
nCounter® Metabolic Pathways Panel
Helping Your Research
Quantify the expression of hundreds of genes involved in core metabolic processes and immunometabolism for human or mouse samples in a reliable, simple, and robust way using the nCounter Metabolic Pathways Panel. Understand the complex mechanisms behind metabolic adaptation, metabolic switching, metabolic alterations, and study changes in mitochondrial respiration and glycolysis.
The Metabolic Pathways Panel helps advance efforts towards novel therapeutic targets that take advantage of altered metabolism in cancer and other diseases. Get results in less than 24 hours from multiple sample types with a workflow that maximizes insight and minimizes turnaround time:
- Quantify the presence and relative abundance of 14 different immune cell types for immunometabolism studies
- Bypass RT and amplification by direct detection, yielding highly reproducible data
- Process your samples with < 30 minutes hands-on time and get results in < 24 hours
- Receive publication-ready figures with off-the-shelf data analysis with nSolver™ Data Analysis Software


Publications
Spatially resolved transcriptomics and its applications in cancer
Spatially resolved transcriptomics (SRT) offers the promise of understanding cells and their modes of dysfunction in the context of intact tissues. Technologies for SRT have advanced rapidly with a large number being published in recent years.
NUPR1 is a critical repressor of ferroptosis.
Ferroptosis is a type of iron-dependent regulated cell death, representing an emerging disease-modulatory mechanism. Transcription factors play multiple roles in ferroptosis, although the key regulator for ferroptosis in iron metabolism remains elusive.
Predictive Value of Circulating miRNAs in Lymph Node Metastasis for Colon Cancer.
(1) Background: Lymph node (LN) status is an indubitable prognostic factor for survival among colon cancer patients. MicroRNAs (miRNAs) have been implicated in the development and progression of many cancers and are potential biomarkers for cancer diagnosis and prognosis.

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