Welcome to REMR
The dysregulation of adenosine-to-inosine (A-to-I) RNA editing is implicated in cancer progression. However, the comprehensive understanding of how the A-I RNA editing is incorporated in the miRNA regulations to modulate gene expression in cancer remains unclear, given the lack of effective identification methods.
We introduced an information theory-based algorithm named REMR to systematically identify 12,006 A-I RNA editing-mediated miRNA regulatory triplets (RNA editing site, miRNA, and gene) across ten major cancer types based on the multi-omics profiling data in The Cancer Genome Atlas (TCGA). Through analyses of functional enrichment, transcriptional regulatory network, and protein-protein interaction network, we revealed that the RNA editing-mediated miRNA regulations potentially affect critical cancer-related functions such as apoptosis, cell cycle, drug resistance, and immunity. Furthermore, the triplets can also serve as biomarkers for classifying cancer subtypes with distinct prognosis or drug response, highlighting the clinical relevance of such regulations.
We constructed an omnibus repository named REMR, which furnishes a user-friendly interface for a convenient retrieval of our findings.
Collectively, our study systematically dissected the RNA editing-mediated miRNA regulations, providing a valuable resource for understanding the mechanism of RNA editing as an epitranscriptomic regulator in cancer.
Framework
Statistic
Here, 'pair' represents miRNA-gene association.
News
2024-9-10: MAUNAL is updated.
2024-9-1: Data of REMR website has been updated.
2024-5-30: "DRUG RESPONSE" module is online, which contains the drug response-associated regulatory triplets that we identified in four cancer types.
2024-5-22: "SURVIVAL ANALYSIS" module is online, which includes the prognostic-associated regulatory triplets that we identified in ten cancer types.
2024-5-15: "GENOME BROWSER" is online, which enables the visualization of editing site information.
2024-5-8: REMR website launched the "TRIPLETS" module, which includes regulatory triplets from ten cancer types.
2024-5-1: REMR website development began.
2023-12-1: We successfully applied REMR to identify RNA editing-mediated miRNA regulatory triplets in ten major cancer types from TCGA and systematically analyzed their potential regulatory roles.
2023-5-1: We introduced an information theory-based algorithm named REMR (RNA editing-mediated miRNA regulation).