
nCounter® miRNA Expression Panels
Helping Your Research
Conventional technologies for small RNA profiling like RNAseq can be costly, onerous, and require complex data analysis. In addition, they require RNA purification and multiple enzymatic steps that can be challenging for biofluid samples like serum and plasma. When developing reliable and robust miRNA signatures for different diseases, you need a robust and reliable platform that works well with multiple sample types.
nCounter miRNA Expression Panels utilize NanoString’s amplification-free technology to do expression profiling by direct quantification of individual RNA molecules. The assay detects miRNAs without the use of reverse transcription or amplification by using molecular barcodes. Therefore, it is easier and faster to validate miRNA biomarkers as compared to RNASeq or PCR-based platforms and the results are highly reproducible. With nCounter miRNA Expression Panels, you can:
- Reliably detect and quantitate the most biologically relevant human or mouse miRNAs directly from FFPE, blood, or biofluids
- Skip laborious library prep and process your samples with less than one hour of hands-on time
- Experience unparalleled reproducibility and specificity with a dynamic range of six logs
- Receive publication-ready figures within 24 hours with robust, off-the-shelf data analysis solutions
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Related Resources
Publications
Mapping the Immune Cell Microenvironment with Spatial Profiling in Muscle Tissue Injected with the Venom of Daboia russelii
Pathological and inflammatory events in muscle after the injection of snake venoms vary in different regions of the affected tissue and at different time intervals. In order to study such heterogeneity in the immune cell microenvironment, a murine model of muscle necrosis based on the injection of the venom of Daboia russelii was used.
Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury
Severe lung damage resulting from COVID-19 involves complex interactions between diverse populations of immune and stromal cells. In this study, we used a spatial transcriptomics approach to delineate the cells, pathways, and genes present across the spectrum of histopathological damage in COVID-19-affected lung tissue.
Digital Spatial Profiling of Glomerular Gene Expression in Pauci-Immune Focal Necrotizing Glomerulonephritis
Pauci-immune focal necrotizing glomerulonephritis (piFNGN) involves asynchronous onset and progression of injurious lesions in biopsies. Pathologists can describe this heterogeneity within a biopsy, but translating the information into prognostic or expression analyses is challenging.
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