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. 2019 Feb 8;10:687. doi: 10.1038/s41467-019-08604-4

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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 — Transcription factors in ITC. a Heatmap showing mean expression levels (scaled by row) for variable transcription factors among cell types, clustered into four groups. b Flow-cytometric quantification of T-bet (N = 3) compared to transcript levels with RNA-seq for its encoding gene TBX21 (N = 6). Cluster 1, c TBX21, d HOPX, and e ZEB2; Cluster 3, f ID2, g ZBTB16, i ARNTL, and j RORA. h Flow-cytometric quantification of PLZF (N = 3) compared to transcript levels for its encoding gene ZBTB16 (N = 6). Error for tpm vs. MFI is s.e.m. Boxplots are described in Methods