ArticleInternational journal of oncology2017
Comprehensive analysis of circRNA expression profiles in humans by RAISE.
Article in International journal of oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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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.
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Who cites it
24 citing papers in PubMed.
- Recent advances in the detection and functional analysis of circRNAs with short-read RNA sequencing-based methods.Molecular biology reports · 2026Review
- Role of Circular RNAs in Liver Diseases.International journal of medical sciences · 2026Review
- Dysfunctional circular RNA network in major depressive disorder: dissecting the cell identity and potential clinical applications.Molecular psychiatry · 2026Review
- Reference-guided detection of the transcriptome reveals circular RNA-related competing endogenous RNA networks in response to three respiration pathogens in pig lungs.Virology journal · 2025Article
- Unveiling Pharmacogenomics Insights into Circular RNAs: Toward Precision Medicine in Cancer Therapy.Biomolecules · 2025Review
- Circular RNAs: Biogenesis and Functions : Circular RNA detection and bioinformatic analysis.Advances in experimental medicine and biology · 2025Review
- Circulating non-coding RNA biomarkers of endocrine tumours.Nature reviews. Endocrinology · 2024Review
- Computational approaches and challenges in the analysis of circRNA data.BMC genomics · 2024Review
- New insight into circRNAs: characterization, strategies, and biomedical applications.Experimental hematology & oncology · 2023Review
- Computational approaches for circRNAs prediction and in silico characterization.Briefings in bioinformatics · 2023Review
- A new perspective on Alzheimer's disease: microRNAs and circular RNAs.Frontiers in genetics · 2023Review
- Reconstruction of Full-Length circRNA Sequences Using Chimeric Alignment Information.International journal of molecular sciences · 2022Article
- Exploring the cellular landscape of circular RNAs using full-length single-cell RNA sequencing.Nature communications · 2022Article
- Circulating Noncoding RNAs in Pituitary Neuroendocrine Tumors-Two Sides of the Same Coin.International journal of molecular sciences · 2022Review
- Sensitive, reliable and robust circRNA detection from RNA-seq with CirComPara2.Briefings in bioinformatics · 2022Article
- The bioinformatics toolbox for circRNA discovery and analysis.Briefings in bioinformatics · 2021Review
- The emerging prospects of circular RNA in tumor immunity.Annals of translational medicine · 2020Review
- Transcriptomic Profiling of Circular RNA in Different Brain Regions of Parkinson's Disease in a Mouse Model.International journal of molecular sciences · 2020Article
- Comprehensive circRNA Expression Profile and Construction of circRNAs-Related ceRNA Network in a Mouse Model of Autism.Frontiers in genetics · 2020Article
- FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification.International journal of genomics · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circular RNAs (circRNAs) are pervasively expressed circles of non‑coding RNAs. Even though many circRNAs have been reported in humans, their expression patterns and functions remain poorly understood. In this study, we employed a pipeline named RAISE to detect circRNAs in RNA‑seq data. RAISE can fully characterize circRNA structure and abundance. We evaluated inter-individual variations in circRNA expression in humans by applying this pipeline to numerous non‑poly(A)-selected RNA‑seq data. We identified 59,128 circRNA candidates in 61 human liver samples, with almost no overlap in the circRNA of the recruited samples. Approximately 89% of the circRNAs were detected in one or two samples. In comparison, 10% of the linear mRNAs and non‑coding RNAs were detected in each sample. We estimated the variation in other tissues, especially the circRNA high-abundance tissues, in advance. Only 0.5% of the 50,631 brain circRNA candidates were shared among the 30 recruited brain samples, which is similar to the proportion in liver. Moreover, we found inter- and intra-individual diversity in circRNAs expression in the granulocyte RNA‑seq data from seven individuals sampled 3 times at one-month intervals. Our findings suggest that careful consideration of inter-individual diversity is required when extensively identifying human circRNAs or proposing their use as potential biomarkers and therapeutic targets in disease.
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