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. 2023 Dec 5;24:279. doi: 10.1186/s13059-023-03110-9

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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 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. 1 — DENV and ZIKV genomes interact with hundreds of host RNAs in cells. a Experimental workflow to identify virus-host RNA interactions globally using biotinylated psoralen and proximity ligation sequencing. b Pie chart showing the number of RNAs from different RNA classes that interact with DENV and ZIKV viruses. c GO term enrichments of the host RNAs that interact with different strains of DENV and ZIKV viruses. The Y-axis indicates log (p-value) and the X-axis indicates the number of folds that the genes are enriched in binding to the virus genome as compared to the background