All use cases

Follow discoveries beyond your original panel.

Your panel captures the question you started with, but a finding may take you somewhere else. With our team, you can investigate predicted expression for additional genes in the same tissue regions, allowing the result to shape what you ask next.

Panel extensionArranged with our team

Worked through for Academia & Research and Sequencing & Core Facilities.

The research opportunity

What could you learn about a finding by investigating genes beyond the panel that revealed it?

Why it matters

Let the finding lead to the next question

The most interesting observation may involve genes you had no reason to select at the start. A target might prompt a question about the tissue around it, or a difference between two regions might suggest another group of genes to investigate. Those ideas emerge from the experiment itself, after the panel has been chosen.

Although the measured gene list stays fixed, the analysis can move beyond it. Working with our team, you can add predictions for off-panel genes and follow the direction the result suggests.

Investigate the biology around your target

Additional genes give you more ways to examine a region that already matters to the study. You can ask whether predicted expression of a related gene follows the same spatial pattern as the measured target, or differs in neighbouring tissue. This turns a single observation into a set of more specific hypotheses about the region.

Because the new predictions use the positions your assay reported, you can make those comparisons within the original spatial analysis. The connection between the finding and the next question stays visible.

Give the completed experiment further reach

The image and spatial data you already collected can support another round of investigation. Our team arranges panel extension using those existing inputs. Measured genes remain unchanged, while the additional genes appear beside them as labelled predictions.

You can then investigate several off-panel leads before deciding which deserve a new measurement. The original experiment continues to contribute as your understanding of the tissue develops.

Explore the possibilities

The DeepSpot-M preprint demonstrates predictions for genes excluded from training, supporting exploration beyond the measured panel.

Keep following the finding in the same tissue

Additional predicted genes share the positions of the measured panel, letting you return to a region of interest with a broader set of molecular questions.

Measured at this spota few hundred genes, to scaleThe same spot, adaptedthe rest of 19,338, predicted
Three squares of the same slide at full resolution: lymphoid tissue, the collagen of the capsule and septa, and the deposit that replaced part of the node.
Tissue regions from one section show the local context in which you can explore additional genes.

Your input and output

Input
An H&E image and measured spatial expression, with coordinates for each spot.
Virtual spatial transcriptomics for off-panel genes at the measured positions.

Take the next step

Start with an example slide, or talk to us about your cohort.