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
Next-Generation Digital Histopathology of the Tumor Microenvironment.
Progress in cancer research is substantially dependent on innovative technologies that permit a concerted analysis of the tumor microenvironment and the cellular phenotypes resulting from somatic mutations and post-translational modifications. In view of a large number of genes, multiplied by differential splicing as well as post-translational protein modifications, the ability to identify and quantify the actual phenotypes of individual cell populations in situ, i.
Applicability of spatial transcriptional profiling to cancer research.
Spatial transcriptional profiling provides gene expression information within the important anatomical context of tissue architecture. This approach is well suited to characterizing solid tumors, which develop within a complex landscape of malignant cells, immune cells, and stroma.
In-silico performance, validation, and modeling of the Nanostring Banff Human Organ transplant gene panel using archival data from human kidney transplants
RNA gene expression of renal transplantation biopsies is commonly used to identify the immunological patterns of graft rejection. Mostly done with microarrays, seminal findings defined the patterns of gene sets associated with rejection and non-rejection kidney allograft diagnoses.