青年研究员

邮箱：guanlin_wang@fudan.edu.cn

办公地址：上海市杨浦区湾谷科技园2期D3座1303室

个人简介

2022年3月至今，复旦大学代谢与整合生物学研究院，青年研究员

2021年1月至2022年2月，牛津大学Wolfson学院, Junior Research Fellow

2019年1月至2022年2月，牛津大学MRC Weatherall Institute of Molecular Medicine, 博士后 （合作导师：Adam Mead教授）

2012年9月至2018年6月，中国科学院遗传与发育生物学研究所，理学博士（导师：John Speakman院士）

主要研究方向

实验室网站：https://guanlinw.github.io/lab/

本课题组通过融合计算生物学、人工智能（AI）与前沿多组学技术（单细胞/空间转录组、基因组等），聚焦于复杂生物系统的代谢特征解析。具体包括：

1) 多尺度代谢特征解析与疾病靶点发现：基于单细胞等多组学数据，识别并解码生理及病理（如肥胖与癌症的发生发展）过程中的代谢重塑特征；结合体外功能验证，深入解析运动干预调控肥胖等代谢过程的潜在机制。

2) 虚拟细胞与数字器官的构建：融合单细胞多组学、空间转录组数据与AI算法，从细胞层面构建高精度的虚拟细胞模型，并在此基础上构建系统级的数字器官，以实现对复杂生物和代谢过程的高效模拟与预测。

3) 数字代谢计算框架与精准分型：构建全方位的数字代谢计算框架以及分析智能体，为肥胖等复杂代谢性疾病的精准分型、早期干预及个性化治疗提供强大的底层数据与计算支撑。

招贤纳士：课题组招收有科研理想、对计算生物学及AI交叉方向充满热忱的科研助理、研究生及博士后。

荣誉及获奖情况

• 2021 Oxford Centre for Hematology Pump Priming Award, 牛津大学

• 2021 Medical Sciences Pump Priming Fund, 牛津大学

• 2021 Academic fund, 牛津大学，Wolfson学院

• 2020 BRC Training Grant, 牛津大学

• 2017 中国科学院院长奖

• 2016 国家奖学金

• 2016 New Investigator Award finalist fellowship, International Congress for Obesity (ICO) and World Obesity Federation

代表性成果

（实验室成员，#共同第一作者，* 通讯作者）

1.Dong P, Ding S, Wang G*. Optimized upstream analytical workflow for single-nucleus transcriptomics in main metabolic tissues. Life Metabolism. 2025, loaf010. https://doi.org/10.1093/lifemeta/loaf010. Epub 2025 April 2.

2.Li R#, Colombo M#, Wang G#,*, Rodriguez-Romera A, Benlabiod C, Jooss NJ, O'Sullivan J, Brierley CK, Clark SA, Pérez Sáez JM, Fernández PA, Schoof EM, Porse B, Meng Y, Khan AO, Wen S, Dong P, Zhou W, Sousos N, Murphy L, Clarke M, Olijnik AA, Wong ZC, Karali CS, Sirinukunwattana K, Ryou H, Norfo R, Cheng Q, Carrelha J, Ren Z, Thongjuea S, Rathinam VA, Krishnan A, Royston D, Rabinovich GA, Mead AJ*, Psaila B*. A proinflammatory stem cell niche drives myelofibrosis through a targetable galectin-1 axis. Science Translational Medicine. 2024 Oct 9;16(768): eadj7552.

3.Huang Y#, Wang A#, Zhou W, Li B, Zhang L, Rudolf AM, Jin Z, Hambly C, Wang G*, Speakman JR*. Maternal dietary fat during lactation shapes single nucleus transcriptomic profile of postnatal offspring hypothalamus in a sexually dimorphic manner in mice. Nature Communications, 2024 Mar 16;15(1):2382.

4.Bao Y, Wang G*, Li H*. Approaches for studying human macrophages. Trends in Immunology, 2024 Apr;45(4):237-247.

5.Wang Z#, Wu Z#, Wang H#, Feng R#, Wang G#,*, Li M#, Wang S-Y#, Chen X#, Su Y, Wang J, Zhang W, Bao Y, Lan Z, Song Z, Wang Y, Luo X, Zhao L, Hou A, Tian S, Gao H, Miao W, Liu Y, Wang H, Yin C, Ji Z-L, Feng M, Liu H, Diao L, Amit I, Chen Y, Zeng Y, Ginhoux F*, Wu X*, Zhu Y*, Li H*. An immune cell atlas reveals the dynamics of human macrophage specification during prenatal development. Cell, 2023/9/28, 186(20), 4454-4471. e19. (Faculty Opinions recommended)

-Highlight by Cell Research, Science Immunology, Trends in Immunology, Cellular & Molecular Immunology等

-入选《科技日报》2023年国内十大科技新闻http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2023-12/26/content_564676.htm?div=-1

博士、博后期间：

1.Wang G, Speakman JR*. Analysis of positive selection at single nucleotide polymorphisms associated with body mass index does not support the “thrifty gene” hypothesis. Cell Metabolism, 2016, 24(4), 531-541. (F1000 Prime recommended)

2.Psaila B#,*, Wang G#, Rodriguez-Meira A, Li R, Heuston EF, Murphy L, Yee D, Hitchcock I, Sousos N, O'Sullivan J, Anderson S, Senis Y, Weinberg O, Calicchio M, NIH Intramural Sequencing Center, Iskander D, Royston D, Milojkovic D, Roberts I, Bodine D, Thongjuea S *, Mead A*. Single-cell analyses reveal megakaryocyte-biased hematopoiesis in myelofibrosis and identify mutant clone-specific targets. Molecular Cell, 2020, 78(3), 477-492. (#co-first author) (Faculty Opinions recommended)

3.Roy A#, *, Wang G#, Iskander D, O'Byrne S, Elliott N, O'Sullivan J, Buck G, Heuston EF, Wen WX, Rodriguez-Meira A, Hua P, Karadimitris A, Mead A, Bodine D, Roberts I, Psaila B*, Thongjuea S*. Transitions in lineage specification and gene regulatory networks in hematopoietic stem/progenitor cells over human development. Cell Reports, 2021, 36(11), 109698. (#co-first author)

4.Wang G, Wen WX, Mead AJ, Roy A, Psaila B, Thongjuea S*. Processing single-cell RNA-seq datasets using SingCellaR. STAR Protoc. 2022 Apr 1;3(2):101266. doi: 10.1016/j.xpro.2022.101266.

5.Wang G, Li B, Zhang X, Niu C, Li J, Li L, Speakman JR*. No seasonal variation in physical activity of Han Chinese living in Beijing. International Journal of Behavioral Nutrition and Physical Activity, 2017, 14(1), 48. 

6.Wang G, Ekeleme-Egedigwe CA, El Hamdouchi A, Sauciuvenaite J, Bissland R, Djafarian K, Ojiambo R, Ramuth H, Holasek S, Lackner S, Diouf A, Hambly C, Vaanholt LM, Cao M, Hacker M, Kruger HS, Seru T, Faries MD, Speakman JR*. Beauty and the Body of the Beholder: Raters' BMI Has Only Limited Association with Ratings of Attractiveness of the Opposite Sex. Obesity (Silver Spring). 2018 Mar;26(3):522-530.

7.Lin X*, Wang G. Development of a RNAi-based release of insects carrying a dominant lethal (RIDL) system in Drosophila melanogaster. Science Bulletin, 2015, 60(3), 356-362.