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. 2022 Oct 7;11(1):60. doi: 10.1038/s41389-022-00435-1

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© The Author(s) 2022

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

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Fig. 5 — A Volcano plot showing 229 upregulated (>1.5 fold) genes depicted in red and 298 downregulated (<1.5 fold) genes depicted in green (Padj < 0.05). B Pie charts showing the percentage of ZNF148-bound direct target genes or the unbound genes in up- or downregulated genes upon ZNF148 knockdown in MDA-MB-231 cells. C Transcription factor activating and repressive function prediction by BETA [44]. The upregulated (red line) and downregulated (purple line) ZNF148 target genes are cumulated by the rank on the basis of the regulatory potential score from high to low (X-axis). Both the up- or downregulated genes are significantly distributed above the non-differentially expressed static background (dashed line) by the Kolmogorov–Smirnov test [44]. D GO biological process analysis of downregulated genes from “A”. E As in “D” for the upregulated genes.