The NanoString T-Cell Receptor Report evaluates the expression of the variable regions (alpha, beta, gamma, and delta) within T-cell receptors. The variable regions are assessed for overall expression (above or below background) and normalized to a panel standard which allows for more precise quantification of these variable regions. We also calculate the T-cell Receptor (TCR) score, an estimate of TCR Diversity.
The TCR score calculates the diversity of T-cell receptor beta variable regions within a sample. The score is based on the Shannon Diversity index calculation, which is a mathematical measure of species diversity in a community. We use this ecological calculation to account for the abundance and evenness of the variable regions present within a given sample versus the population of T-cell receptors within a given dataset. The score given is relative within a dataset, in which a higher TCR score means there is a more diverse population of variable regions, or a less clonal population. A lower score means there is less diversity, or a more clonal population. True clonality can only be determined using the full sequence of the TCR, but we can estimate clonality by measuring a low diversity of TCR beta variable regions.
We have 3 tabs within the report:
The following bar plots that show the number of probes detected above background for each sample.
The following is a binary heatmap showing the probes that are detected above the threshold in yellow.
This heatmap shows the panel standard normalized expression of the alpha and beta probes separately. While the delta and gamma probes are plotted together in a subsequent heatmap. The constant probes are not shown, but were present (above background) for every sample.
This plot shows the TCR score for the different categories of samples. A higher score means there is more diversity, likely not a clonal. A lower score means there is less diversity, likely clonal.