代谢组学技术;质谱技术; 生物信息学

   

071009-细胞生物学
070302-分析化学

代谢组学
质谱分析
生物信息学

2011-10--2014-01   The Scripps Research Institute   博士后
2006-08--2011-10   University of Massachusetts Amherst   博士
2002-09--2006-06   南京大学   本科

   

2013-09~现在, 上海有机化学研究所生物与化学交叉研究中心, 研究员

   

[1] Cai, Yuping, Zhou, Zhiwei, Zhu, ZhengJiang. Advanced analytical and informatic strategies for metabolite annotation in untargeted metabolomics. TRAC-TRENDS IN ANALYTICAL CHEMISTRYnull. 2023, 158: http://dx.doi.org/10.1016/j.trac.2022.116903.
[2] Mingdu Luo, Yandong Yin, Zhiwei Zhou, Haosong Zhang, Xi Chen, Hongmiao Wang, Zheng-Jiang Zhu. A mass spectrum-oriented computational method for ion mobility-resolved untargeted metabolomics. NATURE COMMUNICATIONS[J]. 2023, 14(1): 1-15, http://dx.doi.org/10.1038/s41467-023-37539-0.
[3] Wang, Hongmiao, Jia, Huixun, Gao, Yang, Zhang, Haosong, Fan, Jin, Zhang, Lijie, Ren, Fandong, Yin, Yandong, Cai, Yuping, Zhu, Ji, Zhu, ZhengJiang. Serum metabolic traits reveal therapeutic toxicities and responses of neoadjuvant chemoradiotherapy in patients with rectal cancer. NATURE COMMUNICATIONS[J]. 2022, 13(1): http://dx.doi.org/10.1038/s41467-022-35511-y.
[4] Wang, Ruohong, Yin, Yandong, Li, Jingshu, Wang, Hongmiao, Lv, Wanting, Gao, Yang, Wang, Tangci, Zhong, Yedan, Zhou, Zhiwei, Cai, Yuping, Su, Xiaoyang, Liu, Nan, Zhu, ZhengJiang. Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila. NATURE COMMUNICATIONS[J]. 2022, 13(1): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000813768100022.
[5] Zhou, Zhiwei, Luo, Mingdu, Zhang, Haosong, Yin, Yandong, Cai, Yuping, Zhu, ZhengJiang. Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking. NATURE COMMUNICATIONS[J]. 2022, 13(1): http://dx.doi.org/10.1038/s41467-022-34537-6.
[6] Liu, Wenbin, Zhang, Weidong, Li, Tongzhou, Zhou, Zhiwei, Luo, Mingdu, Chen, Xi, Cai, Yuping, Zhu, ZhengJiang. Four-Dimensional Untargeted Profiling of N-Acylethanolamine Lipids in the Mouse Brain Using Ion Mobility-Mass Spectrometry. ANALYTICAL CHEMISTRY[J]. 2022, 94(36): 12472-12480, [7] Xi Chen, Yandong Yin, Mingdu Luo, Zhiwei Zhou, Yuping Cai, ZhengJiang Zhu. Trapped ion mobility spectrometry-mass spectrometry improves the coverage and accuracy of four-dimensional untargeted lipidomics. ANALYTICA CHIMICA ACTA[J]. 2022, 1210: [8] Shen, Xia, Wang, Can, Liang, Ningning, Liu, Zhen, Li, Xinde, Zhu, ZhengJiang, Merriman, Tony R, Dalbeth, Nicola, Terkeltaub, Robert, Li, Changgui, Yin, Huiyong. Serum Metabolomics Identifies Dysregulated Pathways and Potential Metabolic Biomarkers for Hyperuricemia and Gout. ARTHRITIS & RHEUMATOLOGY[J]. 2021, 73(9): 1738-1748, http://dx.doi.org/10.1002/art.41733.
[9] Deng, Kui, Zhao, Falin, Rong, Zhiwei, Cao, Lei, Zhang, Liuchao, Li, Kang, Hou, Yan, Zhu, ZhengJiang. WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch information. METABOLOMICS[J]. 2021, 17(10): [10] Qiu, Jiaqian, Li, Tongzhou, Zhu, ZhengJiang. Multi-dimensional characterization and identification of sterols in untargeted LC-MS analysis using all ion fragmentation technology. ANALYTICA CHIMICA ACTA[J]. 2021, 1142: 108-117, http://dx.doi.org/10.1016/j.aca.2020.10.058.
[11] Mei, Xinyu, Guo, Yuan, Xie, Zhangdan, Zhong, Yedan, Wu, Xiaofen, Xu, Daichao, Li, Ying, Liu, Nan, Zhu, ZhengJiang. RIPK1 regulates starvation resistance by modulating aspartate catabolism. NATURE COMMUNICATIONS[J]. 2021, 12(1): http://dx.doi.org/10.1038/s41467-021-26423-4.
[12] Tongzhou Li, Yandong Yin, Zhiwei Zhou, Jiaqian Qiu, Wenbin Liu, Xueting Zhang, Kaiwen He, Yuping Cai, ZhengJiang Zhu. Ion mobility-based sterolomics reveals spatially and temporally distinctive sterol lipids in the mouse brain. NATURE COMMUNICATIONS[J]. 2021, 12(1): http://dx.doi.org/10.1038/s41467-021-24672-x.
[13] Lv, Jiali, Wang, Jialin, Shen, Xiaotao, Liu, Jia, Zhao, Deli, Wei, Mengke, Li, Xia, Fan, Bingbing, Sun, Yawen, Xue, Fuzhong, Zhu, ZhengJiang, Zhang, Tao. A serum metabolomics analysis reveals a panel of screening metabolic biomarkers for esophageal squamous cell carcinoma. CLINICAL AND TRANSLATIONAL MEDICINE[J]. 2021, 11(5): https://doaj.org/article/39583dca4d4d457d926450c329d6b7fe.
[14] Chuchu Wang, Jia Tu, Shengnan Zhang, Bin Cai, Zhenying Liu, Shouqiao Hou, Qinglu Zhong, Xiao Hu, Wenbin Liu, Guohui Li, Zhijun Liu, Lin He, Jiajie Diao, ZhengJiang Zhu, Dan Li, Cong Liu. Different regions of synaptic vesicle membrane regulate VAMP2 conformation for the SNARE assembly. NATURE COMMUNICATIONS[J]. 2020, 11(1): http://dx.doi.org/10.1038/s41467-020-15270-4.
[15] Li Zhenwei, Hou Jinjun, Deng Yanping, Zhi Haijuan, Wu Wenyong, Yan Bingpeng, Chen Tingting, Tu Jia, Zhu Zhengjiang, Wu Wanying, Guo Dean. Exploring the protective effects of Danqi Tongmai tablet on acute myocardial ischemia rats by comprehensive metabolomics profiling. PHYTOMEDICINE[J]. 2020, 74: http://dx.doi.org/10.1016/j.phymed.2019.152918.
[16] Rong, Zhiwei, Tan, Qilong, Cao, Lei, Zhang, Liuchao, Deng, Kui, Huang, Yue, Zhu, ZhengJiang, Li, Zhenzi, Li, Kang. NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data. ANALYTICAL CHEMISTRY[J]. 2020, 92(7): 5082-5090, http://dx.doi.org/10.1021/acs.analchem.9b05460.
[17] Tsugawa, Hiroshi, Ikeda, Kazutaka, Takahashi, Mikiko, Satoh, Aya, Mori, Yoshifumi, Uchino, Haruki, Okahashi, Nobuyuki, Yamada, Yutaka, Tada, Ipputa, Bonini, Paolo, Higashi, Yasuhiro, Okazaki, Yozo, Zhou, Zhiwei, Zhu, ZhengJiang, Koelmel, Jeremy, Cajka, Tomas, Fiehn, Oliver, Saito, Kazuki, Arita, Masanori, Arita, Makoto. A lipidome atlas in MS-DIAL 4. NATURE BIOTECHNOLOGY[J]. 2020, 38(10): 1159-+, https://www.webofscience.com/wos/woscc/full-record/WOS:000540408500002.
[18] Bridi, Michelle C D, Zong, FangJiao, Min, Xia, Luo, Nancy, Tran, Trinh, Qiu, Jiaqian, Severin, Daniel, Zhang, XueTing, Wang, Guanglin, Zhu, ZhengJiang, He, KaiWen, Kirkwood, Alfredo. Daily Oscillation of the Excitation-Inhibition Balance in Visual Cortical Circuits. NEURON[J]. 2020, 105(4): 621-+, http://dx.doi.org/10.1016/j.neuron.2019.11.011.
[19] Chen, Xi, Yin, Yandong, Zhou, Zhiwei, Li, Tongzhou, Zhu, ZhengJiang. Development of a combined strategy for accurate lipid structural identification and quantification in ion-mobility mass spectrometry based untargeted lipidomics. ANALYTICA CHIMICA ACTA[J]. 2020, 1136: 115-124, http://dx.doi.org/10.1016/j.aca.2020.08.048.
[20] Guo, Lin, Gao, Jing, Gao, Yang, Zhu, Zhengjiang, Zhang, Yaoyang. Aspirin Reshapes Acetylomes in Inflammatory and Cancer Cells via CoA-Dependent and CoA-Independent Pathways. JOURNAL OF PROTEOME RESEARCH[J]. 2020, 19(2): 962-972, https://www.webofscience.com/wos/woscc/full-record/WOS:000513085100035.
[21] Luo, MingDu, Zhou, ZhiWei, Zhu, ZhengJiang. The Application of Ion Mobility-Mass Spectrometry in Untargeted Metabolomics: from Separation to Identification. 分析检测(英文)[J]. 2020, 4(3): 163-174, http://lib.cqvip.com/Qikan/Article/Detail?id=7107072410.
[22] You, Yingnan, Gao, Yang, Wang, Han, Li, Jingshu, Zhang, Xiang, Zhu, Zhengjiang, Liu, Nan. Subacute Toxicity Study of Nicotinamide Mononucleotide via Oral Administration. FRONTIERS IN PHARMACOLOGY[J]. 2020, 11: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770224/.
[23] Zhiwei Zhou, Mingdu Luo, Xi Chen, Yandong Yin, Xin Xiong, Ruohong Wang, ZhengJiang Zhu. Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics. NATURE COMMUNICATIONS[J]. 2020, 11(1): https://doaj.org/article/e6d6e634999a4c0f9fc4d90b78491cb2.
[24] Shen, Xiaotao, Zhu, ZhengJiang. MetFlow: an interactive and integrated workflow for metabolomics data cleaning and differential metabolite discovery. BIOINFORMATICS[J]. 2019, 35(16): 2870-2872, https://www.webofscience.com/wos/woscc/full-record/WOS:000487292100028.
[25] Xiaotao Shen, Ruohong Wang, Xin Xiong, Yandong Yin, Yuping Cai, Zaijun Ma, Nan Liu, ZhengJiang Zhu. Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics. NATURE COMMUNICATIONS[J]. 2019, 10(1): 1-14, https://doaj.org/article/483ceccdfc294c00b995f17e16a13252.
[26] Zhou, Zhiwei, Shen, Xiaotao, Chen, Xi, Tu, Jia, Xiong, Xin, Zhu, ZhengJiang. LipidIMMS Analyzer: integrating multi-dimensional information to support lipid identification in ion mobility-mass spectrometry based lipidomics. BIOINFORMATICS[J]. 2019, 35(4): 698-700, [27] Tu, Jia, Zhou, Zhiwei, Li, Tongzhou, Zhu, ZhengJiang. The emerging role of ion mobility-mass spectrometry in lipidomics to facilitate lipid separation and identification. TRAC-TRENDS IN ANALYTICAL CHEMISTRYnull. 2019, 116: 332-339, http://dx.doi.org/10.1016/j.trac.2019.03.017.
[28] Deng, Kui, Zhang, Fan, Tan, Qilong, Huang, Yue, Song, Wei, Rong, Zhiwei, Zhu, ZhengJiang, Li, Zhenzi, Li, Kang. WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis. ANALYTICA CHIMICA ACTA[J]. 2019, 1061: 60-69, http://dx.doi.org/10.1016/j.aca.2019.02.010.
[29] Yin, Yandong, Wang, Ruohong, Cai, Yuping, Wang, Zhuozhong, Zhu, ZhengJiang. DecoMetDIA: Deconvolution of Multiplexed MS/MS Spectra for Metabolite Identification in SWATH-MS-Based Untargeted Metabolomics. ANALYTICAL CHEMISTRY[J]. 2019, 91(18): 11897-11904, https://www.webofscience.com/wos/woscc/full-record/WOS:000487156900054.
[30] Wang, Ruohong, Yin, Yandong, Zhu, ZhengJiang. Advancing untargeted metabolomics using data-independent acquisition mass spectrometry technology. ANALYTICAL AND BIOANALYTICAL CHEMISTRY[J]. 2019, 411(19): 4349-4357, [31] Wang, Zhuozhong, Cui, Binbin, Zhang, Fan, Yang, Yue, Shen, Xiaotao, Li, Zhong, Zhao, Weiwei, Zhang, Yuanyuan, Deng, Kui, Rong, Zhiwei, Yang, Kai, Yu, Xiwen, Li, Kang, Han, Peng, Zhu, ZhengJiang. Development of a Correlative Strategy To Discover Colorectal Tumor Tissue Derived Metabolite Biomarkers in Plasma Using Untargeted Metabolomics. ANALYTICAL CHEMISTRY[J]. 2019, 91(3): 2401-2408, http://dx.doi.org/10.1021/acs.analchem.8b05177.
[32] Xue, JianHuang, Chen, GuoDong, Hao, Fuhua, Chen, Hui, Fang, Zhaoyuan, Chen, FangFang, Pang, Bo, Yang, QingLin, Wei, Xinben, Fan, QiangQiang, Xin, Changpeng, Zhao, Jiaohong, Deng, Xuan, Wang, BangAn, Zhang, XiaoJie, Chu, Yueying, Tang, Hui, Yin, Huiyong, Ma, Weimin, Chen, Luonan, Ding, Jianping, Weinhold, Elmar, Kohli, Rahul M, Liu, Wen, Zhu, ZhengJiang, Huang, Kaiyao, Tang, Huiru, Xu, GuoLiang. A vitamin-C-derived DNA modification catalysed by an algal TET homologue. NATURE[J]. 2019, 569(7757): 581-+, [33] Ma, Zaijun, Wang, Hui, Cai, Yuping, Wang, Han, Niu, Kongyan, Wu, Xiaofen, Ma, Huanhuan, Yang, Yun, Tong, Wenhua, Liu, Feng, Liu, Zhandong, Zhang, Yaoyang, Liu, Rui, Zhu, ZhengJiang, Liu, Nan. Epigenetic drift of H3K27me3 in aging links glycolysis to healthy longevity in Drosophila. ELIFE[J]. 2018, 7: https://doaj.org/article/9cf7759066d24f918441bcbfdd73a2ff.
[34] Zhou, Zhiwei, Tu, Jia, Zhu, ZhengJiang. Advancing the large-scale CCS database for metabolomics and lipidomics at the machine-learning era. CURRENT OPINION IN CHEMICAL BIOLOGYnull. 2018, 42: 34-41, http://dx.doi.org/10.1016/j.cbpa.2017.10.033.
[35] Yang, Kai, Zhang, Fan, Han, Peng, Wang, Zhuozhong, Deng, Kui, Zhang, Yuanyuan, Zhao, Weiwei, Song, Wei, Cai, Yuqing, Li, Kang, Cui, Binbin, Zhu, ZhengJiang. Metabolomics approach for predicting response to neoadjuvant chemotherapy for colorectal cancer. METABOLOMICS[J]. 2018, 14(9): https://www.webofscience.com/wos/woscc/full-record/WOS:000442051000001.
[36] Jia, Huixun, Shen, Xiaotao, Guan, Yun, Xu, Meimei, Tu, Jia, Mo, Miao, Xie, Li, Yuan, Jing, Zhang, Zhen, Cai, Sanjun, Zhu, Ji, Zhu, ZhengJiang. Predicting the pathological response to neoadjuvant chemoradiation using untargeted metabolomics in locally advanced rectal cancer. RADIOTHERAPY AND ONCOLOGY[J]. 2018, 128(3): 548-556, http://dx.doi.org/10.1016/j.radonc.2018.06.022.
[37] Zha, Haihong, Cai, Yuping, Yin, Yandong, Wang, Zhuozhong, Li, Kang, Zhu, ZhengJiang. SWATHtoMRM: Development of High-Coverage Targeted Metabolomics Method Using SWATH Technology for Biomarker Discovery. ANALYTICAL CHEMISTRY[J]. 2018, 90(6): 4062-4070, http://dx.doi.org/10.1021/acs.analchem.7b05318.
[38] Tu, Jia, Yin, Yandong, Xu, Meimei, Wang, Ruohong, Zhu, ZhengJiang. Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain. METABOLOMICS[J]. 2018, 14(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000424713300010.
[39] Yang, Xiangyun, Wang, Zhiyuan, Guo, Lin, Zhu, Zhengjiang, Zhang, Yaoyang. Proteome-Wide Analysis of N-Glycosylation Stoichiometry Using SWATH Technology. JOURNAL OF PROTEOME RESEARCH[J]. 2017, 16(10): 3830-3840, https://www.webofscience.com/wos/woscc/full-record/WOS:000412789400031.
[40] Lin, Ran, Mo, Yan, Zha, Haihong, Qu, Zhipeng, Xie, Pancheng, Zhu, ZhengJiang, Xu, Ying, Xiong, Yue, Guan, KunLiang. CLOCK Acetylates ASS1 to Drive Circadian Rhythm of Ureagenesis. MOLECULAR CELL[J]. 2017, 68(1): 198-+, http://dx.doi.org/10.1016/j.molcel.2017.09.008.
[41] Zhou, Zhiwei, Tu, Jia, Xiong, Xin, Shen, Xiaotao, Zhu, ZhengJiang. LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision To Support Ion Mobility-Mass Spectrometry-Based Lipidomics. ANALYTICAL CHEMISTRY[J]. 2017, 89(17): 9559-9566, https://www.webofscience.com/wos/woscc/full-record/WOS:000410014900133.
[42] Zhou, Zhiwei, Xiong, Xin, Zhu, ZhengJiang. MetCCS predictor: a web server for predicting collision cross-section values of metabolites in ion mobility-mass spectrometry based metabolomics. BIOINFORMATICS[J]. 2017, 33(14): 2235-2237, https://www.webofscience.com/wos/woscc/full-record/WOS:000405289100080.
[43] Lu, Jianhong, Chen, Buxing, Chen, Tingting, Guo, Shuyuan, Xue, Xinli, Chen, Qun, Zhao, Mingming, Xia, Lin, Zhu, Zhengjiang, Zheng, Lemin, Yin, Huiyong. Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases. REDOX BIOLOGY[J]. 2017, 12(-): 899-907, http://dx.doi.org/10.1016/j.redox.2017.04.032.
[44] Zhou, Zhiwei, Shen, Xiaotao, Tu, Jia, Zhu, ZhengJiang. Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility-Mass Spectrometry. ANALYTICAL CHEMISTRY[J]. 2016, 88(22): 11084-11091, https://www.webofscience.com/wos/woscc/full-record/WOS:000388154700045.
[45] Li, Hao, Cai, Yuping, Guo, Yuan, Chen, Fangfang, Zhu, ZhengJiang. MetDIA: Targeted Metabolite Extraction of Multiplexed MS/MS Spectra Generated by Data-Independent Acquisition. ANALYTICAL CHEMISTRY[J]. 2016, 88(17): 8757-8764, https://www.webofscience.com/wos/woscc/full-record/WOS:000382805900058.
[46] Shen, Xiaotao, Gong, Xiaoyun, Cai, Yuping, Guo, Yuan, Tu, Jia, Li, Hao, Zhang, Tao, Wang, Jialin, Xue, Fuzhong, Zhu, ZhengJiang. Normalization and integration of large-scale metabolomics data using support vector regression. METABOLOMICS[J]. 2016, 12(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000378755000001.
[47] Wang, Jialin, Zhang, Tao, Shen, Xiaotao, Liu, Jia, Zhao, Deli, Sun, Yawen, Wang, Lu, Liu, Yingjun, Gong, Xiaoyun, Liu, Yanxun, Zhu, ZhengJiang, Xue, Fuzhong. Serum metabolomics for early diagnosis of esophageal squamous cell carcinoma by UHPLC-QTOF/MS. METABOLOMICS[J]. 2016, 12(7): https://www.webofscience.com/wos/woscc/full-record/WOS:000379508500008.
[48] Cai, Yuping, Weng, Kai, Guo, Yuan, Peng, Jie, Zhu, ZhengJiang. An integrated targeted metabolomic platform for high-throughput metabolite profiling and automated data processing. METABOLOMICS[J]. 2015, 11(6): 1575-1586, https://www.webofscience.com/wos/woscc/full-record/WOS:000363040600009.
[49] Kurczy, Michael E, Zhu, ZhengJiang, Ivanisevic, Julijana, Schuyler, Adam M, Lalwani, Kush, Santidrian, Antonio F, David, John M, Giddabasappa, Anand, Roberts, Amanda J, Olivos, Hernando J, OBrien, Peter J, Franco, Lauren, Fields, Matthew W, Paris, Liliana P, Friedlander, Martin, Johnson, Caroline H, Epstein, Adrian A, Gendelman, Howard E, Wood, Malcolm R, Felding, Brunhilde H, Patti, Gary J, Spilker, Mary E, Siuzdak, Gary. Comprehensive bioimaging with fluorinated nanoparticles using breathable liquids. NATURE COMMUNICATIONS[J]. 2015, 6: 5998-5998, https://www.webofscience.com/wos/woscc/full-record/WOS:000348829500005.
[50] Xia, Hongguang, Najafov, Ayaz, Geng, Jiefei, GalanAcosta, Lorena, Han, Xuemei, Guo, Yuan, Shan, Bing, Zhang, Yaoyang, Norberg, Erik, Zhang, Tao, Pan, Lifeng, Liu, Junli, Coloff, Jonathan L, Ofengeim, Dimitry, Zhu, Hong, Wu, Kejia, Cai, Yu, Yates, John R, Zhu, Zhengjiang, Yuan, Junying, VakifahmetogluNorberg, Helin. Degradation of HK2 by chaperone-mediated autophagy promotes metabolic catastrophe and cell death. JOURNAL OF CELL BIOLOGY[J]. 2015, 210(5): 705-716, https://www.webofscience.com/wos/woscc/full-record/WOS:000360685600006.
[51] Ivanisevic, Julijana, Zhu, ZhengJiang, Plate, Lars, Tautenhahn, Ralf, Chen, Stephen, OBrien, Peter J, Johnson, Caroline H, Marletta, Michael A, Patti, Gary J, Siuzdak, Gary. Toward 'Omic Scale Metabolite Profiling: A Dual Separation-Mass Spectrometry Approach for Coverage of Lipid and Central Carbon Metabolism. ANALYTICAL CHEMISTRY[J]. 2013, 85(14): 6876-6884, https://www.webofscience.com/wos/woscc/full-record/WOS:000322059600048.
[52] Zhu, ZhengJiang, Schultz, Andrew W, Wang, Junhua, Johnson, Caroline H, Yannone, Steven M, Patti, Gary J, Siuzdak, Gary. Liquid chromatography quadrupole time-of-flight mass spectrometry characterization of metabolites guided by the METLIN database. NATURE PROTOCOLS[J]. 2013, 8(3): 451-460, https://www.webofscience.com/wos/woscc/full-record/WOS:000317110600002.
[53] Zhu, ZhengJiang, Posati, Tamara, Moyano, Daniel F, Tang, Rui, Yan, Bo, Vachet, Richard W, Rotello, Vincent M. The Interplay of Monolayer Structure and Serum Protein Interactions on the Cellular Uptake of Gold Nanoparticles. SMALL[J]. 2012, 8(17): 2659-2663, https://www.webofscience.com/wos/woscc/full-record/WOS:000308303600007.
[54] Zhu, ZhengJiang, Tang, Rui, Yeh, YiCheun, Miranda, Oscar R, Rotello, Vincent M, Vachet, Richard W. Determination of the Intracellular Stability of Gold Nanoparticle Monolayers Using Mass Spectrometry. ANALYTICAL CHEMISTRY[J]. 2012, 84(10): 4321-4326, https://www.webofscience.com/wos/woscc/full-record/WOS:000303965500014.
[55] ZhengJiang Zhu. Effect of Surface Charge on the Uptake and Distribution of Gold Nanoparticles in Plants. Environ. Sci. Technol.. 2012, [56] Tautenhahn, Ralf, Cho, Kevin, Uritboonthai, Winnie, Zhu, Zhengjiang, Patti, Gary J, Siuzdak, Gary. An accelerated workflow for untargeted metabolomics using the METLIN database. NATURE BIOTECHNOLOGYnull. 2012, 30(9): 826-828, https://www.webofscience.com/wos/woscc/full-record/WOS:000308705700012.
[57] Zhu, ZhengJiang, Yeh, YiCheun, Tang, Rui, Yan, Bo, Tamayo, Joshua, Vachet, Richard W, Rotello, Vincent M. Stability of quantum dots in live cells. NATURE CHEMISTRY[J]. 2011, 3(12): 963-968, https://www.webofscience.com/wos/woscc/full-record/WOS:000297685800015.
[58] ZhengJiang Zhu. Host-Guest Chemistry inside Living Cells: Recognition-Mediated Activation of Therapeutic Gold Nanoparticles. Nature Chemistry. 2010, [59] Zhu, ZhengJiang, Carboni, Rachel, Quercio, Michael J, Jr, Yan, Bo, Miranda, Oscar R, Anderton, Douglas L, Arcaro, Kathleen F, Rotello, Vincent M, Vachet, Richard W. Surface Properties Dictate Uptake, Distribution, Excretion, and Toxicity of Nanoparticles in Fish. SMALL[J]. 2010, 6(20): 2261-2265, https://www.webofscience.com/wos/woscc/full-record/WOS:000283890500010.
[60] Yan, Bo, Zhu, ZhengJiang, Miranda, Oscar R, Chompoosor, Apiwat, Rotello, Vincent M, Vachet, Richard W. Laser desorption/ionization mass spectrometry analysis of monolayer-protected gold nanoparticles. ANALYTICAL AND BIOANALYTICAL CHEMISTRY[J]. 2010, 396(3): 1025-1035, https://www.webofscience.com/wos/woscc/full-record/WOS:000273845200008.
[61] Zhu, ZhengJiang, Rotello, Vincent M, Vachet, Richard W. Engineered nanoparticle surfaces for improved mass spectrometric analyses. ANALYST[J]. 2009, 134(11): 2183-2188, https://www.webofscience.com/wos/woscc/full-record/WOS:000270941900001.
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