↓ Skip to main content

Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer

Overview of attention for article published in Genome Medicine, February 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer
Published in
Genome Medicine, February 2015
DOI 10.1186/s13073-015-0135-5
Pubmed ID
Authors

Miriam Ragle Aure, Sandra Jernström, Marit Krohn, Hans Kristian Moen Vollan, Eldri U Due, Einar Rødland, Rolf Kåresen, Oslo Breast Cancer Research Consortium (OSBREAC), Prahlad Ram, Yiling Lu, Gordon B Mills, Kristine Kleivi Sahlberg, Anne-Lise Børresen-Dale, Ole Christian Lingjærde, Vessela N Kristensen

Abstract

The role played by microRNAs in the deregulation of protein expression in breast cancer is only partly understood. To gain insight, the combined effect of microRNA and mRNA expression on protein expression was investigated in three independent data sets. Protein expression was modeled as a multilinear function of powers of mRNA and microRNA expression. The model was first applied to mRNA and protein expression for 105 selected cancer-associated genes and to genome-wide microRNA expression from 283 breast tumors. The model considered both the effect of one microRNA at a time and all microRNAs combined. In the latter case the Lasso penalized regression method was applied to detect the simultaneous effect of multiple microRNAs. An interactome map for breast cancer representing all direct and indirect associations between the expression of microRNAs and proteins was derived. A pattern of extensive coordination between microRNA and protein expression in breast cancer emerges, with multiple clusters of microRNAs being associated with multiple clusters of proteins. Results were subsequently validated in two independent breast cancer data sets. A number of the microRNA-protein associations were functionally validated in a breast cancer cell line. A comprehensive map is derived for the co-expression in breast cancer of microRNAs and 105 proteins with known roles in cancer, after filtering out the in-cis effect of mRNA expression. The analysis suggests that group action by several microRNAs to deregulate the expression of proteins is a common modus operandi in breast cancer.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Norway 1 2%
Brazil 1 2%
United Kingdom 1 2%
Denmark 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 40%
Student > Ph. D. Student 15 26%
Student > Bachelor 6 10%
Student > Master 3 5%
Student > Postgraduate 3 5%
Other 4 7%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 28%
Biochemistry, Genetics and Molecular Biology 11 19%
Medicine and Dentistry 8 14%
Computer Science 7 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 9%
Unknown 9 16%
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 April 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Genome Medicine
#1,408
of 1,440 outputs
Outputs of similar age
#296,169
of 352,005 outputs
Outputs of similar age from Genome Medicine
#34
of 34 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 1st percentile – i.e., 1% 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 352,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.