Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA89451 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:high-density-oligonucleotide-microarray-based resequencing of 7Mbp from 50 Drosophila melanogaster genomes
| PRJNA30091 | ENA
Project description:Drosophila melanogaster is a well-studied genetic model organism with several large-scale transcriptome resources. Here we investigate 7,952 proteins during the fly life cycle from embryo to adult and also provide a high-resolution temporal time course proteome of 5,458 proteins during embryogenesis. We use our large scale data set to compare transcript/protein expression, uncovering examples of extreme differences between mRNA and protein abundance. In the embryogenesis proteome, the time delay in protein synthesis after transcript expression was determined. For some proteins, including the transcription factor lola, we monitor isoform specific expression levels during early fly development. Furthermore, we obtained firm evidence of 268 small proteins, which are hard to predict by bioinformatics. We observe peptides originating from non-coding regions of the genome and identified Cyp9f3psi as a protein-coding gene. As a powerful resource to the community, we additionally created an interactive web interface (http://www.butterlab.org) advancing the access to our data.
2017-04-07 | PXD005713 | Pride
Project description:MicroRNAs are a class of small (~22nt) endogenous RNAs that regulate target transcript expression post-transcriptionally. Previous studies characterized age-related changes in diurnal transcript expression but it is not understood how these changes are regulated, and whether they may be attributed in part to changes in microRNA expression or activity with age. Diurnal small RNA expression changes with age were not previously studied. To interrogate changes in small RNA expression with age, we collected young (5 day) and old (55 day) Drosophila melanogaster around-the-clock and performed deep sequencing on size-selected RNA from whole heads. We find several microRNAs with changes in rhythmicity after aging, and we investigate microRNAs which are differentially expressed with age. We find that predicted targets of differentially expressed microRNAs have RNA-binding and transcription factor activity. We use a previously published method to identify mRNA transcripts which show evidence of microRNA targeting that is altered after aging, and find several that are involved in muscle development and maintenance. Finally, we identify novel microRNAs using the random-forest-based method miRWoods, which surprisingly also discovered transfer RNA-derived fragments.
2022-08-31 | GSE210559 | GEO
Project description:Drosophila melanogaster is a well-studied genetic model organism with several large-scale transcriptome resources. Here we investigate 7,952 proteins during the fly life cycle from embryo to adult and also provide a high-resolution temporal time course proteome of 5,458 proteins during embryogenesis. We use our large scale data set to compare transcript/protein expression, uncovering examples of extreme differences between mRNA and protein abundance. In the embryogenesis proteome, the time delay in protein synthesis after transcript expression was determined. For some proteins, including the transcription factor lola, we monitor isoform specific expression levels during early fly development. Furthermore, we obtained firm evidence of 268 small proteins, which are hard to predict by bioinformatics. We observe peptides originating from non-coding regions of the genome and identified Cyp9f3psi as a protein-coding gene. As a powerful resource to the community, we additionally created an interactive web interface (http://www.butterlab.org) advancing the access to our data.
2017-04-07 | PXD005691 | Pride
Project description:Reference based Transcriptome Analysis of Drosophila melanogaster
| PRJNA434623 | ENA
Project description:Drosophila melanogaster is a validated eukaryotic model for immunity-concerned studies in the post-genomic era. In the present study we performed oral experimental infection of D. melanogaster with Pseudomonas aeruginosa (strain ATCC27853). By using a whole genome microarray approach, we intended to identify significant alterations in the expression profile of relevant genes amenable to qualify as new models for the investigation of specific host-parasite interactions.
2016-04-09 | GSE80084 | GEO
Project description:Two core factors of the NMD machinery in D. melanogaster, Upf1 and Upf2, were knocked down using RNAi, as described in Rehwinkel et al. (2005) RNA, PMID: 16199763. Each of the two knockdowns were compared to mock RNAi knockdowns as described in Blanchette et al. (2005) Genes Dev, PMID: 15937219 in a dual channel experiment, using a custom splice-junction microarray design, see Blanchette et al. (2005), PMID: 15937219. The aim of the experiment was to identify which isoforms of alternatively spliced genes were affected by NMD knockdown and thereby gain insight into the NMD mechanism in Drosophila. The samples were hybridized in a dual channel setup, to custom designed Splice-Junction arrays manufactured by Agilent.
2009-06-03 | GSE13532 | GEO
Project description:Long-read sequencing of chicken transcripts and identification of new transcript isoforms.
| PRJNA239269 | ENA
Project description:Deregulated gene expression is a hallmark of cancer, however most studies to date have analyzed short-read RNA-sequencing data with inherent limitations. Here, we combine PacBio long-read isoform sequencing (Iso-Seq) and Illumina paired-end short read RNA sequencing to comprehensively survey the transcriptome of gastric cancer (GC), a leading cause of global cancer mortality. We performed full-length transcriptome analysis across 10 GC cell lines covering four major GC molecular subtypes (chromosomal unstable, Epstein-Barr positive, genome stable and microsatellite unstable). We identify 60,239 non-redundant full-length transcripts, of which >66% are novel compared to current transcriptome databases. Novel isoforms are more likely to be cell-line and subtype specific, expressed at lower levels with larger number of exons, with longer isoform/coding sequence lengths. Most novel isoforms utilize an alternate first exon, and compared to other alternative splicing categories are expressed at higher levels and exhibit higher variability. Collectively, we observe alternate promoter usage in 25% of detected genes, with the majority (84.2%) of known/novel promoter pairs exhibiting potential changes in their coding sequences. Mapping these alternate promoters to TCGA GC samples, we identify several cancer-associated isoforms, including novel variants of oncogenes. Tumor-specific transcript isoforms tend to alter protein coding sequences to a larger extent than other isoforms. Analysis of outcome data suggests that novel isoforms may impart additional prognostic information. Our results provide a rich resource of full-length transcriptome data for deeper studies of GC and other gastrointestinal malignancies.
2021-02-02 | PXD023373 | Pride
Project description:Transcriptomic analysis and identification of differentially expressed genes in wt vs KD Drosophila melanogaster ovaries. We compared gene expression profiles in Drosophila melanogaster ovaries in which the lid or the sin3A gene have been selectively knocked down by tissues specific shRNA expression.
2019-12-11 | GSE133064 | GEO