1. Zhao, Jing, He, Kaiying, Du, Hongxuan, Zhou, Xiaochun, Wang, Jianqin. 2022. Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice. In PeerJ, 10, e13932. doi:10.7717/peerj.13932. https://pubmed.ncbi.nlm.nih.gov/36157062/
2. Di-Luoffo, M, Brousseau, C, Tremblay, J J. 2016. MEF2 and NR2F2 cooperate to regulate Akr1c14 gene expression in mouse MA-10 Leydig cells. In Andrology, 4, 335-44. doi:10.1111/andr.12150. https://pubmed.ncbi.nlm.nih.gov/26748576/
3. Becker, Julia C, Gérard, Deborah, Ginolhac, Aurélien, Sauter, Thomas, Sinkkonen, Lasse. 2019. Identification of genes under dynamic post-transcriptional regulation from time-series epigenomic data. In Epigenomics, 11, 619-638. doi:10.2217/epi-2018-0084. https://pubmed.ncbi.nlm.nih.gov/31044623/
4. Li, Linxi, Chen, Xiaomin, Hu, Guoxin, Lian, Qing-Quan, Ge, Ren-Shan. 2016. Comparison of the Effects of Dibutyl and Monobutyl Phthalates on the Steroidogenesis of Rat Immature Leydig Cells. In BioMed research international, 2016, 1376526. doi:10.1155/2016/1376526. https://pubmed.ncbi.nlm.nih.gov/27148549/
5. Hao, Xinrui, Guan, Xiaoju, Zhao, Xingxing, Ye, Leping, Chen, Haolin. 2020. Phthalate inhibits Leydig cell differentiation and promotes adipocyte differentiation. In Chemosphere, 262, 127855. doi:10.1016/j.chemosphere.2020.127855. https://pubmed.ncbi.nlm.nih.gov/32799149/