nCounter® CVD Pathophysiology Panel
Helping Your Research
Cardiovascular diseases (CVD) are the leading cause of death and disability globally. Unsurprisingly, research in this field is vast and scientists are looking for tools that can provide simple, actionable answers to help guide discoveries. With a number of CVD drugs coming off patent and an explosion of immune therapies with cardiotoxic side effects entering the market, scientists must deepen their understanding of cardiotoxic side effects and continuously innovate to stay on top of this rapidly evolving field.
The nCounter CVD Pathophysiology Panel enables researchers to explore how cardiovascular disfunction contributes to heart disease, hypertension and arteriosclerosis. The panel provides molecular insights with quick, actionable results. Study the cardiotoxic effects of immune therapies or assess the role of aging and cell renewal in cardiac regenerative medicine.
How It Works
- Directly profile 800 genes across 50 pathways involved in CVD pathophysiology
- Cardiovascular Pathology
- Cardiovascular Physiology
- Vascular Inflammation
- Cellular Aging & Renewal
- Mechano Signaling
- Regulatory Signaling
- Epigenetic Remodeling
- Measure cardiotoxicities resulting from therapeutic treatment
- Study the MOA of approved CVD drugs
- Explore cardiomyocyte recovery and regeneration
- Quantify the presence and relative abundance of 16 cell types present in cardiac tissue
- Compatible with a variety of sample types including blood, cardiac tissue, organoids, stem cells, engineered cell lines, explants, and organs on a chip
- Generate data in 24 hours with less than 30 minutes hands on time and simple data analysis
Customize your research project by adding up to 55 user-defined genes of interest with nCounter Panel Plus. Panel Plus capacity enables researchers to address content specific to their cardiovascular research areas of interest. Expand on pathways and core themes of the panel or include infectious disease content (i.e. COVID).
In addition to the standard nSolver™ Analysis Software, genes included in the CVD Pathophysiology Panel are organized and linked to various advanced analysis modules to allow for efficient analysis of relevant pathways.
Analysis modules available for CVD Pathophysiology:
- Quality Control
- Individual Pathway Analysis
- Cell Profiling
- Differential Expression
- Gene Set Analysis
- Built-in compatibility for Panel Plus and Protein analysis
ROSALIND is a cloud-based platform that enables scientists to analyze and interpret differential gene expression data without the need for bioinformatics or programming skills. ROSALIND makes analysis of nCounter data easy, with guided modules for:
- Quality Control
- Individual Pathway Analysis Differential Expression
- Gene Set Analysis
nCounter customers can access ROSALIND free of charge at https://www.onramp.bio/nanostring.
Publications & Posters
A Novel miRNA Screen Identifies miRNA-4454 as a Candidate Biomarker for Ventricular Fibrosis in Patients with Hypertrophic Cardiomyopathy.
(1) Background: Left ventricular hypertrophy, myocardial disarray and interstitial fibrosis are the hallmarks of hypertrophic cardiomyopathy (HCM). Access to the myocardium for diagnostic purposes is limited.
Relationship Between Coronary Atheroma, Epicardial Adipose Tissue Inflammation, and Adipocyte Differentiation Across the Human Myocardial Bridge.
Background Inflammation in epicardial adipose tissue (EAT) may contribute to coronary atherosclerosis. Myocardial bridge is a congenital anomaly in which the left anterior descending coronary artery takes a “tunneled” course under a bridge of myocardium: while atherosclerosis develops in the proximal left anterior descending coronary artery, the bridged portion is spared, highlighting the possibility that geographic separation from inflamed EAT is protective.
Novel Concepts in Systemic Sclerosis Pathogenesis: Role for miRNAs.
Systemic sclerosis (SSc) is a rare connective tissue disease with heterogeneous clinical phenotypes. It is characterized by the pathogenic triad: microangiopathy, immune dysfunction, and fibrosis.
The CVD Pathophysiology Panel includes annotations across 8 functional themes related to cardiovascular disfunction and disease. Pathway coverage is outlined in the table below.
Cardiac Cell Profiling Feature
Genes included in the CVD Pathophysiology Panel provide unique cell profiling data to measure the relative abundance of 16 different cardiac cell types. The table below summarizes the genes included in each cell type signature, as qualified through biostatistical approaches and selected literature in the field of cardiovascular disease.