3D Biology™ Technology
For Research Use Only. Not for use in diagnostic procedures.
Helping Your Research
3D Biology is the ability to analyze combinations of RNA and protein simultaneously in a single experiment, from a single sample.
At NanoString, we are pioneering 3D Biology to accelerate your research and maximize the amount of information that can be generated from a single sample. Based on NanoString’s digital barcode technology and designed for flexibility, NanoString’s 3D Biology™ Technology and the nCounter® Vantage 3D™ portfolio of assays, provides a deeper view of cancer and immune biology and can be mixed and matched to answer a wide variety of biological questions.
- Quantify both RNA and protein in a single assay to use less precious material and uncover novel insights
- Simplify your workflow by comparing gene and protein expression for up to 800 targets in a single view
- Eliminate the potential bias inherent in merging data from different platforms
NanoString protein analysis leverages antibodies that are barcoded with unique synthetic DNA oligonucleotides for detection of proteins of interest. The DNA oligonucleotide is recognized by a unique reporter probe that contains a fluorescent barcode. Following sample preparation, RNA and protein can all be detected on the nCounter® platform yielding counts of mRNA and protein abundance.
Our Vantage 3D Assays are powered by 3D Biology technology and provide solutions across an expanding range of research areas. For more information download our Vantage 3D Brochure.
3D Flow™ Analysis: Seamlessly integrate standard flow cytometry cell sorting with downstream nCounter analysis to interrogate up to 30 proteins and 770 immune-related RNA simultaneously. View details here.
PDX Profiling: Simple and comprehensive profiling to assure that your PDX models are of consistent high quality and that you gain a deeper understanding of the molecular determinants of therapeutic response. View details here.
In the Lab
Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis.
Background: Tumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME.
Spatial omics and multiplexed imaging to explore cancer biology.
Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance.
The Pandora’s box of novel technologies that may revolutionize lung cancer.
Non-small cell lung cancer (NSCLC) is one of the most common cancers globally and has a 5-year survival rate ~20%. Immunotherapies have demonstrated long-term and durable responses in NSCLC patients, although they appear to be effective in only a subset of patients.