1. Huang, Wanjing, Xu, Qiang, Su, Jing, Liu, Yizhi, Liu, Sheng. . Linking transcriptomes with morphological and functional phenotypes in mammalian retinal ganglion cells. In Cell reports, 40, 111322. doi:10.1016/j.celrep.2022.111322. https://pubmed.ncbi.nlm.nih.gov/36103830/
2. Coltell, Oscar, Ortega-Azorín, Carolina, Sorlí, Jose V, Estruch, Ramon, Corella, Dolores. 2021. Circulating Adiponectin and Its Association with Metabolic Traits and Type 2 Diabetes: Gene-Diet Interactions Focusing on Selected Gene Variants and at the Genome-Wide Level in High-Cardiovascular Risk Mediterranean Subjects. In Nutrients, 13, . doi:10.3390/nu13020541. https://pubmed.ncbi.nlm.nih.gov/33562295/
3. Gao, Zhi-Jie, Fang, Zhou, Yuan, Jing-Ping, Sun, Sheng-Rong, Li, Bei. 2023. Integrative multi-omics analyses unravel the immunological implication and prognostic significance of CXCL12 in breast cancer. In Frontiers in immunology, 14, 1188351. doi:10.3389/fimmu.2023.1188351. https://pubmed.ncbi.nlm.nih.gov/37564657/
4. Zhang, Yiran, Ma, Liang. . Identification of key genes and pathways in calcific aortic valve disease by bioinformatics analysis. In Journal of thoracic disease, 11, 5417-5426. doi:10.21037/jtd.2019.11.57. https://pubmed.ncbi.nlm.nih.gov/32030260/
5. Rodríguez-Alonso, Beatriz, Hamdi, Meriem, Sánchez, José María, Lonergan, Pat, Rizos, Dimitrios. 2019. An approach to study the local embryo effect on gene expression in the bovine oviduct epithelium in vivo. In Reproduction in domestic animals = Zuchthygiene, 54, 1516-1523. doi:10.1111/rda.13558. https://pubmed.ncbi.nlm.nih.gov/31472078/
6. Guo, Duojian, Zhou, Yu, Wei, Xingwei, He, Ping, Ding, Yipeng. 2021. Preliminary study of genome-wide association identifies novel susceptibility genes for serum mineral elements in the Chinese Han population. In Biological trace element research, 200, 2549-2555. doi:10.1007/s12011-021-02854-4. https://pubmed.ncbi.nlm.nih.gov/34417961/
7. Ma, Shaoyang, Tong, Chao, Ibeagha-Awemu, Eveline M, Zhao, Xin. 2019. Identification and characterization of differentially expressed exosomal microRNAs in bovine milk infected with Staphylococcus aureus. In BMC genomics, 20, 934. doi:10.1186/s12864-019-6338-1. https://pubmed.ncbi.nlm.nih.gov/31805863/
8. Chang, Suhua, Fang, Kechi, Zhang, Kunlin, Wang, Jing. 2015. Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. In PloS one, 10, e0133404. doi:10.1371/journal.pone.0133404. https://pubmed.ncbi.nlm.nih.gov/26193471/
9. Zhou, Bingru, Liu, Fengye, Wan, Ying, Ma, Wenzhe, Dai, Rongyang. 2025. Construction of a prognostic risk model for clear cell renal cell carcinomas based on centrosome amplification-related genes. In Molecular genetics and genomics : MGG, 300, 30. doi:10.1007/s00438-025-02237-7. https://pubmed.ncbi.nlm.nih.gov/40075035/
10. Rushing, Blake R. 2023. Multi-Omics Analysis of NCI-60 Cell Line Data Reveals Novel Metabolic Processes Linked with Resistance to Alkylating Anti-Cancer Agents. In International journal of molecular sciences, 24, . doi:10.3390/ijms241713242. https://pubmed.ncbi.nlm.nih.gov/37686047/