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Ncounter max

Manufactured by NanoString
Sourced in United States

The NCounter MAX is a digital analysis system that quantifies the expression of multiple genes simultaneously from a single biological sample. It utilizes a unique molecular barcoding technology to precisely measure gene expression levels.

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4 protocols using ncounter max

1

Transcriptome Profiling of Liver Tissues

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Total RNA was extracted from the liver tissues using a RNeasy Mini Kit (QIAGEN, Hilden, Germany) with DNase I treatment (QIAGEN). Gene expression profiles were analyzed using nCounter MAX (NanoString Technologies, Seattle, WA, USA). The nCounter PanCancer Immune Profiling Panel (NanoString Technologies) was used for gene set profiling, as previously described [4 (link)].
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2

NanoString PanCancer Immune Profiling

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Gene expression profiles were analyzed using nCounter MAX (NanoString Technologies, Seattle, WA, USA). The total reaction volume was 15 µL, containing 100 ng of RNA, reporter probes, and capture probes. The nCounter PanCancer Immune Profiling Panel (NanoString Technologies) was used for gene set profiling. Quality control and normalization of the raw data were performed using nSolver Analysis Software v4.0 (NanoString Technologies).
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3

Comprehensive Neutrophil Transcriptome Analysis

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Purified blood neutrophils were stored in RLT buffer (Qiagen) with 1% 2-mercaptoethanol (Sigma Aldrich) at −80 °C until RNA extraction as above. The single-cell immunology v2 kit (NanoString) was used with 20 pre-amp cycles for all samples. Hybridized samples were prepared on a Prep Station and scanned on a nCounter MAX (NanoString). Raw counts were analyzed using DESeq2 with internal normalization, which gave lower variance than normalizing to included housekeeping genes. DEGs were identified using a model matrix correcting for repeated individual measurements.
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4

Profiling Blood Neutrophil Transcriptomes

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Purified blood neutrophils were stored in RLT buffer (Qiagen) with 1% 2-mercaptoethanol (Sigma) at -80C until RNA extraction as above. The single cell immunology v2 kit (Nanostring) was used with 20 pre-amp cycles for all samples. Hybridized samples were prepared on a Prep Station and scanned on a nCounter® MAX (Nanostring). Raw counts were analysed using DESeq2 using internal normalization, which gave lower variance than normalizing to included housekeeping genes. DEG were identified using a model matrix correcting for repeated individual measurements.
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