In silico analysis of combinatorial microRNA activity reveals target genes and pathways associated with breast cancer metastasis
Cancer Informatics, ISSN: 1176-9351, Vol: 10, Page: 13-29
2011
- 15Citations
- 46Usage
- 48Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations15
- Citation Indexes15
- 15
- CrossRef13
- Usage46
- Abstract Views45
- Downloads1
- Captures48
- Readers48
- 48
Article Description
Aberrant microRNA activity has been reported in many diseases, and studies often find numerous microRNAs concurrently dysregulated. Most target genes have binding sites for multiple microRNAs, and mounting evidence indicates that it is important to consider their combinatorial effect on target gene repression. A recent study associated the coincident loss of expression of six microRNAs with metastatic potential in breast cancer. Here, we used a new computational method, miR-AT!, to investigate combinatorial activity among this group of microRNAs. We found that the set of transcripts having multiple target sites for these microRNAs was significantly enriched with genes involved in cellular processes commonly perturbed in metastatic tumors: cell cycle regulation, cytoskeleton organization, and cell adhesion. Network analysis revealed numerous target genes upstream of cyclin D1 and c-Myc, indicating that the collective loss of the six microRNAs may have a focal effect on these two key regulatory nodes. A number of genes previously implicated in cancer metastasis are among the predicted combinatorial targets, including TGFB1, ARPC3, and RANKL. In summary, our analysis reveals extensive combinatorial interactions that have notable implications for their potential role in breast cancer metastasis and in therapeutic development. © the author(s), publisher and licensee Libertas Academica Ltd.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79952911456&origin=inward; http://dx.doi.org/10.4137/cin.s6631; http://www.ncbi.nlm.nih.gov/pubmed/21552493; http://journals.sagepub.com/doi/10.4137/CIN.S6631; http://journals.sagepub.com/doi/pdf/10.4137/CIN.S6631; http://journals.sagepub.com/doi/full-xml/10.4137/CIN.S6631; https://www.airitilibrary.com/Article/Detail/P20160613004-201112-201606130044-201606130044-13-29; https://dx.doi.org/10.4137/cin.s6631; https://journals.sagepub.com/doi/10.4137/CIN.S6631
SAGE Publications
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