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FFPE Human Breast with Pre-designed Panel

In Situ Gene Expression dataset analyzed using Xenium Onboard Analysis 1.0.2

Click "Open web demo" to view our FFPE human breast Xenium Explorer demo in your browser.Learn about the demo sample biology here.
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Demonstration of gene expression profiling for formalin-fixed paraffin-embedded (FFPE) human breast samples on the Xenium platform.

The data were generated with the pre-designed Xenium Human Breast Gene Expression Panel (v1) (base panel). The same experiment was also run with a custom add-on panel of 100 genes.

5µm sections from two resected tumor mass tissues:

  • Infiltrating ductal carcinoma, Ductal carcinoma in situ (from BiolVT)
  • Invasive lobular carcinoma (from Avaden Biosciences)

The tissues were prepared following the demonstrated protocols Xenium In Situ for FFPE - Tissue Preparation Guide (CG000578) and Xenium In Situ for FFPE Tissues – Deparaffinization & Decrosslinking (CG000580).

Post-instrument processing followed the demonstrated protocol Xenium In Situ Gene Expression - Post-Xenium Analyzer H&E Staining (CG000613). The registered H&E image file provided below is suitable for annotating regions. It may or may not be suitable for more refined exact sub-cellular resolution correspondence due to minute differences in the optics of the microscopy systems. Learn more in the H&E to Xenium DAPI Image Registration with Fiji Analysis Guide.

How to view data

Shared files are displayed in the Inputs/Slide tab and per-sample output files are in the Tissue tabs. Interactively explore data with Xenium Explorer by downloading the Xenium Output Bundle file. Load the Gene Groups CSV to create gene groups based on cell type markers. Follow these instructions to view the aligned post-Xenium H&E image in Xenium Explorer.

Key metrics

MetricTissue sample 1Tissue sample 2
Median transcripts per cell10594
Cells detected574,852356,746
Decoded transcripts per 100 µm²93.875.3
Total transcripts detected68,113,82636,519,833
Scanned tissue area (cm²)0.900.72

This dataset is licensed under the Creative Commons Attribution license.