ReviewBioMed research international2020
Disease-Associated Circular RNAs: From Biology to Computational Identification.
Review in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Circular RNAs: Unlocking new avenues in cardiometabolic disease management.The Journal of physiology · 2026Review
- CircSPINT2 confers sensitivity to osimertinib via hsa-miR-1296-3p/RBP1 axis and inhibits NSCLC progression.Molecular therapy. Oncology · 2025Article
- Comprehensive circular RNA profiling in various sheep tissues.Scientific reports · 2024Article
- Dynamics and regulatory role of circRNAs in Asian honey bee larvae following fungal infection.Applied microbiology and biotechnology · 2024Article
- A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation.BMC biology · 2024Article
- Review
- Hsa_circ_0001359 in Serum Exosomes: A Promising Marker to Predict Bronchopulmonary Dysplasia in Premature Infants.Journal of inflammation research · 2024Article
- Role of non-coding RNAs in neuroblastoma.Cancer gene therapy · 2023Review
- Circular RNAs in the Origin of Developmental Lung Disease: Promising Diagnostic and Therapeutic Biomarkers.Biomolecules · 2023Review
- CircAMOTL1 RNA and AMOTL1 Protein: Complex Functions ofInternational journal of molecular sciences · 2023Review
- Specific expression and functions of circular RNAs.Cell death and differentiation · 2022Review
- Noncoding RNAs in apoptosis: identification and function.Turkish journal of biology = Turk biyoloji dergisi · 2022Review
- Role of circRNA-miRNA-mRNA interaction network in diabetes and its associated complications.Molecular therapy. Nucleic acids · 2021Review
- Comprehensive Analysis of RNA Expression Profile Identifies Hub miRNA-circRNA Interaction Networks in the Hypoxic Ischemic Encephalopathy.Computational and mathematical methods in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circular RNAs (circRNAs) are endogenous RNAs with a covalently closed continuous loop, generated through various backsplicing events of pre-mRNA. An accumulating number of studies have shown that circRNAs are potential biomarkers for major human diseases such as cancer and Alzheimer's disease. Thus, identification and prediction of human disease-associated circRNAs are of significant importance. To this end, a computational analysis-assisted strategy is indispensable to detect, verify, and quantify circRNAs for downstream applications. In this review, we briefly introduce the biology of circRNAs, including the biogenesis, characteristics, and biological functions. In addition, we outline about 30 recent bioinformatic analysis tools that are publicly available for circRNA study. Principles for applying these computational strategies and considerations will be briefly discussed. Lastly, we give a complete survey on more than 20 key computational databases that are frequently used. To our knowledge, this is the most complete and updated summary on publicly available circRNA resources. In conclusion, this review summarizes key aspects of circRNA biology and outlines key computational strategies that will facilitate the genome-wide identification and prediction of circRNAs.
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Registered trials
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