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. 2022 Mar 28;5:277. doi: 10.1038/s42003-022-03224-z

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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. 2 — a Schematics outlining the approach used to measure the Gene Splicing Index (GSI). RPKM, reads per kilobase per million mapped reads. b GSI values ordered from low to high GSI and binned into ten deciles. Low-GSI genes (i.e., genes in the first decile) are indicated in red, and high-GSI genes (i.e., genes in the last decile), in blue. Student’s t-test p-values of the indicated comparison are shown. c Chromatin-associated RNA-seq (ChrRNA-seq) IGV snapshots are shown for genes with a low GSI (Id3 and Tbpl1) or a high GSI (Inadl and Utrn). d RT-qPCR determination of intronic and exonic levels of one low-GSI gene (Id3) and two high-GSI genes (Inadl and Utrn) using chromatin-associated RNA. Represented values are mean ± SEM of four (n = 4) independent biological replicates. Unpaired two-tailed Mann–Whitney p-values of the indicated comparison are provided. e Functional analysis using Gene Ontology (GO) of high-GSI genes and low-GSI genes. Number of genes in each category is shown. Sample size (n) of all sets of data are provided in Supplementary Data 4.