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. 2023 Mar 14;11:16. doi: 10.1038/s41413-023-00250-3

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© The Author(s) 2023

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. 3 — Zfp687 mutant mice display increased cBMAT composition at 3 months of age. a Box plots showing the quantification of the tibial cBMAT volume expressed as the percentage of BMAT to total bone marrow ratio (BMAT/BM; left), the adipocyte area (middle), and the adipocyte number (right) of wild-type (n = 7), Zfp687^P937R/+ (n = 6), and Zfp687^P937R/P937R (n = 8) mice at 3 months of age. Data are presented as the median ± s.d. Statistical significance was assessed by one-way ANOVA with Dunnett’s multiple comparison test (*P < 0.05; **P < 0.01). b Representative H&E-stained images of distal tibial sections analyzed for adipocyte measurements of the indicated genotypes. c, d Oil Red O (ORO) staining of wild-type, Zfp687^P937R/+, and Zfp687^P937R/P937R BM-MSCs upon adipogenic induction and differentiation (plate view in c) and 20X magnification in (d). Scale bars, 100 µm. e Bar graphs show the intensity of ORO staining (absorbance at 490 nm) of wild-type (n = 4), Zfp687^P937R/+ (n = 5), and Zfp687^P937R/P937R (n = 6) adipocytes. Data are presented as the mean ± s.d. Statistical significance was assessed by one-way ANOVA with Dunnett’s multiple comparison test (**P < 0.01)