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. 2020 Dec 10;10:21711. doi: 10.1038/s41598-020-78863-5

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© The Author(s) 2020

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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The most stable genes out of 70 selected for this study. The most stable genes are shown on the left, and the least stable genes are shown on the right. The small ribosomal subunit 13a is ranked as the most stable by all algorithms, with the large ribosomal subunit Rplp1 following it. Overall, the ribosomal subunits Rpl13a, Rplp1 and Rps18 were selected as the most stable genes throughout the iPS reprogramming.