Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 19, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/ijms19071871
Keywords
microRNAs; gene regulatory networks; neoplasms; molecular targeted therapy
Funding
- National Institutes of Health (NIH/NCATS) grant through the NIH Common Fund [UH3TR00943-01]
- Office of Strategic Coordination (OSC)
- NIH/NCI grant [1 RO1 CA182905-01]
- U54 grant-UPR/MDACC Partnership for Excellence in Cancer Research 2016 Pilot Project
- DOD [CA160445P1]
- Ladies Leukemia League grant
- CLL Moonshot Flagship project
- SINF 2017 grant
- Estate of C. G. Johnson, Jr.
- POC grant [35/01.09.2016]
- MySMIS [103375]
- Fundacao de Amparo a Pesquisa de Estado de Sao Paulo (FAPESP) [2015/25832-4, 2016/2331-4]
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [15/25832-4] Funding Source: FAPESP
Ask authors/readers for more resources
Human cancers are characterized by deregulated expression of multiple microRNAs (miRNAs), involved in essential pathways that confer the malignant cells their tumorigenic potential. Each miRNA can regulate hundreds of messenger RNAs (mRNAs), while various miRNAs can control the same mRNA. Additionally, many miRNAs regulate and are regulated by other species of non-coding RNAs, such as circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs). For this reason, it is extremely difficult to predict, study, and analyze the precise role of a single miRNA involved in human cancer, considering the complexity of its connections. Focusing on a single miRNA molecule represents a limited approach. Additional information could come from network analysis, which has become a common tool in the biological field to better understand molecular interactions. In this review, we focus on the main types of networks (monopartite, association networks and bipartite) used for analyzing biological data related to miRNA function. We briefly present the important steps to take when generating networks, illustrating the theory with published examples and with future perspectives of how this approach can help to better select miRNAs that can be therapeutically targeted in cancer.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available