10X Visium - Human Lung Cancer
Gene expression library of Human Lung Cancer (CytAssist FFPE) using the Human Whole Transcriptome Probe Set
Description
10x Genomics obtained FFPE human lung cancer tissue from Avaden Biosciences. The tissue was sectioned as described in the Visium CytAssist Spatial Gene Expression for FFPE Tissue Preparation Guide (CG000518). Tissue section of 5 µm was placed on a standard glass slide, then stained following the Deparaffinization, H&E Staining, Imaging & Decrosslinking Demonstrated Protocol (CG000520). The glass slide with tissue section was processed via Visium CytAssist instrument to transfer analytes to a Visium CytAssist Spatial Gene Expression Slide v2, with 11 mm capture areas following the Visium CytAssist Spatial Gene Expression Reagent Kits User Guide (CG000495).
Preview
An AnnData object with
n_obs × n_vars = 6,195 × 18,033 with slots:
Data structure
| Name | Description | Type | Data type | Size |
|---|---|---|---|---|
| var | ||||
feature_id | Unique identifier for the feature, usually a ENSEMBL gene id. | vector | object | 18033 |
feature_name | A human-readable name for the feature, usually a gene symbol. | vector | object | 18033 |
| layers | ||||
counts | Raw counts | sparsematrix | float32 | 6195 × 18033 |
| uns | ||||
dataset_description | Long description of the dataset. | atomic | str | 1 |
dataset_id | A unique identifier for the dataset. This is different from the `obs.dataset_id` field, which is the identifier for the dataset from which the cell data is derived. | atomic | str | 1 |
dataset_name | A human-readable name for the dataset. | atomic | str | 1 |
dataset_organism | The organism of the sample in the dataset. | atomic | str | 1 |
dataset_reference | Bibtex reference of the paper in which the dataset was published. | atomic | str | 1 |
dataset_summary | Short description of the dataset. | atomic | str | 1 |
dataset_url | Link to the original source of the dataset. | atomic | str | 1 |
Download & explore
The processed dataset lives on the OpenProblems public S3 bucket, which is world-readable. Download the file directly, or copy its S3 URI to fetch it with your tool of choice.
s3://openproblems-data/resources/datasets/tenx_visium/visium/human_lung_cancer/dataset.h5ad Used in
References
- 10x Genomics. (2023). Human lung cancer, 11 mm capture area (FFPE). link ↗