high grade gliomas (pHGG) as well as a subset of adult glioblastoma multiforme (GBM). Different mutations give rise to one of three amino acid substitutions at two critical positions within the histone tails, K27M, G34R/V. Several studies have highlighted gene expression and epigenetic changes associated with histone H3 mutations; however their precise roles in tumourigenesis remain incompletely understood. Determining how such amino acid substitutions in a protein affect its properties can be challenging because of difficulties in detecting and tracking mutant proteins within cells and tissues. Here we describe a strategy for the generation of antibodies to discriminate G34R and G34V mutant histone H3 proteins from their wild-type counterparts. Antibodies were validated by western blotting and immunocytochemistry, using recombinant H3.3 proteins and paediatric GBM cell lines. The H3-G34R antibody demonstrated a high degree of selectivity towards its target sequence. Accordingly, immunostaining on a cohort of 22 formalin-fixed paraffin embedded tumours with a previously known H3.3 G34R mutation status, detected successfully the corresponding mutant protein in 11/11 G34R cases. Since there was a high concordance between genotype and immunohistochemical analysis of G34R mutant tumour samples, we analysed a series of tissue microarrays (TMAs) to assess the specificity of the antibody in a range of paediatric brain tumours, and noted immunoreactivity in 2/634 cases. Importantly, we describe the generation and validation of highly specific antibodies for G34 mutations. Overall our work adds to an extremely valuable portfolio of antibodies, not only for histopathologic detection of tumour-associated mutant histone sequences, but also facilitating the study of spatial/anatomical aspects of tumour formation and the identification of downstream targets and pathways in malignant glioma progression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Other 7 14%
Student > Ph. D. Student 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 8 16%
Agricultural and Biological Sciences 5 10%
Neuroscience 4 8%
Computer Science 1 2%
Other 3 6%
Unknown 17 33%
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 26 October 2020.
All research outputs
#6,478,886
of 22,979,862 outputs
Outputs from Acta Neuropathologica Communications
#920
of 1,391 outputs
Outputs of similar age
#104,539
of 317,259 outputs
Outputs of similar age from Acta Neuropathologica Communications
#16
of 23 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 33rd percentile – i.e., 33% 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 317,259 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 66% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.