Dataset Information

MicroRNA expression profile of HCT-8 cells in the early phase of Cryptosporidium parvum infection.

ABSTRACT:

Background

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.

Results

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.

Conclusions

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.

SUBMITTER: Wang C

PROVIDER: S-EPMC6332841 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Publications

MicroRNA expression profile of HCT-8 cells in the early phase of Cryptosporidium parvum infection.

Wang Chenrong C Liu Limin L Zhu Huili H Zhang Lu L Wang Rongjun R Zhang Zhenjie Z Huang Jianying J Zhang Sumei S Jian Fuchun F Ning Changshen C Zhang Longxian L

BMC genomics 20190114 1

<h4>Background</h4>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.<h4>Results</h4>Twenty miRNAs were differentially expressed after ...[more]

PMID: 30642246

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Project description:BackgroundCryptosporidium species are zoonotic protozoans that are important causes of diarrhoeal disease in both humans and animals. Non-coding RNAs (ncRNAs) play an important role in the innate immune defense against Cryptosporidium infection, but the underlying molecular mechanisms in the interaction between human ileocecal adenocarcinoma (HCT-8) cells and Cryptosporidium species have not been entirely revealed.MethodsThe expression profiles of messenger RNAs (mRNAs), long non-coding RNAs (lncRNAs), microRNAs (miRNAs) and circular RNAs (circRNAs) in the early phase of infection of HCT-8 cells with Cryptosporidium parvum and at 3 and 12 h post infection were analyzed using the RNA-sequencing technique. The biological functions of differentially expressed RNAs (dif-RNAs) were discovered through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The targeting relationships between three ncRNAs and mRNAs were analyzed using bioinformatics methods, followed by building a competing endogenous RNA (ceRNA) regulatory network centered on miRNAs.ResultsAfter strictly filtering the raw data, our analysis revealed 393 dif-lncRNAs, 69 dif-miRNAs and 115 dif-mRNAs at 3 hpi, and 450 dif-lncRNAs, 129 dif-miRNAs, 117 dif-mRNAs and one dif-circRNA at 12 hpi. Of these, 94 dif-lncRNAs, 24 dif-miRNAs and 22 dif-mRNAs were detected at both post-infection time points. Eleven dif-lncRNAs, seven dif-miRNAs, eight dif-mRNAs and one circRNA were randomly selected and confirmed using the quantitative real-time PCR. Bioinformatics analyses showed that the dif-mRNAs were significantly enriched in nutritional absorption, metabolic processes and metabolism-related pathways, while the dif-lncRNAs were mainly involved in the pathways related to the infection and pathogenicity of C. parvum (e.g. tight junction protein) and immune-related pathways (e.g. cell adhesion molecules). In contrast, dif-miRNAs and dif-circRNA were significantly enriched in apoptosis and apoptosis-related pathways. Among the downregulated RNAs, the miRNAs has-miR-324-3p and hsa-miR-3127-5p appear to be crucial miRNAs which could negatively regulate circRNA, lncRNA and mRNA.ConclusionsThe whole transcriptome profiles of HCT-8 cells infected with C. parvum were obtained in this study. The results of the GO and KEGG pathway analyses suggest significant roles for these dif-RNAs during the course of C. parvum infection. A ceRNA regulation network containing miRNA at its center was constructed for the first time, with hsa-miR-324-3p and hsa-miR-3127-5p being the crucial miRNAs. These findings provide novel insights into the responses of human intestinal epithelial cells to C. parvum infection.

Project description:• 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). Purified oocysts were suspended in phosphate buffered saline, sterilised in 33% bleach for 7 min on ice, washed in Hank's buffered saline solution, and added to HCT-8 cultures at a ratio of one oocyst per cell. Following a 2 h excystation period at 37 °C, cells were washed with warm Hank's buffered saline solution, and cells were incubated in fresh supplemented media. Mock-infected cultures were treated identically, with the exception that oocysts were not added to the cultures. Three independent mock- and C. parvum-infected cultures were prepared for analysis. • The origin of mRNA samples At 6, 12, 24, 48, and 72h post-inoculation, cell culture media were removed and cultures were immediately lysed by the addition of 3.5 ml of Trizol® reagent (GIBCO BRL Life Technologies) directly to the culture plate. Total RNA was prepared as described by the manufacturer, and poly(A) mRNA was isolated using oligo-dT cellulose columns (Amersham Pharmacia Biotech). The qualities of total RNA and poly(A) mRNA preparations were assessed by Northern blot. • Protocols for conducting microarray hybridization Poly(A) mRNA was converted into ‘target’ suitable for hybridisation to Affymetrix microarray chips according to protocols provided by Affymetrix Inc. (Santa Clara, CA). Briefly, 2.0 g of poly(A) mRNA was reverse-transcribed to prepare double-stranded cDNA using T7-(dT)24 primer (GENSET Corp., La Jolla, CA) and Superscript II reverse transcriptase (GIBCO). Approximately 1 g of cDNA was used for in vitro transcription in the presence of biotinylated UTP and CTP using the Enzo BioArray High Yield RNA Transcript Labelling Kit (Enzo Diagnostics, Inc). This labelled cRNA was fragmented in 40 mM Tris–acetate (pH 8.1), 100 mM potassium acetate, and 30 mM magnesium acetate at 94 °C for 35 min. The integrity of cRNA and the efficiency of fragmentation were monitored by Northern blot analysis (not shown). Fragmented biotinylated cRNA targets were hybridised to HG-U95Av2 chips (Affymetrix) that contain probe sets for 12,600 human gene/transcripts. Fifteen micrograms of fragmented cRNA and appropriate controls were hybridised to the chips at 45 °C for 16 h with constant rotation at 60 rev./min. The chips were subsequently washed and stained with streptavidin–phycoerythrin conjugate using the GeneChip Fluidics station protocol EukGE_WS2 (Affymetrix). Following washing and staining, microarray chips were scanned twice at 3 m resolution using a Hewlett-Packard confocal scanner and hybridisation intensities for each of the genes/transcripts were collected from scanned images. • Analysis of microarray data Gene expression data were initially analysed with the GeneChip® expression analysis software (Affymetrix Microarray Suite, version 5.0). The fluorescence intensity of the genes/transcripts was measured for each probe array and, to minimise discrepancies due to non-biological variations, normalised by global scaling to 1000. Further data analyses were performed using GeneSpring software (version 6.0; Silicon Genetics, Redwood City, CA). Per gene normalisation was applied in which the expression signal of each gene in C. parvum-infected cells (raw data) was normalised to the median of its measurements in the mock-infected samples (control); and the ratio of expression levels between mock and infected samples was calculated as the mean value of normalised signal vs. control signal among three replicates. To identify genes with significantly altered expression, a series of statistical analyses (filtering) were performed: cut-off values for ratio of expression levels 1.80 and 0.55 were used to filter genes with expression level fold changes greater than ±1.8 in all three independent samples. Genes with fold change variations >1.5 across the three samples were excluded. Furthermore, a ‘statistical group comparison’ using Student's t-test/ANOVA was conducted to compare mean expression levels between mock-infected and infected samples, and the genes with significant differential expression (P<0.05) were selected. Identified differentially expressed genes were then annotated using GeneSpring's ‘Build Simplified Ontology’ constructor which hierarchically groups genes into meaningful biological categories (gene lists) based on the Gene Ontology Consortium Classifications. Various lists of regulated genes were created by cross-referencing annotated gene lists and applying assorted statistical and visualisation methods. Keywords: time-course

Dataset Information

MicroRNA expression profile of HCT-8 cells in the early phase of Cryptosporidium parvum infection.

Background

Results

Conclusions

Publications

MicroRNA expression profile of HCT-8 cells in the early phase of Cryptosporidium parvum infection.

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