1. Goh, Denise L M, Patel, Ankita, Thomas, George H, Jakobs, Cornelis, Geraghty, Michael T. . Characterization of the human gene encoding alpha-aminoadipate aminotransferase (AADAT). In Molecular genetics and metabolism, 76, 172-80. doi:. https://pubmed.ncbi.nlm.nih.gov/12126930/
2. Teumer, Alexander, Chaker, Layal, Groeneweg, Stefan, Visser, Theo J, Medici, Marco. 2018. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. In Nature communications, 9, 4455. doi:10.1038/s41467-018-06356-1. https://pubmed.ncbi.nlm.nih.gov/30367059/
3. Chen, Bo, Xie, Kang, Zhang, Jianzhong, Zhang, Liyang, Peng, Renjun. 2023. Comprehensive analysis of mitochondrial dysfunction and necroptosis in intracranial aneurysms from the perspective of predictive, preventative, and personalized medicine. In Apoptosis : an international journal on programmed cell death, 28, 1452-1468. doi:10.1007/s10495-023-01865-x. https://pubmed.ncbi.nlm.nih.gov/37410216/
4. de Souza, Fladjule Rejane Soares, Fontes, Fabrícia Lima, da Silva, Thayse Azevedo, Leib, Stephen L, Agnez-Lima, Lucymara Fassarella. 2011. Association of kynurenine aminotransferase II gene C401T polymorphism with immune response in patients with meningitis. In BMC medical genetics, 12, 51. doi:10.1186/1471-2350-12-51. https://pubmed.ncbi.nlm.nih.gov/21473761/
5. Wigner, Paulina, Czarny, Piotr, Synowiec, Ewelina, Szemraj, Janusz, Sliwinski, Tomasz. 2018. Variation of genes encoding KAT1, AADAT and IDO1 as a potential risk of depression development. In European psychiatry : the journal of the Association of European Psychiatrists, 52, 95-103. doi:10.1016/j.eurpsy.2018.05.001. https://pubmed.ncbi.nlm.nih.gov/29777939/
6. Hsu, Chia-Chi, Yang, Albert Ying-Po, Chen, Jui-Yi, Lin, Anya Maan-Yuh, Yang, James Chih-Hsin. 2021. Lysine Deprivation Induces AKT-AADAT Signaling and Overcomes EGFR-TKIs Resistance in EGFR-Mutant Non-Small Cell Lung Cancer Cells. In Cancers, 13, . doi:10.3390/cancers13020272. https://pubmed.ncbi.nlm.nih.gov/33450879/
7. Lv, Jia-Hao, Hou, A-Jiao, Zhang, Shi-Hao, Yang, Liu, Jiang, Hai. . WGCNA combined with machine learning to find potential biomarkers of liver cancer. In Medicine, 102, e36536. doi:10.1097/MD.0000000000036536. https://pubmed.ncbi.nlm.nih.gov/38115320/
8. Wang, Zhengning, Xu, Yuhang, Peng, Dawei, Gao, Jingjing, Lu, Fengmei. . Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression. In Cerebral cortex (New York, N.Y. : 1991), 33, 6407-6419. doi:10.1093/cercor/bhac513. https://pubmed.ncbi.nlm.nih.gov/36587290/