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. 2023 May 3;16:46. doi: 10.1186/s13045-023-01442-4

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© The Author(s) 2023

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. 3 — Multi-omics analysis reveals the difference between parental RM1 and hybrid cells. a Venn diagram showing the overlap of detected genes, proteins, and phosphoproteins. b Volcano plot showing the common genes in the transcriptome and proteome. c Volcano plot showing the proteins with different phosphorylation status between parental RM1 and hybrid tumor cells. d Volcano plot showing the different abundance of metabolites between RM1 cells and hybrid tumor cells. e, f KEGG enrichment analysis of the commonly up-regulated genes (e) and down-regulated genes (f) in both the transcriptome and proteome. g KEGG enrichment analysis of the proteins with different phosphorylation statuses between parental RM1 and hybrid tumor cells. h, i Functional STRING network of the proteins with significantly higher phosphorylation status (h) or lower phosphorylation status (i) in hybrid cells