All datasets

Preview Data: FFPE Human Lymph Node with 5K Pan Tissue and Pathways Panel

In Situ Gene Expression dataset analyzed using Xenium Onboard Analysis 3.0.0

This preview dataset was generated using development versions of the pre-designed panel, assay user guide, and analysis software. It may be replaced with data generated using the final workflow in the future.
Assess data quality
View summary metrics to assess data quality and more.
View summary
Visualize and explore data
Discover differentially expressed genes, visualize your favorite genes, and explore your data with our visualization software.

Learn about Xenium analysis

Overview

This dataset is a preview of the Xenium Prime solution using development versions of the Xenium Prime 5K Human Pan Tissue & Pathways Panel, assay user guide, and Xenium Onboard Analysis software.

How to view data

Interactively explore this dataset with the Xenium Explorer web demo ("Open web demo" above) or download the files to explore further on your desktop. Desktop Xenium Explorer v3.0 is required to view this dataset on your local computer - now available for download here.

See the Getting Started with Xenium Explorer page for general guidance navigating the web demo interface and these instructions to explore the aligned H&E image in the demo.

Biomaterials

FFPE-preserved tissues were purchased from Avaden Biosciences (Lymph Node, Left Axilla; Reactive Lymph Node).

Tissue preparation

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).

Probe hybridization, washing, ligation, amplification, and cell segmentation staining were performed following a development version of the Xenium Prime In Situ Gene Expression with optional Cell Segmentation Staining User Guide.

Post-instrument processing followed the Demonstrated Protocol Xenium In Situ Gene Expression - Post-Xenium Analyzer H&E Staining (CG000613).

Gene panels

The Xenium Prime 5K Human Pan Tissue and Pathways Panel was designed to enable comprehensive cell type and cell state identification using publicly available single cell RNA sequencing data. The panel also covers canonical signaling pathways, as well as genes relevant to developmental biology, immuno-oncology, and genes that are well known in biomedical literature.

A development version of the Xenium Human 5K Pan Tissue and Pathways Panel that targets 4,624 genes was used to generate this preview dataset. An additional 377 genes are targeted in the final version of the panel.

Xenium Analyzer

The instrument run was performed following the Xenium Analyzer User Guide CG000584. The on-instrument analysis was run with a development version of Xenium Onboard Analysis v3.0.0.

MetricLymph node
Median transcripts per cell255
Cells detected708,983
Nuclear transcripts per 100 µm²730.8
High quality decoded transcripts detected202,153,544
Region area (µm²)47,977,579.9

Custom cell groups

Cells were assigned putative cell type labels based on label transfer from publicly available single cell RNA-seq data from CELLxGENE. See the Annotating Cell Types in Xenium In Situ Data with Label Transfer Analysis Guide to learn how to perform label transfer, including considerations for selecting single cell references.

We have provided these annotations to facilitate exploration of the data, however they are not guaranteed to yield publication-quality results. The label transfer method is limited by the accuracy and granularity of the annotations in the underlying single cell data. It is important to check that results reflect expected biology. For example, in this dataset, the label transfer method misannotated a cluster of putative MARCO+ macrophage cells as endothelial cells.

Custom gene groups

We used Seurat's FindAllMarkers to identify the topmost differentially expressed markers for each labeled cell type. From these, we only include positive markers which are statistically significant at an FDR of 0.05, expressed in at least 5% of their marked cell type, and exhibit at least a 2-fold change in expression compared to the other cell types.

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. 10x citation guidelines available here.