nCounter® PlexSet™ Reagents
Helping Your Research
Accelerate your cell line screening and high-throughput applications with nCounter PlexSet Reagents for Gene Expression Analysis. PlexSet technology enables multiplexed gene expression assays to be performed more efficiently and cost effectively for projects ranging up to 96 RNA targets. Unlike other gene expression technologies, PlexSet reagents enable researchers to reduce their hands-on time by eliminating the need for cDNA conversion, replicate utilization, or RNA purification. Like other nCounter assays, Plexset reagents provides a simple and robust method for multiplexing targets without the need to optimize probes or amplification conditions.
How It Works
The PlexSet reagents are based on proven nCounter technology utilizing molecular barcodes for highly multiplexed digital analysis.
Multiplex up to 96 custom probes (or choose from preselected pathway panels) across 96 samples to generate 9,216 data points per run with only 30 minutes of hands-on time
Utilization of lysed cells eliminates the need for RNA purification and amplification; save resources with an efficient workflow that does not require cDNA conversions, replicates, or prior probe optimizations
Proven nCounter Digital Gene Expression technology provides excellent precision and reproducibility across a wide dynamic range
Panel Selection Tool
Find the gene expression panel for your research with easy to use panel proFind Your Panel
Looking for recommendations on panels in your application area? Check out the NanoString Panel Pro selection tool. Browse our catalog of preselected pathway panels by name, application area, biologic pathway/process, or gene name(s).
- Expertly curated panels covering ~140 biological pathways and fields of interest for human, mouse, and rat samples.
- Each panel contains 90 genes chosen to comprehensively cover each pathway involved in the topic.
- All necessary controls and reference genes are included in each panel.
- Customize by adding additional genes of interest to the panels (or omitting genes that are not of interest).
Bioaminergic Responses in an In Vitro System Studying Human Gut Microbiota–Kiwifruit Interactions.
Hormonal Receptor Status Determines Prognostic Significance of FGFR2 in Invasive Breast Carcinoma.
Interaction between fibroblast growth factor receptor 2 (FGFR2) and estrogen/progesterone receptors (ER/PR) affects resistance to anti-ER therapies, however the prognostic value of FGFR2 in breast cancer (BCa) remains largely unexplored. We have recently showed in vitro that FGFR2-mediated signaling alters PR activity and response to anti-ER treatment.