A subsetted version of human 'panc8' datasets

Human pancreatic islet cell datasets produced across four technologies, SMART-Seq2 (E-MTAB-5061), CelSeq (GSE81076), CelSeq2 (GSE85241), and Fluidigm C1 (GSE86469), from SeuratData package. For each data set in panc8, 200 cells were downsampled to form the panc8_sub dataset.

Format

A Seurat object.

Source

E-MTAB-5061, GSE81076, GSE85241, GSE86469

Examples

if (interactive()) {
  data(pancreas_sub)
  check_r("satijalab/seurat-data")
  library(Seurat)
  InstallData <- get_namespace_fun("SeuratData", "InstallData")
  InstallData("panc8")
  data(panc8)
  panc8 <- UpdateSeuratObject(panc8)
  set.seed(98)
  cells_sub <- unlist(
    lapply(
      split(colnames(panc8), panc8$dataset),
      function(x) sample(x, size = 200)
    )
  )
  panc8_sub <- subset(panc8, cells = cells_sub)
  counts <- GetAssayData5(
    panc8_sub,
    layer = "counts"
  )
  panc8_sub <- CreateSeuratObject(
    counts = counts,
    meta.data = panc8_sub@meta.data
  )
  panc8_sub <- panc8_sub[Matrix::rowSums(counts) > 0, ]
  panc8_sub <- panc8_sub[toupper(
    rownames(panc8_sub)
  ) %in% toupper(
    rownames(pancreas_sub)
  ), ]
  panc8_sub$celltype <- gsub("_", "-", panc8_sub$celltype)
  panc8_sub$celltype <- gsub(" ", "-", panc8_sub$celltype)
  use_data <- get_namespace_fun("usethis", "use_data")
  use_data(
    panc8_sub,
    compress = "xz",
    overwrite = TRUE
  )
}