Info
10x_
10x Genomics (2022)
97.92 MiB
20-08-2024
3455 × 17874
Gene expression library of Human Skin Melanoma (CytAssist FFPE) using the Human Whole Transcriptome Probe Set
10x_
10x Genomics (2022)
97.92 MiB
20-08-2024
3455 × 17874
CREATED
20-08-2024
DIMENSIONS
3455 × 17874
10x Genomics obtained FFPE Human Melanoma tissue blocks from Avaden Biosciences. The tissue was sectioned as described in Visium CytAssist Spatial Gene Expression for FFPE Tissue Preparation Guide Demonstrated Protocol (CG000518). Tissue sections of 5 µm was placed on a standard glass slide, deparaffinized followed by immunofluorescence (IF) staining. Sections were coverslipped with 85% glycerol, imaged, decoverslipped, followed by dehydration & decrosslinking Demonstrated Protocol (CG000519). The glass slide with tissue section was processed via Visium CytAssist instrument to transfer analytes to a Visium CytAssist Spatial Gene Expression slide. The probe extension and library construction steps follow the standard Visium for FFPE workflow outside of the instrument.
dataset
is an AnnData object with n_obs × n_vars = 3455 × 17874 with slots:
feature_id
, feature_name
counts
dataset_description
, dataset_id
, dataset_name
, dataset_organism
, dataset_reference
, dataset_summary
, dataset_url
Name | Description | Type | Data type | Size |
---|---|---|---|---|
var | ||||
feature_
|
Unique identifier for the feature, usually a ENSEMBL gene id. |
vector
|
object
|
17874 |
feature_
|
A human-readable name for the feature, usually a gene symbol. |
vector
|
object
|
17874 |
layers | ||||
counts
|
Raw counts |
sparsematrix
|
float32
|
3455 × 17874 |
uns | ||||
dataset_
|
Long description of the dataset. |
atomic
|
str
|
1 |
dataset_
|
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_
|
A human-readable name for the dataset. |
atomic
|
str
|
1 |
dataset_
|
The organism of the sample in the dataset. |
atomic
|
str
|
1 |
dataset_
|
Bibtex reference of the paper in which the dataset was published. |
atomic
|
str
|
1 |
dataset_
|
Short description of the dataset. |
atomic
|
str
|
1 |
dataset_
|
Link to the original source of the dataset. |
atomic
|
str
|
1 |
dataset.layers['counts']
In R: dataset$layers[["counts"]]
Type: sparsematrix
, data type: float32
, shape: 3455 × 17874
Raw counts
dataset.uns['dataset_description']
In R: dataset$uns[["dataset_description"]]
Type: atomic
, data type: str
, shape: 1
Long description of the dataset.
dataset.uns['dataset_id']
In R: dataset$uns[["dataset_id"]]
Type: atomic
, data type: str
, shape: 1
A unique identifier for the dataset. This is different from the obs.dataset_id
field, which is the identifier for the dataset from which the cell data is derived.
dataset.uns['dataset_name']
In R: dataset$uns[["dataset_name"]]
Type: atomic
, data type: str
, shape: 1
A human-readable name for the dataset.
dataset.uns['dataset_organism']
In R: dataset$uns[["dataset_organism"]]
Type: atomic
, data type: str
, shape: 1
The organism of the sample in the dataset.
dataset.uns['dataset_reference']
In R: dataset$uns[["dataset_reference"]]
Type: atomic
, data type: str
, shape: 1
Bibtex reference of the paper in which the dataset was published.
dataset.uns['dataset_summary']
In R: dataset$uns[["dataset_summary"]]
Type: atomic
, data type: str
, shape: 1
Short description of the dataset.
dataset.uns['dataset_url']
In R: dataset$uns[["dataset_url"]]
Type: atomic
, data type: str
, shape: 1
Link to the original source of the dataset.
dataset.var['feature_id']
In R: dataset$var[["feature_id"]]
Type: vector
, data type: object
, shape: 17874
Unique identifier for the feature, usually a ENSEMBL gene id.
dataset.var['feature_name']
In R: dataset$var[["feature_name"]]
Type: vector
, data type: object
, shape: 17874
A human-readable name for the feature, usually a gene symbol.