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. 2019 Nov 22;10:5292. doi: 10.1038/s41467-019-13228-9

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© The Author(s) 2019

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. 6 — Single-cell PAIso−seq for GV oocytes. a Global poly(A) tail length distributions of all detected CCS reads (Pass ≥10) in single GV oocyte C1 (cell 1), C2, C4, C7, C15, and GV rep.2, and single GV oocyte-combined (SCGV com.) datasets. The median length of each poly(A) tail of a transcript is shown as the red dot and the number below the violin plot. b The frequency of non-A residues in single GV oocytes C1, C2, C4, C7, C15, GV rep.2, and SCGV com. datasets. c The Spearman’s correlation of gene poly(A) tail length between single GV oocyte C4 and GV rep.2 (top panel, n = 928), single GV oocyte C15 and GV rep.2 (middle panel, n = 566), single GV oocyte C15 and C4 datasets (bottom panel, n = 597) datasets. The blue line represents linear regression line. The light-gray area represents confidence interval of the regression. Genes with at least four transcripts in each of the datasets are included in the analysis.