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. 2019 Mar 20;10(4):276. doi: 10.1038/s41419-019-1511-7

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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. 5 — a, b RTQ-PCR analysis of CRABP2, RARα, PPARβ/δ, PRL, and IGFBP1 transcript levels in 6 independent HESC cultures first transfected with NT, CRABP2 (a) or RARα (b) siRNA and then treated with cAMP and P4 for 4 days. Data show fold-change (mean ± SEM) relative to vehicle control (dotted line). *P < 0.05; **P < 0.01. c Representative SAβG staining of 3 independent HESC cultures first transfected with NT, CRABP2, or RARα siRNAs and then decidualized for 4 days. Original magnification: ×100. Scale bar: 200 μm. Data shows SAβG staining intensity score resulted from 300 decidual cells in 3 random fields Different letters above error bars denote significance at P < 0.05 (right panel). d, e Representative Western blot of RA-related gene proteins and p53 in whole-cell lysates obtained from 6 independent HESC cultures treated as indicated. β-actin serves as a loading control (left panel). RTQ-PCR analysis of BTG2 transcript levels in primary parallel cultures (right panel). The results show the fold-change (mean ± SEM)