Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

IdDexCann

ABSTRACT: Dexiosoma caninum, genomic and transcriptomic data

PROVIDER: PRJEB66252 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR12083128_1.fastq.gz	Fastqsanger.gz
	ERR12083128_2.fastq.gz	Fastqsanger.gz
	ERR12075164.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

idDexCann

Project description:Dexiosoma caninum

| PRJEB66253 | ENA

Dexiosoma caninum

Project description:Dexiosoma caninum overview

| PRJNA1069840 | ENA

idDexCann1

Project description:Dexiosoma caninum genome assembly, idDexCann1

| PRJEB72094 | ENA

idDexCann1 alternate haplotype

Project description:Dexiosoma caninum genome assembly, idDexCann1, alternate haplotype

| PRJEB72095 | ENA

Detection of differential gene expression in locust brain infected with the protozoan parasite Neospora caninum using the drosophila gene chip

Project description:To obtain a broader understanding of the effects of the N. caninum on S. gregaria adults, we examined the parasite impact on host gene expression using Affymetrix DNA microarray and Cross Species Hybridisation (CSH) analysis. Since N. caninum infection induced neurological injuries in locusts, it was important to test whether N. caninum infection had altered gene expression within locust brains. The analysis was designed to gain further understanding of the mechanisms for N. caninum neuropathy, and in particular, of the genes responsible for the capacity of N. caninum to establish brain infection. Using a cross species hybridisation (CSH) approach, RNA samples from brains of mock- and N. caninum-infected locusts were labeled and hybridised to Affymetrix Gene Chip Drosophila Genome 2.0 Arrays. Data were analysed using Partek Genomics Suite Version 6.4. Of the 28,593 transcripts represented on the GeneChip, approximately 18,500 were expressed in the N. caninum-infected locust’s brain. PCA quality control analysis shows that the uninfected and infected samples were biologically noisy but generally well separated .

2015-01-28 | E-MTAB-3132 | biostudies-arrayexpress

microRNA profiling in the parasite Neospora caninum using a high-throughput approach

Project description:Small RNA libraries from N. caninum tachyzoites were analyzed using a high-throughput RNA sequencing technology combined with systematic bioinformatics analysis.

2017-11-20 | GSE107118 | GEO

Neospora caninum RNAseq

Project description:Recent advances in high throughput sequencing methodologies allow the opportunity to probe in depth the transcriptomes of organisms including N. caninum. In this project, we are using Illumina sequencing technology to analyze the transcriptome (RNA-Seq) of experimentally accessible stages (e.g. tachyzoites at different times points) of N. caninum NCLiv. The aim is to make transcriptional landscape maps at different time points at different life cycle stages of N. caninum and compare it with equivalent datasets from the closely related parasite Toxoplasma gondii

2011-02-08 | E-MTAB-549 | biostudies-arrayexpress

Mouse infections with Neospora caninum

Project description:Transcriptional responses occurring in the spleen in response to N. caninum infection compared to uninfected mice

2011-01-01 | GSE23520 | GEO

tfGorAlbo

Project description:Gordius_albopunctatus, genomic and transcriptomic data

| PRJEB78907 | ENA

Tropheryma whipplei proteome - Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme

Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.

2017-12-18 | PXD006238 | Pride

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