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A Survey of Regulatory Interactions Among RNA Binding Proteins and MicroRNAs in Cancer
Ying Liu1,2, Chu Pan1,2, Dehan Kong3
1College of Computer Science and Electronic Engineering, Hunan University, Changsha, China.
Abstract:
Recent advances in genomics and proteomics generated a large amount of trans regulatory data such as those mediated by RNA binding proteins (RBPs) and microRNAs. Since many trans regulators target 3' UTR of mRNA transcripts, it is likely that there would be interactions, i.e., competitive or cooperative effect, among these trans factors. We compiled the available RBP and microRNA binding sites, mapped them to the mRNA transcripts, and correlated the binding data with mRNA expression data generated by The Cancer Genome Atlas (TCGA). We separated pairs of RBPs and microRNAs into three scenarios: those that have overlapping target sites on the same mRNA transcript (overlapping), those that have target sites on the same mRNA transcript but non-overlapping (neighboring), and those that do not target the same mRNA transcript (independent). Through a regression analysis on expression profiles, we indeed observed interaction effect between RBPs and microRNAs in the majority of the cancer expression data sets. We further discussed implication of such widespread interactions in the context of cancer and diseases.
Insights
RNA binding proteins (RBPs) and microRNAs interact in cancer, influencing gene expression. This study analyzed their binding sites and expression data to reveal widespread regulatory interactions affecting disease.
Area of Science:
- Genomics and Proteomics
- Molecular Biology
- Cancer Research
Background:
- Advances in genomics and proteomics yield extensive trans-regulatory data, including RNA binding proteins (RBPs) and microRNAs.
- Many trans-regulators target the 3' untranslated region (UTR) of mRNA, suggesting potential interactions like competitive or cooperative effects.
Purpose of the Study:
- To investigate interactions between RBPs and microRNAs.
- To correlate RBP and microRNA binding data with mRNA expression in cancer.
Main Methods:
- Compiled available RBP and microRNA binding sites.
- Mapped binding sites to mRNA transcripts.
- Correlated binding data with mRNA expression data from The Cancer Genome Atlas (TCGA) using regression analysis.
Main Results:
- Observed significant interaction effects between RBPs and microRNAs in most cancer expression datasets.
- Categorized RBP-microRNA pairs into overlapping, neighboring, and independent target site scenarios.
- Demonstrated widespread interactions influencing mRNA expression profiles.
Conclusions:
- Widespread interactions between RBPs and microRNAs are evident in cancer.
- These interactions have significant implications for understanding cancer and disease development.
- The findings highlight a complex regulatory network involving RBPs and microRNAs in oncogenesis.
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