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. 2023 Aug 24;15:133. doi: 10.1186/s13148-023-01546-1

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© The Author(s) 2023, corrected publication 2023

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 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. 4 — CRISPR-dCas9 demethylation screen identifies functional epigenetic drivers in DLD1 cells. A Schema depicting the experimental CRISPR-dCas9 mediated pipeline adopted in the screen strategy. A total of 56 gene promoters were targeted with 2 gRNAs each against genomic regions with significant DNA hypermethylation levels in tumour cells. The screen was performed in parallel using DLD1 cells transduced with the chimeric constructs dCas9-TET1, dCas9-TET1-IM or the transcriptional activator dCas9-VP64. B Boxplots displaying the Scaled Robust Z-score data observed for the indicated gene promoters in the context of DLD1 cells transduced with dCas9-TET1 (top), dCas9-TET1-IM (middle) or dCas9-VP64 (bottom) constructs. Those epigenetic modulations that resulted in statistically significant changes in the proliferation rate of DLD1 cells are highlighted in orange, while conditions corresponding to control gRNAs are highlighted in red. C Venn diagrams illustrating the overlap of significant hits obtained in the different screen strategies. D Scatter plots showing the correlation between DNA methylation and gene expression levels for the gene RSPO2