Info
cellxgene_
Jones et al. (2022)
19.17 GiB
02-02-2024
483152 × 55904
Quick links
Used in
No related benchmarks found.
A multiple-organ, single-cell transcriptomic atlas of humans
CREATED
02-02-2024
DIMENSIONS
483152 × 55904
Tabula Sapiens is a benchmark, first-draft human cell atlas of nearly 500,000 cells from 24 organs of 15 normal human subjects. This work is the product of the Tabula Sapiens Consortium. Taking the organs from the same individual controls for genetic background, age, environment, and epigenetic effects and allows detailed analysis and comparison of cell types that are shared between tissues. Our work creates a detailed portrait of cell types as well as their distribution and variation in gene expression across tissues and within the endothelial, epithelial, stromal and immune compartments.
dataset
is an AnnData object with n_obs × n_vars = 483152 × 55904 with slots:
soma_joinid
, dataset_id
, assay
, assay_ontology_term_id
, cell_type
, cell_type_ontology_term_id
, development_stage
, development_stage_ontology_term_id
, disease
, disease_ontology_term_id
, donor_id
, is_primary_data
, self_reported_ethnicity
, self_reported_ethnicity_ontology_term_id
, sex
, sex_ontology_term_id
, suspension_type
, tissue
, tissue_ontology_term_id
, tissue_general
, tissue_general_ontology_term_id
, batch
, size_factors
soma_joinid
, feature_id
, feature_name
, hvg
, hvg_score
knn_connectivities
, knn_distances
X_pca
pca_loadings
counts
, normalized
dataset_description
, dataset_id
, dataset_name
, dataset_organism
, dataset_reference
, dataset_summary
, dataset_url
, knn
, normalization_id
, pca_variance
Name | Description | Type | Data type | Size |
---|---|---|---|---|
obs | ||||
assay
|
Type of assay used to generate the cell data, indicating the methodology or technique employed. |
vector
|
category
|
483152 |
assay_
|
Experimental Factor Ontology (EFO: ) term identifier for the assay, providing a standardized reference to the assay type.
|
vector
|
category
|
483152 |
batch
|
A batch identifier. This label is very context-dependent and may be a combination of the tissue, assay, donor, etc. |
vector
|
category
|
483152 |
cell_
|
Classification of the cell type based on its characteristics and function within the tissue or organism. |
vector
|
category
|
483152 |
cell_
|
Cell Ontology (CL: ) term identifier for the cell type, offering a standardized reference to the specific cell classification.
|
vector
|
category
|
483152 |
dataset_
|
Identifier for the dataset from which the cell data is derived, useful for tracking and referencing purposes. |
vector
|
category
|
483152 |
development_
|
Stage of development of the organism or tissue from which the cell is derived, indicating its maturity or developmental phase. |
vector
|
category
|
483152 |
development_
|
Ontology term identifier for the developmental stage, providing a standardized reference to the organism’s developmental phase. If the organism is human (organism_ontology_term_id == 'NCBITaxon:9606' ), then the Human Developmental Stages (HsapDv: ) ontology is used. If the organism is mouse (organism_ontology_term_id == 'NCBITaxon:10090' ), then the Mouse Developmental Stages (MmusDv: ) ontology is used. Otherwise, the Uberon (UBERON: ) ontology is used.
|
vector
|
category
|
483152 |
disease
|
Information on any disease or pathological condition associated with the cell or donor. |
vector
|
category
|
483152 |
disease_
|
Ontology term identifier for the disease, enabling standardized disease classification and referencing. Must be a term from the Mondo Disease Ontology (MONDO: ) ontology term, or PATO:0000461 from the Phenotype And Trait Ontology (PATO: ).
|
vector
|
category
|
483152 |
donor_
|
Identifier for the donor from whom the cell sample is obtained. |
vector
|
category
|
483152 |
is_
|
Indicates whether the data is primary (directly obtained from experiments) or has been computationally derived from other primary data. |
vector
|
bool
|
483152 |
self_
|
Ethnicity of the donor as self-reported, relevant for studies considering genetic diversity and population-specific traits. |
vector
|
category
|
483152 |
self_
|
Ontology term identifier for the self-reported ethnicity, providing a standardized reference for ethnic classifications. If the organism is human (organism_ontology_term_id == 'NCBITaxon:9606' ), then the Human Ancestry Ontology (HANCESTRO: ) is used.
|
vector
|
category
|
483152 |
sex
|
Biological sex of the donor or source organism, crucial for studies involving sex-specific traits or conditions. |
vector
|
category
|
483152 |
sex_
|
Ontology term identifier for the biological sex, ensuring standardized classification of sex. Only PATO:0000383 , PATO:0000384 and PATO:0001340 are allowed.
|
vector
|
category
|
483152 |
size_
|
The size factors created by the normalisation method, if any. |
vector
|
float32
|
483152 |
soma_
|
If the dataset was retrieved from CELLxGENE census, this is a unique identifier for the cell. |
vector
|
int64
|
483152 |
suspension_
|
Type of suspension or medium in which the cells were stored or processed, important for understanding cell handling and conditions. |
vector
|
category
|
483152 |
tissue
|
Specific tissue from which the cells were derived, key for context and specificity in cell studies. |
vector
|
category
|
483152 |
tissue_
|
General category or classification of the tissue, useful for broader grouping and comparison of cell data. |
vector
|
category
|
483152 |
tissue_
|
Ontology term identifier for the general tissue category, aiding in standardizing and grouping tissue types. For organoid or tissue samples, the Uber-anatomy ontology (UBERON: ) is used. The term ids must be a child term of UBERON:0001062 (anatomical entity). For cell cultures, the Cell Ontology (CL: ) is used. The term ids cannot be CL:0000255 , CL:0000257 or CL:0000548 .
|
vector
|
category
|
483152 |
tissue_
|
Ontology term identifier for the tissue, providing a standardized reference for the tissue type. For organoid or tissue samples, the Uber-anatomy ontology (UBERON: ) is used. The term ids must be a child term of UBERON:0001062 (anatomical entity). For cell cultures, the Cell Ontology (CL: ) is used. The term ids cannot be CL:0000255 , CL:0000257 or CL:0000548 .
|
vector
|
category
|
483152 |
var | ||||
feature_
|
Unique identifier for the feature, usually a ENSEMBL gene id. |
vector
|
object
|
55904 |
feature_
|
A human-readable name for the feature, usually a gene symbol. |
vector
|
object
|
55904 |
hvg
|
Whether or not the feature is considered to be a ‘highly variable gene’ |
vector
|
bool
|
55904 |
hvg_
|
A ranking of the features by hvg. |
vector
|
float64
|
55904 |
soma_
|
If the dataset was retrieved from CELLxGENE census, this is a unique identifier for the feature. |
vector
|
int64
|
55904 |
obsp | ||||
knn_
|
K nearest neighbors connectivities matrix. |
sparsematrix
|
float32
|
483152 × 483152 |
knn_
|
K nearest neighbors distance matrix. |
sparsematrix
|
float64
|
483152 × 483152 |
obsm | ||||
X_
|
The resulting PCA embedding. |
densematrix
|
float32
|
483152 × 50 |
varm | ||||
pca_
|
The PCA loadings matrix. |
densematrix
|
float32
|
55904 × 50 |
layers | ||||
counts
|
Raw counts |
sparsematrix
|
float32
|
483152 × 55904 |
normalized
|
Normalised expression values |
sparsematrix
|
float32
|
483152 × 55904 |
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 |
knn
|
Supplementary K nearest neighbors data. |
dict
|
3 | |
normalization_
|
Which normalization was used |
atomic
|
str
|
1 |
pca_
|
The PCA variance objects. |
dict
|
2 |
dataset.layers['counts']
In R: dataset$layers[["counts"]]
Type: sparsematrix
, data type: float32
, shape: 483152 × 55904
Raw counts
dataset.layers['normalized']
In R: dataset$layers[["normalized"]]
Type: sparsematrix
, data type: float32
, shape: 483152 × 55904
Normalised expression values
dataset.obs['soma_joinid']
In R: dataset$obs[["soma_joinid"]]
Type: vector
, data type: int64
, shape: 483152
If the dataset was retrieved from CELLxGENE census, this is a unique identifier for the cell.
dataset.obs['dataset_id']
In R: dataset$obs[["dataset_id"]]
Type: vector
, data type: category
, shape: 483152
Identifier for the dataset from which the cell data is derived, useful for tracking and referencing purposes.
dataset.obs['assay']
In R: dataset$obs[["assay"]]
Type: vector
, data type: category
, shape: 483152
Type of assay used to generate the cell data, indicating the methodology or technique employed.
dataset.obs['assay_ontology_term_id']
In R: dataset$obs[["assay_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Experimental Factor Ontology (EFO:
) term identifier for the assay, providing a standardized reference to the assay type.
dataset.obs['cell_type']
In R: dataset$obs[["cell_type"]]
Type: vector
, data type: category
, shape: 483152
Classification of the cell type based on its characteristics and function within the tissue or organism.
dataset.obs['cell_type_ontology_term_id']
In R: dataset$obs[["cell_type_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Cell Ontology (CL:
) term identifier for the cell type, offering a standardized reference to the specific cell classification.
dataset.obs['development_stage']
In R: dataset$obs[["development_stage"]]
Type: vector
, data type: category
, shape: 483152
Stage of development of the organism or tissue from which the cell is derived, indicating its maturity or developmental phase.
dataset.obs['development_stage_ontology_term_id']
In R: dataset$obs[["development_stage_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the developmental stage, providing a standardized reference to the organism’s developmental phase.
If the organism is human (organism_ontology_term_id == 'NCBITaxon:9606'
), then the Human Developmental Stages (HsapDv:
) ontology is used.
If the organism is mouse (organism_ontology_term_id == 'NCBITaxon:10090'
), then the Mouse Developmental Stages (MmusDv:
) ontology is used. Otherwise, the Uberon (UBERON:
) ontology is used.
dataset.obs['disease']
In R: dataset$obs[["disease"]]
Type: vector
, data type: category
, shape: 483152
Information on any disease or pathological condition associated with the cell or donor.
dataset.obs['disease_ontology_term_id']
In R: dataset$obs[["disease_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the disease, enabling standardized disease classification and referencing.
Must be a term from the Mondo Disease Ontology (MONDO:
) ontology term, or PATO:0000461
from the Phenotype And Trait Ontology (PATO:
).
dataset.obs['donor_id']
In R: dataset$obs[["donor_id"]]
Type: vector
, data type: category
, shape: 483152
Identifier for the donor from whom the cell sample is obtained.
dataset.obs['is_primary_data']
In R: dataset$obs[["is_primary_data"]]
Type: vector
, data type: bool
, shape: 483152
Indicates whether the data is primary (directly obtained from experiments) or has been computationally derived from other primary data.
dataset.obs['self_reported_ethnicity']
In R: dataset$obs[["self_reported_ethnicity"]]
Type: vector
, data type: category
, shape: 483152
Ethnicity of the donor as self-reported, relevant for studies considering genetic diversity and population-specific traits.
dataset.obs['self_reported_ethnicity_ontology_term_id']
In R: dataset$obs[["self_reported_ethnicity_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the self-reported ethnicity, providing a standardized reference for ethnic classifications.
If the organism is human (organism_ontology_term_id == 'NCBITaxon:9606'
), then the Human Ancestry Ontology (HANCESTRO:
) is used.
dataset.obs['sex']
In R: dataset$obs[["sex"]]
Type: vector
, data type: category
, shape: 483152
Biological sex of the donor or source organism, crucial for studies involving sex-specific traits or conditions.
dataset.obs['sex_ontology_term_id']
In R: dataset$obs[["sex_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the biological sex, ensuring standardized classification of sex. Only PATO:0000383
, PATO:0000384
and PATO:0001340
are allowed.
dataset.obs['suspension_type']
In R: dataset$obs[["suspension_type"]]
Type: vector
, data type: category
, shape: 483152
Type of suspension or medium in which the cells were stored or processed, important for understanding cell handling and conditions.
dataset.obs['tissue']
In R: dataset$obs[["tissue"]]
Type: vector
, data type: category
, shape: 483152
Specific tissue from which the cells were derived, key for context and specificity in cell studies.
dataset.obs['tissue_ontology_term_id']
In R: dataset$obs[["tissue_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the tissue, providing a standardized reference for the tissue type.
For organoid or tissue samples, the Uber-anatomy ontology (UBERON:
) is used. The term ids must be a child term of UBERON:0001062
(anatomical entity). For cell cultures, the Cell Ontology (CL:
) is used. The term ids cannot be CL:0000255
, CL:0000257
or CL:0000548
.
dataset.obs['tissue_general']
In R: dataset$obs[["tissue_general"]]
Type: vector
, data type: category
, shape: 483152
General category or classification of the tissue, useful for broader grouping and comparison of cell data.
dataset.obs['tissue_general_ontology_term_id']
In R: dataset$obs[["tissue_general_ontology_term_id"]]
Type: vector
, data type: category
, shape: 483152
Ontology term identifier for the general tissue category, aiding in standardizing and grouping tissue types.
For organoid or tissue samples, the Uber-anatomy ontology (UBERON:
) is used. The term ids must be a child term of UBERON:0001062
(anatomical entity). For cell cultures, the Cell Ontology (CL:
) is used. The term ids cannot be CL:0000255
, CL:0000257
or CL:0000548
.
dataset.obs['batch']
In R: dataset$obs[["batch"]]
Type: vector
, data type: category
, shape: 483152
A batch identifier. This label is very context-dependent and may be a combination of the tissue, assay, donor, etc.
dataset.obs['size_factors']
In R: dataset$obs[["size_factors"]]
Type: vector
, data type: float32
, shape: 483152
The size factors created by the normalisation method, if any.
dataset.obsm['X_pca']
In R: dataset$obsm[["X_pca"]]
Type: densematrix
, data type: float32
, shape: 483152 × 50
The resulting PCA embedding.
dataset.obsp['knn_connectivities']
In R: dataset$obsp[["knn_connectivities"]]
Type: sparsematrix
, data type: float32
, shape: 483152 × 483152
K nearest neighbors connectivities matrix.
dataset.obsp['knn_distances']
In R: dataset$obsp[["knn_distances"]]
Type: sparsematrix
, data type: float64
, shape: 483152 × 483152
K nearest neighbors distance matrix.
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$uns[["dataset_url"]]
Type: atomic
, data type: str
, shape: 1
Link to the original source of the dataset.
dataset.uns['knn']
In R: dataset$uns[["knn"]]
Type: dict
, data type: ``, shape: 3
Supplementary K nearest neighbors data.
dataset.uns['normalization_id']
In R: dataset$uns[["normalization_id"]]
Type: atomic
, data type: str
, shape: 1
Which normalization was used
dataset.uns['pca_variance']
In R: dataset$uns[["pca_variance"]]
Type: dict
, data type: ``, shape: 2
The PCA variance objects.
dataset.var['soma_joinid']
In R: dataset$var[["soma_joinid"]]
Type: vector
, data type: int64
, shape: 55904
If the dataset was retrieved from CELLxGENE census, this is a unique identifier for the feature.
dataset.var['feature_id']
In R: dataset$var[["feature_id"]]
Type: vector
, data type: object
, shape: 55904
Unique identifier for the feature, usually a ENSEMBL gene id.
dataset.var['feature_name']
In R: dataset$var[["feature_name"]]
Type: vector
, data type: object
, shape: 55904
A human-readable name for the feature, usually a gene symbol.
dataset.var['hvg']
In R: dataset$var[["hvg"]]
Type: vector
, data type: bool
, shape: 55904
Whether or not the feature is considered to be a ‘highly variable gene’
dataset.var['hvg_score']
In R: dataset$var[["hvg_score"]]
Type: vector
, data type: float64
, shape: 55904
A ranking of the features by hvg.
dataset.varm['pca_loadings']
In R: dataset$varm[["pca_loadings"]]
Type: densematrix
, data type: float32
, shape: 55904 × 50
The PCA loadings matrix.