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Visium HD Spatial Gene Expression Library, Human Lung Cancer, Breast Cancer and Colon Cancer Tissue Array (FFPE), 11 mm Capture Area

HD Spatial Gene Expression dataset analyzed using Space Ranger 4.1.0

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Biomaterials

This tissue array consists of human breast (invasive ductal carcinoma), colon (adenocarcinoma), and lung (non-small cell cancer) tissue (FFPE) from multiple vendors.

Sample preparation

A 5 µm section was taken from the FFPE tissue block by microtome (Epredia HM355S). Sectioning, deparaffinization, H&E staining and imaging followed the Visium HD FFPE Tissue Preparation Handbook 2.0 (CG001676).

Imaging

  • Image type: H&E
  • Microscope: Olympus VS200 Slide Scanner
  • Objective magnification: 20X
  • Numerical Aperture: 0.8
  • ScopeLED light source: VS200 LED, Olympus integrated bright field source
  • Camera: iDS VS-264C, Olympus scanner integrated camera
  • Exposure: 500 microseconds

Assay workflow

Probe hybridization, probe ligation, slide preparation, probe release, extension, and library construction followed the Visium HD Spatial Gene Expression Reagent Kits User Guide 2.0 (CG001679).

  • Slide serial number: H2-PJTQP3F
  • Area: A
  • Instrument: Visium CytAssist
  • Probe set: Visium Human Transcriptome Probe Set v2.0

Sequencing

  • Indexing: Dual index plate TS set A; sample index A8
  • Sequencing instrument: Illumina NovaSeq X
  • Sequencing configuration: 43 bp read 1, 50 bp read 2, 10 bp i7 sample index, and 10 bp i5 sample index
  • Sequencing depth: 905 M reads

Analysis

Space Ranger v4.1.0 was used to map FASTQ files to the reference, detect tissue, align the data to the microscope and CytAssist images, and output feature-barcode matrices for further analysis.

The first iteration of the Pan-Human Azimuth model was trained on scRNA-seq and snRNA-seq data from 23 different human tissues and 380 different cell types. Cancer datasets were excluded from the training process. Performance may be impacted for cancer tissues and other tissue types not used to train the model. For more information, see the Pan-Human Azimuth page from the Satija lab.

How to view data

To get started, download Loupe Browser v9.1 to explore the Loupe file, or read more about the other Space Ranger outputs.

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