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. 2021 May 6;11:9737. doi: 10.1038/s41598-021-89123-5

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© The Author(s) 2021

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/.

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Identification of testis-specific Mga variant mRNA. (A) Prediction scores as the splice acceptor and donor of Mga pre-mRNA from SpliceAI deep learning. Scores as the splice acceptor and donor are shown as green and blue bars, respectively, whose height is proportional to the score level. In addition to known exons, SpliceAI indicated a set of high scores for the splice acceptor and donor within the regions of the 15th and 18th introns of the Mga gene marked with blue and red asterisks, respectively. The latter region is enlarged to provide actual scores from SpliceAI. (B) qPCR analyses of Mga SV (upper panel) and canonical Mga (lower panel) mRNAs in total RNAs from various tissues. Values obtained from ESCs were arbitrarily set to one for both Mga mRNA species. Data represents the mean ± standard deviation of three independent experiments. The Student’s t-test was conducted to examine statistical significance. ***P < 0.001.