Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1046570 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26990500_1.fastq.gz | Fastqsanger.gz | |||
| SRR26990500_2.fastq.gz | Fastqsanger.gz | |||
| SRR26990501_1.fastq.gz | Fastqsanger.gz | |||
| SRR26990501_2.fastq.gz | Fastqsanger.gz | |||
| SRR26990502_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 44 |
Similar Datasets
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:The RNA-seq data provided here were collected in order to examine the effect of identified coding and non-coding genomic aberrations on gene expression, as part of the publication ‘Whole-genome sequencing of chronic lymphocytic leukemia (CLL) identifies subgroups with distinct biological and clinical features’ by Robbe et al, Nat Gen, 2022.
2022-10-31 | E-MTAB-12124 | biostudies-arrayexpress
Project description:The goal of this study was to use global gene expression as a diagnostic tool to compare hepatic gene expression patterns in both male and female FHM in streams with the lowest and highest reproductive success, and potentially identify a suite of mRNA transcripts indicative of reproduction in a population The goal of this study was to compare differences in hepatic mRNA expression between gender at high and low egg-producing streams, not differences between individual streams. A k-means cluster analysis was performed using eggs/pair/day on the original 17 streams to delineate 3 clusters: high, medium and low. From that analysis, FHM from 6 of the original 17-streams used in Crago et al. (2010) were chosen for the microarray experiment (Fig. 1, Table 1). In this study the experimental condition is reproductive success; High versus Low reproductive success. The streams grouped into High Reproductive Success were Oak Creek-2007 (2313 eggs), Point Creek (1277 eggs), Meeme Creek (1164 eggs) and Baird Creek (967 eggs). The streams grouped into Low Reproductive Success were: Ashwaubenon Creek (0 eggs), Devils Creek (541 eggs) and Oak Creek-2006 (642 eggs). Multiple regression analysis using the 22 sediment and water quality characteristics measured in the 6 streams with the highest (n = 4 and lowest (n = 3) streams demonstrated that there were no differences amongst the streams in regards to measure sediment and water variables. .5 One array was run for each gender from each stream. So that Males from Point Creek were pooled and run on one array, males from Ashwaubenon Creek were run on a separate array, and so forth. There were 14 arrays used in this study, 7 for males, 7 for females from individual rivers. So that Males from Point Creek were pooled and run on one array, males from Ashwaubenon Creek were run on a separate array, and so forth. In the case of Oak Creek, which was sampled in both years, there was a large difference in egg production between two years. Therefore separate arrays were run for Oak Creek 2006 and Oak Creek 2007. All streams chosen had overall survival rates of at least 80% through the 21-day sampling period, except Devils River. The survival rate for Devils River was at 100% until four days prior to the end of the experiment when six fish died or escaped.
2014-04-09 | E-GEOD-56604 | biostudies-arrayexpress
Project description:Spanning August 2020 to July 2022, this model reconstructs SARS-CoV-2 infection and reinfection dynamics across multiple variants — mainly wildtype, Alpha, Delta, and Omicron BA.4/5. It describes how each variant spread through the population, incorporating cross-immunity between variants. The model is calibrated using seroprevalence data, PCR positivity rates, and variant sequencing, providing insights into how prior infections shaped susceptibility to future waves.
2025-04-12 | MODEL2504120001 | BioModels
Project description:Acute myeloid leukemia (AML) and DNMT3A mutations (DNMT3Amut) are considered to carry intermediate risk under the 2022 European LeukemiaNet (ELN-2022) classification in the absence of other co-mutations or cytogenetic abnormalities. However, this group is highly heterogeneous. In this study, the genomic and transcriptomic features influencing outcomes in DNMT3A-mutated AML were examined in a cohort of 884 patients with AML receiving standard chemotherapy. Stratification by NPM1 and FLT3-ITD status revealed worse survival among patients with NPM1 mutations and wild-type FLT3-ITD (NPM1mut/FLT3-ITDwt) than patients in the ELN-2022 favorable risk group. The other three subgroups (NPM1mut/FLT3-ITDmut, NPM1wt/FLT3-ITDmut, and NPM1wt/FLT3-ITDwt) exhibited worse prognoses than patients in the ELN-2022 intermediate risk group. Additionally, the presence of TET2mut in patients with AML and DNMT3Amut/NPM1mut/FLT3-ITDwt led to reclassification from favorable risk to intermediate risk in the ELN-2022. RNA-sequencing analysis revealed a distinct transcriptomic profile in patients with TET2mut, highlighting the enrichment of leukemic stem cell signatures and dendritic cell migration, with MMP14, CD200, and CT45A5 identified as key differentially expressed genes. In conclusion, co-mutation patterns strongly affected AML outcomes in patients with DNMT3Amut. Patients with TET2mut constituted a unique subgroup within the ELN-2022 favorable DNMT3Amut/NPM1mut/FLT3-ITDwt group, characterized by distinct transcriptomic features and an unfavorable prognosis.
2025-05-19 | GSE297413 | GEO
Project description:The following were run:
Blanks
Solvent blanks (with and without NIS/EIS)
Extraction blanks (with NIS/EIS)
Wastewater Extracts with NIS/EIS
Fish Creek Final Effluent 220902
Fish Creek Final Effluent 220903
Bonnybrook Final Effluent 220902
Bonnybrook Final Effluent 220902 - Duplicate
Pine Creek Final Effluent 220902
Pine Creek Final Effluent 220902 - Duplicate
Standards
EPA 1633 standards
EPA 1633 NIS
EPA 1633 EIS
Calibration curve of standards with EIS & NIS
Wastewater Extract Pools
Fish Creek Pooled
Bonnybrook Pooled
Pine Creek Pooled
The purpose was to apply FluoroMatch and NTA to these samples as well as compare QRAI, AIF, and IE-DDA using Innovative Omics new deconvolution tool: IonDecon
2023-04-21 | MSV000091765 | MassIVE