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Quantitative profiling of differentially expressed miRNAs in exosomes of siCTL- and siPRDX3-transfected HCT 116 cells

ABSTRACT: Purpose: The goal of this study is to compare exosomal small RNA transcriptome of HCT116 cells to identify the target of PRDX3 under basal or knock down conditions by utilizing miRNA-seq. Methods: miRNA profilies of siCTL or siPRDX3 transfected HCT 116 exosoems were generated by illumina sequencing method, in triplicate. After sequencing, the raw sequence reads are filtered based on quality.Sequence reads were mapped with the bowtie2 software tool, which yielded bam files. Mature miRNA sequences were used as references for mapping. Read counts mapped to a mature miRNA sequence were extracted from the alignment file using bedtools v2.25.0 and Bioconductor, which use the R statistical programming language. Read counts were used to determine the expression level of miRNAs. The CPM+TMM normalization method was used for between-sample comparison. Results: We identified known miRNA in species (miRDeep2) in the HCT116 exosome transfected with siCTL or siPRDX3. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of HCT116 exosomal miRNA profiles affected by PRDX3 knockdown with biologic replicates.

ORGANISM(S): Homo sapiens

PROVIDER: GSE247624 | GEO | 2025/01/01

REPOSITORIES: GEO

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Project description:Background/Aim: We investigated alterations in the expression of serum exosomal miRNAs with the progression of liver fibrosis and evaluated their clinical applicability as biomarkers. Methods: This study prospectively enrolled 71 patients who underwent liver biopsy at an academic hospital in Korea. Exosomes were extracted from serum samples, followed by next-generation sequencing (NGS) of miRNAs and targeted real-time quantitative polymerase chain reaction. A model was derived to discriminate advanced fibrosis based on miRNA levels and the performance of this model was evaluated. Validation of the effect of miRNA on liver fibrosis in vitro was followed. Methods: This study prospectively enrolled 71 patients who underwent liver biopsy at an academic hospital in Korea. Exosomes were extracted from serum samples, followed by next-generation sequencing (NGS) of miRNAs and targeted real-time quantitative polymerase chain reaction. A model was derived to discriminate advanced fibrosis based on miRNA levels and the performance of this model was evaluated. Validation of the effect of miRNA on liver fibrosis in vitro was followed. Results: NGS data revealed that exosomal miR-660-5p, miR-125a-5p, and miR-122 expression were changed significantly with the progression of liver fibrosis, of which miR-122 exhibited high read counts enough to be used as a biomarker. The level of exosomal miR-122 decreased as the pathologic fibrosis grade progressed and patients with biopsy-proven advanced fibrosis had significantly lower levels of exosomal miR-122 (P < 0.001) than those without advanced fibrosis. Exosomal miR-122 exhibited a fair performance in discriminating advanced fibrosis especially in combination with fibrosis-4 score and transient elastography. In a subgroup of patients with a non-viral etiology of liver disease, the performance of exosomal miR-122 as a biomarker was greatly improved. Inhibition of miR-122 expression increased the proliferation of the human hepatic stellate cell line, LX-2, and upregulated the expression of various fibrosis related proteins. Conclusion: Exosomal miR-122 may serve as a useful non-invasive biomarker for liver fibrosis, especially in patients with non-viral etiologies of chronic liver disease.

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Quantitative profiling of differentially expressed miRNAs in exosomes of siCTL- and siPRDX3-transfected HCT 116 cells

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