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. 2023 Dec 14;13:22187. doi: 10.1038/s41598-023-49310-y

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Distinct cell populations are associated with upstream regulators triggering immune response and neuronal dysfunction. (A) Uniform manifold approximation and projection (UMAP) of single cell data from CA1 hippocampal cells with eight defined clusters (left panel). Representative UMAP example of SE 12 h reveals distinct cell states compared to control 12 h, mainly originating from the “immune” and “neurons3” clusters (right panels). (B) Cell-state prediction of the “immune” (upper panel) and “neurons3” (lower panel) clusters of control (12 h, 36 h and 72 h) and SE (6 h, 12 h, 24 h, 36 h and 72 h). (C) Proportion of individual cell clusters belonging to six selected BHC clusters. TFEA depicts predictive TFs regulators for each cluster for “Immune” population (upper panel) and “Neurons3” (lower panel). n-numbers indicate the numbers of genes associated with each TF. (D) Graphical summary of the IPA analysis of the “Immune” and Neurons3″ populations. The graphical summaries were generated using the QIAGEN IPA software v01-22-01 (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA).