Arabidopsis thaliana
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA93187 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Small RNAs play important regulatory roles in most eukaryotes but only a small proportion of these molecules have been identified. We sequenced more than two million small RNAs from seedlings and the inflorescence of the model plant Arabidopsis thaliana. Known and new miRNAs were among the most abundant of the non-redundant set of more than 75,000 sequences, whereas more than half represented lower abundance small-interfering RNAs (siRNAs) that match repetitive sequences, intergenic regions, and genes. Individual or clusters of highly-regulated small RNAs were readily observed. Targets of antisense RNA or miRNA did not appear to be preferentially associated with siRNAs. Many genomic regions previously considered featureless were found to be sites of numerous small RNAs. Keywords: small RNA identification , modified MPSS
2005-09-02 | GSE3008 | GEO
Project description:Small RNA identification in Arabidopsis thaliana using 454 data
| PRJNA96199 | ENA
Project description:Global identification of Arabidopsis thaliana ARGONAUTE1-associated small RNA.
| PRJNA128651 | ENA
Project description:Waters Raw data can be downloaded for shoot- and root parts of Arabidopsis thaliana accessions.
2018-11-14 | ST001096 | MetabolomicsWorkbench
Project description:Sequences tags expressed in ovules of Arabidopsis thaliana using Massively Parallel Signature Sequencing (MPSS)
| PRJNA215822 | ENA
Project description:Arabidopsis thaliana small RNAs sequences identified using high-throughput 454 sequencing technology
| PRJNA99059 | ENA
Project description:Small RNA sequences from Arabidopsis thaliana Col-0 inflorescence tissues of three biological replicates. The data were analyzed to identify non-templated nucleotides in Arabidopsis small RNAs.
2016-05-18 | GSE79119 | GEO
Project description:The Arabidopsis genome contains a highly complex and abundant population of small RNAs, and many of the endogenous siRNAs are dependent on RNA-DEPENDENT RNA POLYMERASE 2 (RDR2) for their biogenesis. By analyzing an rdr2 loss-of-function mutant using two different parallel sequencing technologies, MPSS and 454, we characterized the complement of miRNAs expressed in Arabidopsis inflorescence to considerable depth. Nearly all known miRNAs were enriched in this mutant and we identified 13 new miRNAs, all of which were relatively low abundance and constitute new families. Trans-acting siRNAs (ta-siRNAs) were even more highly enriched. Computational and gel blot analyses suggested that the minimal number of miRNAs in Arabidopsis is approximately 155. The size profile of small RNAs in rdr2 reflected enrichment of 21-nt miRNAs and other classes of siRNAs like ta-siRNAs, and a significant reduction in 24-nt heterochromatic siRNAs. Other classes of small RNAs were found to be RDR2-independent, particularly those derived from long inverted repeats and a subset of tandem repeats. The small RNA populations in other Arabidopsis small RNA biogenesis mutants were also examined; a dcl2/3/4 triple mutant showed a similar pattern to rdr2, whereas dcl1-7 and rdr6 showed reductions in miRNAs and ta-siRNAs consistent with their activities in the biogenesis of these types of small RNAs. Deep sequencing of mutants provides a genetic approach for the dissection and characterization of diverse small RNA populations and the identification of low abundance miRNAs. Keywords: small RNA sequences generated by 454 sequencing
2006-09-08 | GSE5343 | GEO
Project description:Expression of kava SPS1, SPS2, and CHS in Arabidopsis thaliana tt4-2 background.
2018-12-21 | MSV000083272 | GNPS
Project description:The goal of this project is to compare the primary metabolite profile in different tissue types of the model plant Arabidopsis thaliana. Specifically, plants were grown hydroponically under the long-day (16hr light/day) condition at 21C. Tissue samples, including leaves, inflorescences, and roots were harvest 4 1/2 weeks post sowing. Untargeted primary metabolites profiling was carried out using GCTOF.
2021-12-09 | ST002012 | MetabolomicsWorkbench