ArticleiScience2020
Revealing Epigenetic Factors of circRNA Expression by Machine Learning in Various Cellular Contexts.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Functional regulatory mechanisms of circRNAs in bovine adipogenesis.Cytotechnology · 2025Review
- Super-enhancer-mediated circRNAs exhibit high splicing circularization diversity and transcriptional activity.Nucleic acids research · 2025Article
- Unveiling Pharmacogenomics Insights into Circular RNAs: Toward Precision Medicine in Cancer Therapy.Biomolecules · 2025Review
- The crosstalk between alternative splicing and circular RNA in cancer: pathogenic insights and therapeutic implications.Cellular & molecular biology letters · 2024Review
- Optimal design of synthetic circular RNAs.Experimental & molecular medicine · 2024Review
- CircRNA_012164/MicroRNA-9-5p axis mediates cardiac fibrosis in diabetic cardiomyopathy.PloS one · 2024Article
- Exploring the interplay between PARP1 and circRNA biogenesis and function.Wiley interdisciplinary reviews. RNA · 2023Review
- Establishing the contribution of active histone methylation marks to the aging transcriptional landscape of Drosophila photoreceptors.Scientific reports · 2023Article
- Navigating the genomic instability mine field of osteosarcoma to better understand implications of non-coding RNAs.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2022Article
- Circular RNAs as Potential Biomarkers in Breast Cancer.Biomedicines · 2022Review
- Integrative analysis reveals a lineage-specific circular RNA landscape for adipo-osteogenesis of human mesenchymal stem cells.Stem cell research & therapy · 2022Article
- From circRNAs to fusion circRNAs in hematological malignancies.JCI insight · 2021Review
- Identification of Novel RNA Binding Proteins Influencing Circular RNA Expression in Hepatocellular Carcinoma.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circular RNAs (circRNAs) have been identified as naturally occurring RNAs that are highly represented in the eukaryotic transcriptome. Although a large number of circRNAs have been reported, the underlying regulatory mechanism of circRNAs biogenesis remains largely unknown. Here, we integrated in-depth multi-omics data including epigenome, transcriptome, and non-coding RNA and identified candidate circRNAs in six cellular contexts. Next, circRNAs were divided into two classes (high versus low) with different expression levels. Machine learning models were constructed that predicted circRNA expression levels based on 11 different histone modifications and host gene expression. We found that the models achieve great accuracy in predicting high versus low expressed circRNAs. Furthermore, the expression levels of host genes of circRNAs, H3k36me3, H3k79me2, and H4k20me1 contributed greatly to the classification models in six cellular contexts. In summary, all these results suggest that epigenetic modifications, particularly histone modifications, can effectively predict expression levels of circRNAs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.