Last updated: 2021-07-14

Checks: 6 1

Knit directory: mistyMBC/

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Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    analysis/.DS_Store
    Ignored:    analysis/.Rhistory
    Ignored:    code/
    Ignored:    data/
    Ignored:    output/.DS_Store
    Ignored:    output/HTAPP-213-SMP-6752/.DS_Store
    Ignored:    output/HTAPP-313-SMP-932/.DS_Store
    Ignored:    output/HTAPP-330-SMP-1082/.DS_Store
    Ignored:    output/HTAPP-364-SMP-1321/.DS_Store
    Ignored:    output/HTAPP-514-SMP-6760/.DS_Store
    Ignored:    output/HTAPP-853-SMP-4381/.DS_Store
    Ignored:    output/HTAPP-880-SMP-7179/.DS_Store
    Ignored:    output/HTAPP-895-SMP-7359/.DS_Store
    Ignored:    output/HTAPP-917-SMP-4531/.DS_Store
    Ignored:    output/HTAPP-944-SMP-7479/.DS_Store
    Ignored:    output/HTAPP-982-SMP-7629/.DS_Store
    Ignored:    output/HTAPP-997-SMP-7789/.DS_Store

Untracked files:
    Untracked:  analysis/cellcomm_misty.Rmd
    Untracked:  output/HTAPP-213-SMP-6752/HTAPP-213-SMP-6752_slide_seq_processed-1/
    Untracked:  output/HTAPP-213-SMP-6752/HTAPP-213-SMP-6752_slide_seq_processed-2/
    Untracked:  output/HTAPP-313-SMP-932/HTAPP-313-SMP-932_slide_seq_processed-1/
    Untracked:  output/HTAPP-313-SMP-932/HTAPP-313-SMP-932_slide_seq_processed-2/
    Untracked:  output/HTAPP-330-SMP-1082/HTAPP-330-SMP-1082_slide_seq_processed-2/
    Untracked:  output/HTAPP-514-SMP-6760/HTAPP-514-SMP-6760_slide_seq_processed-1/
    Untracked:  output/HTAPP-514-SMP-6760/HTAPP-514-SMP-6760_slide_seq_processed-2/
    Untracked:  output/HTAPP-783-SMP-4081/HTAPP-783-SMP-4081_slide_seq_processed-1/
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    Untracked:  output/HTAPP-812-SMP-8239/HTAPP-812-SMP-8239_slide_seq_processed-1/
    Untracked:  output/HTAPP-812-SMP-8239/HTAPP-812-SMP-8239_slide_seq_processed-2/
    Untracked:  output/HTAPP-853-SMP-4381/HTAPP-853-SMP-4381_slide_seq_processed-1/
    Untracked:  output/HTAPP-853-SMP-4381/HTAPP-853-SMP-4381_slide_seq_processed-2/
    Untracked:  output/HTAPP-878-SMP-7149/HTAPP-878-SMP-7149_slide_seq_processed-1/
    Untracked:  output/HTAPP-878-SMP-7149/HTAPP-878-SMP-7149_slide_seq_processed-2/
    Untracked:  output/HTAPP-880-SMP-7179/HTAPP-880-SMP-7179_slide_seq_processed-1/
    Untracked:  output/HTAPP-880-SMP-7179/HTAPP-880-SMP-7179_slide_seq_processed-2/
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    Untracked:  output/HTAPP-997-SMP-7789/HTAPP-997-SMP-7789_slide_seq_processed-1/
    Untracked:  output/HTAPP-997-SMP-7789/HTAPP-997-SMP-7789_slide_seq_processed-2/

Unstaged changes:
    Modified:   analysis/index.Rmd
    Modified:   analysis/simple_misty.Rmd

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


There are no past versions. Publish this analysis with wflow_publish() to start tracking its development.


Setup

library(reticulate)
library(mistyR)
library(future)
library(dplyr)
library(purrr)
library(OmnipathR)
library(stringr)

use_python("/usr/local/bin/python3")
plan(multisession)

Create ligand-receptor oriented mistyR pipeline

Get ligand and receptor symbols from Omnipath

extract_symbols <- function(op.source) {
  proteins <- op.source %>%
    filter(entity_type == "protein") %>%
    pull(genesymbol)
  complexes <- op.source %>%
    filter(entity_type == "complex") %>%
    pull(genesymbol) %>%
    str_remove("COMPLEX:") %>%
    str_split("_") %>%
    unlist()
  return(union(proteins, complexes) %>% make.names())
}

op.ligands <- import_omnipath_intercell(
  categories = "ligand",
  secreted = TRUE,
  consensus_percentile = 80
)

ligands <- extract_symbols(op.ligands)

op.receptors <- import_omnipath_intercell(
  categories = "receptor",
  secreted = FALSE,
  consensus_percentile = 80
)

receptors <- extract_symbols(op.receptors)

Define and run ligand receptor oriented mistyR pipelines for MBC cells in SlideSeq data. Relate expression of genes annotated as ligands in the neighborhood of each MBC cell to its intracellular receptor expression.

# 364 is a tricky sample
(list.files("data", ".h5ad", recursive = TRUE, full.names = TRUE) %>%
  keep(~ str_detect(.x, "slide_seq")))[-4] %>%
  walk(function(datapath) {
    data <- py$read_and_extract(datapath)
    mbs <- which(data[[1]][, which(str_detect(colnames(data[[1]]), "MBC"))] >= 0.9)
    expr <- as.data.frame(as.matrix(data[[2]])) %>% slice(mbs) %>%
      `colnames<-`(make.names(data[[4]]))
    pos <- data[[3]] %>% slice(mbs)

    unique(str_extract(rownames(pos), "-\\d$")) %>% walk(function(replicate) {
      output.folder <- paste0(
        str_replace(
          str_remove(datapath, ".h5ad"),
          "data", "output"
        ), replicate
      )

      output.folder.failed <- paste0(output.folder, "_failed")

      if (!(dir.exists(output.folder) | dir.exists(output.folder.failed))) {
        ind <- str_which(rownames(pos), paste0(replicate, "$"))

        ligand.views <- create_initial_view(expr[ind, ] %>%
          select(-names(which(apply(., 2, var) == 0))) %>% 
                 select(any_of(ligands))) %>%
          add_paraview(pos[ind, ], 100)

        misty.views <- create_initial_view(expr[ind, ] %>% 
          select(-names(which(apply(., 2, var) == 0))) %>% 
          select(any_of(receptors))) %>%
          add_views(list(ligand.views[["paraview.100"]]))

        tryCatch(
          run_misty(misty.views, results.folder = output.folder),
          error = function(e) file.rename(output.folder, output.folder.failed)
        )
      }
    })
  })

sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] stringr_1.4.0   OmnipathR_3.0.1 purrr_0.3.4     dplyr_1.0.7    
[5] future_1.21.0   mistyR_1.1.2    reticulate_1.20 workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] progress_1.2.2    tidyselect_1.1.1  xfun_0.24         bslib_0.2.5.1    
 [5] listenv_0.8.0     lattice_0.20-44   vctrs_0.3.8       generics_0.1.0   
 [9] htmltools_0.5.1.1 yaml_2.2.1        utf8_1.2.1        rlang_0.4.11     
[13] jquerylib_0.1.4   later_1.2.0       pillar_1.6.1      glue_1.4.2       
[17] DBI_1.1.1         rappdirs_0.3.3    readxl_1.3.1      lifecycle_1.0.0  
[21] cellranger_1.1.0  codetools_0.2-18  evaluate_0.14     knitr_1.33       
[25] httpuv_1.6.1      parallel_4.1.0    curl_4.3.2        fansi_0.5.0      
[29] Rcpp_1.0.7        readr_1.4.0       promises_1.2.0.1  backports_1.2.1  
[33] checkmate_2.0.0   jsonlite_1.7.2    parallelly_1.26.1 fs_1.5.0         
[37] hms_1.1.0         png_0.1-7         digest_0.6.27     stringi_1.6.2    
[41] grid_4.1.0        rprojroot_2.0.2   tools_4.1.0       magrittr_2.0.1   
[45] logger_0.2.1      sass_0.4.0        tibble_3.1.2      tidyr_1.1.3      
[49] crayon_1.4.1      pkgconfig_2.0.3   ellipsis_0.3.2    Matrix_1.3-4     
[53] xml2_1.3.2        prettyunits_1.1.1 httr_1.4.2        assertthat_0.2.1 
[57] rmarkdown_2.9     R6_2.5.0          globals_0.14.0    igraph_1.2.6     
[61] git2r_0.28.0      compiler_4.1.0