ArticleJournal of cellular and molecular medicine2022
Circular RNAs in peripheral blood mononuclear cells are more stable than linear RNAs upon sample processing delay.
Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Circular RNAs in ferroptosis regulation and tumor progression of gynecological and breast cancers: molecular mechanisms and therapeutic potential.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- A brain-enriched circRNA blood biomarker can predict response to SSRI antidepressants.Molecular psychiatry · 2026Article
- Hsa-circ_0081481-miR 3960-FBXO24 regulatory axis in non-obstructive azoospermia identifies potential biomarkers of spermatogenic failure.Scientific reports · 2026Article
- AQUARIUM_HB: a bioinformatics pipeline for human blood circular RNA analysis.Non-coding RNA research · 2026Article
- CircITSN1/EIF4A3/Itsn1 axis mediates postoperative cognitive dysfunction in aged mice: A novel mechanism and therapeutic target.Molecular therapy. Nucleic acids · 2025Article
- Exercise-responsive circTSN as a potential systemic biomarker during COPD rehabilitation.Frontiers in medicine · 2025Article
- The identification of a blood circular RNA signature that differentiates Chikungunya virus infection.Frontiers in genetics · 2025Article
- Diagnostic value and clinical significance of serum miR-4534 combined with transvaginal color Doppler ultrasound in cervical cancer.Discover oncology · 2024Article
- Research trends and hotspots of circular RNA in cardiovascular disease: A bibliometric analysis.Non-coding RNA research · 2024Article
- Article
- Exploring the interplay between PARP1 and circRNA biogenesis and function.Wiley interdisciplinary reviews. RNA · 2023Review
- Circular RNAs in peripheral blood mononuclear cells are more stable than linear RNAs upon sample processing delay.Journal of cellular and molecular medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Circular RNAs (circRNAs) are a novel class of RNAs with closed loop structure. Blood circRNAs are widely acknowledged to be more stable than linear mRNAs, which show promising prospect to be liquid biopsy biomarkers for clinical applications. However, accumulating studies have demonstrated that sample processing delays have profound effects on blood transcriptome expression profiles, wherein knowledge remains elusive about the impacts of prolonged sample processing on blood expression profiles of circRNAs. We collected whole blood samples from three donors and isolated peripheral blood mononuclear cells (PBMCs) at six different incubation time points. We measured total RNA expression profiles using RNA sequencing (RNA-seq) and investigated the differentially expressed circRNAs, mRNAs and lncRNAs upon blood processing delay. Meanwhile, we explored the underlying inducement of aberrant expression of circRNAs against their corresponding mRNA transcripts. Finally, we utilized rMATS-turbo and CIRI-AS, respectively, to screen out differential alternative splicing (AS) events in linear mRNAs and circRNAs. Sample incubation at 4°C lasting to 48 hours (h) led to minimal effects to circRNAs' expression. However, it induced extensive alterations for mRNAs and lncRNAs when the incubation time was beyond 12 h. Additionally, only 2 h processing delays may result in profound impacts on AS events of linear mRNAs, while less impact on the equivalence of circRNAs. Our results suggested that PBMC circRNAs are stable upon sample processing delay, which are more suitable to be liquid biopsy biomarkers.
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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.