Last updated: 2026-09-09
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Knit directory:
immgenT-GP-analysis/analysis/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 6f01135 | Ziang Zhang | 2026-09-09 | Pull the tissue figure back out of Extended Data; ED is 1-8 again |
| html | a7a481f | Ziang Zhang | 2026-09-09 | Build site: the rebuilt Figure 1d and the Extended Data renumbering |
| Rmd | c233cd8 | Ziang Zhang | 2026-09-09 | Extended Data reorganisation: split the tissue/cluster figure, renumber 3-8 |
| html | 1e88d7e | Ziang Zhang | 2026-09-04 | Build site: published captions and titles across all 24 pages |
| Rmd | 0267e5b | Ziang Zhang | 2026-09-04 | Captions from the published manuscript; trim editor notes off the page code |
| html | 19c977f | Ziang Zhang | 2026-09-02 | Build site: Extended Data 5-7 renumbered, Figure S5 page rebuilt |
| html | 9167d8f | Ziang Zhang | 2026-08-19 | Build site: Extended Data Figure 3 page rebuilt |
| Rmd | 7b0f736 | Ziang Zhang | 2026-08-19 | Extended Data Figure 3 intro: drop the repository-scope phrasing |
| html | ae03072 | Ziang Zhang | 2026-08-19 | Build site: six pages rebuilt after the prose cleanup |
| Rmd | adc2327 | Ziang Zhang | 2026-08-19 | Site prose: finish taking internal notes off the pages |
| html | eeca07b | Ziang Zhang | 2026-08-05 | Keep pre-refactor provenance in panel comments off the published pages |
| Rmd | 5651d0e | Ziang Zhang | 2026-08-05 | Extended Data tables: reorder to six, rebuild Table 1, drop internal notes |
| html | cbcec52 | Ziang Zhang | 2026-07-30 | Build site: Extended Data Figure naming |
| Rmd | 66aa029 | Ziang Zhang | 2026-07-30 | Name the Extended Data figures as published on the site |
| html | ac650a0 | Ziang Zhang | 2026-07-30 | Build site: Figure S5 (ex-S6a) and Figure S6 as a-f |
| html | ae21d37 | Ziang Zhang | 2026-07-28 | Build site: republish after the reorder commits |
| html | d538aa2 | Ziang Zhang | 2026-07-28 | Build site: reordered Figures 6 / S6 / S3 and the new Figure 7b page |
| Rmd | 4c07670 | Ziang Zhang | 2026-07-28 | Reorder Figures 6, S6 and S3; make the ex-S5 figure Figure 7b |
| html | 029b0ae | Ziang Zhang | 2026-07-28 | Build site. |
| Rmd | 0f5b5da | Ziang Zhang | 2026-07-28 | Align all figure captions with captions_20260728_final.docx |
| html | 3fc3789 | Ziang Zhang | 2026-07-27 | Republish all 24 pages |
| html | 1390a03 | Ziang Zhang | 2026-07-27 | Republish all 24 pages |
| html | adaef21 | Ziang Zhang | 2026-07-27 | Build site: panel fixes and PDF-derived assets |
| html | 5b19858 | Ziang Zhang | 2026-07-27 | Build site. |
| Rmd | 91ee059 | Ziang Zhang | 2026-07-26 | Select each panel’s code block by name, not by line number |
| html | 91ee059 | Ziang Zhang | 2026-07-26 | Select each panel’s code block by name, not by line number |
| Rmd | fa5a501 | Ziang Zhang | 2026-07-18 | Fig S3c: reproduce collaborator panel (activated CD4/CD8, threshold 0.1) |
| html | fa5a501 | Ziang Zhang | 2026-07-18 | Fig S3c: reproduce collaborator panel (activated CD4/CD8, threshold 0.1) |
| Rmd | b197499 | Ziang Zhang | 2026-07-16 | Restructure main figures (renumber + split Figure 1) |
| html | b197499 | Ziang Zhang | 2026-07-16 | Restructure main figures (renumber + split Figure 1) |
| html | 92021bf | Ziang Zhang | 2026-07-02 | Build site. |
| html | 827c89b | Ziang Zhang | 2026-07-02 | Build site. |
| Rmd | 8ac7f9f | Ziang Zhang | 2026-07-02 | Add data provenance notes to each script; remove conversational |
| Rmd | f9db962 | Ziang Zhang | 2026-07-02 | Simplify layout: drop old code/script folders, rename |
| html | c6e5086 | Ziang Zhang | 2026-07-02 | Build site. |
| html | 5a79883 | Ziang Zhang | 2026-07-02 | Build site. |
| Rmd | 2b0e445 | Ziang Zhang | 2026-07-02 | Fix GitHub source links to point at the new |
| html | cf1d0ac | Ziang Zhang | 2026-07-02 | Build site. |
| Rmd | 06b2461 | Ziang Zhang | 2026-07-02 | Initial commit: immgenT-GP-analysis |
| html | 06b2461 | Ziang Zhang | 2026-07-02 | Initial commit: immgenT-GP-analysis |
This single-panel figure is produced by script/FigureS3.R.
It shows the final full row-centered matrix, with all 200 GPs and all
107 observed level-2 clusters. The analysis uses healthy non-thymocyte
cells (condition_broad == "healthy" and
annotation_level1 != "thymocyte"). For each GP, its mean
loading across clusters is subtracted from every cluster mean, so a row
says where a program is more or less active than its own average rather
than how large its loading is. The centered color scale is fixed at -0.2
to 0.2; values outside this range are saturated at the endpoint colors.
It is the mean-loading counterpart of Extended
Data Figure 5, which resolves the same clusters cell by cell.
# Figure S3. GP activity across T cell clusters.
#
# One panel (see analysis/FigureS3.Rmd for the caption text):
# s3 Row-centered mean GP activity across the 107 level-2 clusters, all
# 200 GPs, in healthy non-thymocyte cells.
#
#
# For each GP, its mean loading across clusters is subtracted from every cluster
# mean, so the panel shows where a program is more or less active than its own
# average rather than how large its loading is. The centered color scale is
# fixed at [-0.2, 0.2]; values outside this range saturate at the endpoint
# colors. Level2 columns follow Figure 1's level1 order, with level2 labels
# alphabetized within each level1 block.
#
# Required inputs (data/) -- see code/README.md's "Data provenance" table
# for the full picture:
# L_pm_filtered.rds [code/pipeline/01b_filter_cells.R]
# igt1_96_..._ADTonly.Rds [primary input Seurat object]
suppressPackageStartupMessages({
library(ComplexHeatmap)
library(circlize)
library(grid)
library(ZemmourLib)
})
if (!file.exists("code/R/setup_data.R")) {
stop("Run this script from the immgenT-GP-analysis repository root.")
}
source("code/R/setup_data.R")
source("code/R/centered_mean_heatmap.R")
figure_path <- "figures/final-selected/Figure S3"
dir.create(figure_path, recursive = TRUE, showWarnings = FALSE)
# ============================================================
# Setup, centering, and ordering
# ============================================================
gp_data <- load_gp_data()
reference <- healthy_nonthymocyte_reference(gp_data)
L_reference <- reference$L
meta_reference <- reference$meta
centered_color_limit <- 0.2
level1_order <- c("CD8", "CD4", "Treg", "gdT", "CD8aa", "Tz", "DN", "DP")
level2_result <- mean_loading_by_group(L_reference, meta_reference$annotation_level2)
level2_raw <- level2_result$matrix
level2_centered <- center_by_gp_mean(level2_raw)
level2_group_level1 <- level2_to_level1_map(
meta_reference, colnames(level2_raw), level1_order
)
level2_order <- dominant_group_order(
level2_raw,
level2_column_order(colnames(level2_raw), level2_group_level1, level1_order)
)
stopifnot(
nrow(level2_centered) == 200L,
ncol(level2_centered) == 107L,
max(abs(rowMeans(level2_centered))) < 1e-12
)
level2_palette <- palette_for_groups(
colnames(level2_centered),
ZemmourLib::immgent_colors$level2,
"annotation_level2"
)
level1_palette <- ZemmourLib::immgent_colors$level1[level1_order]
render_centered_heatmap(
level2_centered,
level2_palette,
"cluster (annotation_level2)",
file.path(figure_path, "s3.pdf"),
level2_order$row_order,
level2_order$column_order,
centered_color_limit,
paste0(
"all 200 GPs; level2 columns: Figure 1 level1 order ",
"(CD8, CD4, Treg, gdT, CD8aa, Tz, DN, DP); ",
"alphabetical within level1; GP rows: dominant-group blocks"
),
group_level1 = level2_group_level1,
level1_palette = level1_palette
)
summary_dir <- "output/FigureS3" # build intermediate (not a manuscript panel)
dir.create(summary_dir, recursive = TRUE, showWarnings = FALSE)
write.csv(
data.frame(
panel = "s3",
grouping = "annotation_level2",
view = "full row-centered mean loading",
gp_count = nrow(level2_centered),
group_count = ncol(level2_centered),
centered_definition = "group mean minus mean across groups for each GP",
color_min = -centered_color_limit,
color_mid = 0,
color_max = centered_color_limit,
observed_min = min(level2_centered),
observed_max = max(level2_centered)
),
file.path(summary_dir, "S3_summary.csv"),
row.names = FALSE,
quote = FALSE
)
message("Wrote Figure S3 to ", normalizePath(figure_path))

| Version | Author | Date |
|---|---|---|
| c233cd8 | Ziang Zhang | 2026-09-09 |
Extended Data Fig. 3. Row-centered mean GP activity across the 107 level-2 clusters. Mean GP activity computed in samples at baseline.
sessionInfo()
R version 4.5.1 (2025-06-13)
Platform: aarch64-apple-darwin20
Running under: macOS Sequoia 15.6.1
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] en_CA/en_CA/en_CA/C/en_CA/en_CA
time zone: America/Chicago
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] vctrs_0.7.3 cli_3.6.6 knitr_1.50 rlang_1.2.0
[5] xfun_0.55 stringi_1.8.9 otel_0.2.0 promises_1.5.0
[9] jsonlite_2.0.0 workflowr_1.7.2 glue_1.8.1 rprojroot_2.1.1
[13] git2r_0.36.2 htmltools_0.5.9 httpuv_1.6.16 sass_0.4.10
[17] rmarkdown_2.30 evaluate_1.0.5 jquerylib_0.1.4 tibble_3.3.0
[21] fastmap_1.2.0 yaml_2.3.12 lifecycle_1.0.5 whisker_0.4.1
[25] stringr_1.6.0 compiler_4.5.1 fs_1.6.6 Rcpp_1.1.1-1.1
[29] pkgconfig_2.0.3 later_1.4.4 digest_0.6.39 R6_2.6.1
[33] pillar_1.11.1 magrittr_2.0.5 bslib_0.9.0 tools_4.5.1
[37] cachem_1.1.0