Project description:Objective:This study aims to discover circulating exosomal miRNAs as potential noninvasive biomarkers early detection of fetus with ventricular septal defect (VSD). Method:A total of 182 pregnant women including 91 VSD cases and 91 matched controls were included in this study. Exosomes were isolated and next-generation sequencing was used to obtain a profile of dysregulated exosomal miRNA. The differential abundance was verified by quantitative real-time PCR (q RT-PCR). . Receiver operating characteristic (ROC) curves were conducted to evaluate the diagnostic accucary Results: 77 serum exosomal miRNA were uncovered to be differentially expressed in the VSD group as compared to the control group. Among these, five down-regulated exosomal miRNA were validated by qRT-PCR. hsa-miR-146a-5p was identified to be capable of distinguishing VSDs from controls (area under the ROC (AUC): 0.997; p < 2.2e-16). Conclusion: circulating exosomal miRNA, in particular, hsa-miR-146a-5pmay be a predictive biomarker for non-invasive prenatal diagnosis of fetal VSDs.

2021-06-05 | GSE176134 | GEO

The miRNA expression profiles of serum microvesicles in acute ischemic stroke patients and healthy controls using high-throughput sequencing

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: The serum microvesicles of five acute ischemic stroke (AIS) and healthy controls was purified using Ribo™ Exosome Isolation Reagent (C10110-2, RIBOBIO, Guangzhou, China) and analyzed by flow cytometry and nanoparticle tracking analysis (NTA).The miRNA expression profiles of serum microvesicles of five acute ischemic stroke (AIS) and healthy controls were detected by RNA-seq using llumina HiSeqTM 2500. Results: Using an optimized data analysis workflow, 732 miRNA species were detected in total. The levels of 51 individual miRNA species were significantly different between AIS patients and healthy controls. Conclusions: Our study represents the first detailed analysis of miRNA expression profiles of serum microvesicles in AIS and healthy controls, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of miRNA content in serum microvesicles. We conclude that RNA-seq based non-coding RNA characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

2022-04-04 | GSE199942 | GEO

Overexpression of miRNA-5100 with PEI-NPs led to change in expression of many mRNAs

Project description:The aim of this study was to identify miRNAs that regulate AKI and develop their applications as diagnostic biomarkers and therapeutic agents. First, kidney tissues from two different AKI mouse models, namely, AKI induced by the administration of lipopolysaccharide (LPS) causing sepsis (LPS-AKI mice) and AKI induced by renal ischemia–reperfusion injury (IRI-AKI mice), were exhaustively screened for their changes of miRNA expression compared with that of control mice by microarray analysis followed by quantitative RT-PCR. The initial profiling newly identified miRNA-5100, whose expression levels significantly decreased in kidneys in both LPS-AKI mice and IRI-AKI mice. Next, the administration of miRNA-5100-mimic conjugated with a nonviral vector, polyethylenimine nanoparticles (PEI-NPs), via the tail vein significantly induced miRNA-5100 overexpression in the kidney and prevented the development of IRI-AKI mice by inhibiting apoptosis and inflammation in vivo. Furthermore, serum levels of miRNA-5100 in patients with AKI were identified as significantly lower than those of healthy subjects. ROC analysis showed that the serum expression level of miRNA-5100 can identify AKI (cut-off value 0.14, AUC 0.96, sensitivity 1.00, specificity 0.833, p<0.05). These results suggest that miRNA-5100 regulates AKI and may be useful as a novel diagnostic biomarker and therapeutic target for AKI.

2021-05-14 | GSE172042 | GEO

miRNA profilng in IL-2 induced CD4+T cells

Project description:To evaluate role of miRNAs in proliferation and death of T cell, we performed miRNA profiling in activated CD4+T cells after IL-2 induction and depletion. Proliferation rate of IL-2 induced cells was measured by MTT assay. Then quantitative RT-PCR arrays on 739 miRNAs revealed up- and down-regulation of 170 miRNAs in IL-2 induced CD4+T cells relative to IL-2 depleted ones.

2015-05-07 | GSE68609 | GEO

Comparative microarray analysis of microRNA expression profiles in primary cutaneous malignant melanoma, cutaneous malignant melanoma metastases and benign melanocytic naevi

Project description:Perturbations in microRNA (miRNA) expression profiles has been reported for cutaneous malignant melanoma (CMM). With regards to a rapidly growing number of newly discovered miRNA sequences, the availability of up-to-date miRNA expression profiles for primary cutaneous malignant melanoma (PCMM), cutaneous malignant melanoma metastases (CMMM) and benign melanocytic naevi (BMN) is limited. Patients with PCMM (n=9), CMMM (n=4) and BMN (n=8) were included in the study. Specimens were obtained during surgery from the center of the tumors (lesional). An exploratory microarray analysis was performed by miRNA expression profiling based on miRBase V.16. Additionally, the expression levels of selected miRNA candidates were confirmed by TaqMan real-time quantitative polymerase chain reaction (RT-PCR). New miRNA candidates previously not described to be associated with CMM were found to be potentially dysregulated in CMM.

2012-11-02 | GSE34460 | GEO

Real-time quantitative PCR analysis of human serum

Project description:Real-time quantitative PCR analysis of human serum

| PRJNA714377 | ENA