Circular RNAs in diseases

The paper identifies FUST-1 as a regulator of circRNA formation in C. elegans and demonstrates an autoregulation loop between its isoforms.

The paper identifies reverse complementary matches (RCMs) in C. elegans circRNAs that facilitate both back-splicing and exon-skipping, showing their coupled occurrence in zip-2 gene splicing.

The paper identifies NOVA2 as a key regulator of circRNA biogenesis in the developing mouse brain, showing its role in enhancing circRNA levels through specific binding sites.

This study shows that circRNA overexpression can produce false translation signals from linear RNA byproducts, highlighting the need for rigorous controls in circRNA research.

JEDI predicts circular RNA from nucleotide sequences using attention mechanisms and cross-attention layers, outperforming existing methods and enabling backsplicing hotspot discovery.

This study shows that circNFATc3 affects cancer cell proliferation, migration, and oxidative phosphorylation through gain and loss of function experiments.

riboCIRC provides a database of translatable circRNAs with computational predictions, experimental validations, and cross-species conservation analysis.

DEBKS detects differentially expressed circular RNAs by analyzing back-splicing events in RNA-seq data, showing efficiency and accuracy through real and simulated data.

The paper investigates circRNA structure and function, finding internal complementary base-pairing sequences and proposing an 'open-close effect' hypothesis for circRNA transitions.

The paper discusses the challenges of distinguishing circRNA translation signal from noise and outlines experimental guidelines for studying circRNA translation.

The paper identifies circTulp4 as a circRNA that regulates its parental gene Tulp4, affecting nervous system function and potentially contributing to Alzheimer's disease pathogenesis.

This study identifies SFPQ as a key regulator of circRNA biogenesis by maintaining long-intron splicing and preventing aberrant splicing events.

This study compares shRNA and CRISPR/Cas13d screens for circRNA function, finding that optimized CRISPR/Cas13d reduces false positives and identifies true functional circRNAs.

The paper identifies and characterizes circular RNAs in rat using multiple computational pipelines and validates some candidates through experimental methods.

This study uses CRISPR-Cas13 to functionally screen circRNAs, identifying roles in cell growth and development.

The paper identifies circRNA-RBP interactions in cancer, showing their role in circRNA biogenesis and cancer gene expression, with implications for bladder cancer prognosis.

The paper identifies circZNF827 as a repressor of neuronal differentiation by forming a transcription-inhibitory complex with hnRNP-K/L proteins and modulating NGFR expression.

This study identifies CircGLCE as a regulator of intervertebral disc degeneration by modulating apoptosis and matrix degradation via miR-587/STAP1.

This study identifies a circular RNA, circAβ-a, that translates into Aβ175, which is processed into Aβ peptides, revealing an alternative pathway for Aβ biogenesis in Alzheimer's disease.

The paper identifies circRNA expression patterns in human epicardial adipose tissue (EAT) from heart failure and non-heart failure groups, finding hsa_circ_0005565 associated with metabolic processes and insulin resistance.

This paper describes a method to specifically knock down circRNAs in vivo and shows that circRNA downregulation affects fly development and transcriptome.

The paper identifies differentially expressed circRNAs in AD brain regions and links their expression patterns to disease severity and pathways.

The paper identifies mammalian-wide interspersed repeats (MIRs) as facilitators of ciRS-7 circular RNA biosynthesis, revealing a new mechanism for circRNA formation.

Rcirc is an R package that provides downstream analysis and visualization of circRNA data, including coding ability assessment and automated visualization features.

GCNCDA predicts circRNA-disease associations using a graph convolutional network, achieving high accuracy and confirming predictions with literature.

The paper identifies small circRNAs with self-cleaving ribozymes in metazoan transcriptomes and shows their biosynthesis involves tRNA ligases.

The paper identifies circRNA dysregulation in ASD and links it to circRNA-microRNA-mRNA regulatory networks involving ASD risk genes.

This paper introduces circDBG, a method for detecting circular RNA using de Bruijn graphs, showing improved accuracy, efficiency, and sensitivity compared to existing methods.

The paper identifies mecciRNAs, circular RNAs from the mitochondrial genome that assist in the mitochondrial import of nuclear-encoded proteins by acting as molecular chaperones.