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Ncounter digital analyzer system

Manufactured by NanoString

The NCounter Digital Analyzer system is a versatile laboratory instrument designed for high-throughput gene expression and molecular profiling applications. The system utilizes a unique digital technology to quantify and analyze multiple target molecules, including RNA, DNA, and proteins, in a single sample. The NCounter Digital Analyzer system provides accurate and reproducible results, enabling researchers to gain insights into complex biological processes.

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4 protocols using ncounter digital analyzer system

1

NASH Gene Expression Profiling

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All NASH subjects with sufficient remaining formalin-fixed, paraffin-embedded (FFPE) hepatic tissue for RNA extraction (n=47) were included for gene expression profiling. Briefly, total RNA was extracted from five 5-μm-thick FFPE tissue sections using the High Pure RNA paraffin kit (Roche). Gene expression profiling was performed using 100–400ng total RNA by using nCounter Digital Analyzer system (NanoString) according to the manufacturer’s instructions. Raw transcript count data were log transformed and scaled by geometric mean of control probe data by using NanoString normalizer module implemented in GenePattern genomic analysis toolkit (www.broadinstitute.org/cancer/software/genepattern). Gene expression dataset is available at National Center for Biotechnology Information Gene Expression Omnibus database (accession number: GSE 69248).
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2

Gene Expression Profiling of Liver Biopsies

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The 186-gene signature was implemented in the digital transcript counting (nCounter) assay (NanoString). Expression profiling was performed with 100ng to 400ng total RNA by using nCounter Digital Analyzer system (NanoString) according to manufacturer's instruction. For the analysis of the training cohort, the first generation of reagent plate (“white” Prep Plate) was used. For the validation cohort, newer version (“green” New Prep Plate) with improved sensitivity for signal detection was used. Poor quality profiles were detected based on maximum signal intensity from positive control probes <8,000U for the older reagent plate, and median signal intensity >100U for the newer reagent plate according to manufacturer’s recommendation. Raw transcript count data were log-transformed and scaled by geometric mean of control probe data by using NanoString normalizer module implemented in GenePattern genomic analysis toolkit (www.broadinstitute.org/genepattern). Genome-wide expression profiling for paired biopsies and explanted liver was performed by using whole-genome DASL assay (Illumina) according to manufacturer's instruction. Scanned data were extracted by Genome Studio software ver.3 (Illumina), and normalized by cubic spline algorithm implemented in GenePattern Illumina Normalizer module as previously described.18 (link)
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3

Corneal Wound Fibrosis Analysis

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At day 14 (2 weeks after injury), wounded corneas were harvested and homogenized in TRIzol reagent by an automated tissue homogenizer (Bead Ruptor 12, Omni International). All mRNA was isolated and purified using the RNeasy PLUS microkit system (Qiagen, Hilden, Germany) for NanoString analyses. Samples harvested on day 14 were evaluated by the NanoString Fibrosis panel (XT-CSO-MFIB2-12, NanoString Technologies Inc.). One hundred nanograms of mRNA from each sample was added to a barcoded probe-set mixture and hybridized for 20 hours at 65°C. Hybridized samples were further processed using the NanoString Prep Station operating under high sensitivity mode, and mRNA target transcripts were counted using the nCounter digital analyzer system (NanoString).
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4

Transcriptomic Profiling of FFPE Samples

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For RNA isolation, three 20 mm sections from formalin-fixed paraffin-embedded (FFPE) blocks were processed with RecoverAll TM Total Nucleic Acid Isolation Kit for FFPE (Life Technologies, Thermo Fisher Inc., Waltham, MA) according to manufacturer's instructions. Thereafter, a total of 100 ng of RNA was hybridized with the 770-gene nCounter PanCancer IO 360 TM Panel codeset (NanoString Technologies, Seattle, WA) and analyzed with the nCounter Digital Analyzer system (NanoString Technologies). The quality of the data was confirmed by using the default quality control settings in nSolver 3.0 software (NanoString Technologies). Thereafter, the data were normalized using the geNorm algorithm implemented in nSolver Advanced Analysis plug-in, and log2 was transformed for subsequent analyses, which were performed by R version 4.0.2. Genes expressed in <10% of the samples, based on negative control geometric mean thresholding, were filtered out from the analyses. This resulted in the final dataset of 729 genes. For differential gene expression analysis, R package "limma" was used [18] (link).
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