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. 2018 Mar 6;8:4071. doi: 10.1038/s41598-018-22248-2

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© The Author(s) 2018

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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Michaelis-Menten Modelling of Dropouts (M3Drop). The single-cell transcriptome dataset of 161 blastomeres from six Day 2 and eight Day 3 embryos was analysed with the M3Drop tool¹⁸. Genes with detectable levels of transcripts in all blastomeres (genes not affected by dropouts; n = 15) were identified with the Z-test and hierarchical clustering was performed only on these genes. Expression values are displayed as Z-scores of log2 transformed expression data (adding a pseudo-count of 1). A blue colour label in the embryo ID row marks cells collected from Day 2 embryos; cells from Day 3 embryos are marked in red. Note that cells cluster independently of embryo age.