1. Turton, Keren B, Wilkerson, Emily M, Hebert, Alex S, Coon, Joshua J, Mosher, Deane F. 2018. Expression of novel "LOCGEF" isoforms of ARHGEF18 in eosinophils. In Journal of leukocyte biology, 104, 135-145. doi:10.1002/JLB.2MA1017-418RR. https://pubmed.ncbi.nlm.nih.gov/29601110/
2. Beal, Robert, Alonso-Carriazo Fernandez, Ana, Grammatopoulos, Dimitris K, Matter, Karl, Balda, Maria S. 2021. ARHGEF18/p114RhoGEF Coordinates PKA/CREB Signaling and Actomyosin Remodeling to Promote Trophoblast Cell-Cell Fusion During Placenta Morphogenesis. In Frontiers in cell and developmental biology, 9, 658006. doi:10.3389/fcell.2021.658006. https://pubmed.ncbi.nlm.nih.gov/33842485/
3. Shi, Fengjuan, Deng, Tongning, Mo, Jian, Wang, Huiru, Lu, Jianxun. 2021. An Immune-Related Gene-Based Signature as Prognostic Tool in Ovarian Serous Cystadenocarcinoma. In International journal of general medicine, 14, 4095-4104. doi:10.2147/IJGM.S313791. https://pubmed.ncbi.nlm.nih.gov/34354370/
4. Arno, Gavin, Carss, Keren J, Hull, Sarah, Balda, Maria S, Webster, Andrew R. 2017. Biallelic Mutation of ARHGEF18, Involved in the Determination of Epithelial Apicobasal Polarity, Causes Adult-Onset Retinal Degeneration. In American journal of human genetics, 100, 334-342. doi:10.1016/j.ajhg.2016.12.014. https://pubmed.ncbi.nlm.nih.gov/28132693/
5. Li, Ding, Sun, Yan, Kong, Xiaochao, Chen, Feng, Chen, Peng. 2018. Association between a Single Nucleotide Polymorphism in the 3'-UTR of ARHGEF18 and the Risk of Nonidiopathic Pulmonary Arterial Hypertension in Chinese Population. In Disease markers, 2018, 2461845. doi:10.1155/2018/2461845. https://pubmed.ncbi.nlm.nih.gov/30405854/
6. Trezise, Stephanie, Kong, Isabella Y, Hawkins, Edwin D, Willis, Simon N, Nutt, Stephen L. 2023. An arrayed CRISPR screen of primary B cells reveals the essential elements of the antibody secretion pathway. In Frontiers in immunology, 14, 1089243. doi:10.3389/fimmu.2023.1089243. https://pubmed.ncbi.nlm.nih.gov/36860866/
7. Zhang, Fei, Ding, Yicen, Zhang, Bohan, Lu, Chunbo, Kang, Yani. 2023. Analysis of Methylome, Transcriptome, and Lipid Metabolites to Understand the Molecular Abnormalities in Polycystic Ovary Syndrome. In Diabetes, metabolic syndrome and obesity : targets and therapy, 16, 2745-2763. doi:10.2147/DMSO.S421947. https://pubmed.ncbi.nlm.nih.gov/37720421/
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