超级皇冠网分布图-皇冠网hg9388.com_百家乐统计工具_全讯网帝国cms网站源 (中国)·官方网站

師資

EN       返回上一級       師資搜索
TAN SOON HENG
研究員
副教授
0755-88018080
christan@sustech.edu.cn

新加坡國立大學(xué)分子生物學(xué)專業(yè)學(xué)士(2001)和計(jì)算機(jī)專業(yè)碩士(2005),并在加拿大多倫多大學(xué)獲得博士(2011)學(xué)位,師從國際著名的細(xì)胞-細(xì)胞通訊和信號轉(zhuǎn)導(dǎo)專家Tony Pawson院士。在博士攻讀期間,致力于研究復(fù)雜生物系統(tǒng)和人類疾病的信號轉(zhuǎn)導(dǎo),并在該領(lǐng)域做出了重要的貢獻(xiàn)(Tan et al. Science 2009; Tan et al. Science Signaling 2009, Tan et al. Nature Method 2012)。之后,在奧地利維也納的分子醫(yī)學(xué)中心(CeMM)參予發(fā)展了基于細(xì)胞熱變換(CETSA-質(zhì)譜聯(lián)用技術(shù)的藥物靶標(biāo)解析技術(shù)(Huber et al., Nature Method 2015,開創(chuàng)了藥物靶標(biāo)解析方法的新領(lǐng)域。2015年,應(yīng)CETSA技術(shù)發(fā)明人P?r Nordlund教授的邀請,加入了新加坡科技研究局分子與細(xì)胞生物學(xué)研究所(IMCB, A*STAR),并發(fā)明了可以直接從完整細(xì)胞和組織中實(shí)時監(jiān)測蛋白質(zhì)復(fù)合物動態(tài)變化的系統(tǒng)技術(shù),該工作于2018年發(fā)表于Science雜志 (Tan et al. Science 2018)。目前為止,他已經(jīng)在國際期刊和會議上發(fā)表了30多篇文章,包括在Science, Nature Methods, Science Signaling Bioinformatics 第一或通訊作者的文章,H-index21。其工作受到了Science, Nature Genetics Review, Nature Methods, F1000Prime, Science Signaling, ACS Chemical Biology Cell Systems等雜志的高度評價。目前Tan教授擔(dān)任Science, Nature Biotechnology, Nature Communication, Bioinformatics等高水平雜志的審稿人。

 

榮譽(yù)獎勵:

2016年 新加坡科技研究局青年研究獎

2010多倫多大學(xué)最佳博士科研獎Jennifer Dorrington獎)

1999年 新加坡國立大學(xué)理學(xué)院院長名單獎

 

近年資助:

2018.05-2021.04,新加坡Industry Alignment FundToxicity Mode-of-Action Discovery (ToxMAD) Platform

2018.02-2019.01, 新加坡A*STAR-EDB Industry Alignment FundStudy the Modes-of-Action (MoA) of Phthalates and Diketones using Toxicity MoA Discovery (ToxMAD) platform

2016.05- 2019.04, 新加坡A*STAR Young Investigator AwardThermal Proximity-based Co-Aggregation for System-level Monitoring of Protein Complexes in Primary and Non-engineered Cells

 

代表性論文:

1. Z. Zheng, Y. Zeng, K. Lai,  B. Liao,  P. Li, &  C. S. H. Tan#(2023). Cellular protein painting for structural and binding sites analysis via lysine reactivity profiling with o-phthalaldehyde. bioRxiv, 2023-09.

2. Ji. H*, X. Lu*, S.Zhao, Q. Wang, B. Liao, L. G. Bauer, K. V. M. Huber, R. Luo, R. Tian and C. S. H. Tan# (2023). "Target deconvolution with matrix-augmented pooling strategy reveals cell-specific drug-protein interactions." Cell Chemical Biology.

3. Lu. X, B. Liao, S. Sun, Y. Mao, Q. Wu, R. Tian# and C. S. H. Tan#(2023). "Scaled-Down Thermal Profiling and Coaggregation Analysis of the Proteome for Drug Target and Protein Interaction Analysis." Analytical Chemistry.

4. Qiong. W, Jiangnan. Z, Xintong. S, Changying. F, Xiaozhen. C, Bin. L, Hongchao. J, Yang. L, An. H, Xue. L,  Chris Soon Heng. T# and Ruijun. T#(2023). "Fully automated and integrated proteomics sample preparation platform for high-throughput drug target identification." bioRxiv: 2023.2002.2013.528386.

5. Siyuan. S, Zhenxiang. Z, Jun. W, Fengming. L, An. H, Ruijun. T and Chris Soon Heng. T# (2023). "Improved in situ Characterization of Proteome-wide Protein Complex Dynamics with Thermal Proximity Co-Aggregation."  Nat Commun 14, 7697 (2023). https://doi.org/10.1038/s41467-023-43526-2

6. Y. Zhan, J. Liu, M. Wu, C. S. H. Tan, X. Li and L. Ou-Yang# (2023). "A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks." Computers in Biology and Medicine 159: 106936.

7. Q. Zhu, J. Song, J.-Y. Chen, Z. Yuan, L. Liu, L.-M. Xie, Q. Liao, R. D. Ye, X. Chen, Y. Yan, J. Tan, C. S. Heng Tan, M. Li and J.-H. Lu# (2023). "Corynoxine B targets at HMGB1/2 to enhance autophagy for α-synuclein clearance in fly and rodent models of Parkinson's disease." Acta Pharmaceutica Sinica B 13(6): 2701-2714.

8. S. Zhang, Y. Dong, X. Chen, C.S.H Tan, M. Li, K. Miao, J. Lu# (2022) Toosendanin, a late-stage autophagy inhibitor, sensitizes triple-negative breast cancer to irinotecan chemotherapy Chinese Medicine, 17(1), 55.

9. H. Ji, X. Lu, Z. Zheng, S. Sun, C.S.H. Tan# (2022) ProSAP: a GUI software tool for statistical analysis and assessment of thermal stability data Briefings in Bioinformatics, 23(3). 

10. J. Zheng, A. He, Y. Mao, L. Yang, C.S.H. Tan, R. Tian# (2021) Proteomics in Precision Medicine Detection Methods in Precision Medicine, 58-72

11. Low. T. Y.*, Syafruddin. S. E., Mohtar. M. A, Vellaichamy. A, Rahman. N. S. A, Pung. Y.-F, &  C.S.H. Tan# (2021). Recent progress in mass spectrometry-based strategies for elucidating protein–protein interactions. Cellular and Molecular Life Sciences, 78(13), 5325–5339.

12. J. Zheng, X. Chen, Y. Yang, C.S.H. Tan & R. Tian# (2020) Mass Spectrometry-Based Protein Complex Profiling in Time and Space. Analytical Chemistry

13. Xavier. Bisteau, Joann. Lee, Vinayaka. Srinivas, Joanna. H. S. Lee, Joanna. Niska-Blakie, Gifford. Tan, Shannon. Y. X. Yap, Kevin. W. Hom, Cheng. Kit. Wong, Jeongjun. Chae, Loo. Chien. Wang, Jinho. Kim, Giulia. Rancati, Radoslaw. M. Sobota, C.S.H. Tan & Philipp Kaldis# (2020) The Greatwall Kinase Safeguards the Genome Integrity by Affecting the Kinome Activity in Mitosis. Oncogene, pp. 1–25.

14. Y.T. Lim, N. Prabhu, L. Dai, K.D. Go, D. Chen, L. Sreekumar, L. Egeblad, S. Eriksson, L. Chen, S. Veerappan, H.L. Teo, C.S.H. Tan, J. Lengqvist, A. Larsson, R.M. Sobota, P. Nordlund (2018). An efficient proteome-wide strategy for discovery and characterization of cellular nucleotide-protein interactions. PLOS ONE 12 (12):e0208273.


百家乐官网龙虎斗| 花莲市| 真人百家乐官网网西陆| 总格24名人| 百家乐官网庄河闲的赌法| 大发888 澳门赌场| 百家乐大眼仔小路| 百家乐官网汝河路| 大发888游戏平台电子| 太阳百家乐网| 百家乐硬币打法| 挖掘百家乐官网赢钱秘籍| 德州扑克高牌| 真人百家乐园| 利都百家乐官网国际赌场娱乐网规则 | 澳门百家乐官网是骗人的| 永善县| 威尼斯人娱乐网注册送38元彩金| 虚拟百家乐游戏下载| 百家乐官网技巧真人荷官网| 百家乐官网存在千术吗| 新世纪娱乐成| 大发888娱乐城网址| 百家乐对子计算方法| 新澳门百家乐官网软件下载| 温州市| 大发888casino组件下载| 百家乐翻牌规则| 百家乐游戏排行榜| 唐朝百家乐官网的玩法技巧和规则 | 免费百家乐娱乐城| 网上百家乐注册彩金| 百家乐学院教学视频| 做生意的风水朝向| 百家乐视频游戏会员| 百家乐网站排名| 荷规则百家乐官网的玩法技巧和规则| 凯旋门百家乐官网现金网| 江华| 百家乐官网投注开户| 百家乐官网必胜|