↓ Skip to main content

Wnt-signalling pathways and microRNAs network in carcinogenesis: experimental and bioinformatics approaches

Overview of attention for article published in Molecular Cancer, September 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
55 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
Wnt-signalling pathways and microRNAs network in carcinogenesis: experimental and bioinformatics approaches
Published in
Molecular Cancer, September 2016
DOI 10.1186/s12943-016-0541-3
Pubmed ID
Authors

Emenike K. Onyido, Eloise Sweeney, Abdolrahman Shams Nateri

Abstract

Over the past few years, microRNAs (miRNAs) have not only emerged as integral regulators of gene expression at the post-transcriptional level but also respond to signalling molecules to affect cell function(s). miRNAs crosstalk with a variety of the key cellular signalling networks such as Wnt, transforming growth factor-β and Notch, control stem cell activity in maintaining tissue homeostasis, while if dysregulated contributes to the initiation and progression of cancer. Herein, we overview the molecular mechanism(s) underlying the crosstalk between Wnt-signalling components (canonical and non-canonical) and miRNAs, as well as changes in the miRNA/Wnt-signalling components observed in the different forms of cancer. Furthermore, the fundamental understanding of miRNA-mediated regulation of Wnt-signalling pathway and vice versa has been significantly improved by high-throughput genomics and bioinformatics technologies. Whilst, these approaches have identified a number of specific miRNA(s) that function as oncogenes or tumour suppressors, additional analyses will be necessary to fully unravel the links among conserved cellular signalling pathways and miRNAs and their potential associated components in cancer, thereby creating therapeutic avenues against tumours. Hence, we also discuss the current challenges associated with Wnt-signalling/miRNAs complex and the analysis using the biomedical experimental and bioinformatics approaches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Doctoral Student 7 13%
Student > Bachelor 7 13%
Student > Master 6 11%
Other 4 7%
Other 11 20%
Unknown 12 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 36%
Agricultural and Biological Sciences 12 22%
Medicine and Dentistry 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Neuroscience 2 4%
Other 2 4%
Unknown 11 20%
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 31 July 2017.
All research outputs
#6,759,339
of 22,886,568 outputs
Outputs from Molecular Cancer
#471
of 1,725 outputs
Outputs of similar age
#105,060
of 337,011 outputs
Outputs of similar age from Molecular Cancer
#5
of 9 outputs
Altmetric has tracked 22,886,568 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 1,725 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 337,011 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 68% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.