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IsoCirc catalogs full-length circular RNA isoforms in human transcriptomes

ABSTRACT: isoCirc catalogs full-length circular RNA isoforms in human transcriptomes

PROVIDER: PRJNA594380 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	SRR10612050_1.fastq.gz	Fastqsanger.gz
	SRR10612051_1.fastq.gz	Fastqsanger.gz
	SRR10612052_1.fastq.gz	Fastqsanger.gz
	SRR10612053_1.fastq.gz	Fastqsanger.gz

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isoCirc catalogs full-length circular RNA isoforms in human transcriptomes

Project description:We report isoCirc, a long-read sequencing strategy coupled with an integrated computational pipeline to characterize full-length circular RNA (circRNA isoforms) using rolling circle amplification (RCA) followed by long-read sequencing. Applying isoCirc to 12 human tissues, we determined full-length structures and examined tissue specificities of circRNA isoforms in human transcriptomes.

2020-09-12 | GSE141693 | GEO

Quantifying full-length circular RNAs in cancer

Project description:Circular RNAs (circRNAs) have been found abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction potentials. The study of circRNA function thus requires knowledge of complete circRNA sequences. Here we describe psirc, a method that can identify full-length circRNA isoforms and quantify their expression levels using RNA sequencing data. We confirm the effectiveness and computational efficiency of psirc using both simulated and actual experimental data. Applying psirc on transcriptome profiles from nasopharyngeal carcinoma and normal nasopharynx samples, we discovered circRNA isoforms differentially expressed between the two groups. Compared to the assumed circular isoforms derived from linear transcript annotations, some of the alternatively spliced circular isoforms have 100 times higher expression and contain fewer microRNA response elements, demonstrating the importance of quantifying full-length circRNA isoforms.

2021-04-06 | GSE165181 | GEO

Quantifying full-length circular RNAs in cancer

Project description:Quantifying full-length circular RNAs in cancer

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Full-length transcriptome reconstruction reveals large diversity of RNA isoforms and open reading frames in rat hippocampus

Project description:We developed a hybrid-sequencing workflow, combining next-generation and third-generation sequencing, to reconstruct full-length transcriptomes. Integrating with polysome profiling and ribosome footprinting data, we predicted isoform–specific translational status and reconstructed ORFeome. Moreover, we identified isoforms with specific subcellular localization pattern in neurons.

2019-10-14 | GSE128136 | GEO

isoCirc catalogs full-length circular RNA isoforms in human transcriptomes.

Project description:Circular RNAs (circRNAs) have emerged as an important class of functional RNA molecules. Short-read RNA sequencing (RNA-seq) is a widely used strategy to identify circRNAs. However, an inherent limitation of short-read RNA-seq is that it does not experimentally determine the full-length sequences and exact exonic compositions of circRNAs. Here, we report isoCirc, a strategy for sequencing full-length circRNA isoforms, using rolling circle amplification followed by nanopore long-read sequencing. We describe an integrated computational pipeline to reliably characterize full-length circRNA isoforms using isoCirc data. Using isoCirc, we generate a comprehensive catalog of 107,147 full-length circRNA isoforms across 12 human tissues and one human cell line (HEK293), including 40,628 isoforms ≥500 nt in length. We identify widespread alternative splicing events within the internal part of circRNAs, including 720 retained intron events corresponding to a class of exon-intron circRNAs (EIciRNAs). Collectively, isoCirc and the companion dataset provide a useful strategy and resource for studying circRNAs in human transcriptomes.

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Single-molecule, full-length transcript isoform sequencing reveals disease-associated RNA isoforms

Project description:Alternative splicing generates differing RNA isoforms that govern phenotypic complexity of eukaryotes. Its malfunction underlies many diseases, including cancer and cardiovascular diseases. Comparative analysis of RNA isoforms at the genome-wide scale has been difficult. Here, we established an experimental and computational pipeline that accurately quantifies transcript isoforms in their entire length from cDNA sequences with a full-length isoform detection accuracy of 97.6%. We generated a searchable, quantitative human transcriptome annotation with 31,025 known and 5,740 novel transcript isoforms (http://steinmetzlab.embl.de/iBrowser/). By analyzing the isoforms in the presence of RNA Binding Motif Protein 20 (RBM20) mutations associated with aggressive dilated cardiomyopathy (DCM), we identified 121 differentially expressed transcript isoforms in 107 cardiac genes. By establishing an isoform-differential expression test, our approach revealed that 11 of these genes displayed no detectable change in overall RNA expression. However, significant differences in the expression of specific isoforms in these genes was observed. These isoform specific effects demonstrate the need of analyzing RNA isoform expression levels rather than total gene expression levels.

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2020-12-09 | PXD019915 | JPOST Repository

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Project description:Brain cells release and take up small extracellular vesicles (sEVs) containing bioactive nucleic acids. sEV exchange is hypothesized to contribute to stereotyped spread of neuropathological changes in the diseased brain. We assessed mRNA from sEVs of non-diseased (ND) and Alzheimer’s disease (AD) human postmortem brain, using short- and long-read sequencing. sEV transcriptomes were distinct from bulk tissue, showing enrichment for multiple genes including mRNAs encoding ribosomal proteins and L1Hs transposable elements. AD versus ND sEVs showed enrichment of inflammation-related and depletion of synaptic signaling mRNAs. sEV mRNA from cultured murine primary neurons, astrocytes, or microglia showed similarities with human brain sEVs and revealed cell-type specific packaging. Nearly 80% of human brain sEV transcripts sequenced using long-read sequencing were full-length. Motif analyses of sEV-enriched full-length isoforms revealed RNA-binding proteins that may be associated with sEV loading. Collectively, we show that mRNA in brain sEVs is selectively-packaged and altered by disease state.

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