All datasets

Human Bone and Bone Marrow Data with Custom Add-on Panel

In Situ Gene Expression dataset analyzed using Xenium Onboard Analysis 1.9.0

Assess data quality
View summary metrics to assess data quality and more.
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

Bone marrow plays a crucial role in diagnosing various conditions. By analyzing gene expression within bone marrow, researchers can gain insights into hematological disorders, immune responses, and other diseases. Bones present a unique challenge due to their hardness and inaccessibility. To address this, we have focused on optimized sample handling techniques.

This page demonstrates Xenium In Situ Gene Expression data for adult human bone and bone marrow sections using the Xenium Human Multi-Tissue and Cancer Panel with custom add-on.

How to view data

Interactively explore data with Xenium Explorer by downloading the Xenium Output Bundle (or Xenium Explorer subset) file. The subset bundle contains the experiment.xenium, morphology_mip.ome.tif, analysis_summary.html, cells.zarr.zip, cell_feature_matrix.zarr.zip, transcripts.zarr.zip, and analysis.zarr.zip files. See the Getting Started with Xenium Explorer page for more details. Follow these instructions to view the post-Xenium H&E image or image alignment file in Xenium Explorer.

Biomaterials and sample handling

FFPE-preserved tissues were purchased from Discovery Life Sciences (Acute Lymphoid Leukemia bone marrow), Precision Biospecimens (non-diseased bone marrow), and Avaden Biosciences (non-diseased femur bone). The femur sample was delivered in fixative and the decalcification, processing, and embedding were done by 10x Genomics.

Prior to processing and embedding (tissue preparation):

  • Human Bone: Decalcified for approximately 3 weeks with 0.5M EDTA in 50 mL conical stored at 4°C. EDTA was replenished tri-weekly to minimize reagent degradation.
  • Human Bone Marrow: No decalcification necessary. Proceeded directly with tissue processing and paraffin embedding.

Additional guidance for bone sample preparation is available in this Knowledge Base article.

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, and amplification were performed following the Xenium In Situ Gene Expression User Guide (CG000582).

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

Gene panels

The Xenium Human Multi-Tissue and Cancer Panel (377 genes) was pre-designed by 10x Genomics. The panel design was informed using single cell RNA sequencing data curated and reprocessed for standardization by the Human Protein Atlas. Genes were chosen to accurately type cells, and identify select immune, proliferation, and tumor markers, in human breast, lung, skin, liver, colon, kidney, lung cancer, and heart.

To enhance detection of bone cell types, we added a 100-gene custom add-on panel to supplement the identification of blood progenitors, endothelial cells, macrophages, stromal cells (smooth muscle and fibroblasts), T cells, and B cells detected in bone marrow. The add-on gene list for these datasets is available below as a supplemental file. It includes panel gene name, transcript ID, and cell type annotation in CSV format.

Xenium Analyzer

The instrument run was performed following the Xenium Analyzer User Guide (CG000584). The on-instrument analysis was run with Xenium Onboard Analysis version 1.9.0.

MetricAcute Lymphoid Leukemia bone marrowNon-diseased bone marrowNon-diseased femur
Median transcripts per cell27713
Cells detected225,90684,51833,801
Decoded transcripts per 100 µm²52.58.47.3
Total high quality decoded transcripts6,933,297880,2241,069,690
Region area (µm²)26,288,54523,683,54473,260,729

This dataset is licensed under the Creative Commons Attribution license.