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. 2020 Apr 7;18:159. doi: 10.1186/s12967-020-02318-8

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© The Author(s) 2020

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — a Raw distribution of SILAC quantifications given as log₂ (heavy (control)/light (SAHA) ratios. b Scatterplot of the normalized SILAC data showing protein expression changes (log₂ scale) in Jurkat (x-axis) and SUDHL5 (y-axis) after SAHA treatment. c Venn diagrams illustrating significant differentially expressed proteins in Jurkat and SUDHL5 after SAHA treatment (upper panel). The lower panel shows the 19 common proteins that were significant differentially (> 1.5-fold) expressed in the two cell lines (linear scale). d DEPs from Jurkat (left) and SUDHL5 (right) were presented to IPA analysis. The most confidently affected pathways are shown with -log p values on the Y-axis, indicated with a line is p = 0.05. The percentage of overlap of the pathway is also denoted