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MicroRNA-31 controls G protein alpha-13 (GNA13) expression and cell invasion in breast cancer cells

Overview of attention for article published in Molecular Cancer, March 2015
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Title
MicroRNA-31 controls G protein alpha-13 (GNA13) expression and cell invasion in breast cancer cells
Published in
Molecular Cancer, March 2015
DOI 10.1186/s12943-015-0337-x
Pubmed ID
Authors

Suhail Ahmed Kabeer Rasheed, Cui Rong Teo, Emmanuel Jean Beillard, P Mathijs Voorhoeve, Wei Zhou, Sujoy Ghosh, Patrick J Casey

Abstract

Gα13 (GNA13) is the α subunit of a heterotrimeric G protein that mediates signaling through specific G protein-coupled receptors (GPCRs). Our recent study showed that control of GNA13 expression by specific microRNAs (miRNAs or miRs) is important for prostate cancer cell invasion. However, little is known about the control of GNA13 expression in breast cancers. This project was carried out to determine (i) whether enhanced GNA13 expression is important for breast cancer cell invasion, and (ii) if so, the mechanism of deregulation of GNA13 expression in breast cancers. To determine the probable miRNAs regulating GNA13, online miRNA target prediction tool Targetscan and Luciferase assays with GNA13-3'-UTR were used. Effect of miRNAs on GNA13 mRNA, protein and invasion was studied using RT-PCR, western blotting and in vitro Boyden chamber assay respectively. Cell proliferation was done using MTT assays. Overexpression of GNA13 in MCF-10a cells induced invasion, whereas knockdown of GNA13 expression in MDA-MB-231 cells inhibited invasion. Expression analysis of miRNAs predicted to bind the 3'-UTR of GNA13 revealed that miR-31 exhibited an inverse correlation to GNA13 protein expression in breast cancer cells. Ectopic expression of miR-31 in MDA-MB-231 cells significantly reduced GNA13 mRNA and protein levels, as well as GNA13-3'-UTR-reporter activity. Conversely, blocking miR-31 activity in MCF-10a cells induced GNA13 mRNA, protein and 3'-UTR reporter activity. Further, expression of miR-31 significantly inhibited MDA-MB-231 cell invasion, and this effect was partly rescued by ectopic expression of GNA13 in these cells. Examination of 48 human breast cancer tissues revealed that GNA13 mRNA levels were inversely correlated to miR-31 levels. These data provide strong evidence that GNA13 expression in breast cancer cells is regulated by post-transcriptional mechanisms involving miR-31. Additionally our data shows that miR-31 regulates breast cancer cell invasion partially via targeting GNA13 expression in breast cancer cells. Loss of miR-31 expression and increased GNA13 expression could be used as biomarkers of breast cancer progression.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 10 21%
Student > Bachelor 6 13%
Student > Master 6 13%
Other 4 9%
Other 6 13%
Unknown 5 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 32%
Agricultural and Biological Sciences 9 19%
Medicine and Dentistry 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Immunology and Microbiology 2 4%
Other 7 15%
Unknown 6 13%

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 30 October 2019.
All research outputs
#12,282,738
of 16,110,448 outputs
Outputs from Molecular Cancer
#853
of 1,353 outputs
Outputs of similar age
#151,337
of 236,223 outputs
Outputs of similar age from Molecular Cancer
#1
of 1 outputs
Altmetric has tracked 16,110,448 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,353 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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