Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Effects of tetracycline on Drosophila nigrosparsa

PROVIDER: PRJNA694538 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13518563_1.fastq.gz	Fastqsanger.gz
	SRR13518563_2.fastq.gz	Fastqsanger.gz
	SRR13518564_1.fastq.gz	Fastqsanger.gz
	SRR13518564_2.fastq.gz	Fastqsanger.gz
	SRR13518565_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 54

Similar Datasets

Drosophila nigrosparsa

Project description:Drosophila nigrosparsa overview

| PRJNA343276 | ENA

Drosophila nigrosparsa strain:iso12

Project description:Drosophila nigrosparsa strain:iso12 Genome sequencing and assembly

| PRJNA343156 | ENA

Drosophila nigrosparsa strain:Iso1

Project description:Drosophila nigrosparsa strain:Iso1 Transcriptome or Gene expression

| PRJNA232118 | ENA

Project description:Drosophila melanogaster and Drosophila nigrosparsa infected and uninfected with Wolbachia wMel

| PRJNA602188 | ENA

Project description:Gut microbiome of Drosophila nigrosparsa infected with Wolbachia wMel

| PRJNA914613 | ENA

The effect of Wolbachia infection on Drosophila ovarian transcript levels

Project description:We used microarray analysis to screen the Drosophila genome for effects of Wolbachia infection on transcript levels in wildtype adult immature ovaries. Keywords: Comparative expression analysis of infection effect To generate the ovaries to be compared, we first rid a wildtype Canton-S line of Drosophila of the well characterized YW strain of Wolbachia that it harbored (Bourtzis et al., 1998, Presgraves, 2000) by raising the flies for three generations on food containing tetracycline. After the line had been raised for three more generations on food without tetracycline, we used a standard PCR assay (O'Neil et al., 1999) to confirm that the line was Wolbachia free. Genetically matched infected and uninfected females were recovered as the daughters from two reciprocal crosses between the infected and the cured Canton-S lines. Previtellogenic ovaries were harvested from these females 1-5 h after eclosion

2010-05-14 | E-GEOD-9274 | biostudies-arrayexpress

Expression data in HTETOP cells following tetracycline or dexrazoxane treatment

Project description:HTETOP cells, derived from the human fibrosarcoma cell line HT1080, express human topoisomearse II α (TOP2A) exclusively from a tetracycline (TET)-regulated transgene, we used HTETOP cells to differentiate between TOP2A-dependent and –independent apoptotic effects of doxorubicin and dexrazoxane. We used microarrays to detect global transcriptional changes in HTETOP cells following tetracycline doxycycline or dexrazoxane treatment. Keywords: Drug treatment comparison

2009-02-19 | GSE14886 | GEO

activated sludge metagenome

Project description:Interactive effects of tetracycline and nitrosifying sludge microbiota

| PRJNA418716 | ENA

Multigenerational effect of antibiotic tetracycline on transcriptional responses of D. magna and its relationship to higher levels of biological organizations

Project description:Given the risk of environmental pollution by pharmaceutical compounds and the effects of these compounds on exposed ecosystems, ecologically relevant and realistic assessments are required. However, many studies have been mostly focused on individual responses in a single generation exposed to one-effect concentration. Here, transcriptional responses of the crustacean Daphnia magna to the antibiotic tetracycline across multiple generations and effect concentrations were investigated. The results demonstrated that tetracycline induced different transcriptional responses of daphnids that were dependent on dose and generation. For example, reproduction-related expressed sequence tags (ESTs), including vitellogenin, were distinctly related to the dose-dependent tetracycline exposure, whereas multigenerational exposure induced significant change of molting-related ESTs such as cuticle protein. Sixty-five ESTs were shared in all contrasts, suggesting a conserved mechanism of tetracycline toxicity regardless of exposure concentration or time. Most of them were associated with general stress responses including translation, protein and carbohydrate metabolism, and oxidative phosphorylation. In addition, effects across the dose-response curve showed higher correlative connections among transcriptional, physiological, and individual responses than multigenerational effects. In the multigenerational exposure, the connectivity between adjacent generations decreased with increasing generation number. The results clearly highlight that exposure concentration and time trigger different mechanisms and functions, providing further evidence that multigenerational and dose-response effects cannot be neglected in environmental risk assessment.

2017-10-16 | GSE94439 | GEO

The study of EF4 mediated gene expression under tetracycline stress in two Escherichia coli strains

Project description:Purpose: We use the gene expression data to estimate the effects of tetracycline on gene expression and average ribosome density. Methods: The mRNAs were extracted with TRIzol reagent. The mRNAs were fragmented into 280 bp and the sequencing process was conducted on HiSeq 2500 platform. We use cutadapt, bowtie2, Plastid and DEseq2 software to analyze the expression levels of genes in two Escherichia coli strains. Results: The gene expression in EF4 knockout Escherichia coli strain was similar with BW25113 strain under normal condition. Under tetracycline treatment, many genes' expression were differentially regulated. Interestingly, we found that the gene expression of ribosomal proteins was up-regulated in WT strain comparing with EF4 knockout E. coli strain. Conclusions: Our results suggest that EF4 affects the average ribosome density and global gene expression in two Escherichia coli strain under tetracycline treatment.

2021-01-09 | GSE109025 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data