Retrieve Single Nucleus Gene Expression Data for a given Gene.
Usage
get_single_nucleus_gex(
gencodeIds,
datasetId = "gtex_snrnaseq_pilot",
tissueSiteDetailIds = NULL,
excludeDataArray = TRUE,
page = 0,
itemsPerPage = 250
)
Arguments
- gencodeIds
A character vector of Versioned GENCODE IDs, e.g. c("ENSG00000132693.12", "ENSG00000203782.5").
- datasetId
String. Unique identifier of a dataset. Usually includes a data source and data release. Options: "gtex_v8", "gtex_snrnaseq_pilot".
- tissueSiteDetailIds
Character vector of IDs for tissues of interest. Can be GTEx specific IDs (e.g. "Whole_Blood"; use
get_tissue_site_detail()
to see valid values) or Ontology IDs.- excludeDataArray
String. Options are TRUE or FALSE
- page
Integer (default = 0).
- itemsPerPage
Integer (default = 250).
See also
Other Expression Data Endpoints:
get_clustered_median_exon_expression()
,
get_clustered_median_gene_expression()
,
get_clustered_median_junction_expression()
,
get_clustered_median_transcript_expression()
,
get_expression_pca()
,
get_gene_expression()
,
get_median_exon_expression()
,
get_median_gene_expression()
,
get_median_junction_expression()
,
get_median_transcript_expression()
,
get_single_nucleus_gex_summary()
,
get_top_expressed_genes()
Examples
# \dontrun{
# Search for one or more genes - returns a tibble with one row per tissue.
# Column "cellTypes" now contains a tibble of expression summary data, with
# one row for each cell type
get_single_nucleus_gex(gencodeIds = c("ENSG00000203782.5",
"ENSG00000132693.12"))
#>
#> ── Paging info ─────────────────────────────────────────────────────────────────
#> • numberOfPages = 1
#> • page = 0
#> • maxItemsPerPage = 250
#> • totalNumberOfItems = 14
#> # A tibble: 14 × 7
#> tissueSiteDetailId ontologyId datasetId gencodeId geneSymbol cellTypes unit
#> <chr> <chr> <chr> <chr> <chr> <list> <chr>
#> 1 Muscle_Skeletal UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 2 Breast_Mammary_Tis… UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 3 Esophagus_Mucosa UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 4 Esophagus_Muscular… UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 5 Lung UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 6 Prostate UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 7 Skin_Sun_Exposed_L… UBERON:00… gtex_snr… ENSG0000… LOR <tibble> log(…
#> 8 Muscle_Skeletal UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 9 Breast_Mammary_Tis… UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 10 Esophagus_Mucosa UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 11 Esophagus_Muscular… UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 12 Heart_Left_Ventric… UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 13 Lung UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 14 Prostate UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
# `excludeDataArray = FALSE` - expression values are stored under "celltypes"
# in an additional column called "data"
response <- get_single_nucleus_gex(gencodeIds = "ENSG00000132693.12",
excludeDataArray = FALSE,
itemsPerPage = 2)
#> Warning: ! Total number of items (7) exceeds maximum page size (2).
#> ℹ Try increasing `itemsPerPage`.
#>
#> ── Paging info ─────────────────────────────────────────────────────────────────
#> • numberOfPages = 4
#> • page = 0
#> • maxItemsPerPage = 2
#> • totalNumberOfItems = 7
response
#> # A tibble: 2 × 7
#> tissueSiteDetailId ontologyId datasetId gencodeId geneSymbol cellTypes unit
#> <chr> <chr> <chr> <chr> <chr> <list> <chr>
#> 1 Muscle_Skeletal UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
#> 2 Breast_Mammary_Tiss… UBERON:00… gtex_snr… ENSG0000… CRP <tibble> log(…
# "cellTypes" contains a tibble of data with one row for each
# cell type e.g. for Breast_Mammary_Tissue
response$cellTypes[[2]]
#> # A tibble: 2 × 8
#> cellType count meanWithZeros meanWithoutZeros medianWithZeros
#> <chr> <int> <dbl> <dbl> <dbl>
#> 1 Epithelial cell (luminal) 2 0.000902 2.19 0
#> 2 Endothelial cell (vascul… 1 0.00401 3.05 0
#> # ℹ 3 more variables: medianWithoutZeros <dbl>, numZeros <int>, data <list>
# when `excludeDataArray = FALSE`, expression values are stored in "data"
# e.g. for Breast_Mammary_Tissue, Epithelial cell (luminal):
response$cellTypes[[2]]$data[[1]]
#> [1] 1.593315 2.782725
# }