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Prep station and digital analyzer

Manufactured by NanoString

The Prep Station is a sample preparation instrument that automates the process of preparing samples for analysis on NanoString's Digital Analyzer. The Digital Analyzer is an imaging system that quantifies the expression of multiple target genes simultaneously using NanoString's proprietary molecular barcoding technology.

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2 protocols using prep station and digital analyzer

1

NanoString RNA Expression Analysis

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Harvested HAECs were washed and lysed, and RNA was isolated using the reagents and procedures supplied in a kit (RNAeasy Plus; Qiagen, Hilden, Germany). RNA quality was confirmed, and concentrations were determined by nanodrop.
The RNA was cleaned and concentrated using a kit (Zymo Research, Irvine, CA) and eluted in RNase-free water. One hundred nanograms was added to the Reporter CodeSet and Capture ProbeSet of the premade Human Inflammation Panel (NanoString Technologies, Seattle, WA) and hybridized overnight at 65°C, per the manufacturer’s protocol. Samples were subsequently processed on a NanoString Technologies Prep station and Digital Analyzer, and the data were analyzed with this company’s nSolver 4.0 Software. Volcano plots were generated by using R version 3.5.0. with packages ggplot2, dplyr, and ggrepel.
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2

NanoString RNA Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Harvested HAECs were washed and lysed, and RNA was isolated using the reagents and procedures supplied in a kit (RNAeasy Plus; Qiagen, Hilden, Germany). RNA quality was confirmed, and concentrations were determined by nanodrop.
The RNA was cleaned and concentrated using a kit (Zymo Research, Irvine, CA) and eluted in RNase-free water. One hundred nanograms was added to the Reporter CodeSet and Capture ProbeSet of the premade Human Inflammation Panel (NanoString Technologies, Seattle, WA) and hybridized overnight at 65°C, per the manufacturer’s protocol. Samples were subsequently processed on a NanoString Technologies Prep station and Digital Analyzer, and the data were analyzed with this company’s nSolver 4.0 Software. Volcano plots were generated by using R version 3.5.0. with packages ggplot2, dplyr, and ggrepel.
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