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
Project description:Implementation and evaluation of tests (PCR, ELISA, NGS) for the presence of viruses, viroids and phytoplasma in propagation materials of apple. Research and application of new sanitation techniques using promising antiviral substances, or cryo-knife. Confirmation of health status of sanitated cultivars including use of modern diagnostic methods such as high-throughput sequencing (NGS).
Project description:Global miRNA expression profiling of human malignancies is gaining popularity in both basic and clinically driven research. But to date, the majority of such analyses have used microarrays and quantitative real-time PCR. With the introduction of digital count technologies, such as next-generation sequencing (NGS) and the NanoString nCounter System, we have at our disposal, many more options. To make effective use of these different platforms, the strengths and pitfalls of several miRNA profiling technologies were assessed, including a microarray platform, NGS technologies and the NanoString nCounter System. These results were compared to gold-standard quantitative real-time PCR.
Project description:Global miRNA expression profiling of human malignancies is gaining popularity in both basic and clinically driven research. But to date, the majority of such analyses have used microarrays and quantitative real-time PCR. With the introduction of digital count technologies, such as next-generation sequencing (NGS) and the NanoString nCounter System, we have at our disposal, many more options. To make effective use of these different platforms, the strengths and pitfalls of several miRNA profiling technologies were assessed, including a microarray platform, NGS technologies and the NanoString nCounter System. These results were compared to gold-standard quantitative real-time PCR.
Project description:Introduction: Parkinson's disease (PD), typically developing between the ages of 55 and 65 years, is a common neurodegenerative disorder caused by a progressive loss of dopaminergic neurons due to the accumulation of α-synuclein in the substantia nigra. Mitochondria are known to play a key role in cell respiratory function and bioenergetic. Indeed, mitochondrial dysfunction causes an insufficient energy production required to satisfy the needs of several organs, especially the nervous system. Material and methods: The present study explored the mRNA expression of mitochondrial DNA (mtDNA) encoded respiratory chain (RC) subunits in PD patients by using the next generation sequencing analysis (NGS) and the quantitative real-time PCR (qRT-PCR) assay for the confirmation of the NGS results. Results: All tested mitochondrial RC subunits was significantly over-expressed in subjects with PD compared to normal controls . In qRT-PCR the mean expression of all mitochondrial subunits had an expression level of at least 7 times compared to controls. Conclusion: The over-expression of mitochondrial subunits in PD subjects might be secondary to a degeneration-related alteration of the mitochondrial structure or dynamics or to the occurrence of a compensatory mechanism. The study of specific mRNA by peripheral blood mononuclear cells (PBMCs) may provide a better diagnostic frame to early detect PD cases.