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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptome profile in IEC 4.1 cells in response to Cryptosporidium parvum

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptome profile in IEC 4.1 cells in response to Cryptosporidium parvum

PROVIDER: PRJNA607267 | ENA |

REPOSITORIES: ENA

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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptome profile in IEC 4.1 cells in response to Cryptosporidium parvum

Project description: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. Total RNA was collected for the genome-wide analysis using RNA-seq

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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptome profile in IEC 4.1-WT and IEC4.1-Ifnar1-/- KO cells (C12 KO) in response to Cryptosporidium parvum

Project description:This study aims to measure the impact of Ifnar1-/- knockdown (KO) on the transcriptome profile in cultured IEC 4.1 cell in response to C. parvum infection. IEC4.1-WT cells and IEC4.1-Ifnar1-/- cells (stably CRISPR/Cas9 knockout; C12 KO cells) were exposed to C. parvum infection. Cells treated with a scrambled non-specific siRNA were used as the control. Total RNA was collected for the genome-wide analysis.

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Next-generation sequencing facilitates quantitative analysis of transcriptome profile in IEC 4.1 cells in response to CSpV1 RNA transfection

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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.

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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptome profile in IEC 4.1-WT and IEC4.1-Ifnar1-/- KO cells (C12 KO) in response to Cryptosporidium parvum

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