View source: R/MonacoImmuneData.R
MonacoImmuneData | R Documentation |
Download and cache the normalized expression values of 114 bulk RNA-seq samples of sorted immune cell populations that can be found in GSE107011.
MonacoImmuneData(
ensembl = FALSE,
cell.ont = c("all", "nonna", "none"),
legacy = FALSE
)
ensembl |
Logical scalar indicating whether to convert row names to Ensembl IDs. Genes without a mapping to a non-duplicated Ensembl ID are discarded. |
cell.ont |
String specifying whether Cell Ontology terms should be included in the |
legacy |
Logical scalar indicating whether to pull data from ExperimentHub. By default, we use data from the gypsum backend. |
The dataset contains 114 human RNA-seq samples annotated to 10 main cell types ("label.main"
):
CD8+ T cells
T cells
CD4+ T cells
Progenitors
B cells
Monocytes
NK cells
Dendritic cells
Neutrophils
Basophils
Samples were additionally annotated to 29 fine cell types ("label.fine"
):
Naive CD8 T cells
Central memory CD8 T cells
Effector memory CD8 T cells
Terminal effector CD8 T cells
MAIT cells
Vd2 gd T cells
Non-Vd2 gd T cells
Follicular helper T cells
T regulatory cells
Th1 cells
Th1/Th17 cells
Th17 cells
Th2 cells
Naive CD4 T cells
Terminal effector CD4 T cells
Progenitor cells
Naive B cells
Non-switched memory B cells
Exhausted B cells
Switched memory B cells
Plasmablasts
Classical monocytes
Intermediate monocytes
Non classical monocytes
Natural killer cells
Plasmacytoid dendritic cells
Myeloid dendritic cells
Low-density neutrophils
Low-density basophils
The subtypes have also been mapped to the Cell Ontology ("label.ont"
,
if cell.ont
is not "none"
), which can be used for further programmatic
queries.
A SummarizedExperiment object with a "logcounts"
assay
containing the log-normalized expression values, along with cell type labels in the
colData
.
Jared Andrews
Monaco G et al. (2019). RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types Cell Rep. 26, 1627-1640.
ref.se <- MonacoImmuneData()
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