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. 2022 Apr 26;22:114. doi: 10.1186/s12866-022-02535-9

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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, visithttp://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. 4 — Differentially expressed proteins between the control groups and lomitapide-treated (at 1/2 × MIC) groups found by proteomics analysis. A Volcano map and total number of differentially expressed proteins, the horizontal axis represents the ratio of differentially expressed proteins in lomitapide treated group and untreated group of S. aureus, red shows an increase after treated and blue shows decrease. Vertical axis represents p-value between the two groups. B Gene Ontology analysis applied to differentially expressed proteins according to biological process. C KEGG analysis of the differentially expressed proteins using the DAVID database [22]