Drive Research Efficiency with Fit for Purpose Gene Expression Solutions

Optimize Your Workflow with nCounter® Analysis

Optimize Your Workflow with nCounter® Analysis

As scientific research continues to grow in complexity, it becomes increasingly crucial to develop an ecosystem of specialized fit for purpose gene expression solutions, each designed to address specific challenges. These fit for purpose gene expression solutions will enhance the overall efficiency and accuracy of the research process.  

Establishing an ecosystem with fit for purpose gene expression solutions enables: 

  • Enhanced experimental results 
  • Increased productivity 
  • Better utilization of resources 
  • Innovation cultivation 
  • Enhanced adaptability and flexibility 
  • Time and money savings 

The Benefits of Integrating nCounter Into Your Lab Ecosystem 

Many labs are equipped with gene expression technologies and instrumentation that are actually highly complementary of one another. Common lab equipment includes PCR and NGS instruments. Having access to nCounter® direct detection analysis also offers unique benefits that complement the ecosystem. The benefits of utilizing all these fit for purpose gene expression solutions includes expedited results and enhanced research efficiency.

Key Applications to Maximize Lab Efficiencies

There are many applications that would benefit from utilizing fit for purpose gene expression solutions. Integrating the nCounter Analysis System into workflows that include translational research and pathway-based applications is a great start to enhancing efficiencies in your lab.

Spotlight on Success

nCounter Analysis System Strengths 

Actionable Answers
Simple and Efficient Workflow
Reduced Variability
Speed
Easy Data Analysis
Actionable Answers

Actionable Answers

nCounter’s thematic gene expression panels were developed using amassed sequencing knowledge and input from industry experts. The panels are designed to deliver actionable biology versus just more data.

nCounter-BioMarker-Discovery
nCounter Treemap
Simple and Efficient Workflow

Simple and Efficient Workflow

The nCounter workflow requires much less hands-on time than other tools. The nCounter workflow features walk-away automation and less than 15 minutes of hands-on time. Most protocols require only 4 pipetting steps. Automation also makes it easy to scale for many samples.

Simple and Efficient Workflow
Reduced Variability

Reduced Variability

The nCounter chemistry requires a limited number of steps, which reduces potential sources of variability.

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Speed

Speed

Get results in less than 24 hours with the nCounter Analysis System.

When Speed Is Important

PCR

Same day results

Weeks of Optimization

NGS

Days to weeks for data

Weeks of analysis with bioinformatics

nCounter

Results within 24-hours

Easy Data Analysis

Easy Data Analysis

When accessible data is essential for your research the nCounter Analysis System is your go-to solution. With a simple 4-step analysis protocol actionable answers are right at your fingertips. Generate highly tailored exports, basic statistical outputs, and publication-quality figures quickly and easily with no incremental cost or need for bioinformatics expertise.

Simple 4 step-analysis with accessible data delivers actionable answers quickly
1 Import raw data transcript counts into nSolver
2 QC Check nSolver
3 Normalize using built in housekeeping genes
4 Advanced Analysis Visualizations at your fingertips
Complex analysis pipeline requires weeks with specialized data analysis scientists
  • Base Calls/Raw Data QC
  • Filtering & Trimming
  • Read Alignment
  • Reference Transcriptome alignment
  • Post Alignment Processing
  • Read Counting
  • Measure Transcript Levels
  • Normalize
  • ID Differentially Expressed Genes
  • Annotate Genes
  • Visualize Data

Publications

Cross-platform comparison of immune signatures in immunotherapy-treated patients with advanced melanoma using a rank-based scoring approach

Background: Gene expression profiling is increasingly being utilised as a diagnostic, prognostic and predictive tool for managing cancer patients. Single-sample scoring approach has been developed to alleviate instability of signature scores due to variations from sample composition.

Comparison of RT-qPCR and Nanostring in the measurement of blood interferon response for the diagnosis of type I interferonopathies

A comparative analysis of RNA-Seq and NanoString technologies in deciphering viral infection response in upper airway lung organoids

In this study, we delved into the comparative analysis of gene expression data across RNA-Seq and NanoString platforms. While RNA-Seq covered 19,671 genes and NanoString targeted 773 genes associated with immune responses to viruses, our primary focus was on the 754 genes found in both platforms.

Comparison of Metagenomic Sequencing and the NanoString nCounter Analysis System for the Characterization of Bacterial and Viral Communities in Vaginal Samples

DNA sequencing assays have been used to characterize the vaginal microbiome and to identify associations with clinical outcomes. The purpose of this study was to evaluate the utility of the NanoString nCounter platform, a more efficient assay compared to sequencing, for the characterization of vaginal microbial communities.

Application of the NanoString nCounter System as an Alternative Method to Investigate Molecular Mechanisms Involved in Host Plant Responses to Plasmodiophora brassicae

Clubroot, caused by the soilborne pathogen Plasmodiophora brassicae, is an important disease of canola (Brassica napus) and other crucifers. The recent application of RNA sequencing (RNA-seq) technologies to study P.

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