The transcriptome of extracellular stages of Cryptosporidium parvum and Cryptosporidium hominis.
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB25665 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2433390.fastq.gz | Fastqsanger.gz | |||
| ERR2433400.fastq.gz | Fastqsanger.gz | |||
| ERR2433391.fastq.gz | Fastqsanger.gz | |||
| ERR2433401.fastq.gz | Fastqsanger.gz | |||
| ERR2433392.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 17 |
Similar Datasets
Project description:Transcriptomic analysis of intracellular and extracellular stages of Cryptosporidium parvum.
| PRJEB28268 | ENA
Project description:Transcriptomic analysis of intra- and extracellular stages of Cryptosporidium parvum
| PRJEB17685 | ENA
Project description:Cryptosporidium hominis and parvum primarily infect intestinal epithelial cells, which, in turn, play a key role in activating and communicating with the host immune system. To determinate which genes are regulated during early infection of non-transformed human epithelial cells, human ileal mucosa was removed (from surgical specimens), placed on collagen membranes, and cultured as explants. Explant cultures were infected with C. parvum, C. hominis, or control culture medium. After 24 hrs, RNA was extracted and analyzed using Affmetrix GeneChip microarrays. Among the more prominent genes with regulated expression was Osteoprotegerin (OPG), which was increased in all of the explants at 24 hrs and further up-regulated 1.58 fold by C. parvum and 2.54 fold by C. hominis infection compared with uninfected explants. Using real time PCR, we confirmed a 3.14 and 3.79 fold increase in OPG mRNA after infection with C. parvum and C. hominis respectively. Keywords: gene expression analysis via microarray
2008-03-14 | GSE7268 | GEO
Project description:Cryptosporidium parvum is an important zoonotic parasitic disease worldwide, but the molecular mechanisms of the host–parasite interaction are not fully understood. Noncoding microRNAs (miRNAs) are considered key regulators of parasitic diseases. Therefore, we used microarray, qPCR, and bioinformatic analyses to investigate the intestinal epithelial miRNA expression profile after Cryptosporidium parvum infection.Twenty miRNAs were differentially expressed after infection (four upregulated and 16 downregulated). Further analysis of the differentially expressed miRNAs revealed that many important cellular responses were triggered by Cryptosporidium parvum infection, including cell apoptosis and the inflammatory and immune responses.This study demonstrates for the first time that the miRNA expression profile of human intestinal epithelium cells is altered by C. parvum infection. This dysregulation of miRNA expression may contribute to the regulation of host biological processes in response to C. parvum infection, including cell apoptosis and the immune responses. These results provide new insight into the regulatory mechanisms of host miRNAs during cryptosporidiosis, which may offer potential targets for future C. parvum control strategies.
2018-12-23 | GSE95365 | GEO
Project description:Cryptosporidium hominis and parvum primarily infect intestinal epithelial cells, which, in turn, play a key role in activating and communicating with the host immune system. To determinate which genes are regulated during early infection of non-transformed human epithelial cells, human ileal mucosa was removed (from surgical specimens), placed on collagen membranes, and cultured as explants. Explant cultures were infected with C. parvum, C. hominis, or control culture medium. After 24 hrs, RNA was extracted and analyzed using Affmetrix GeneChip microarrays. Among the more prominent genes with regulated expression was Osteoprotegerin (OPG), which was increased in all of the explants at 24 hrs and further up-regulated 1.58 fold by C. parvum and 2.54 fold by C. hominis infection compared with uninfected explants. Using real time PCR, we confirmed a 3.14 and 3.79 fold increase in OPG mRNA after infection with C. parvum and C. hominis respectively. Experiment Overall Design: Ileal tissue, which would otherwise have been discarded, was obtained from 3 individuals undergoing bowel resections. The mucosa was removed mechanically and cutured as explants in medium CMRL-1066 and incubated 3 hrs prior to ex vivo infection. Specimens from each individual were divided into 4 parts. A base lane specimen was preserved in RNAse inhibitor directly. The other 3 specimens were infected with 106 oocysts of C. parvum, C hominis or excystation solution. After 24h, the tissues were place in RNAse inhibitor. Subsequently, RNA was extracted with RNAeasy Mini Kit Quiagen and submitted to Baylor College of Medicine microarray facility. The samples were analyzed for gene expression profiles using the Affymetrix Human Genome U133 2.0 array.
2008-04-05 | E-GEOD-7268 | biostudies-arrayexpress
Project description:H69 cells were cultured in H69 medium with Cryptosporidium parvum oocysts(10 X 5 per well, for smaples 04, 05 and 06) or without oocysts(for samples 01, 02 and 03)for 8 hours and then collected for array analysis. Sample 07 was cells exposed to heated inactived oocysts. <br>
2010-02-11 | E-MEXP-2050 | biostudies-arrayexpress
Project description:The Cryptosporidium parvum (C. parvum) oocyst wall provides strong protection against hostile environmental factors; however, research is limited concerning about the oocyst wall at the proteomic level. In this study, a comprehensive analysis of the proteome expressed by the oocyst wall of C. parvum was performed using label-free qualitative high-performance liquid chromatography (HPLC) fractionation and mass spectrometry-based qualitative proteomics technologies. A total of 798 proteins were identified, accounting for about 20% of the CryptoDB proteome. By using bioinformatic analysis, functional annotation and subcellular localization of the identified proteins were examined for better understanding of the characteristics of the oocyst wall. Among the identified proteins, one protein encoded by the C. parvum cgd7_5140 (Cpcgd7_5140) gene was predicted to be located on the surface of the oocyst wall. To verify its localization, an indirect immunofluorescent antibody assay (IFA) demonstrated that the Cpcgd7_5140 was localized on the surface of the oocyst wall, illustrating the potential usage as a marker for C. parvum detection in vitro. The results provide new information about the proteomic composition of the Cryptosporidium oocyst wall, thereby providing a theoretical basis for further study of Cryptosporidium oocyst wall formation as well as the selection of targets for Cryptosporidium detection.
2022-10-05 | PXD029431 | Pride
Project description:Vanee2010 - Genome-scale metabolic model of
Cryptosporidium hominis (iNV213)
This model is described in the article:
A genome-scale metabolic
model of Cryptosporidium hominis.
Vanee N, Roberts SB, Fong SS, Manque
P, Buck GA.
Chem. Biodivers. 2010 May; 7(5):
1026-1039
Abstract:
The apicomplexan Cryptosporidium is a protozoan parasite of
humans and other mammals. Cryptosporidium species cause acute
gastroenteritis and diarrheal disease in healthy humans and
animals, and cause life-threatening infection in
immunocompromised individuals such as people with AIDS. The
parasite has a one-host life cycle and commonly invades
intestinal epithelial cells. The current genome annotation of
C. hominis, the most serious human pathogen, predicts 3884
genes of which ca. 1581 have predicted functional annotations.
Using a combination of bioinformatics analysis, biochemical
evidence, and high-throughput data, we have constructed a
genome-scale metabolic model of C. hominis. The model is
comprised of 213 gene-associated enzymes involved in 540
reactions among the major metabolic pathways and provides a
link between the genotype and the phenotype of the organism,
making it possible to study and predict behavior based upon
genome content. This model was also used to analyze the two
life stages of the parasite by integrating the stage-specific
proteomic data for oocyst and sporozoite stages. Overall, this
model provides a computational framework to systematically
study and analyze various functional behaviors of C. hominis
with respect to its life cycle and pathogenicity.
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2015-07-30 | MODEL1507180071 | BioModels