Composition confounding in the canonical ATL expression cohort: analysis code and results
Year: 2026
Type: software
Abstract: Completes the Wang and Iha (2023) ferroptosis gene list. No analysis code changes. Correction results/wang_iha_degs.json held 45 of the 46 ferroptosis-related differentially expressed genes that Wang and Iha report (21 up, 24 down instead of 21 up, 25 down). The missing gene is GABARAPL1, downregulated, log2 fold change -1.9746. It is a node of the ferroptosis protein interaction network in their Figure 6A, it is in the autophagy list of the same file with that fold change, and adding it gives exactly their reported 46 genes (21 up, 25 down). The autophagy list (26 genes, 9 up, 17 down) was already complete. Both lists were checked against the authors' supplementary tables (Supplementary Table S1 for ferroptosis, S3 for autophagy): all 46 and all 26 genes are present, every log2 fold change is identical, and the up and down counts agree. In Table S1 GABARAPL1 has an adjusted P value of 6.59e-09 and log2 fold change -1.9746. Effect on results test_wang_iha.py was rerun unchanged with the 46 genes. results_wangiha_ferroptosis.csv is regenerated; results_wangiha_autophagy.csv is identical to the earlier version. Genes with absolute rho above 0.3 with the erythroid score: 96 percent with 45 genes (P = 2e-17) and 96 percent with 46 genes (P = 9.1e-18) Genes with absolute rho above 0.3 with the monocyte fraction: 51 percent with 45 genes, 50 percent with 46 Significant after adjusting on deconvolution components: 43 of 45 with 45 genes, 44 of 46 with 46 Significant after adjusting on erythroid and monocyte content: 39 of 45 with 45 genes, 40 of 46 with 46 Files changed results/wang_iha_degs.json, results/results_wangiha_ferroptosis.csv and the release notes. Resolves The open point recorded in the v1.4 release notes, that the manuscript says 46 ferroptosis genes while the file held 45.
Author: Abusneina, Abdelmuhsen M.
Institution: University of Benghazi
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204861623