Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1172601 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30981063.fastq.gz | Fastqsanger.gz | |||
| SRR30981064.fastq.gz | Fastqsanger.gz | |||
| SRR30981065.fastq.gz | Fastqsanger.gz | |||
| SRR30981066.fastq.gz | Fastqsanger.gz | |||
| SRR30981067.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 15 |
Similar Datasets
Project description:RNA interference (RNAi) technology is widely used in basic and translational research. By mimicking natural primary microRNA (pri-miRNA) cluster, multiple engineered hairpins can be transcribed as a single transcript from the same Pol-II promoter, enabling multiplex RNAi in mammalian cells 1-5. However, constructing synthetic miRNA cluster is still time-consuming, and the processing and function of miRNA cluster are incompletely understood. Here, we identified a miRNA precursor architecture that allowed precise miRNA maturation. We established a hierarchical cloning method for efficient construction of synthetic miRNA cluster harboring up to 18 miRNA precursors. We demonstrated that maturation and function of individual miRNA precursors were independent on their positions in the cluster. We then analyzed the integration efficiency of miRNA clusters with varying number of miRNA precursors by using CRISPR/Cas9 mediated integration, piggyBac transposon system, and lentiviral system. This synthetic miRNA cluster system provides an important tool for multiplex RNAi in mammalian cells. Different kinds of synthetic miRNAs or miRNA clusters, including the same synthetic miRNA precursor embedded in a series of derivative backbones, 18 synthetic miRNA precursors, miRNA precursors with various stem lengths and miRNA clusters carrying different numbers of different pri-miRNA hairpins, were expressed in HEK293 cells. The microRNA maturation pattern of individual miRNA precursors was detected by small RNA sequencing.
2016-09-01 | E-GEOD-71088 | biostudies-arrayexpress
Project description:New Generation of Artificial MicroRNA and Synthetic Trans-Acting Small Interfering RNA Vectors for Efficient Gene Silencing in Arabidopsis
| PRJNA237038 | ENA
Project description:Communication between interacting organisms via bioactive molecules is widespread in nature and plays key roles in diverse biological processes. Small RNAs (sRNAs) can travel between host plants and filamentous pathogens to trigger trans-kingdom RNA interference (RNAi) in recipient cells and modulate plant defense and pathogen virulence. However, how trans-kingdom RNAi is regulated has rarely been reported. Here, we show that the secretory protein VdSSR1 (secretory silencing repressor 1) from Verticillium dahliae, a soil-borne phytopathogenic fungus that causes wilt diseases in a wide range of plant hosts, is required for fungal virulence in plants through the suppression of trans-kingdom RNAi.
2022-03-02 | GSE190467 | GEO
Project description:RNA interference (RNAi) technology is widely used in basic and translational research. By mimicking natural primary microRNA (pri-miRNA) cluster, multiple engineered hairpins can be transcribed as a single transcript from the same Pol-II promoter, enabling multiplex RNAi in mammalian cells 1-5. However, constructing synthetic miRNA cluster is still time-consuming, and the processing and function of miRNA cluster are incompletely understood. Here, we identified a miRNA precursor architecture that allowed precise miRNA maturation. We established a hierarchical cloning method for efficient construction of synthetic miRNA cluster harboring up to 18 miRNA precursors. We demonstrated that maturation and function of individual miRNA precursors were independent on their positions in the cluster. We then analyzed the integration efficiency of miRNA clusters with varying number of miRNA precursors by using CRISPR/Cas9 mediated integration, piggyBac transposon system, and lentiviral system. This synthetic miRNA cluster system provides an important tool for multiplex RNAi in mammalian cells.
2016-09-01 | GSE71088 | GEO
Project description:Background: RNA silencing pathways play critical roles in gene regulation, virus infection, and transposon control. RNA interference (RNAi) is mediated by small interfering RNAs (siRNAs), which are liberated from double stranded (ds) RNA precursors by Dicer and direct the RNA-induced silencing complex (RISC) to target transcripts. Recent efforts have uncovered important principles governing small RNA (smRNA) sorting into RISC, yet mechanisms defining substrate selection by Dicer proteins remain uncharacterized. Methodology: To better characterize Dicer-2 substrates in Drosophila, we examined the antiviral RNAi response, which generates virus-derived siRNAs from viral RNA. Using high-throughput sequencing, we found that diverse viruses were uniquely targeted; substrates included dsRNA replication intermediates and intramolecular RNA stem loops. smRNA distribution patterns from viral and synthetic dsRNA precursors were highly reproducible, and machine learning techniques identified characteristics of precursor molecules and smRNA duplexes important in determining relative smRNA abundance. Significance: To our knowledge, this study provides the first description of the rules governing Dicer-2 substrate selection, which has important implications for exogenous RNA silencing technologies and the development of smRNA-based antiviral therapeutics. virus-derived siRNA (vsiRNA) expression comparison between control and 4 different virus-infected cells in control as well as 5 different RNAi pathway protein knock-downs in Drosophila dl1 cells
2013-01-31 | E-GEOD-28957 | biostudies-arrayexpress
Project description:The function and mechanism of the interferon-regulated antiviral responses have been extensively characterized. Recent studies have demonstrated induction of antiviral RNA interference (RNAi) in somatic cells against several mammalian RNA viruses rendered incapable of RNAi suppression. However, little is known about Dicer-mediated production of virus-derived small-interfering RNAs (vsiRNAs) in these cells active in the type I interferon response. Here we show that the dsRNA precursors of influenza vsiRNAs were processed more efficiently than cellular precursor microRNA hairpins by wild-type human Dicer expressed de novo in Dicer-knockout somatic cells. We found that infection of two strains of suckling mice with wild-type Nodamura virus (NoV) was associated with production of silencing-active vsiRNAs and direct sequestration of duplex vsiRNAs by its RNAi suppressor protein B2. Our findings from in vivo infection with Sindbis virus recombinants expressing NoV B2 or carrying a vsiRNA-targeted insert provide evidence for an antiviral function of the induced RNAi response. Interestingly, NoV infection induces expression of RIG-I-like receptor LGP2 to inhibit vsiRNA biogenesis and promote virulent infection in suckling mice. Our findings together reveal efficient Dicer processing of vsiRNA precursors in interferon-competent somatic cells and suckling mice in contrast to synthetic long dsRNA examined previously by in vitro dicing.
2021-07-28 | GSE155146 | GEO
Project description:Background: RNA silencing pathways play critical roles in gene regulation, virus infection, and transposon control. RNA interference (RNAi) is mediated by small interfering RNAs (siRNAs), which are liberated from double stranded (ds) RNA precursors by Dicer and direct the RNA-induced silencing complex (RISC) to target transcripts. Recent efforts have uncovered important principles governing small RNA (smRNA) sorting into RISC, yet mechanisms defining substrate selection by Dicer proteins remain uncharacterized. Methodology: To better characterize Dicer-2 substrates in Drosophila, we examined the antiviral RNAi response, which generates virus-derived siRNAs from viral RNA. Using high-throughput sequencing, we found that diverse viruses were uniquely targeted; substrates included dsRNA replication intermediates and intramolecular RNA stem loops. smRNA distribution patterns from viral and synthetic dsRNA precursors were highly reproducible, and machine learning techniques identified characteristics of precursor molecules and smRNA duplexes important in determining relative smRNA abundance. Significance: To our knowledge, this study provides the first description of the rules governing Dicer-2 substrate selection, which has important implications for exogenous RNA silencing technologies and the development of smRNA-based antiviral therapeutics.
2013-01-31 | GSE28957 | GEO
Project description:Synthetic gene constructu syn-F4, coding for synthetic de novo protein Syn-F4
| PRJEB23979 | ENA
Project description:RNA interference (RNAi) is a conserved, RNA-mediated, regulatory mechanism in eukaryotes. In plants, it plays an important role in growth, development and resistance against viral infections. As a counter-defence, plant viruses, e.g. geminiviruses, encode RNAi suppressors, such as AC2, AC4 and AV2. To obtain Nicotiana tabacum virus resistant plants against Tomato leaf curl New Delhi virus (ToLCNDV), we employ the biogenesis pathway of a class of endogenous siRNAs, the trans-acting siRNAs (ta-siRNAs), by engineering artificial ta-siRNAs (ata-siRNAs) targeting the AC2 (TRiV-AC2) and AC4 (TRiV-AC4) RNAi suppressors using miRNA390 dual target sites. The mode of action of ta-siRNAs comprises of the cleavage of the target (similar to the miRNA targeting). Using degradome approaches, the abundance of the resulting 3' fragment of the cleaved transcript can be quantified and the precise localization of the cleavage on the target mRNA can be identified. We sequenced degradome libraries of Nicotiana tabacum plants infected with ToLCNDV which were treated with the ata-siRNA-AC2 construct; mock-treated plants were used as controls. Following quality checks, the abundance distributions of the degradation fragments were normalized. The transcripts with different cleavage patterns was the AC2, supporting the conclusion that an efficient cleavage of the target occurred, without significant off-target effects.
2019-11-08 | GSE85818 | GEO