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Cis-regulatory somatic mutations and gene-expression alteration in B-cell lymphomas

Overview of attention for article published in Genome Biology, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Cis-regulatory somatic mutations and gene-expression alteration in B-cell lymphomas
Published in
Genome Biology, April 2015
DOI 10.1186/s13059-015-0648-7
Pubmed ID
Authors

Anthony Mathelier, Calvin Lefebvre, Allen W Zhang, David J Arenillas, Jiarui Ding, Wyeth W Wasserman, Sohrab P Shah

Abstract

With the rapid increase of whole genome sequencing of human cancers, an important opportunity to analyze and characterize somatic mutations lying within cis-regulatory regions has emerged. A focus on protein-coding regions to identify nonsense or missense mutations disruptive to protein structure and/or function has led to important insights, however the impact on gene expression of mutations lying within cis-regulatory regions remains under-explored. We analyzed somatic mutations from 84 matched tumour-normal whole genomes from B-cell lymphomas with accompanying gene expression measurements to elucidate the extent to which these cancers are disrupted by cis-regulatory mutations. We characterize mutations overlapping a high quality set of well-annotated transcription factor binding sites (TFBSs), covering a similar portion of the genome as protein-coding exons. Our results indicate that cis-regulatory mutations overlapping predicted TFBSs are enriched in promoter regions of genes involved in apoptosis or growth/proliferation. By integrating gene expression data with mutation data, our computational approach culminates with identification of cis-regulatory mutations most likely to participate in dysregulation of the gene expression program. The impact can be measured along with protein-coding mutations to highlight key mutations disrupting gene expression and pathways in cancer. Our study yields specific genes with disrupted expression triggered by genomic mutations in either the coding or the regulatory space. It implies that mutated regulatory components of the genome contribute substantially to cancer pathways. Our analyses demonstrate that identifying genomically altered cis-regulatory elements coupled with analysis of gene expression data will augment biological interpretation of mutational landscapes of cancers.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 2%
United Kingdom 2 2%
Italy 1 1%
Austria 1 1%
India 1 1%
France 1 1%
Canada 1 1%
China 1 1%
Spain 1 1%
Other 1 1%
Unknown 78 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 20 22%
Student > Master 13 14%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Other 10 11%
Unknown 7 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 37%
Agricultural and Biological Sciences 32 36%
Computer Science 6 7%
Medicine and Dentistry 5 6%
Nursing and Health Professions 1 1%
Other 3 3%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 September 2019.
All research outputs
#2,983,325
of 25,374,647 outputs
Outputs from Genome Biology
#2,236
of 4,467 outputs
Outputs of similar age
#36,786
of 279,915 outputs
Outputs of similar age from Genome Biology
#40
of 69 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% 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 279,915 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.