Ontology highlight
ABSTRACT:
PROVIDER: PRJNA725495 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14361836_1.fastq.gz | Fastqsanger.gz | |||
| SRR14361836_2.fastq.gz | Fastqsanger.gz | |||
| SRR14361837_1.fastq.gz | Fastqsanger.gz | |||
| SRR14361837_2.fastq.gz | Fastqsanger.gz | |||
| SRR14361838_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 16 |
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:Escherichia coli release Extracellular Vesicles (EVs) which carry diverse molecular cargo. Pathogenic E.coli EVs contain virulence factors which assist during infection in the host in different mechanisms.The RNA cargo of E.coli EVs has not been assessed in their effect in the host. We used microarray data to asses and compare the global response of bladder cells to EV-RNA from pathogenic E.coli (Uropathogenic UPEC 536) and non-pathogenic E. coli (probiotic Nissle 1917)
2020-07-08 | GSE148711 | GEO
Project description:We measured the mRNA abundance in E.coli using RNAseq to calculate mRNA lifetimes. The data is used in support of a larger paper on the proteome and transcriptome of E.coli.
2010-07-30 | GSE21341 | GEO
Project description:Intervention type:DRUG
Name of intervention:Huaier
Dose form / Japanese Medical Device Nomenclature:GRANULES
Route of administration / Site of application:ORAL
Dose per administration:20?
g
Dosing frequency / Frequency of use:OTHER, SPECIFY
20g? per day
Planned duration of intervention:3 months to extending if necessary
Intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary
detailes of teratment arms:hepatocellular carcinoma, breast cancer, colorectal cancer and related gastrointestinal cancers, urologic cancers including prostate cancer, pancreas cancer, and lung cancer, etc.
Comparative intervention name:None
Dose form / Japanese Medical Device Nomenclature:
Route of administration / Site of application:
Dose per administration:
Dosing frequency / Frequency of use:
Planned duration of intervention:
Intended dose regimen:
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.
Study Design: Comparative test, None, No, open(masking not used), EXPLORATORY
| 98681 | ecrin-mdr-crc
Project description:We created a mutator protein. The mutator, was prepared by fusing a PmCDA1 (Petromyzon marinus Cytidine DeAminase) and E.coli RNA polymerase alpha subunit(EcoRNAP alpha). After 120 cycles, whole genome sequencing was performed on the wild type and evolved sample. After characterization of the mutation capacity of our mutator, we evolved a sucrose utilization strain and we sequenced Suc strain.
2021-05-03 | E-MTAB-10368 | biostudies-arrayexpress
Project description:Transcriptional profiling of E.coli SE15 comparing wild type E.coli SE15 with Autoindecur 2 synthesis gene LuxS mutnat E.coli SE15. E.coli SE15 is isolated from indwelling catheter of urinary tract infected patient. Examine change of quorum sensing related gene by deleting autoinducer 2 synthesis gene LuxS in E.coli
2013-08-02 | GSE49474 | GEO
Project description:Purpose:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived E.coli transcriptome profiling (RNA-seq) of Wild type and ΔrecA with or without antibiotics treatment. Methods:libraries with different indices were multiplexed and loaded on an Illumina HiSeq instrument, Sequencing was carried out using a 2x150bp paired-end (PE) configuration, image analysis and base calling were conducted by the HiSeq Control Software (HCS) + OLB + GAPipeline-1.6 (Illumina) on the HiSeq instrument. Main data analysis include Quality Control(Cutadapt), Mapping(Bowtie2 (v2.2.6)),Expression analysis(HTSeq (v0.6.1p1)), Differential expression analysis (DESeq2 Bioconductor package). Results:Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the E.coli genome, The treatment of ampicillin affected the transcriptomic profile of either in the wild type or the ΔrecA strain, compared with that of untreated control cells, with changes to the expression of 4373 and 4286 coding sequences, respectively. Analysis of only the genes with a log2 fold change (log2FC) of ≥ ± 2 showed that 161 and 248 genes were differentially expressed in the ampicillin-treated wild type and ΔrecA strains, respectively. Conclusions:Our study represents the detailed analysis of E.coli transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2021-07-06 | GSE179434 | GEO
Project description:The genome-wide analysis was carried out to find out the genes responsible for single and multiple stress in Shigella flexneri 2a str. 2457T. E. coli used as a reference strain. This is RNA-seq data of E.coli K-12 MG1655.
2024-12-22 | GSE173345 | GEO
Project description:These series of experiments compares the expression profile of the motility variants of E.coli MG1655 ( Motile and NonMotile isolates) to an isogenic E.coli MG1655 strain in which the IS5 upstream of flhDC has been deleted. The expression profiles of genes in the E.coli MG1655 motile isolate and E.coli MG1655 Non_Motile isolate also compared. Keywords: parallel sample
2005-06-02 | GSE2694 | GEO
Project description:Primary objectives: Characterization of the macrophage population subset that is modulated by enteric neurons
Primary endpoints: Characterization of the macrophage population subset that is modulated by enteric neurons via RNA sequencing
| 2538227 | ecrin-mdr-crc