Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1285089 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
2024-09-02 | MODEL2408160001 | BioModels
Project description:Clostridium difficile is a gram-positive, spore-forming enteric anaerobe which can infect humans and a wide variety of animal species. Recently, the incidence and severity of human C. difficile infection has markedly increased. In this study, we evaluated the genomic content of 73 C. difficile strains isolated from humans, horses, cattle, and pigs by comparative genomic hybridization with microarrays containing coding sequences from C. difficile strains 630 and QCD-32g58. The sequenced genome of C. difficile strain 630 was used as a reference to define a candidate core genome of C. difficile and to explore correlations between host origins and genetic diversity. Approximately 16% of the genes in strain 630 were highly conserved among all strains, representing the core complement of functional genes defining C. difficile. Absent or divergent genes in the tested strains were distributed across the entire C. difficile 630 genome and across all the predicted functional categories. Interestingly, certain genes were conserved among strains from a specific host species, but divergent in isolates with other host origins. This information provides insight into the genomic changes which might contribute to host adaptation. Due to a high degree of divergence among C. difficile strains, a core gene list from this study offers the first step toward the construction of diagnostic arrays for C. difficile.investigated by determining changes in transcript profiles when aerobic steady-state cultures were depleted of air. Dye-swap experiments with genomic DNA of tested and reference strains 8383cy3.gpr- Cy3 – test, Cy5 – reference 8384cy3.gpr- Cy3 – test, Cy5 – reference 8384cy5.gpr- Cy3 – reference, Cy5 – test 8385cy3.gpr- Cy3 – test, Cy5 – reference 8385cy5.gpr- Cy3 – reference, Cy5 – test 8386cy3.gpr- Cy3 – test, Cy5 – reference 8525cy3.gpr- Cy3 – test, Cy5 – reference 8525cy5.gpr- Cy3 – reference, Cy5 – test 8527cy5.gpr- Cy3 – reference, Cy5 – test 8529cy5.gpr- Cy3 – reference, Cy5 – test 8531cy3.gpr- Cy3 – test, Cy5 – reference 8531cy5.gpr- Cy3 – reference, Cy5 – test 8533cy3.gpr- Cy3 – test, Cy5 – reference 8533cy5.gpr- Cy3 – reference, Cy5 – test 8596cy3.gpr- Cy3 – test, Cy5 – reference 8596cy5.gpr- Cy3 – reference, Cy5 – test 8694cy3.gpr- Cy3 – test, Cy5 – reference 8694cy5.gpr- Cy3 – reference, Cy5 – test 2 GPR files per Sample record except for 4 Sample records (GSM480414, GSM480417, GSM480419, and GSM480420) which have 1 GPR file each 4 GPR file for those Sample records are lost
2010-12-01 | E-GEOD-19343 | biostudies-arrayexpress
Project description:The overall goal of this study is to determine the small non-coding RNA expression profile in developing mouse nephron progenitors and whole kidney. Using a limited digestion and negative selection approach, an enriched fraction of nephron progenitors were isolated from E15.5 whole kidney samples followed by small RNA-Sequencing (sRNA-Seq). A total of 3 biological replicates of mouse nephron progenitors and whole kidney samples were used for the sRNA-Seq. The NEBNext Multiplex Small RNA Library Prep Kit allowed us to prepare sequencing libraries from as little as 100ng total RNA. Multiplex sequencing was performed using the Illumina NextSeq 550 system with 50bp single reads, resulting in approximately 18 million reads per sample. Reads were aligned to the mm10 genome using Bowtie2, and the miRDeep2 software package was used to identify and quantify known and novel micro RNA (miRNA) within our sRNA-seq libraries. Differential expression analysis of miRNA expression between nephron progenitor and whole kidney samples identified 162 differentially expressed miRNAs (padj <= 0.05).
2018-08-21 | GSE111729 | GEO
Project description:We have performed a Proteogenomics meta-analysis of data sets deposited in ProteomeXchange: PXD000265, PXD000313, PXD000923, PXD001030, PXD001058, PXD002291, PXD002739, PXD002740 and PXD003156 and using 29 RNA-Seq data sets on rice (Oryza sativa). We created a search database comprising translated reads that had been mapped onto the rice genome, as well as officially annotated rice proteins sequences. The RNA Seq database was pre-processed to identify “novel transcripts” for those not mapping fully to an existing exon, and “novel junctions” for those reads mapped with a gap, implying a potential novel splice site that was not annotated in the official gene set. Confidentially identified “novel peptides” i.e. those mapping to a novel junction or novel transcript were post-processed to ensure that there were no other better explanations for the corresponding spectra e.g. peptide from a canonical gene with a modification or amino acid substitution. Data were exported from the pipeline in PSI mzIdentML 1.2 format, containing chromosomal coordinates, and further converted to PSI proBed format for genome visualisation. Novel peptides were searched against other plant databases using BLAST to see if they had predicted in genes from other species. A total of 1584 novel peptides were identified, mapping to ~700 genomic loci in which either new genes have been predicted (~100) or updates to existing gene models have been predicted (~600).
2018-10-30 | PXD008960 | Pride
Project description:<div>Olive (Olea europaea) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><br></div><div><div><b>GC-MS</b> protocols and data are reported in the current study <b>MTBLS855</b>.</div><div><br></div><div><span _ngcontent-jcp-c3="" class="ng-star-inserted"><b>Polyphenols UPLC-MS</b></span> protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814">MTBLS814</a></b>.</div><div><br></div><div><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814"><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</a></b></span></div></div>
2019-05-07 | MTBLS855 | MetaboLights
Project description:<div>Olive (<i>Olea europaea</i>) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><b><br></b></div><div><b>Polyphenols UPLC-MS</b> protocols and data are reported in the current study <b>MTBLS814</b>.</div><div><br></div><div><b>GC-MS</b> protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS855">MTBLS855</a></b>.</div><div><br></div><div><span _ngcontent-iov-c3="" class="ng-star-inserted"><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</b></span></span></div><div><br></div><div><br></div>
2019-05-07 | MTBLS814 | MetaboLights
Project description:<p>The ovaries and uterus are crucial reproductive organs in mammals, and their coordinated development ensures the normal development of sexual maturity and reproductive capacity. This study aimed to comprehensively capture the different physiological stages of the goat's sexual maturation by selecting four specific time points. We collected samples of ovarian and uterine tissues from five female Jining Gray goats at each time point: after birth (D1), 2-month-old (M2), 4-month-old (M4) and 6-month-old (M6). By combining transcriptomic sequencing of 40 samples (including rRNA-depleted RNA-seq libraries with 3607.8 million reads and miRNA-seq libraries with 444.0 million reads) and metabolomics analysis, we investigated the transcriptomic mechanisms involved in reproductive regulation in the ovary and uterus during sexual maturation, as well as the changes in metabolites and their functional potential. Additionally, we analyzed blood hormone indices and uterine tissue sections to examine temporal changes. These datasets will provide a valuable reference for the reproductive regulation of the ovary and uterus, as well as the regulation of metabolites during sexual maturation in goats.</p><p><br></p><p><strong>Uterine data</strong> is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS9795' rel='noopener noreferrer' target='_blank'><strong>MTBLS9795</strong></a>.</p><p><strong>Ovarian data</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS9794' rel='noopener noreferrer' target='_blank'><strong>MTBLS9794</strong></a>.</p>
2024-05-30 | MTBLS9795 | MetaboLights
Project description:<p>The ovaries and uterus are crucial reproductive organs in mammals, and their coordinated development ensures the normal development of sexual maturity and reproductive capacity. This study aimed to comprehensively capture the different physiological stages of the goat's sexual maturation by selecting four specific time points. We collected samples of ovarian and uterine tissues from five female Jining Gray goats at each time point: after birth (D1), 2-month-old (M2), 4-month-old (M4) and 6-month-old (M6). By combining transcriptomic sequencing of 40 samples (including rRNA-depleted RNA-seq libraries with 3607.8 million reads and miRNA-seq libraries with 444.0 million reads) and metabolomics analysis, we investigated the transcriptomic mechanisms involved in reproductive regulation in the ovary and uterus during sexual maturation, as well as the changes in metabolites and their functional potential. Additionally, we analyzed blood hormone indices and uterine tissue sections to examine temporal changes. These datasets will provide a valuable reference for the reproductive regulation of the ovary and uterus, as well as the regulation of metabolites during sexual maturation in goats.</p><p><br></p><p><strong>Ovarian data</strong> is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS9794' rel='noopener noreferrer' target='_blank'><strong>MTBLS9794</strong></a>.</p><p><strong>Uterine data</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS9795' rel='noopener noreferrer' target='_blank'><strong>MTBLS9795</strong></a>.</p>
2024-05-30 | MTBLS9794 | MetaboLights