GEO DataSets

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3500

Platform:

GPL570

11 Samples

Download data: CEL

Analysis of cultured intestinal epithelial cells infected with Cryptosporidium hominis or parvum. Cryptosporidium parasites are pathogens of human intestinal epithelial cells. Results provide insight into the early pathogenesis of Cryptosporidium infection.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 3 individual, 4 infection sets

Platform:

GPL570

Series:

GSE7268

11 Samples

Download data: CEL

(Submitter supplied) Cryptosporidium parvum is an important opportunistic parasite pathogen for immunocompromised individuals and a common cause of diarrhea in young children in developing countries. Certain parasite molecules can be delivered into host epithelial cells and may act as effector molecules for parasite intracellular development. This study aims to measure the impact of transfection of a parasite low-protein coding potential RNA transcript, Cdg7_FLc_0990, on the transcriptome profile in intestinal epithelial cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

12 Samples

Download data: TXT

(Submitter supplied) 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). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL23111

12 Samples

Download data: TXT

(Submitter supplied) Cryptosporidium parvum is an important opportunistic parasite pathogen for immunocompromised individuals and a common cause of diarrhea in young children in developing countries. Certain parasite molecules can be delivered into host epithelial cells and may act as effector molecules for parasite intracellular development. This study aims to measure the impact of transfection of two parasite low-protein coding potential RNA transcripts, cdg2_FLc_0220 and cdg7_FLc_1000, on the transcriptome profile in intestinal epithelial cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

9 Samples

Download data: TXT

(Submitter supplied) The lincRNA-NR_033736 is an early-primary gene controlled by the type I IFN signaling in murine intestinal epithelial cells. This study aims to measure the impact of lincRNA-NR_033736 knockdown on the transcriptome profile in cultured IEC 4.1 in response to C. parvum infection. Cells were treated with a specific siRNA to knockdown lincRNA-NR_033736 and then exposed to C. parvum infection. Cells treated with a scrambled non-specific siRNA were used as the control. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23479

12 Samples

Download data: TXT

(Submitter supplied) • The origin of biological samples (In vitro infection of HCT-8 cells with Cryptosporidium parvum) Monolayers of the HCT-8 cells (ATCC CCL-244, American Type Culture Collection) were cultured in RPMI 1640 medium containing 10% fetal bovine serum and additional nutritional supplements. Cells in log phase were plated at 2×106 cells per 150 mm tissue culture dish and infected with sterilised Cryptosporidium parvum oocysts (Iowa strain). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2240

Platform:

GPL8300

18 Samples

Download data: CEL, EXP

Analysis of HCT-8 ileocecal epithelial cells at various time points up to 72 hours after infection with Cryptosporidium parvum, an obligate intracellular protozoan that is a major cause of gastrointestinal diseases. Results provide insight into the interaction between the host cell and C. parvum.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 infection, 3 other, 5 time sets

Platform:

GPL8300

Series:

GSE2077

18 Samples

Download data: CEL, EXP

(Submitter supplied) The production of IFN-γ is crucial for control of multiple enteric infections, but its impact on intestinal epithelial cells (IEC) is not well understood. Cryptosporidium parasites exclusively infect epithelial cells and the ability of interferons to activate the transcription factor STAT1 in IEC is required for parasite clearance. Here, the use of single cell RNA sequencing to profile IEC during infection revealed an increased proportion of mid-villus enterocytes during infection and induction of IFN-γ-dependent gene signatures that was comparable between uninfected and infected cells. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL30172 GPL19057

7 Samples

Download data: CSV, MTX, RDS, TSV

(Submitter supplied) This study is to investigate the potential impact of an lncRNA NR_126553 (Nostril) in murine intestinal epithelial cells (IEC4.1 cells) in response to IFN-gamma protein (IFNγ) stimulation. NR_126553 (Nostril) was knocked down by using a pool of gene specific siRNA (SiNostril). Cells treated with scramble non-specific siRNA were used as control (siNegative control). After siRNA transfection 24h, cells were treated with or without mouse IFNγ (1ng/ml for 4hrs). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28457

12 Samples

Download data: TXT