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. 2022 Jul 29;79(8):455. doi: 10.1007/s00018-022-04494-w

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© The Author(s) 2022

Open AccessThis 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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Fig. 2 — Functional analysis during SCI evolution. A Heatmap representing the activation level computed by Hipathia algorithm of differentially activated GO functions for the comparisons on weeks 1, 2, 4, and 8 after SCI relative to the uninjured spinal cord (T0). Red, upregulation; blue, downregulation; v1–v4 indicates replicates for each condition. B Graphical representation of the mean activation levels and associated standard deviation for selected functions encountered in clusters 3 and 7 (*, adjusted p-value < 0.05). C Dot plot depicting significantly altered cAMP-related GO terms after SCI. Colour intensity represents the corresponding adjusted p-value, while dot size indicates the logFC