Ontology highlight
ABSTRACT:
PROVIDER: PRJNA800061 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Abramis brama alternate pseudohaplotype genome sequencing
| PRJNA798215 | ENA
Project description:Abramis brama principal pseudohaplotype genome sequencing
| PRJNA798216 | ENA
Project description:Abramis brama orientalis Genome sequencing and assembly
| PRJNA847353 | ENA
Project description:Hybrid generations usually face either a heterosis advantage or a breakdown that can be expressed by the level of parasite infection in hybrid hosts. Hybrids are less infected by parasites than parental species (especially F1 generations) or more infected than parental species (especially post-F1 generations). We performed the experiment with blood-feeding gill parasite Paradiplozoon homoion (Monogenea) infecting leuciscid species, Abramis brama and Rutilus rutilus, their F1 generation, and two backcross generations. Backcross generations tended to be more parasitized than parental lines and the F1 generation. The number of differentially expressed genes (DEGs) was lower in F1 hybrids and higher in backcross hybrids when compared to each of the parental lines. The main groups of DEGs were shared among lines, however, Abramis brama and Rutilus rutilus differed in some of the top gene ontology (GO) terms. DEG analyses revealed the role of heme binding and erythrocyte differentiation after infection by blood-feeding P. homoion. Two backcross generations shared some of the top GO terms representing mostly downregulated genes associated with P. homoion infection. KEGG analysis revealed the importance of disease-associated pathways. The majority of them were shared by two backcross generations. Our study revealed the most pronounced DEGs associated with monogenean infection in backcross hybrids, potentially explained by hybrid breakdown. The gene expression of F1 hybrids was little affected by P. homoion, suggesting the hybrid advantage.
2023-10-01 | GSE240906 | GEO
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:The study is intended to collect specimens to support the application of genome analysis technologies, including large-scale genome sequencing. This study will ultimately provide cancer researchers with specimens that they can use to develop comprehensive catalogs of genomic information on at least 50 types of human cancer. The study will create a resource available to the worldwide research community that could be used to identify and accelerate the development of new diagnostic and prognostic markers, new targets for pharmaceutical interventions, and new cancer prevention and treatment strategies. This study will be a competitive enrollment study conducted at multiple institutions.
| 2140168 | ecrin-mdr-crc
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
| 2612481 | ecrin-mdr-crc
Project description:Lipomyces genome scale model based on the Lipomyces starkeyi NRRL-11557 genome.
Published in:
Genome-Scale Model Development and Genomic Sequencing of the Oleaginous Clade Lipomyces
Frontiers in Bioengineering and Biotechnology
Industrial Biotechnology
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1356551
2024-03-20 | MODEL2403190001 | BioModels