Nature Protocols, Journal Year: 2023, Volume and Issue: 18(6), P. 1795 - 1813
Published: April 12, 2023
Language: Английский
Nature Protocols, Journal Year: 2023, Volume and Issue: 18(6), P. 1795 - 1813
Published: April 12, 2023
Language: Английский
Nature Reviews Clinical Oncology, Journal Year: 2021, Volume and Issue: 19(3), P. 188 - 206
Published: Dec. 15, 2021
Language: Английский
Citations
805Annual Review of Cell and Developmental Biology, Journal Year: 2022, Volume and Issue: 38(1), P. 263 - 289
Published: May 25, 2022
Covalently closed, single-stranded circular RNAs can be produced from viral RNA genomes as well the processing of cellular housekeeping noncoding and precursor messenger RNAs. Recent transcriptomic studies have surprisingly uncovered that many protein-coding genes subjected to backsplicing, leading widespread expression a specific type (circRNAs) in eukaryotic cells. Here, we discuss experimental strategies used discover characterize diverse circRNAs at both genome individual gene scales. We further highlight current understanding how are generated mature transcripts function. Some act impact regulation by serving decoys or competitors for microRNAs proteins. Others form extensive networks ribonucleoprotein complexes encode functional peptides translated response certain stresses. Overall, emerged an important class RNAmolecules physiological processes, including early development, immune responses, neurogenesis, tumorigenesis.
Language: Английский
Citations
177Nature Biotechnology, Journal Year: 2021, Volume and Issue: 39(7), P. 836 - 845
Published: March 11, 2021
Language: Английский
Citations
157Protein & Cell, Journal Year: 2020, Volume and Issue: 12(12), P. 911 - 946
Published: Nov. 1, 2020
Abstract Circular RNA (circRNA) is a novel class of single-stranded RNAs with closed loop structure. The majority circRNAs are formed by back-splicing process in pre-mRNA splicing. Their expression dynamically regulated and shows spatiotemporal patterns among cell types, tissues developmental stages. CircRNAs have important biological functions many physiological processes, their aberrant implicated human diseases. Due to high stability, becoming promising biomarkers diseases, such as cardiovascular autoimmune diseases cancers. In this review, we focus on the translational potential using blood liquid biopsy for We highlight abundant expression, essential significant correlations various components peripheral blood, including whole cells extracellular vesicles. addition, summarize current knowledge circRNA disease diagnosis or prognosis.
Language: Английский
Citations
140Nucleic Acids Research, Journal Year: 2021, Volume and Issue: 49(W1), P. W72 - W79
Published: April 29, 2021
Prediction of protein-RNA interactions is important to understand post-transcriptional events taking place in the cell. Here we introduce catRAPID omics v2.0, an update our web server dedicated computation interaction propensities at transcriptome- and RNA-binding proteome-level 8 model organisms. The accepts multiple input protein or RNA sequences computes their scores on updated precompiled libraries. Additionally, it now possible predict between a custom set set. Considerable effort has been put into generation new database motifs that are searched within predicted targets proteins. In this update, sequence fragmentation scheme fragment module included, which allows handle long linear RNAs analyse circular RNAs. For top-scoring pairs, shows binding sites both reports whether conserved orthologous pairs. v2.0 powerful tool for characterization classification RNA-protein freely available http://service.tartaglialab.com/page/catrapid_omics2_group along with documentation tutorial.
Language: Английский
Citations
126Oncogene, Journal Year: 2023, Volume and Issue: 42(38), P. 2783 - 2800
Published: Aug. 16, 2023
Abstract To date, thousands of highly abundant and conserved single-stranded RNA molecules shaped into ring structures (circRNAs) have been identified. CircRNAs are multifunctional that shown to regulate gene expression transcriptionally post-transcriptionally exhibit distinct tissue- development-specific patterns associated with a variety normal disease conditions, including cancer pathogenesis. Over the past years, due their intrinsic stability resistance ribonucleases, particular attention has drawn use as reliable diagnostic prognostic biomarkers in diagnosis, treatment, prevention. However, there some critical caveats utility clinic. Their circular shape limits annotation complete functional elucidation is lacking. This makes detection biomedical application still challenging. Herein, we review current knowledge circRNA biogenesis function, involvement tumorigenesis potential cancer-targeted therapy.
Language: Английский
Citations
102Functional & Integrative Genomics, Journal Year: 2023, Volume and Issue: 23(1)
Published: Jan. 10, 2023
Language: Английский
Citations
93Advanced Science, Journal Year: 2022, Volume and Issue: 9(8)
Published: Jan. 24, 2022
Previous studies have identified the regulatory roles of circular RNAs (circRNAs) in human cancers. However, molecular mechanisms circRNAs hepatocellular carcinoma (HCC) remain largely unknown. This study screens expression profile HCC and identifies circVAMP3 as a significantly downregulated circRNA tissues. patients with low present poor prognosis. negatively regulates proliferation metastasis cells vitro vivo by driving phase separation CAPRIN1 promoting stress granule formation cells, which can downregulate protein level Myc proto-oncogene inhibiting c-Myc translation. Furthermore, is widely expressed many tissues related Therefore, potential prognostic indicator for may serve therapeutic target treatment.
Language: Английский
Citations
81Nature Cell Biology, Journal Year: 2023, Volume and Issue: 25(1), P. 1 - 5
Published: Jan. 1, 2023
Language: Английский
Citations
76Frontiers in Genetics, Journal Year: 2023, Volume and Issue: 14
Published: March 13, 2023
RNA sequencing (RNA-seq) has become an exemplary technology in modern biology and clinical science. Its immense popularity is due large part to the continuous efforts of bioinformatics community develop accurate scalable computational tools analyze enormous amounts transcriptomic data that it produces. RNA-seq analysis enables genes their corresponding transcripts be probed for a variety purposes, such as detecting novel exons or whole transcripts, assessing expression alternative studying splicing structure. It can challenge, however, obtain meaningful biological signals from raw because scale well inherent limitations different technologies, amplification bias biases library preparation . The need overcome these technical challenges pushed rapid development tools, which have evolved diversified accordance with technological advancements, leading current myriad tools. These combined diverse skill sets biomedical researchers, help unlock full potential RNA-seq. purpose this review explain basic concepts define discipline-specific jargon.
Language: Английский
Citations
73