The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases
Description
This dataset compiles the supporting information and evidence base for the comprehensive review entitled "The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases". What data contains: The dataset includes curated literature analysis and synthesized data on the characteristics, mechanisms, and clinical applications of circular RNAs (circRNAs) as liquid biopsy biomarkers. It encompasses their roles in non-cancerous diseases, with a focus on Cardiovascular Diseases (e.g., Atherosclerosis, Myocardial Infarction, Heart Failure) and Autoimmune Diseases (e.g., Rheumatoid Arthritis, Systemic Lupus Erythematosus). Data on circRNA biogenesis, stability, function (e.g., as miRNA sponges), and detection technologies (e.g., RNA-Seq, qRT-PCR) are also included. How data was gathered: The data were systematically gathered from published peer-reviewed literature. The process involved identifying relevant studies, extracting key findings on circRNA expression, function, and diagnostic/therapeutic potential, and organizing them into a structured format to facilitate the analysis presented in the review. Why this data is valuable: This structured dataset provides the empirical foundation for the review's conclusions regarding the significant translational potential of circRNAs in non-cancerous diseases. It highlights the advantages of circRNAs over traditional biomarkers, including their high stability, tissue specificity, and presence in various biofluids. The dataset enables transparency, reproducibility, and serves as a valuable resource for researchers and clinicians interested in the development of novel non-invasive diagnostic and monitoring tools
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Steps to reproduce
This dataset supports the narrative review on circRNAs in non-cancerous diseases. To reproduce the analysis and conclusions: 1. Refer to the main manuscript ("The Translational Potential of Circulating circRNAs...") for the conceptual framework and interpretation. 2. The accompanying data files (e.g., circRNA_summary_tables.xlsx) contain the structured evidence base, including key circRNAs, their associated diseases, expression patterns, and proposed functions (e.g., circHIPK3 in myocardial infarction, circ_0088036 in rheumatoid arthritis). 3. The findings and correlations discussed in the review, such as the stability of circRNAs in peripheral blood and their utility as miRNA sponges in disease pathways, are derived from the synthesis of the primary studies compiled within this dataset.