Gene expression analysis with Nanostring technology
- Multiplex over 700 targets
- Multiple sample types
- Ability to analyse RNA extracted from FFPE tissues
- Total or fragmented RNA
- Cell lysates
- Whole blood and plasma
- Urine and saliva
- CSF and synovial fluid
- Produce robust data from low amounts of input sample
- Pre-designed gene panels or create your own custom panel
- 3D biology – analyse DNA, RNA and protein
- Digital spatial profiling – understand tumour and microenvironment with morphological context whilst maintaining sample integrity
Placing an order couldn’t be easier - simply complete our enquiry form and a member of our team will respond with a study proposal.
Nanostring technology – how it works
Nanostring technology is based on direct molecular barcoding of target molecules utilising a unique probe for each target of interest followed by digital detection of each individual target. The target probe consists of 6 colour coded positions with up to 4 colours allowing a diverse range of unique patterns, each relating to a single target ID.
Up to 770 different target probes can be included with the sample in each well creating a highly multiplexed approach. The individual targets are digitally resolved by the Nanostring nCounter instrument and software during data collection.
Each sample is exposed to a reaction mixture with excess target probes to ensure each target finds a probe pair.
The sample will undergo hybridisation before excess probes are washed off in a two-step magnetic bead-based purification process.
Purify and immobilise
A system of sequential washing and purification steps provides a final purified target probe complex elute.
The Elute is immobilized and aligned on the nCounter cartridge for data collection.
Sample cartridges are scanned by epifluorescence microscopy. CCD capture technology provides a large number of individual target molecule counts.
The nSolver Analysis Software is used to interrogate the hundreds of thousands of target molecule counts to provide measurements with a high level of precision and accuracy.
Along with a raw data file and normalised data, statistical outputs and a variety of publication-quality figures can be produced to add further insights and visualise important data sets.
Visualise data to make inferences about data sets and evaluate gene expression
Heat Maps – identify relationships between all datasets and evaluate gene expression profiles
Violin plots – similar to a box plot by displaying the range of data. They show density of values in a similar way to a histogram and can be used to illustrate relative gene expression in different cell populations
Box plots – these non-parametric analyses display differences between subsets of an experiment, showing the range of data
Scatter plots – compare variables in raw, normalized, grouped or ratio data by using Cartesian coordinates. Identify the trends in the relationship between two variables without data manipulation
Histograms – Display and estimate the probability distribution of a continuous variable
The raw data files are compatible with most 3rd party analysis software, allowing the flexibility for sponsors to perform their own bioinformatics.