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. 2023 Sep 21;55(10):1721–1734. doi: 10.1038/s41588-023-01504-w

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© The Author(s) 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 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,b, Pie graphs representing R-loop distributions in MCF10A WT and A3B KO cells. c–e, Meta-analysis of read density (FPKM) for DRIP–seq results from WT (blue) and A3B KO (red) MCF10A partitioned into three groups (c, increased; d, decreased and e, unchanged) as described in the text. Input read densities are indicated by overlapping gray lines. f–k, DRIP–seq profiles (f,h,j) for representative genes in each of the groups defined in c–e (WT, blue; KO, red). DRIP–qPCR for the indicated genes (g,i,k) ±exogenous RNase H (RNH; striped bars). Values are expressed as percentage of input (means ± s.e.m.). n = 6 (GADD45A, HIST1H1E and DDX1), n = 4 (PHLDA1), n = 8 (−RNH) and n = 6 (+RNH; HISTH1B and SYT8) biologically independent experiments for indicated gene. P value by two-tailed unpaired t-test.