吴姣
主要研究方向为基于微纳芯片材料的代谢组/蛋白组检测及其临床应用,单细胞代谢组分析及重编程。以第一作者/通讯作者在Cell Metabolism,Advanced Functional Materials,Advanced Science,Materials Today Bio等期刊发表论文,申请发明专利7项,2项已授权。主持或参与科技部重大专项、国自然青年基金/企业创新发展联合基金、上海市自然科学基金、医工交叉等项目,荣获中华医学科技奖青年科技奖等。
2024-至今 英国威廉希尔公司官网 英国威廉希尔公司官网/医疗机器人研究院
微纳质谱芯片,代谢组/蛋白组检测及应用,单细胞组学,代谢重编程
1. J. Zhang*, S. Gu*, Y. Li, Q. Fan, J. Yuan, D. Cao, X. Lu, J. Wang, T. Ni, W. Liu, Y. Huang, S. Yang, R. Wang, Y. Li, Y. Yang, Y. Liu, J. Wu#, K. Qian#, Y. Wang#. Efficient serum metabolic fingerprints for ectopic pregnancy diagnosis and rupture risk (2026). Small Methods, 10, e01741.
2. B. Wang, R. Wang, W. Shao, B. Pan, X. Ding, J. Zhang, Y. Yang, Y. Shi#, J. Wu#, W. Guo#. Serum and urine metabolic fingerprints enable diagnosis and prognosis for IgA nephropathy (2025). Materials Today Bio, 35, 102428.
3. J. Cao*, Q. Yao*, J. Wu*, X. Chen, L. Huang, W. Liu, K. Qian#, J. Wan#, B. Zhou#. Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution (2024). Cell Metabolism, 36, 209.
4. J. Wu*, Y. Wei*, C. Shi*, Y. Huang, Z. Hong, W. Liu, L. Gu, R. Wang, Y. Li, J. Cao, W. Di, X. Hou#, J. Liu#, K. Qian#, L. Qiu#. Thermally engineered ferric yolk-shells for vaginal secretion based cervical cancer screening (2024). Advanced Functional Materials, 0, 2312380.
5. H. Su*, H. Zhang*, J. Wu*, L. Huang, M. Zhang, W. Xu, J. Cao, J. Yang, W. Liu, H. Jiang#, X. Gu#, K. Qian#. Fast label-free metabolic profile recognition identifies phenylketonuria and subtypes (2024). Advanced Science, 0, 2305701.
6. J. Wu*, C. Liang*, X. Wang*, Y. Huang, W. Liu, R. Wang, J. Cao, X. Su, T. Yin, X. Wang, Z. Zhang, L. Shen, D. Li, W. Zou, J. Wu, L. Qiu, W. Di, Y. Cao#, D. Ji#, K. Qian#. Efficient metabolic fingerprinting of follicular fluid encodes ovarian reserve and fertility (2023). Advanced Science, 10, 2302023.
7. J. Wu*, M. Xu*, W. Liu, Y. Huang, R. Wang, W. Chen, L. Feng, N. Liu, X. Sun#, M. Zhou#, K. Qian#. Glaucoma characterization by machine learning of tear metabolic fingerprinting (2022). Small Methods, 6, 2200264.
邮箱地址:jiaowu@sjtu.edu.cn
办公地址:闵行校区转化医学大楼 E254