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. 2022 Dec 19;26(1):12–26. doi: 10.1038/s41593-022-01221-3

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 1 — a, Flow cytometry analysis isolating GFP+ microglia, GLAST-PE+ astrocytes, and double-negative neurons. (n = 1). b, Quantification of percent IBA1+ and MAP2+ cells by ICC in tri-culture (n = 4 biologically independent experiments). Error bars represent SEM. c, Death kinetics of no iron + RSL3 compared to no iron + veh and iron + RSL3. (n = 3 biologically independent experiments). Error bars represent SEM. d–h, quality control for scRNAseq. Minima = minimum value, maxima = maximum value, center = median, bounds of box = 25^th and 75^th percentile, bounds of whisker = minima and maxima. i, Percent cells per cluster per condition. (n = 3 biologically independent experiments). Two-way ANOVA, Tukey post hoc. p-values are indicated in graph. j–o, Cell type identification of gene expression by j, k AIF1 and SPI1 for microglia, l,m SLC1A3 and GFAP for astrocytes, and n,o NEFL and STMN2 for neurons.