HMS-CSSA Distinguished Scholar Club-Dandan Wang&Haopeng Xiao

机体的代谢活动是机体与环境之间的物质和能量交换及生物体内物质和能量的自我更新过程，使得生物体能够生长、维持稳态并对外界环境做出反应。对代谢相关原理及调控机制研究有助于理解机体的诸多生理及病理过程，对多种疾病的诊疗有重要意义。

此次研讨会有幸邀请到来自哈佛医学院的两位杰出学者：Haopeng Xiao 博士和Dandan Wang博士，与我们交流最近关于代谢调控的研究进展。Haopeng Xiao博士主要应用质谱技术，探究蛋白、代谢产物和蛋白质翻译后修饰在细胞和系统代谢中的功能。Dandan Wang博士主要通过蛋白质组学、代谢组学和脂质组学分析探究能量代谢和线粒体功能对机体健康及多种疾病的影响。欢迎大家届时参加交流！

讲座时间： Friday, June 21st, 2024 6:00 – 7:30 PM, EDT

讲座地点： Smith Building 308&309, 99 Jimmy Fund Way, Boston, 02115

报名链接： https://docs.google.com/forms/d/e/1FAIpQLScTdPAEYEcEYIvxUFBOaEzJWLlMbPRxkAU1XpTDm2NhRYhWqw/viewform

Dandan Wang，Ph.D.

Current position: 

Research Specialist

Harvard Medical School / Beth Israel Deaconess Medical Center/ Howard Hughes Medical Institute

Talk title: 

BCAA-nitrogen flux in brown fat controls metabolic health independent of thermogenesis

Biography:

Dr. Wang earned her PhD degree focusing on mass spectrometry-based proteomics, metabolomics and lipidomics in Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences. She is working with Shingo Kajimura as a research specialist at BIDMC now. Dr. Wang’s research is centered on how energy metabolism and mitochondria function influence health and diseases, like obesity, diabetes, cardiovascular diseases. She integrates metabolomics profiling, metabolic tracing and fluxes, and specific mouse models to achieve this goal. 

Highlighted publications:

1. Anthony RP Verkerke*, Dandan Wang*, Naofumi Yoshida, Zachary H Taxin, Xu Shi, Shuning Zheng, Yuka Li, Christopher Auger, Satoshi Oikawa, Jin-Seon Yook, Melia Granath-Panelo, Wentao He, Guo-Fang Zhang, Mami Matsushita, Masayuki Saito, Robert E Gerszten, Evanna L Mills, Alexander S Banks, Yasushi Ishihama, Phillip J White, Robert W McGarrah, Takeshi Yoneshiro, Shingo Kajimura. BCAA-nitrogen flux in brown fat controls metabolic health independent of thermogenesis. Cell 187, 2359–2374 (2024). *Co-first authors.

2. Dandan Wang*, Bilian Yu*, Qingrun Li*, Yanhong Guo*, Tomonari Koike, Yui Koike, Qingqing Wu, Jifeng Zhang, Ling Mao, Xiaoyu Tang, Liang Sun, Xu Lin, Jiarui Wu, Y Eugene Chen, Daoquan Peng, Rong Zeng. HDL quality features revealed by proteome‒lipidome connectivity are associated with atherosclerotic disease. J Mol Cell Biol. 14(3), mjac004 (2022). *Co-first authors.

3. Qing-Run Li*, Zi-Ming Wang*, Nicolai J. Wewer Albrechtsen*, Dan-Dan Wang*, Zhi-Duan Su, Xian-Fu Gao, Qing-Qing Wu, Hui-Ping Zhang, Li Zhu, Rong-Xia Li, SivHesse Jacobsen, Nils Bruun Jørgensen, Carsten Dirksen, Kirstine N. Bojsen-Møller, Jacob S. Petersen, Sten Madsbad, Trine R. Clausen, Børge Diderichsen, Luo-Nan Chen, Jens J. Holst, Rong Zeng, Jia-Rui Wu. Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery. EBioMedicine. 28, 234-240 (2018). *Co-first authors.

Haopeng Xiao, Ph.D.

Current position: 

Research Fellow

Dana-Farber Cancer Institute/ Harvard Medical School

Talk Title: 

New technologies to systematically uncover molecular mechanisms of metabolic control over physiology and disease

Biography: 

Haopeng earned his B.S in Pharmaceutical Sciences and B.A. in Chinese language and literature at Peking University. He then moved to Georgia Tech and obtained his Ph.D. in Chemistry. His research has focused on developing mass spectrometry (MS)-based technologies to uncover the function of proteins, metabolites, and protein post translational modifications in the context of cellular and systemic metabolism. He will continue to develop next-generation MS-based strategies, with the aid of data science, to understand mechanisms of metabolic regulation in metabolic disease and cancer, and to use this knowledge as a basis to develop translational therapeutics.

Highlighted publication:

1. Xiao HP*#, Bozi LHM*, Sun YZ*, Riley CL*, Philip VM, Chen M, Li JM, Zhang T, Mills EL, Emont MP, Sun WF, Reddy A, Garrity R, Long JN, Becher, T, Vaites LP, Laznik-Bogoslavski D, Ordonez M, Liu XY, Chen X, Wang Y, Liu WH, Tran N, Liu YT, Zhang Y, Cypess AM, White AP, He YC, Deng R, Schöder H, Paulo JA, Jedrychowski MP, Banks AS, Tseng YH, Cohen P, Tsai LT, Rosen ED, Klein S, Chondronikola M, McAllister FE, Van Bruggen N, Huttlin EL, Spiegelman BM, Churchill GA, Gygi SP, Chouchani ET#. Architecture of the Outbred Brown Fat Proteome Defines Regulators of Metabolic Physiology. Cell. 2022. 185(24), 4654-4673. *Co-first authors. #Co-corresponding authors. 

2. Xiao HP*, Jedrychowski MP*, Schweppe DK, et al. A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during aging. Cell. 2020;180(5):968-83. *Co-first authors. 

3. Xiao HP*, Chen WX*, Smeekens JM, Wu RH. An Enrichment Method Based on Synergistic and Reversible Covalent Interactions for Large-Scale Analysis of Glycoproteins. Nature Communications. 2018;9. *Co-first authors. 

4. Xiao HP, Hwang JE, Wu RH. Mass Spectrometric Analysis of the N-Glycoproteome in Statin-Treated Liver Cells with Two Lectin-Independent Chemical Enrichment Methods. International Journal of Mass Spectrometry. 2018;429:66-75.

5. Xiao HP, Wu RH. Quantitative Investigation of Human Cell Surface N-Glycoprotein Dynamics.Chemical Science. 2017;8(1):268-77.

6. Xiao HP, Wu RH. Global and Site-Specific Analysis Revealing Unexpected and Extensive Protein S-GlcNAcylation in Human Cells. Analytical Chemistry. 2017;89(6):3656-63.

7. Xiao HP, Wu RH. Simultaneous Quantitation of Glycoprotein Degradation and Synthesis Rates by Integrating Isotope Labeling, Chemical Enrichment, and Multiplexed Proteomics. Analytical Chemistry. 2017;89(19):10361-7.

8. Xiao HP, Tang GX, Wu RH. Site-Specific Quantification of Surface N-Glycoproteins in Statin-Treated Liver Cells. Analytical Chemistry. 2016;88(6):3324-32.

9. Xiao HP, Smeekens JM, Wu RH. Quantification of Tunicamycin-Induced Protein Expression and N-Glycosylation Changes in Yeast. Analyst. 2016;141(12):3737-45.

10. Xiao HP, Chen WX, Tang GX, et al. Systematic Investigation of Cellular Response and Pleiotropic Effects in Atorvastatin-Treated Liver Cells by MS-Based Proteomics. Journal of Proteome Research. 2015;14(3):1600-11.