Ncounter advanced analysis module v 2

Manufactured by NanoString

Sourced in United States

The NCounter Advanced Analysis module v. 2.0.115 is a software tool designed to analyze data generated from the NanoString nCounter platform. It provides advanced data analysis capabilities for researchers to process, visualize, and interpret their nCounter gene expression data.

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Lab products found in correlation

Ncounter master kit, by NanoString (1 mentions) Allprep dna rna mini kit, by Qiagen (1 mentions) Ncounter analysis system, by NanoString (1 mentions) Nsolver analysis software v4, by NanoString (1 mentions) Immune exhaustion panel v1, by NanoString (1 mentions) Ncounter platform, by NanoString (1 mentions)

2 protocols using ncounter advanced analysis module v 2

Colonic RNA and DNA Extraction

Cited 1 time

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Colonic mucosal RNA and DNA was isolated using AllPrep DNA/RNA Mini Kit (Qiagen, Catalog No. 80204) using the protocol previously described (Harrison et al., 2018 (link)). The protocol was slightly modified to include a bead-beating step. Expression of inflammation-related genes was assessed using nCounter Inflammation Panel (Mouse v2) codecs, nCounter Master Kit (NanoString Technologies, Seattle, WA), and the NanoString nCounter® Analysis System at the University of Arizona Genetics Core facility. Data were analyzed using nSolver Analysis software v4.0 with the nCounter Advanced Analysis module v. 2.0.115 (NanoString Technologies).

Yu S., Balasubramanian I., Laubitz D., Tong K., Bandyopadhyay S., Lin X., Flores J., Singh R., Liu Y., Macazana C., Zhao Y., Béguet-Crespel F., Patil K., Midura-Kiela M.T., Wang D., Yap G.S., Ferraris R.P., Wei Z., Bonder E.M., Häggblom M.M., Zhang L., Douard V., Verzi M.P., Cadwell K., Kiela P.R, & Gao N. (2020). Paneth cell-derived lysozyme defines the composition of mucolytic microbiota and the inflammatory tone of the intestine. Immunity, 53(2), 398-416.e8.

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Comprehensive Immune Exhaustion Analysis

Cited 3 times

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RNA isolation was conducted as described recently [27 (link)]. Immune-exhaustion expression analysis was performed using the Nanostring nCounter^® Platform, the Immune Exhaustion Panel v1, Nanostring nSolver™ software v4 as well as the nCounter^® Advanced Analysis module v2.0.115 (Nanostring, Seattle, WA, USA), as indicated previously [27 (link)]. iCCA patients were classified into two groups based on the presence or absence of active autophagy, as determined by prior IHC analysis. To identify enriched genes associated with overrepresented gene ontologies based on REACTOME_pathways (updated 15 November 2022), functional classification and network annotation were performed using ClueGO v.2.5.6 and CluePedia v.1.5.6. [30 (link),31 (link)].

Bankov K., Schulze F., Gretser S., Reis H., Abedin N., Finkelmeier F., Trojan J., Zeuzem S., Schnitzbauer A.A., Walter D., Wild P.J, & Kinzler M.N. (2023). Active Autophagy Is Associated with Favorable Outcome in Patients with Surgically Resected Cholangiocarcinoma. Cancers, 15(17), 4322.

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