circRNA Detection Research Articles

A dual-signal biosensor based on surface-enhanced Raman spectroscopy for high-sensitivity quantitative detection and imaging of circRNA in living cells

Circular RNAs (circRNAs) are non-coding RNAs that play key roles in the development and progression of cancer through various mechanisms of action, making them promising biomarkers for cancer diagnosis, prognosis, and treatment. In the present study, a biosensor based on surface-enhanced Raman spectroscopy (SERS) was developed for rapid, simple, and sensitive quantitative detection of intracellular circRNAs for the first time. A dual-signal SERS nanoprobe with a 4MBN and ROX signal molecule was fabricated, and the ROX signal intensity was used to determine the concentration of target circSATB2. 4MBN was used as an internal standard to calibrate the ROX signal, thereby achieving highly sensitive and reliable detection of the target circRNA with a limit of detection of 0.043 pM. Furthermore, the relatively high expression of circSATB2 in lung cancer cells compared to that in normal lung epithelial cells was successfully characterized by the proposed SERS imaging method, which is consistent with the results of standard reverse transcription-polymerase chain reaction (RT-PCR). Monitoring of specific circRNAs using this SERS-based biosensor is a promising method for cancer diagnosis and gene therapy.

Quantitative detection of circular RNA and microRNA at point-of-care using droplet digital CRISPR/Cas13a platform

Circular RNA (circRNA) and microRNA (miRNA) are both non-coding RNAs (ncRNAs) that serve as biomarkers for cancer diagnosis and prognosis. Quantitative detection of these ncRNAs is of particular importance to elucidate the functional mechanisms and evaluate their potential as biomarkers. However, the inherent structures of circRNA and miRNA are different from the mRNA, conventional qRT-PCR is unsuitable for the detection of these ncRNAs. Here, we propose a sensitive method for quantitative detection of circRNA and miRNA using polydisperse droplet digital CRISPR/Cas13a (PddCas13a). It can achieve limits of detection (LOD) as low as ∼10 aM without polymerase-based amplification. To efficiently detect the circRNA and miRNA in real samples, we use a chemically modified crRNA to enhance the stability of crRNA and improve the performance of Cas13a in complex environments containing contaminants. By integrating an extraction-free procedure with PddCas13a, we experimentally demonstrate the applicability of PddCas13a by testing clinical samples. Furthermore, we develop an automated and portable instrument for PddCas13a and verify its applicability for the detection of circRNA and miRNA from exosomes in point-of-care (POC) setting. This is the first report to detect the circRNA and miRNA simultaneously in POC setting. We envision this platform could promote the research of ncRNAs.

Detection of colorectal cancer associated circular RNAs hsa_circ_0031263, hsa_circ_0072715, and hsa_circ_0136666 in plasma with nanowire chips

Rationale: Colorectal cancer (CRC) is one of the most prevalent oncological diseases with high mortality. Invasive optical (endoscopic) colono- scopy has been recognized as a golden standard for the CRC diagnostics. A promising area is the development of non-invasive tools for CRC diagnosis with circular RNA (circRNA). One of the most sensitive non-invasive tools for detection of cancer RNA markers is considered to be the biosensor methods with the use of nanowire chips with oDNA probes (fragments of DNA oligonucleotides) immobilized on their surface. It has been previously shown that circRNA hsa_circ_0136666_CBC1, hsa_circ_0031263_CBC1, and hsa_circ_0072715_CBC1 are associated with CRC. Aim: To determine the lower limit of concentration sensitivity of detection of CRC-associated circRNA with nanowire chips with immobilized oDNA probes, to demonstrate the usability of these chips for non-invasive detection of circRNA in plasma in the CRC diagnostics, and to establish the potential for the use of nanowire chips for the early CRC diagnosis. Methods: To ensure biospecific binding of the circRNA hsa_circ_0136666_CBC1, hsa_circ_0031263_CBC1, and hsa_circ_0072715_CBC1 (the CRC markers), oDNA probes with the nucleotide sequences complementary to the target circRNA have been immobilized on the nanowire surface. At the study step 1, we detected the lower concentration limit for detection of the target molecules with the use of their analogues, i.e. synthetic model oDNA with the nucleotide sequences complementary to oDNA probes. At the study step 2, we used the nanowire chips with immobilized oDNA probes to detect the circRNA in plasma of the patients with confirmed CRC. Plasma samples from non-cancer patients were used as controls. Results: The lower concentration limit for the detection of DNA analogues of the circRNA hsa_circ_0136666_CBC1, hsa_circ_0031263_CBC1, and hsa_circ_0072715_CBC1 with nanowire chips with oDNA probes was 10-16 М. The analysis of total RNA isolated from plasma of the CRC patients showed a significant increase in the signal from the sensory elements of the nanowire chip. The analysis of plasma samples from the non-cancer patients, the nanowire signal changes were non-significant indicating the absence of detectable concentrations of the circRNA in plasma of the non-cancer patients. Conclusion: We have identified the minimal detectable concentration of the circRNA hsa_circ_0136666_CBC1, hsa_circ_0031263_CBC1, and hsa_circ_0072715_CBC1, associated to the development of CRC, with nanowire chips with immobilized oDNA probes: it was 10-16 М. The experiment showed the usability of such nanowire chips for non-invasive detection of the given circRNA markers in total RNA samples isolated from plasma of CRC patients.

An updated resource for the detection of protein-coding circRNA with CircProPlus

Protein-encoding circular RNAs (circRNAs) are newly identified RNA molecules characterized by intense interaction with translating ribosome. Emerging evidence has implicated physiological and pathological significance of these non-canonical RNAs, yet a large body of them remains unidentified. Due to limited tools at hand, we developed CircProPlus, an automated computational pipeline for de novo detection of translated circRNAs. In comparison to previously established CircPro, CircProPlus adjusts the overall workflow and integrates more robust implements for achieving easier accessibility, higher flexibility and productivity. In present study, we tested the performance of CircProPlus when using different circRNA-detecting implements (i.e., CIRI2, CirComPara2) in the evaluation of coding ability of circRNAs. Results showed that CirComPara2, a state-of-the-art algorithm, consistently outperformed CIRI2 when coupled with CircProPlus in testing real data collected from different RNA libraries and species, which highlighted its potency in data mining of circRNAs with protein-coding potential.

CircCNNs, a convolutional neural network framework to better understand the biogenesis of exonic circRNAs

Circular RNAs (circRNAs) as biomarkers for cancer detection have been extensively explored, however, the biogenesis mechanism is still elusive. In contrast to linear splicing (LS) involved in linear transcript formation, the so-called back splicing (BS) process has been proposed to explain circRNA formation. To investigate the potential mechanism of BS via the machine learning approach, we curated a high-quality BS and LS exon pairs dataset with evidence-based stringent filtering. Two convolutional neural networks (CNN) base models with different structures for processing splicing junction sequences including motif extraction were created and compared after extensive hyperparameter tuning. In contrast to the previous study, we are able to identify motifs corresponding to well-established BS-associated genes such as MBNL1, QKI, and ESPR2. Importantly, despite prevalent high false positive rates in existing circRNA detection pipelines and databases, our base models demonstrated a notable high specificity (greater than 90%). To further improve the model performance, a novo fast numerical method was proposed and implemented to calculate the reverse complementary matches (RCMs) crossing two flanking regions and within each flanking region of exon pairs. Our CircCNNs framework that incorporated RCM information into the optimal base models further reduced the false positive rates leading to 88% prediction accuracy.

Three-way junction-mediated three-letter coded SDA cascade CRISPR/Cas12a system for circRNA detection

Circular RNAs (circRNAs), a special type of non-coding RNAs with covalently closed circular structure, have emerged as promising liquid biopsy biomarker. However, the precise detection of circRNAs is severely hampered by interference from homologous linear RNAs, posing a significant obstacle for their applications in molecular diagnostics. Herein, a strategy named three-way junction (TWJ)-mediated three-letter coded strand displacement amplification (SDA) cascade CRISPR/Cas12a system (TTSC) has been devised to achieve precise detection of circRNAs. Three-letter coded SDA (TC-SDA) has been originally designed in this study for eliminating undesired interference from linear RNA and performing dual functionality in both discrimination and amplification. With this design, the proposed strategy elegantly distinguishes between circRNA and homologous linear RNA through proximity effect of TWJ structure and non-specific amplification blocking ability of the three-letter code. Ultimately, this strategy successfully identified circRNA down to 0.1 % abundance. In addition, benefiting from the synergistically accelerated multiple signal amplification in one step, TTSC strategy exhibited good linear relationship of 0.5–1000 pM with a detection limit of 80.6 fM. Notably, the recovery test indicated that the proposed strategy has good prospects for clinical applications. Therefore, TTSC is expected to provide an ideal platform for circRNA detection in biotechnology research and molecular diagnostics.

Collaborative CRISPR-Cas System-Enabled Detection of Circulating Circular RNA for Reliable Monitoring of Acute Myocardial Infarction.

Acute myocardial infarction (AMI) is one of the major causes of death worldwide, posing significant global health challenges. Circular RNA (circRNA) has recently emerged as a potential diagnostic biomarker for AMI, providing valuable information for timely medical care. In this work, a new electrochemical method for circRNA detection by engineering a collaborative CRISPR-Cas system is developed. This system integrates the unique circRNA-targeting ability with cascade trans-cleavage activities of Cas effectors, using an isothermal primer exchange reaction as the bridge. Using cZNF292, a circulating circRNA biomarker for AMI is identified by this group; as a model, the collaborative CRISPR-Cas system-based method exhibits excellent accuracy and sensitivity with a low detection limit of 2.13 × 10-15 m. Moreover, the method demonstrates a good diagnostic performance for AMI when analyzing whole blood samples. Therefore, the method may provide new insight into the detection of circRNA biomarkers and is expected to have great potential in AMI diagnosis in the future.

Investigation of the Circular Transcriptome in Alzheimer’s Disease Brain

Circular RNAs (circRNAs) are a subclass of non-coding RNAs which have demonstrated potential as biomarkers for Alzheimer’s disease (AD). In this study, we conducted a comprehensive exploration of the circRNA transcriptome within AD brain tissues. Specifically, we assessed circRNA expression patterns in the dorsolateral prefrontal cortex collected from nine AD-afflicted individuals and eight healthy controls. Utilising two circRNA detection tools, CIRI2 and CIRCexplorer2, we detected thousands of circRNAs and performed a differential expression analysis. CircRNAs which exhibited statistically significantly differential expression were identified as AD-specific differentially expressed circRNAs. Notably, our investigation revealed 120 circRNAs with significant upregulation and 1325 circRNAs displaying significant downregulation in AD brains when compared to healthy brain tissue. Additionally, we explored the expression profiles of the linear RNA counterparts corresponding to differentially expressed circRNAs in AD-afflicted brains and discovered that the linear RNA counterparts exhibited no significant changes in the levels of expression. We used CRAFT tool to predict that circUBE4B had potential to target miRNA named as hsa-miR-325-5p, ultimately regulated CD44 gene. This study provides a comprehensive overview of differentially expressed circRNAs in the context of AD brains, underscoring their potential as molecular biomarkers for AD. These findings significantly enhance our comprehension of AD’s underlying pathophysiological mechanisms, offering promising avenues for future diagnostic and therapeutic developments.

The sensing of circRNA with tetrahedral DNA nanostructure modified microfluidic chip

BackgroundCircular ribonucleic acids (circRNAs) are a type of covalently closed noncoding RNA with disease-relevant expressions, making them promising biomarkers for diagnosis and prognosis. Accurate quantification of circRNA in biological samples is a necessity for their clinical application. So far, methods developed for detecting circRNAs include northern blotting, reverse transcription quantitative polymerase chain reaction (RT-qPCR), microarray analysis, and RNA sequencing. These methods generally suffer from disadvantages such as large sample consumption, cumbersome process, low selectivity, leading to inaccurate quantification of circRNA. It was thought that the above drawbacks could be eliminated by the construction of a microfluidic sensor. ResultsHerein, for the first time, a microfluidic sensor was constructed for circRNA analysis by using tetrahedral DNA nanostructure (TDN) as the skeleton for recognition probes and target-initiated hybridization chain reaction (HCR) as the signal amplification strategy. In the presence of circRNA, the recognition probe targets the circRNA-specific backsplice junction (BSJ). The captured circRNA then triggers the HCR by reacting with two hairpin species whose ends were labeled with 6-FAM, producing long DNA strands with abundant fluorescent labels. By using circ_0061276 as a model circRNA, this method has proven to be able to detect circRNA of attomolar concentration. It also eliminated the interference of linear RNA counterpart, showing high selectivity towards circRNA. The detection process can be implemented isothermally and does not require expensive complicated instruments. Moreover, this biosensor exhibited good performance in analyzing circRNA targets in total RNA extracted from cancer cells. SignificanceThis represents the first microfluidic system for detection of circRNA. The biosensor showed merits such as ease of use, low-cost, small sample consumption, high sensitivity and specificity, and good reliability in complex biological matrix, providing a facile tool for circRNA analysis and related disease diagnosis in point-of care application scenes.

Optical Nanobiosensor Based on Surface-Enhanced Raman Spectroscopy and Catalytic Hairpin Assembly for Early-Stage Lung Cancer Detection via Blood Circular RNA.

Lung cancer has become the leading cause of cancer-related deaths globally. However, early detection of lung cancer remains challenging, resulting in poor outcomes for the patients. Herein, we developed an optical biosensor integrating surface-enhanced Raman spectroscopy (SERS) with a catalyzed hairpin assembly (CHA) to detect circular RNA (circRNA) associated with tumor formation and progression (circSATB2). The signals of the Raman reporter were considerably enhanced by generating abundant SERS "hot spots" with a core-shell nanoprobe and 2D SERS substrate with calibration capabilities. This approach enabled the sensitive (limit of detection: 0.766 fM) and reliable quantitative detection of the target circRNA. Further, we used the developed biosensor to detect the circRNA in human serum samples, revealing that patients with lung cancer had higher circRNA concentrations than healthy subjects. Moreover, we characterized the unique circRNA concentration profiles of the early stages (IA and IB) and subtypes (IA1, IA2, and IA3) of lung cancer. These results demonstrate the potential of the proposed optical sensing nanoplatform as a liquid biopsy and prognostic tool for the early screening of lung cancer.

A programmable quantum dot nanosensor guided by three-way junction skeleton-mediated cascade signal amplification for sensitive detection of circRNAs in breast cancer

Circular RNAs (circRNAs) are endogenous covalent circular molecules that can regulate various biological processes in eukaryotes, and their dysregulation is associated with tumorigenesis. Herein, we demonstrate the construction of a programmable quantum dot (QD) nanosensor guided by three-way junction (TWJ) skeleton-mediated cascade signal amplification for sensitive detection of circRNA in clinical breast tissues. The TWJ probe contains a TWJ primer and a TWJ template. The presence of circRNA can specifically hybridize with TWJ probe to form a stable TWJ skeleton, initiating cascade signal amplification to produce abundant linker probes. The resultant linker probes can bind with Cy5-modified signal probes and biotinylated capture probes to yield the sandwich duplexes. Eventually, the immobilization of sandwich duplexes on the 605QD surface yields the 605QD-dsDNA-Cy5 nanoassembly, resulting in effective fluorescence resonance energy transfer (FRET). This nanosensor is free from exogenous reverse transcription primers and complicated probes design, and it exhibits high amplification efficiency, single-base mismatch specificity, and near-zero background signal. It can detect circRNA with attomolar sensitivity, measure endogenous circRNA at the single-cell level, and discriminate circRNA level in breast cancer tissues from adjacent normal tissues. Moreover, this nanosensor can be expanded to detect other circRNAs (e.g., circHIPK3) by easily changing the corresponding target recognition sequences of TWJ probes, with potential applications in biomedical research and molecular diagnosis.

CIRI-Deep Enables Single-Cell and Spatial Transcriptomic Analysis of Circular RNAs with Deep Learning.

Circular RNAs (circRNAs) are a crucial yet relatively unexplored class of transcripts known for their tissue- and cell-type-specific expression patterns. Despite the advances in single-cell and spatial transcriptomics, these technologies face difficulties in effectively profiling circRNAs due to inherent limitations in circRNA sequencing efficiency. To address this gap, a deep learning model, CIRI-deep, is presented for comprehensive prediction of circRNA regulation on diverse types of RNA-seq data. CIRI-deep is trained on an extensive dataset of 25 million high-confidence circRNA regulation events and achieved high performances on both test and leave-out data, ensuring its accuracy in inferring differential events from RNA-seq data. It is demonstrated that CIRI-deep and its adapted version enable various circRNA analyses, including cluster- or region-specific circRNA detection, BSJ ratio map visualization, and trans and cis feature importance evaluation. Collectively, CIRI-deep's adaptability extends to all major types of RNA-seq datasets including single-cell and spatial transcriptomic data, which will undoubtedly broaden the horizons of circRNA research.

A one-pot CRISPR-RCA strategy for ultrasensitive and specific detection of circRNA.

Accurate and precise detection of circular RNA (circRNA) is imperative for its clinical use. However, the inherent challenges in circRNA detection, arising from its low abundance and potential interference from linear isomers, necessitate innovative solutions. In this study, we introduce, for the first time, the application of the CRISPR/Cas12a system to establish a one-pot, rapid (30 minutes to 2 hours), specific and ultrasensitive circRNA detection strategy, termed RETA-CRISPR (reverse transcription-rolling circle amplification (RT-RCA) with the CRISPR/Cas12a). This method comprises two steps: (1) the RT-RCA process of circRNA amplification, generating repeat units containing the back-splicing junction (BSJ) sequences; and (2) leveraging the protospacer adjacent motif (PAM)-independent Cas12a/crRNA complex to precisely recognize target sequences with BSJ, thereby initiating the collateral cleavage activity of Cas12a to generate a robust fluorescence signal. Remarkably, this approach exhibits the capability to detect circRNAs at a concentration as low as 300 aM. The sensor has been successfully employed for accurate detection of a potential hepatocellular carcinoma biomarker hsa_circ_0001445 (circRNA1445) in various cell lines. In conclusion, RETA-CRISPR seamlessly integrates the advantages of exponential amplification reaction and the robust collateral cleavage activity of Cas12a, positioning it as a compelling tool for practical CRISPR-based diagnostics.

State-of-the-Art Circular RNA Analytics Using the Circtools Software Suite.

Circular RNAs (circRNAs) are types of RNA molecules that have been discovered relatively recently and have been found to be widely expressed in eukaryotic cells. Unlike canonical linear RNA molecules, circRNAs form a covalently closed continuous loop structure without a 5' or 3' end. They are generated by a process called back-splicing, in which a downstream splice donor site is joined to an upstream splice acceptor site. CircRNAs have been found to play important roles in various biological processes, including gene regulation, alternative splicing, and protein translation. They can act as sponges for microRNAs or RNA-binding proteins and can also encode peptides or proteins. Additionally, circRNAs have been implicated in several diseases, including cancer, neurological disorders, and cardiovascular diseases.This protocol provides all necessary steps to detect and analyze circRNAs in silico from RNA sequencing data using the circtools circRNA analytics software suite. The protocol starts from raw sequencing data with circRNA detection via back-splice events and includes statistical testing of circRNAs as well as primer design for follow-up wet lab experiments.

Engineering Synthetic circRNAs for Efficient CNS Expression.

Circular RNAs (circRNAs) have recently emerged as a promising modality for gene and RNA-based therapies. They are more stable than their linear counterpart and can be designed for efficient expression in different cell and tissue types. In this chapter, we developed different backsplicing circRNA cassettes that can enable efficient gene expression in various cell and tissue types. Furthermore, we packaged cassettes encoding circRNAs into adeno-associated viral (AAV) vectors that can be delivered via intracerebroventricular (ICV) injections to achieve expression in murine brain tissue. We provide detailed methods for the design of backsplicing circRNAs, circRNA detection, and generation of AAV-circRNA vectors for CNS dosing and expression in mice.

A DNA octahedral amplifier for endogenous circRNA detection and bioimaging in living cells and its biomarker study.

The discovery of reliable biomarkers is essential for early diagnosis, treatment, and prognosis assessment of diseases. Many research studies have shown that circRNA is a potential biomarker for diagnosis and prognosis of diseases. However, in situ monitoring circRNA in live cells is still a challenge at present, which brings a major limitation to the development and verification of circRNA as a disease biomarker. In this study, a catalytic hairpin assembly (CHA) reaction-based DNA octahedral amplifier (DOA) was developed for fluorescence resonance energy transfer (FRET) detection and bioimaging of circRNA in living cells. The DOA was first produced by self-assembling a DNA octahedron with six customized single-stranded DNAs, and two hairpins H1 (Cy3) and H2 (Cy5) were then hybridized to four vertices of the DNA octahedron. Idiopathic pulmonary fibrosis (IPF)-related circHIPK3 was used as the target. Once the CHA reaction from H1 and H2 on DOA was activated by a sequence-specific back-splice junction (BSJ) of circHIPK3, a significant FRET signal can be obtained from Cy3 to Cy5. The circHIPK3 was subsequently released to cause the next CHA reaction. Because the DOA has the advantages of the spatial-confinement effect, resistance to nuclease degradation and easy penetration into cells, rapid and excellent signal amplification FRET detection and bioimaging of endogenous circHIPK3 can be achieved in various cells. This study provides a high-precision assay platform to explore the possibility of using circRNA as a biomarker, and it is valuable for circRNA-related early diagnosis and treatment of diseases.

TCCIA: a comprehensive resource for exploring CircRNA in cancer immunotherapy

BackgroundImmunotherapies targeting immune checkpoints have gained increasing attention in cancer treatment, emphasizing the need for predictive biomarkers. Circular RNAs (circRNAs) have emerged as critical regulators of tumor immunity, particularly in...

Circular RNA: A new expectation for cardiovascular diseases.

Circular RNA (circRNA) is a class of RNA with the 5' and 3' ends connected covalently to form a closed loop structure and characterized by high stability, conserved sequences and tissue specificity, which is caused by special reverse splicing methods. Currently, it has become a hot spot for research. With the discovery of its powerful regulatory functions and roles, the molecular mechanisms and future value of circRNA in participating in and regulating biological and pathological processes are becoming increasingly apparent. Among them is the increasing prevalence of cardiovascular diseases (CVDs). Many studies have elucidated that circRNA plays a crucial role in the development and progression of CVDs. Therefore, circRNA shows its advantages and brilliant expectations in the field of CVDs. In this review, we describe the biogenesis, bioinformatics detection and function of circRNA and discuss the role of circRNA and its effects on CVDs, including atherosclerosis, myocardial infarction, cardiac hypertrophy and heart failure, myocardial fibrosis, cardiac senescence, pulmonary hypertension, and diabetic cardiomyopathy by different mechanisms. That shows circRNA advantages and brilliant expectations in the field of CVDs.

Diagnostic value of plasma circular RNA based on droplet digital polymerase chain reaction in lung adenocarcinoma.

Plasma circular (circ)RNAs detected by droplet digital polymerase chain reaction (ddPCR) may be ideal markers for liquid biopsy. However, ddPCR detection of circRNAs in plasma for diagnosis of lung adenocarcinoma has been rarely reported. An RNA sequencing analysis was performed in plasma from patients with early lung adenocarcinoma and healthy individuals. Droplet digital PCR was used to verify the differentially expressed genes. The copy numbers of circle RNALZIC (circLZIC)and circle RNACEP350 (circCEP350) in the plasma of lung adenocarcinoma patients were significantly higher than in plasma of healthy people, and the copy numbers in postoperative plasma of the same patients were significantly lower than those in preoperative plasma. CircLZIC and circCEP350 alone and in combination had diagnostic value in lung adenocarcinoma and early lung adenocarcinoma. CircLZIC and circCEP350 had more binding sites with multiple microRNAs. Their target genes were enriched in several signaling pathways. The copy numbers of circLZIC and circCEP350 were higher in plasma of lung adenocarcinoma patients than in plasma of healthy controls, significantly correlated with tumor size and TNM stage, and closely related to the occurrence and development of tumors. These circRNAs may serve as molecular markers for the diagnosis of lung adenocarcinoma.

1256P Value of detection of peripheral blood circRNA based on digital PCR in the diagnosis of lung adenocarcinoma

1256P Value of detection of peripheral blood circRNA based on digital PCR in the diagnosis of lung adenocarcinoma