Updated on 20241008
#, First or co-first. *, Correspondence or co-correspondence.
Ctrl+F and type in “Liang, X.” to highlight.

Published
  1. Wang, J.#, Liang, X.#, Zheng, Y.#, Zhu, Y.#, Zhou, K.#, Wu, X.#, Sun, R., Hu, Y., Zhu, X., Chi, H., Chen, S., Lyu, M., Xie, Y., Yi, X., Liu, W., Cai, X., Li, S., Zhang, Q., Wu, C., Shi, Y., Wang, D., Peng, M., Zhang, Y., Liu, H., Zhang, C., Quan, S., Kong, Z., Kang, Z., Zhu, G., Zhu, H., Chen, S., Liang, J., Yang, H., Pang, J., Fang, Y., Chen, H., Li, J.*, Xu, J.*, Guo, T.*, & Shen, B.* (2024). Pulmonary and Renal Long COVID at Two-year Revisit. iScience, 110344. doi:10.1016/j.isci.2024.110344
  2. Gao, X.#, Sun, R.#, Jiao, N.#, Liang, X.#, Li, G., Gao, H., Wu, X., Yang M., Chen, C., Chen, L., Wu, W., Zhu, R.*, Guo, T.*, & Liu, Z.* (2023). Integrative multi-omics deciphers the spatial characteristics of host-gut microbiota interactions in Crohn’s disease. Cell Reports Medicine, 101050. doi:10.1016/j.xcrm.2023.101050
  3. Liang, X.#*, Wang, Y., & Guo, T. (2023). Proteomics approaches to long COVID: current status and outlooks. Life Medicine, lnad023. doi:10.1093/lifemedi/lnad023.
  4. Zhou, Y.#, Sun, R., Li, S., Liang, X., Qian, L., Yue, L., & Guo, T.* (2023). High-Throughput and In-Depth Proteomic Profiling of 5 μL Plasma and Serum Using TMTpro 16-Plex. Methods Mol Biol, 2628, 81-92. doi:10.1007/978-1-0716-2978-9_6
  5. Liang, X.#, Sun, R., Wang, J., Zhou, K., Li, J., Chen, S., Lyu, M., Li, S., Xue, Z., Shi, Y., Xie, Y., Zhang, Q., Yi, X., Pan, J., Wang, D., Xu, J., Zhu, H., Zhu, G., Zhu, J., Zhu, Y., Zheng, Y.*, Shen, B.*, & Guo, T.* (2023). Proteomics Investigation of Diverse Serological Patterns in COVID-19. Molecular & Cellular Proteomics, 100493. doi:10.1016/j.mcpro.2023.100493
  6. Bao, J.#, Liu, S.#, Liang, X.#, Wang, C., Cao, L., Li, Z., Wei, F., Fu, A., Shi, Y., Shen, B., Zhu, X., Zhao, Y., Liu, H., Miao, L., Wang, Y., Liang, S., Wu, L., Huang, J.*, Guo, T.*, & Liu, F.* (2023). A prediction model for COVID-19 liver dysfunction in patients with normal hepatic biochemical parameters. Life Science Alliance, 6(1). doi:10.26508/lsa.202201576
  7. Bao, J.#, Sun, R.#, Ai, J.#, Qian, L., Liu, F., Wang, H., Tan, L., Cai, X., Shi, Y., Liang, X., Ge, W., Wu, J., Chen, C., Zhang, W.*, Huang, J.*, & Guo, T.* (2022). Proteomic characterization of Omicron SARS-CoV-2 host response. Cell Discovery, 8(1), 46. doi:10.1038/s41421-022-00418-x
  8. Tang, X.#, Sun, R.#, Ge, W.#, Mao, T.#, Qian, L.#, Huang, C., Kang, Z., Xiao, Q., Luo, M., Zhang, Q., Li, S., Chen, H., Liu, W., Wang, B., Li, S., Lin, X., Xu, X., Li, H., Wu, L., Dai, J., Gao, H., Li, L., Lu, T., Liang, X., Cai, X., Ruan, G., Xu, F., Li, Y., Zhu, Y.*, Kong, Z.*, Huang, J.*, & Guo, T.* (2022). Enhanced inflammation and suppressed adaptive immunity in COVID-19 with prolonged RNA shedding. Cell Discovery, 8(1), 70. doi:10.1038/s41421-022-00441-y
  9. Ge, W.#, Liang, X.#, Zhang, F.#, Hu, Y.#, Xu, L., Xiang, N., Sun, R., Liu, W., Xue, Z., Yi, X., Sun, Y., Wang, B., Zhu, J., Lu, C., Zhan, X., Chen, L., Wu, Y., Zheng, Z., Gong, W., Wu, Q., Yu, J., Ye, Z., Teng, X., Huang, S., Zheng, S., Liu, T.*, Yuan, C.*, & Guo, T.* (2021). Computational Optimization of Spectral Library Size Improves DIA-MS Proteome Coverage and Applications to 15 Tumors. Journal of Proteome Research, 20(12), 5392-5401. doi:10.1021/acs.jproteome.1c00640
  10. Yan, H.#, Liang, X.#, Du, J.#, He, Z.#, Wang, Y., Lyu, M., Yue, L., Zhang, F., Xue, Z., Xu, L., Ruan, G., Li, J., Zhu, H., Xu, J., Chen, S., Zhang, C., Lv, D., Lin, Z., Shen, B., Zhu, Y.*, Qian, B.*, Chen, H.*, & Guo, T.* (2021). Proteomic and metabolomic investigation of serum lactate dehydrogenase elevation in COVID-19 patients. Proteomics, 21(15), e2100002. doi:10.1002/pmic.202100002
  11. Shen, B.#, Yi, X.#, Sun, Y.#, Bi, X.#, Du, J.#, Zhang, C.#, Quan, S., Zhang, F., Sun, R., Qian, L., Ge, W., Liu, W., Liang, S., Chen, H., Zhang, Y., Li, J., Xu, J., He, Z., Chen, B., Wang, J., Yan, H., Zheng, Y., Wang, D., Zhu, J., Kong, Z., Kang, Z., Liang, X., Ding, X., Ruan, G., Xiang, N., Cai, X., Gao, H., Li, L., Li, S., Xiao, Q., Lu, T., Zhu, Y.*, Liu, H.*, Chen, H.*, & Guo, T.* (2020). Proteomic and Metabolomic Characterization of COVID-19 Patient Sera. Cell, 182(1), 59-72.e15. doi:10.1016/j.cell.2020.05.032
  12. Zhu, T.#, Zhu, Y.#, Xuan, Y., Gao, H., Cai, X., Piersma, S. R., Pham, T. V., Schelfhorst, T., Haas, R., Bijnsdorp, I. V., Sun, R., Yue, L., Ruan, G., Zhang, Q., Hu, M., Zhou, Y., Van Houdt, W. J., Le Large, T. Y. S., Cloos, J., Wojtuszkiewicz, A., Koppers-Lalic, D., Böttger, F., Scheepbouwer, C., Brakenhoff, R. H., van Leenders, G., Ijzermans, J. N. M., Martens, J. W. M., Steenbergen, R. D. M., Grieken, N. C., Selvarajan, S., Mantoo, S., Lee, S. S., Yeow, S. J. Y., Alkaff, S. M. F., Xiang, N., Sun, Y., Yi, X., Dai, S., Liu, W., Lu, T., Wu, Z., Liang, X., Wang, M., Shao, Y., Zheng, X., Xu, K., Yang, Q., Meng, Y., Lu, C., Zhu, J., Zheng, J., Wang, B., Lou, S., Dai, Y., Xu, C., Yu, C., Ying, H., Lim, T. K., Wu, J., Gao, X., Luan, Z., Teng, X., Wu, P., Huang, S., Tao, Z., Iyer, N. G., Zhou, S., Shao, W., Lam, H., Ma, D., Ji, J., Kon, O. L., Zheng, S., Aebersold, R., Jimenez, C. R., & Guo, T.* (2020). DPHL: A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery. Genomics Proteomics Bioinformatics, 18(2), 104-119. doi:10.1016/j.gpb.2019.11.008
In revision
  1. Xu, L.#, Liang, X.#, Zhen, W.#, Xue, Z., Zhang, F., Yi, X., Chen, X., Hu, L., Li, B., Zhang, B., Deng, Z., Yang, W., Wen, H., Guo, T.*, Zhu, Y.*, & Yang, F.* (2022). A common mechanism of temperature-sensing in thermoTRP channels. BioRxiv
Acknowledged
  1. Technical support in proteomics. Cpt1a Drives primed-to-naïve pluripotency transition through lipid remodeling. Communications Biology, 7(1), 1223. doi: 10.1038/s42003-024-06874-3