Nsolver analysis

Manufactured by NanoString

The NSolver Analysis is a core software component that enables the analysis and interpretation of data generated by NanoString's nCounter analysis system. It provides users with tools to process, visualize, and extract insights from complex biological datasets.

Automatically generated - may contain errors

Lab products found in correlation

Ncounter advanced analysis software, by NanoString (1 mentions) Ncounter pancancer pathways panel, by NanoString (1 mentions) Nsolver, by NanoString (1 mentions)

2 protocols using nsolver analysis

Multiplex Gene Expression Analysis of PDXOs

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100 ng of extracted RNA from PDXOs were subjected to multiplex gene expression analyses using nCounter PanCancer Pathways Panel (NanoString Technologies) on the NanoString nCounter SPRINT profiler system as per manufacturer’s instructions. A total of 770 genes (730 cancer-related human genes and 40 internal reference genes) were evaluated. Results were analyzed using nSolver Analysis and nCounter Advanced Analysis software (NanoString Technologies), in which gene expression levels were normalized to the in-built set of positive and negative control genes [44 (link)]. Differential expression of key transcriptomic pathways was compared between the treatment groups (Ixazomib, Dinaciclib, Ixa + Dina) and DMSO control, with fold change and P values calculated based on nSolver’s recommended default settings. A Venn diagram was constructed to determine overlapping genes with a fold change of ≥ ±2 between PDXO1, 11 and 12. Gene set analysis and global significance scores were calculated from differential expression analysis-derived t-statistics for genes in a particular gene set or pathway, as defined by the software.

Lim J.J., Hooi L., Dan Y.Y., Bonney G.K., Zhou L., Chow P.K., Chee C.E., Toh T.B, & Chow E.K. (2022). Rational drug combination design in patient-derived avatars reveals effective inhibition of hepatocellular carcinoma with proteasome and CDK inhibitors. Journal of Experimental & Clinical Cancer Research : CR, 41, 249.

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miRNA Profiling of CRC Responders

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miRs isolated from 12 pretreatment FFPE specimens of 6 non-and6 partial responders were compared using the NanoString Technology platform;3 μL of RNA was added to mi RNA tag ligation reaction with reporter and capture probes. Raw counts for each assay were collected using NanoString’s data analysis application nSolver. Normalization of the data was carried out using the NanoString nSolver analysis application, and each assay was normalized based on the mean counts of the 100 most-abundant miRNA. A total of 798 human miRs were profiled. Upregulated and downregulated miRs with differences >1.5-fold between groups were identified. Among these 14 candidate miRs, those significantly altered in CRC were the focus of further investigation.

Kelley K.A., Ruhl R.A., Rana S.R., Dewey E., Espinosa C., Thomas CR J.r., Martindale R.G., Anand S, & Tsikitis V.L. (2017). Understanding and Resetting Radiation Sensitivity in Rectal Cancer. Annals of surgery, 266(4), 610-616.

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