1. Yu, Xin, Xu, Chao, Zou, Yiping, Xie, Yongjie, Wu, Chao. 2024. A prognostic metabolism-related gene signature associated with the tumor immune microenvironment in neuroblastoma. In American journal of cancer research, 14, 253-273. doi:. https://pubmed.ncbi.nlm.nih.gov/38323276/
2. Lu, Zheming, Zhang, Yujie, Feng, Dongdong, Yang, Wenjun, Liu, Baoguo. . Targeted next generation sequencing identifies somatic mutations and gene fusions in papillary thyroid carcinoma. In Oncotarget, 8, 45784-45792. doi:10.18632/oncotarget.17412. https://pubmed.ncbi.nlm.nih.gov/28507274/
3. Abdul Aziz, Nurul Ainin, Mokhtar, Norfilza M, Harun, Roslan, Wan Ngah, Wan Zurinah, Jamal, Rahman. 2016. A 19-Gene expression signature as a predictor of survival in colorectal cancer. In BMC medical genomics, 9, 58. doi:10.1186/s12920-016-0218-1. https://pubmed.ncbi.nlm.nih.gov/27609023/
4. Dorr, Casey, Wu, Baolin, Guan, Weihua, Oetting, William S, Israni, Ajay K. 2015. Differentially expressed gene transcripts using RNA sequencing from the blood of immunosuppressed kidney allograft recipients. In PloS one, 10, e0125045. doi:10.1371/journal.pone.0125045. https://pubmed.ncbi.nlm.nih.gov/25946140/
5. Tian, Kunpeng, Ying, Yongling, Huang, Jingjing, Chen, Longjun, Wu, Lichuan. 2023. The expression, immune infiltration, prognosis, and experimental validation of OSBPL family genes in liver cancer. In BMC cancer, 23, 244. doi:10.1186/s12885-023-10713-9. https://pubmed.ncbi.nlm.nih.gov/36918840/
6. Ishikawa, Kosuke, Kobayashi, Yuta, Wakabayashi, Yutaro, Watanabe, Shinya, Semba, Kentaro. 2018. A highly sensitive trap vector system for isolating reporter cells and identification of responsive genes. In Biology methods & protocols, 3, bpy003. doi:10.1093/biomethods/bpy003. https://pubmed.ncbi.nlm.nih.gov/32161797/
7. Hacker, Benedikt, Schultheiß, Christoph, Döring, Michael, Kurzik-Dumke, Ursula. . Molecular partners of hNOT/ALG3, the human counterpart of the Drosophila NOT and yeast ALG3 gene, suggest its involvement in distinct cellular processes relevant to congenital disorders of glycosylation, cancer, neurodegeneration and a variety of further pathologies. In Human molecular genetics, 27, 1858-1878. doi:10.1093/hmg/ddy087. https://pubmed.ncbi.nlm.nih.gov/29547901/
8. Aguayo-Orozco, Alejandro, Bois, Frederic Yves, Brunak, Søren, Taboureau, Olivier. 2018. Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity. In Frontiers in genetics, 9, 396. doi:10.3389/fgene.2018.00396. https://pubmed.ncbi.nlm.nih.gov/30279702/
9. Sun, Zhuolun, Jing, Changying, Zhan, Hailun, Wang, Hanbo, Jiang, Shaobo. 2023. Identification of tumor antigens and immune landscapes for bladder urothelial carcinoma mRNA vaccine. In Frontiers in immunology, 14, 1097472. doi:10.3389/fimmu.2023.1097472. https://pubmed.ncbi.nlm.nih.gov/36761744/
10. Perttilä, Julia, Merikanto, Krista, Naukkarinen, Jussi, Peltonen, Leena, Olkkonen, Vesa M. 2009. OSBPL10, a novel candidate gene for high triglyceride trait in dyslipidemic Finnish subjects, regulates cellular lipid metabolism. In Journal of molecular medicine (Berlin, Germany), 87, 825-35. doi:10.1007/s00109-009-0490-z. https://pubmed.ncbi.nlm.nih.gov/19554302/