Various variations of visualizations of clonal expansion post-RunAPOTC

Given a seurat object with an 'apotc' (APackOfTheClones) object from running RunAPOTC(), this function will read the information and return a customizable ggplot2 object of the clonal expansion with a circle size legend. If the user is unhappy about certain aspects of the plot, many parameters can be adjusted with the AdjustAPOTC function.

The specific APackOfTheClones run to be plotted can be identified in two ways: either by inputting the run_id associated with the run that was either defined / auto-generated during RunAPOTC(), or by inputting the reduction_base, clonecall, extra_filter and any other keyword arguments that corresponded to the run. Its heavily recommended to use the run_id. If none of these parameters are inputted, the function defaults to returning the plot of the latest run.

Usage

APOTCPlot(
  seurat_obj,
  reduction_base = NULL,
  clonecall = NULL,
  ...,
  extra_filter = NULL,
  run_id = NULL,
  show_shared = NULL,
  only_link = NULL,
  clone_link_width = "auto",
  clone_link_color = "black",
  clone_link_alpha = 0.5,
  res = 360L,
  linetype = "blank",
  use_default_theme = TRUE,
  retain_axis_scales = FALSE,
  alpha = 1,
  show_labels = FALSE,
  label_size = 5,
  add_size_legend = TRUE,
  legend_sizes = "auto",
  legend_position = "auto",
  legend_buffer = 0.2,
  legend_color = "#808080",
  legend_spacing = "auto",
  legend_label = "Clone sizes",
  legend_text_size = 5,
  add_legend_background = TRUE,
  add_legend_centerspace = 0,
  detail = TRUE,
  verbose = TRUE
)

Arguments

seurat_obj

A seurat object that has been integrated with clonotype data and has had a valid run of RunAPOTC().

reduction_base

character. The seurat reduction to base the clonal expansion plotting on. Defaults to 'umap' but can be any reduction present within the reductions slot of the input seurat object, including custom ones. If `'pca'“, the cluster coordinates will be based on PC1 and PC2. However, generally APackOfTheClones is used for displaying UMAP and occasionally t-SNE versions to intuitively highlight clonal expansion.

clonecall

character. The column name in the seurat object metadata to use. See scRepertoire documentation for more information about this parameter that is central to both packages.

...

additional "subsetting" keyword arguments indicating the rows corresponding to elements in the seurat object metadata that should be filtered by. E.g., seurat_clusters = c(1, 9, 10) will filter the cells to those in the seurat_clusters column with any of the values 1, 9, and 10. Unfortunately, column names in the seurat object metadata cannot conflict with the keyword arguments. MAJOR NOTE if any subsetting keyword arguments are a prefix of any preceding argument names (e.g. a column named reduction is a prefix of the reduction_base argument) R will interpret it as the same argument unless both arguments are named. Additionally, this means any subsequent arguments must be named.

extra_filter

character. An additional string that should be formatted exactly like a statement one would pass into dplyr::filter that does additional filtering to cells in the seurat object - on top of the other keyword arguments - based on the metadata. This means that it will be logically AND'ed with any keyword argument filters. This is a more flexible alternative / addition to the filtering keyword arguments. For example, if one wanted to filter by the length of the amino acid sequence of TCRs, one could pass in something like extra_filter = "nchar(CTaa) - 1 > 10". When involving characters, ensure to enclose with single quotes.

run_id

character. This will be the ID associated with the data of a run, and will be used by other important functions like APOTCPlot() and AdjustAPOTC. Defaults to NULL, in which case the ID will be generated in the following format:

reduction_base;clonecall;keyword_arguments;extra_filter

where if keyword arguments and extra_filter are underscore characters if there was no input for the ... and extra_filter parameters.

show_shared

The output of getSharedClones can be inputted here, and the resulting plot will overlay lines between clone circles if that clonotype is common between clusters. Note that the input must be generated from data in the correct APackOfTheClones run, and the behavior is undefined otherwise and will likely error. The next 4 arguments allow for aesthetic customization of these line links.

only_link

Optional integer indicating to only display clone links originating from this cluster if showing shared clones.

clone_link_width

numeric. The width of the lines that connect shared clones. Defaults to "auto" which will estimate a reasonable value depending on circle sizes.

clone_link_color

character. The color of the lines that connect shared clones. Defaults to "blend" which will use the average colors of the two connected clones. Else, any hex color or valid color string input will work, and the corresponding color will be applied on all links.

clone_link_alpha

numeric. The alpha of the lines that connect shared clones.

res

The number of points on the generated path per full circle. From plot viewers, if circles seem slightly too pixelated, it is recommended to first try to export the plot as an .svg before increasing res due to increased plotting times from ggforce::geom_circle.

linetype

The type of outline each circle should have. defaults to "blank meaning no outline. More information is in the function documentation of ggforce::geom_circle.

use_default_theme

logical that defaults to TRUE. If TRUE, the resulting plot will have the same theme as the seurat reference reduction plot. Else, the plot will simply have a blank background.

retain_axis_scales

If TRUE, approximately maintains the axis scales of the original reduction plot. However, it will only attempt to extend the axes and never shorten. Users are recommended to set this to TRUE especially if working with subsetted versions of the clonal data to better preserve the geometric relation to the original dimensional reduction.

alpha

numeric. The alpha of the circles in (0, 1]. Defaults to 1.

show_labels

If TRUE, will label each circle cluster at the centroid, defaulting to "C0, C1, ...".

label_size

The text size of labels if shown. Defaults to 5.

add_size_legend

If TRUE, adds a legend to the plot visualizing the relative sizes of clones. Note that it is simply an overlay and not a real ggplot2 legend.

legend_sizes

numeric vector. Indicates the circle sizes to be displayed on the legend, and will always be sorted from smallest to greatest. Defaults to "auto" which estimate a reasonable range of sizes to display.

legend_position

character or numeric. Can be set to either "top_left", "top_right", "bottom_left", "bottom_right" and places the legend roughly in the corresponding position. Otherwise, can be a numeric vector of length 2 indicating the x and y position of the topmost (smallest) circle of the legend.

legend_buffer

numeric. Indicates how much to "push" the legend towards the center of the plot from the selected corner. If negative, will push away

legend_color

character. Indicates the hex color of the circles displayed on the legend. Defaults to the hex code for a gray tone

legend_spacing

numeric. Indicates the horizontal distance between each stacked circle on the size legend. Defaults to "auto" which will use an estimated value depending on plot size

legend_label

character. The title of the legend, which defaults to "clone sizes.

legend_text_size

numeric. The text size of the letters and numbers on the legend

add_legend_background

logical. If TRUE, will add a border around the legend and fill the background to be white, overlaying anything else.

add_legend_centerspace

numeric. An additional amount of distance changed between the circle sizes on the left side of the legend and the numbers on the right. Useful to set to around 0.5 (or more / less) when there are particularly large clone sizes that may cover the numbers.

detail

logical. If FALSE, will only plot entire clusters as one large circle, which may be useful in cases where there are a high number of clones resulting in a large number of circles on the resulting ggplot, which has increased plotting times, and certain aspects of the plot needs to be finely adjusted with AdjustAPOTC or simply inspected. This should not be set to FALSE for the actual clonal expansion plot.

verbose

logical. Decides if visual cues are displayed to the R console of the progress.

Value

A ggplot object of the APackOfTheClones clonal expansion plot of the seurat object. There is an additional 10th element in the object named "APackOfTheClones" used by other functions in this package and shouldn't interfere with any other ggplot functionality. (As far as currently known)

Examples

data("combined_pbmc")

combined_pbmc <- RunAPOTC(
    combined_pbmc, run_id = "run1", verbose = FALSE
)

# plotting with default arguments will plot the latest "run1"
clonal_packing_plot <- APOTCPlot(combined_pbmc)
#> * using the latest APackOfTheClones Run Data with object id: run1
#> * generated ggplot object

Various variations of visualizations of clonal expansion post-RunAPOTC

Usage

Arguments

Value

See also

Examples