Lei Wang

Dalian University of Technology, Lü-ta-shih, Liaoning, China

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Publications (823)2016.11 Total impact

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    ABSTRACT: Colorectal liver metastases (CLM) occur frequently and postoperative intestinal infection is a common complication. Our previous study showed that probiotics could decrease the rate of infectious complications after colectomy for colorectal cancer. To determine the effects of the perioperative administration of probiotics on serum zonulin levels which is a marker of intestinal permeability and the subsequent impact on postoperative infectious complications in patients with CLM. 150 patients with CLM were randomly divided into control group (n = 68) and probiotics group (n = 66). Probiotics and placebo were given orally for 6 days preoperatively and 10 days postoperatively to control group and probiotics group respectively. We used the local resection for metastatic tumor ,while for large tumor, the segmental hepatectomy. Postoperative outcome were recorded. Furthermore, complications in patients with normal intestinal barrier function and the relation with serum zonulin were analyzed to evaluate the impact on the liver barrier dysfunction. The incidence of infectious complications in the probiotics group was lower than control group. Analysis of CLM patients with normal postoperative intestinal barrier function paralleled with the serum zonulin level. And probiotics could also reduce the concentration of serum zonulin (P = 0.004) and plasma endotoxin (P < 0.001). Perioperative probiotics treatment could reduce the serum zonulin level, the rate of postoperative septicemia and maintain the liver barrier in patients undergoing CLM surgery. we propose a new model about the regulation of probiotics to liver barrier via clinical regulatory pathway. We recommend the preoperative oral intake of probiotics combined with postoperative continued probiotics treatment in patients who undergo CLM surgery. ChiCTR-TRC- 12002841 . 2012/12/21.
    BMC Gastroenterology 12/2015; 15(1):34. DOI:10.1186/s12876-015-0260-z · 2.11 Impact Factor
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    ABSTRACT: Gold nanomaterials possess unique physical and chemical properties, which attracted much attention in recent years. As a new type of gold nanomaterials, gold nanostars (GNSTs) have been prepared and characterized in this study. GNSTs under near-infrared (NIR) light irradiation can exert not only cancer photothermal therapy via heat production but also photodynamic therapy via generation of reactive oxygen species. GNSTs were able to enter the cytoplasm as well as nuclei of human breast michigan cancer foundation-7 (MCF-7) cells. Under NIR light irradiation, GNSTs caused more severe DNA damage, arrest the cell cycle in G0/G1 phase, and reduce more cellular glutathione level, causing more severe apoptosis and cell death in vitro. Intratumoral injection of GNSTs with NIR light irradiation significantly inhibited tumor growth in vivo. In addition, GNSTs were demonstrated to be a contrast agent for X-ray imaging. All the in vitro and in vivo results showed that GNSTs can be used for the potential diagnosis and medical treatment of cancer. © The Author(s) 2015.
    Journal of Biomaterials Applications 07/2015; DOI:10.1177/0885328215594481 · 2.76 Impact Factor
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    ABSTRACT: The palladium-catalyzed direct ortho-ethoxycarbonylation of azobenzenes and azoxybenzenes with diethyl azodicarboxylate (DEAD) was developed. In the presence of Cu(OAc)2 or (NH4)2S2O8 as oxidant, this protocol allowed using both electron-deficient and electron-rich azobenzenes and azoxybenzenes to produce the corresponding products in moderate to good yields.
    Organic & Biomolecular Chemistry 07/2015; DOI:10.1039/C5OB01264C · 3.49 Impact Factor
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    ABSTRACT: The aim of this study was to develop multifunctional poly lactide-co-glycolide (PLGA) nanoparticles with the ability to simultaneously deliver indocyanine green (ICG) and docetaxel (DTX) to the brain by surface decoration with the brain-targeting peptide angiopep-2 to achieve combined chemo-phototherapy for glioma under near-infrared (NIR) imaging. ICG was selected as a near-infrared imaging and phototherapy agent and DTX was employed as a chemotherapeutic agent. ICG and DTX were simultaneously incorporated into PLGA nanoparticles with higher stability. These nanoparticles were further decorated with angiopep-2 via the outer maleimide group of 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(polyethyleneglycol)-2000]-maleinimide incorporated in the nanoparticles. The NIR image-guided chemo-phototherapy of the angiopep-2 modified PLGA/DTX/ICG nanoparticles (ANG/PLGA/DTX/ICG NPs) not only highly induced U87MG cell death in vitro, but also efficiently prolonged the life span of the brain orthotopic U87MG glioma xenograft-bearing mice in vivo. Thus, this study suggests that ANG/PLGA/DTX/ICG NPs have the potential for combinatorial chemotherapy and phototherapy for glioma. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
    Macromolecular Bioscience 07/2015; DOI:10.1002/mabi.201500091 · 3.65 Impact Factor
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    ABSTRACT: The rutile single crystals were implanted by 200 keV He+ ions with a series fluence and annealed at different temperatures to investigate the blistering behavior. The Rutherford backscattering spectrometry, optical microscope and X-ray diffraction were employed to characterize the implantation induced lattice damage and blistering. It was found that the blistering on rutile surface region can be realized by He+ ion implantation with appropriate fluence and the following thermal annealing.
    Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 07/2015; 354:255-258. DOI:10.1016/j.nimb.2014.11.052 · 1.12 Impact Factor
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    ABSTRACT: Big data areas are expanding in a fast way in terms of increasing workloads and runtime systems, and this situation imposes a serious challenge to workload characterization, which is the foundation of innovative system and architecture design. The previous major efforts on big data benchmarking either propose a comprehensive but a large amount of workloads, or only select a few workloads according to so-called popularity, which may lead to partial or even biased observations. In this paper, on the basis of a comprehensive big data benchmark suite---BigDataBench, we reduced 77 workloads to 17 representative workloads from a micro-architectural perspective. On a typical state-of-practice platform---Intel Xeon E5645, we compare the representative big data workloads with SPECINT, SPECCFP, PARSEC, CloudSuite and HPCC. After a comprehensive workload characterization, we have the following observations. First, the big data workloads are data movement dominated computing with more branch operations, taking up to 92% percentage in terms of instruction mix, which places them in a different class from Desktop (SPEC CPU2006), CMP (PARSEC), HPC (HPCC) workloads. Second, corroborating the previous work, Hadoop and Spark based big data workloads have higher front-end stalls. Comparing with the traditional workloads i. e. PARSEC, the big data workloads have larger instructions footprint. But we also note that, in addition to varied instruction-level parallelism, there are significant disparities of front-end efficiencies among different big data workloads. Third, we found complex software stacks that fail to use state-of-practise processors efficiently are one of the main factors leading to high front-end stalls. For the same workloads, the L1I cache miss rates have one order of magnitude differences among diverse implementations with different software stacks.
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    ABSTRACT: An efficient DMAP-catalyzed [2 + 4] cycloaddition of allenoates and N-acyldiazenes is reported. The reaction involved embedding three heteroatoms into a six-membered ring and generated 1,3,4-oxadiazine derivatives in moderate to good yields.
    Organic Letters 06/2015; 17(13). DOI:10.1021/acs.orglett.5b01237 · 6.32 Impact Factor
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    ABSTRACT: Microorganisms are valuable resources for lipid production. What makes one microbe but not the other able to efficiently synthesize and accumulate lipids is poorly understood. In the present study, global gene expression prior to and after the onset of lipogenesis was determined by transcriptomics using the oleaginous fungus Mortierella alpina as a model system. A core of 23 lipogenesis associated genes was identified and their expression patterns shared a high similarity among oleaginous microbes Chlamydomonas reinhardtii, Mucor circinelloides and Rhizopus oryzae but was dissimilar to the non-oleaginous Aspergillus nidulans. Unexpectedly, Glucose-6-phosphate dehydrogenase (G6PD) and 6-phosphogluconate dehydrogenase (PGD) in the pentose phosphate pathway (PPP) were found to be the NADPH producers responding to lipogenesis in the oleaginous microbes. Their role in lipogenesis was confirmed by a knockdown experiment. Our results demonstrate, for the first time, that the PPP plays a significant role during fungal lipogenesis. Up-regulation of NADPH production by the PPP, especially G6PD, may be one of the critical determinants that enables efficiently fatty acid synthesis in oleaginous microbes.
    Scientific Reports 06/2015; 5:11247. DOI:10.1038/srep11247 · 5.58 Impact Factor
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    ABSTRACT: The great prosperity of big data systems such as Hadoop in recent years makes the benchmarking of these systems become crucial for both research and industry communities. The complexity, diversity, and rapid evolution of big data systems gives rise to various new challenges about how we design generators to produce data with the 4V properties (i.e. volume, velocity, variety and veracity), as well as implement application-specific but still comprehensive workloads. However, most of the existing big data benchmarks can be described as attempts to solve specific problems in benchmarking systems. This article investigates the state-of-the-art in benchmarking big data systems along with the future challenges to be addressed to realize a successful and efficient benchmark.
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    ABSTRACT: The purpose of the study was to investigate the protective effect and molecular mechanism of chondroitin sulfate (CS) against 6-hydroxydopamine (6-OHDA) induced toxicity in the human neuroblastoma cell line SH-SY5Y. The results showed that CS could protect SH-SY5Y cells against 6-OHDA-induced injury. The subsequent mechanism study showed that the anti-oxidation of CS may partly be mediated through inhibiting the intracellular reactive oxygen species overproduction, recovering the reduction of nuclear NF-E2-related factor-2 (Nrf2) expression and the reduction of antioxidants activity induced by 6-OHDA. Furthermore, CS pretreatment significantly attenuated 6-OHDA-induced cell apoptosis and nuclear condensation. 6-OHDA-induced dysfunctions, including the decrease of mitochondrial membrane potential (ΔΨm), increase of intracellular free Ca(2+), imbalance of Bcl-2/Bax ratio, release of Cyt-c from the mitochondria and activation of caspase-3 and caspase-9 were attenuated by CS pretreatment, which demonstrated that CS suppressed 6-OHDA-induced apoptosis in SH-SY5Y cells possibly through mitochondria protection. These results suggest that CS exhibits anti-oxidation through the up-regulation of Nrf2 along with endogenous antioxidant, and reduces apoptosis via inhibiting the mitochondrial pathway to protect SH-SY5Y cells damaged by 6-OHDA.
    Neurochemical Research 06/2015; DOI:10.1007/s11064-015-1628-8 · 2.55 Impact Factor
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    ABSTRACT: A Bi-2223/Ag insert was fabricated to assemble a high field superconducting magnet. The insert consists of 17 double pancakes, with turn to turn and layer to layer insulations. To get the current distribution in each turn of the pancake coil, a numerical method of magnetization in a thin film derived from E.Zeldov was employed. To improve the calculation accuracy, we add the I-C data tested from the experiments into the code directly. In the calculation, we take several different cases into account, such as High Field-Low Current (HFLC) case, Low Field-High Current (LFHC) case, which will have an effect on the current distributions. The overall process is divided into three sections: Firstly, we calculate the nonuniform but symmetrical transport current distributions through the transport current model. Secondly, the non-uniform and asymmetrical transport current distributions is recalculated through the magnetic field and transport current model. Thirdly, the screening current distributions are calculated after the coil is discharged.
    IEEE Transactions on Applied Superconductivity 06/2015; 25(3):1-6. DOI:10.1109/TASC.2014.2375956 · 1.32 Impact Factor
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    ABSTRACT: Low-loss planar and channel waveguides in ${rm Pr}^{3+}$ -doped yttrium orthosilicate single crystals were fabricated using 6-MeV oxygen ion implantation. The fabricated surface guiding structure was characterized by the prism coupling method. The relationship between the implantation induced index change and the implantation fluence has been investigated. The photoluminescence properties of the implanted samples were found to be well preserved with respect to the bulk, exhibiting possible applications for integrated quantum memory and laser generation devices.
    Journal of Lightwave Technology 06/2015; 33(11):2263-2267. DOI:10.1109/JLT.2015.2410276 · 2.86 Impact Factor
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    ABSTRACT: In the title indolinone derivative, C10H10INO, all the non-H atoms, except the terminal methyl C atom, are almost coplanar. The mol­ecules are arranged into columns extending along the a-axis direction and inter­act with the mol­ecules in adjacent columns via C-HO hydrogen bonds [HO distance = 2.57 (3)
    06/2015; 71(6):712-715. DOI:10.1107/S2056989015009937
  • IEEE Transactions on Applied Superconductivity 06/2015; 25(3):1-5. DOI:10.1109/TASC.2014.2376036 · 1.32 Impact Factor
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    ABSTRACT: The present study aimed to identify serum biomarkers for the detection of hepatoblastoma (HB). Serum samples were collected from 71 HB patients (stage I, n = 19; stage II, n = 19, stage III, n = 19; and stage IV, n = 14) and 23 age- and sex-matched healthy children. Differential expression of serum protein markers were screened using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS), and the target proteins were isolated and purified using HPLC and identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), SEQUEST, and bioinformatics analysis. Differential protein expression was confirmed by enzyme-linked immunosorbent analysis (ELISA). SELDI-TOF-MS screening identified a differentially expressed protein with an m/z of 9348 Da, which was subsequently identified as Apo A-I; its expression was significantly lower in the HB group as compared to the normal control group (1546.67 ± 757.81 vs. 3359.21 ± 999.36, respectively; p < 0.01). Although the expression level decreased with increasing disease stage, pair-wise comparison revealed significant differences in Apo A-I expression between the normal group and the HB subgroups (p < 0.01). ELISA verified the reduced expression of Apo A-I in the HB group. Taken together, these results suggest that Apo A-I may represent a serum protein biomarker of HB. Further studies will assess the value of using Apo A-I expression for HB diagnosis and staging.
    International Journal of Molecular Sciences 06/2015; 16(6):12669-12685. DOI:10.3390/ijms160612669 · 2.34 Impact Factor
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    ABSTRACT: Hemolin belongs to the immunoglobulin superfamily and plays an important role in innate immune response of insects. In this study, a hemolin-like cDNA of 1418bp was obtained from Antheraea pernyi (Ap-hemolin-like). Sequence analysis revealed Ap-hemolin-like was homologous to those hemolins from other insect species. Recombinant Ap-hemolin-like protein was expressed in Escherichia coli cells, and polyclonal antibodies were produced against the recombinant proteins. Real-time PCR and western blot analysis showed that the Ap-hemolin-like was expressed in hemolymph, Malpighian tubules, midgut, epidermis and fat body, with the highest expression level in hemolymph. To investigate its role in the immune response against microorganisms, fifth instar larvae were challenged by injecting nucleopolyhedrovirus (NPV), E. coli, or Beauveria bassiana. The results showed that the expression of Ap-hemolin-like in hemolymph and fat body was obviously induced by microorganisms. In addition, the recombinant Ap-hemolin-like protein promoted the agglutination of E. coli in the presence of calcium, which was confirmed by agglutination assay. These results suggested that the Ap-hemolin-like protein was involved in innate immune response of A. pernyi against pathogens. Copyright © 2015 Elsevier B.V. All rights reserved.
    International immunopharmacology 05/2015; 26(1). DOI:10.1016/j.intimp.2015.03.010 · 2.71 Impact Factor
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    ABSTRACT: The cloud point of thermo-sensitive triblock polymer L61, poly (ethylene oxide)-poly (propylene oxide)-poly (ethylene oxide) (PEO-PPO-PEO), was determined in the presence of various electrolytes (K2HPO4, (NH4)3C6H5O7 and K3C6H5O7). The cloud point of L61 was lowered by the addition of electrolytes and the cloud point of L61 decreased linearly with increasing electrolytes concentration. The efficacy of electrolytes on reducing cloud point followed the order: K3C6H5O7 > (NH4)3C6H5O7 > K2HPO4. With the increase of salt concentration, aqueous two-phase systems exhibited a phase inversion. In addition, increasing the temperature reduced the concentration of salt needed that could promote phase inversion. The phase diagrams and liquid-liquid equilibrium data of the L61-K2HPO4/ (NH4)3C6H5O7/ K3C6H5O7 aqueous two-phase systems (before the phase inversion but also after phase inversion) were determined at T = (25, 30 and 35) oC. Phase diagrams of aqueous two-phase systems were fitted to a four parameter empirical non-linear expression. Moreover, the slopes of the tie-lines and the area of two-phase region in the diagram have a tendency to rise with increasing temperature. The capacity of different salts to induce aqueous two-phase system formation was the same order with the ability of salts to reduce the cloud point.
    The Journal of Physical Chemistry B 05/2015; 119(25). DOI:10.1021/acs.jpcb.5b03201 · 3.30 Impact Factor
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    ABSTRACT: Big data benchmarking is particularly important and provides applicable yardsticks for evaluating booming big data systems. However, wide coverage and great complexity of big data computing impose big challenges on big data benchmarking. How can we construct a benchmark suite using a minimum set of units of computation to represent diversity of big data analytics workloads? Big data dwarfs are abstractions of extracting frequently appearing operations in big data computing. One dwarf represents one unit of computation, and big data workloads are decomposed into one or more dwarfs. Furthermore, dwarfs workloads rather than vast real workloads are more cost-efficient and representative to evaluate big data systems. In this paper, we extensively investigate six most important or emerging application domains i.e. search engine, social network, e-commerce, multimedia, bioinformatics and astronomy. After analyzing forty representative algorithms, we single out eight dwarfs workloads in big data analytics other than OLAP, which are linear algebra, sampling, logic operations, transform operations, set operations, graph operations, statistic operations and sort.
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    ABSTRACT: Hydrogen is considered by many to be a promising energy currency, particularly for the transportation sector and for mobile devices. To realize a hydrogen-based fuel economy, hydrogen must be produced in an efficient and sustainable manner. In this article, single-layer nickel hydroxide (Ni(OH)2) nanosheet assisted Pt/C catalysis for the hydrogen evolution reaction (HER) in alkaline environment was investigated both in experiment and in theory. The HER activity trajectories of the hybrid catalysts correlated with composition and morphology of Ni(OH)2 were explored in-depth. By optimizing the Volmer step through addition of single-layer Ni(OH)2, this hybrid catalyst manifests a 110 % increase of the HER activity by using only 20 wt% single-layer Ni(OH)2 with lithium ion additive as compared to the state-of-the-art Pt/C catalyst. Density functional theory calculation revealed that the single-layer Ni(OH)2 behave superior adsorption ability for OH-. The single-layer Ni(OH)2 contributes to dual-improvement on both the Volmer step and the adsorption of OH- during HER.
    ACS Catalysis 05/2015; 5(6):150513124212007. DOI:10.1021/cs501835c · 7.57 Impact Factor
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    ABSTRACT: Current neoadjuvant chemoradiotherapy had limited impact on distal metastasis and survival in locally advanced rectal cancer. Here, we investigated a new sandwich-like neoadjuvant regimen with bevacizumab. This was a single-arm, open-labeled, phase II trial. Patients with locally advanced rectal cancer received sandwich-like neoadjuvant therapy with bevacizumab (induction therapy with bevacizumab and FOLFOX, concurrent chemoradiotherapy with bevacizumab and consolidation chemotherapy with FOLFOX). Surgery was performed 4-6 weeks later. The primary endpoint of this study was pathologic complete response. Twenty-five eligible patients were included. All completed the neoadjuvant therapy protocol. During the course of neoadjuvant therapy, 3 patients (12 %) had grade 4 hematological toxicity events and 12 (48 %) had grade 3 non-hematological toxicity events. According to RECIST criteria, 18 patients (72 %) achieved partial response and the rest seven patients (28 %) remained stable disease. Two patients (8 %) refused the subsequent surgical therapy for personal reasons, and 23 patients (92 %) underwent operations finally. Nine (39.1 %, 95 % CI 18.0-57.5 %) of them achieved pathologic complete response. Five of them (21.7 %) had postoperative complications. After a median follow-up period of 25.3 (14.4-40.9) months, four patients developed disease progression and two died of cancer. The 3-year overall survival rate was 95 % (95 % CI 69.5-99.3 %), and the 3-year disease-free survival rate was 72.5 % (95 % CI 33.7-90.9 %). Sandwich-like neoadjuvant therapy with bevacizumab is safe and effective for locally advanced rectal cancer.
    Cancer Chemotherapy and Pharmacology 05/2015; DOI:10.1007/s00280-015-2763-2 · 2.57 Impact Factor

Publication Stats

8k Citations
2,016.11 Total Impact Points


  • 2015
    • Dalian University of Technology
      • DUT-KTH Joint Education and Research Center on Molecular Devices
      Lü-ta-shih, Liaoning, China
  • 2014–2015
    • Anhui Agricultural University (AHAU)
      Luchow, Anhui Sheng, China
    • Nanjing Medical University
      • Key Laboratory of Reproductive Medicine
      Nan-ching, Jiangsu Sheng, China
    • Xuzhou Medical College
      Suchow, Jiangsu Sheng, China
    • Jiangsu Provincial Center for Disease Control and Prevention
      Chiang-tu, Jiangsu Sheng, China
    • Henan University
      • Laboratory of Photovoltaic Materials
      K’ai-feng-shih, Henan Sheng, China
    • East China University of Science and Technology
      Shanghai, Shanghai Shi, China
    • Universität Heidelberg
      • V. Medicine Clinic
      Heidelburg, Baden-Württemberg, Germany
  • 2013–2015
    • Jiangsu University
      • School of Chemistry and Chemical Engineering
      Chenkiang, Jiangsu Sheng, China
    • Yunnan University
      Yün-nan, Yunnan, China
    • Harbin Institute of Technology
      • Department of Transportation Engineering
      Charbin, Heilongjiang Sheng, China
    • Yunnan Agricultural University
      Panlong, Shaanxi, China
    • Kunming University of Science and Technology
      Yün-nan, Yunnan, China
    • Northwest University
      Ch’ang-an, Shaanxi, China
    • Central South University
      • State Key Laboratory of Powder Metallurgy
      Ch’ang-sha-shih, Hunan, China
    • The American Society for Biochemistry and Molecular Biology
      SCE, Pennsylvania, United States
    • King Faisal University
      • College of Agricultural and Food Sciences
      Al Hadā, Makkah, Saudi Arabia
    • East China Institute of Technology
      Yangkü, Shanxi Sheng, China
    • Chinese Academy of Agricultural Sciences
      Peping, Beijing, China
    • Beijing University of Technology
      Peping, Beijing, China
    • China Agricultural University
      • Ministry of Agriculture Key Laboratory of Plant Nutrition
      Peping, Beijing, China
  • 2010–2015
    • Shanghai Jiao Tong University
      • • Department of Plant Sciences
      • • Bio-X Institute
      • • National Engineering Laboratory for Automotive Electronic Control Technology
      • • School of Agriculture and Biology
      Shanghai, Shanghai Shi, China
    • Huaibei Normal University
      Hua-pei-ts’un, Shanxi Sheng, China
    • Shenyang University of Technology
      Feng-t’ien, Liaoning, China
    • Taiyuan University of Technology
      Yangkü, Shanxi Sheng, China
    • Chinese Center For Disease Control And Prevention
      Peping, Beijing, China
    • University of Lodz
      • Department of Immunobiology of Bacteria
      Łódź, Łódź Voivodeship, Poland
    • Jiangsu Academy of Agricultural Sciences
      Nan-ching-hsü, Jiangxi Sheng, China
    • Tianjin University
      T’ien-ching-shih, Tianjin Shi, China
  • 2009–2015
    • Hefei Institute of Physical Sciences, Chinese Academy of Sciences
      Luchow, Anhui Sheng, China
    • Shandong University
      • • Department of Chemical Engineering
      • • State Key Laboratory for Crystal Materials
      Chi-nan-shih, Shandong Sheng, China
    • Capital Medical University
      • Department of Otorhinolaryngology Head and Neck Surgery
      Peping, Beijing, China
    • Shanghai University
      Shanghai, Shanghai Shi, China
  • 2008–2015
    • Fourth Military Medical University
      • • Department of Dermatology
      • • Department of Biochemistry and Molecular Biology
      • • School of Pharmacy
      Xi’an, Liaoning, China
    • Imperial College London
      Londinium, England, United Kingdom
    • Fuzhou University
      Min-hou, Fujian, China
    • Government of the People's Republic of China
      Peping, Beijing, China
    • Technical Institute of Physics and Chemistry
      Peping, Beijing, China
    • Mechnikov Research Institute of Vaccines and Sera
      Moskva, Moscow, Russia
  • 2006–2015
    • Peking University
      • Department of Psychology
      Peping, Beijing, China
    • Beijing Centers for Disease Control and Prevention
      Peping, Beijing, China
  • 2004–2015
    • Sun Yat-Sen University
      • • Department of Oral and Maxillofacial Surgery
      • • Proteomics Lab
      • • Department of Biochemistry
      Shengcheng, Guangdong, China
    • Chinese Academy of Sciences
      • • Shenzhen Institutes of Advanced Technology
      • • State Key Laboratory of Catalysis
      • • Laboratory of DES
      • • Key Laboratory of Applied Superconductivity
      • • Key Laboratory of Computer System and Architecture
      • • Laboratory of Photosynthesis and Environmental Biology
      • • Institute of Semiconductors
      Peping, Beijing, China
  • 2003–2015
    • Nankai University
      • • TEDA School of Biological Science and Biotechnology
      • • College of Life Sciences
      T’ien-ching-shih, Tianjin Shi, China
  • 2013–2014
    • Northwest University
      KYL, Florida, United States
  • 2011–2014
    • Jinan University (Guangzhou, China)
      • School of Medicine
      Shengcheng, Guangdong, China
    • Sichuan University
      • • Department of Respiratory Medicine
      • • Department of Integrated Traditional Chinese and Western Medicine
      Hua-yang, Sichuan, China
    • Second Military Medical University, Shanghai
      Shanghai, Shanghai Shi, China
    • Beijing Institute of Microbiology and Epidemiology
      Peping, Beijing, China
    • Zhongshan Entry-Exit Inspection and Quarantine Bureau
      中山, Guangdong, China
    • Jiangnan University
      • School of Food Science and Technology
      Wu-hsi, Jiangsu Sheng, China
    • University of Macau
      Macao, Macau, Macao
    • Guangzhou University of Traditional Chinese Medicine
      Shengcheng, Guangdong, China
    • Russian Academy of Sciences
      • Zelinsky Institute of Organic Chemistry
      Moscow, Moscow, Russia
  • 2010–2014
    • Qingdao University of Science and Technology
      Tsingtao, Shandong Sheng, China
    • Zhengzhou University
      • • School of Physical Engineering
      • • Division of Pharmacy
      Cheng, Henan Sheng, China
    • University of Jinan (Jinan, China)
      Chi-nan-shih, Shandong Sheng, China
  • 2007–2014
    • Beijing University of Posts and Telecommunications
      • State Key Laboratory of Information Photonics and Optical Communications
      Peping, Beijing, China
    • Bundesinstitut für Risikobewertung
      Berlín, Berlin, Germany
    • Heilongjiang University
      • School of Chemistry and Materials Science
      Harbin, Heilongjiang Sheng, China
  • 1999–2014
    • Sun Yat-Sen University of Medical Sciences
      • Department of Surgery
      Shengcheng, Guangdong, China
  • 2012–2013
    • Xiamen University of Technology
      Amoy, Fujian, China
    • Fudan University
      • Institutes of Biomedical Sciences
      Shanghai, Shanghai Shi, China
    • Saudi Academy
      Ar Riyāḑ, Ar Riyāḑ, Saudi Arabia
    • Beijing Institute Of Technology
      Peping, Beijing, China
  • 2011–2013
    • University Town of Shenzhen
      Shen-ch’üan-shih, Zhejiang Sheng, China
  • 2010–2013
    • Beijing Genomics Institute
      Bao'an, Guangdong, China
  • 2010–2012
    • Northeastern University (Shenyang, China)
      Feng-t’ien, Liaoning, China
  • 2008–2012
    • Queen's University
      • • Division of Rheumatology
      • • Department of Chemistry
      Kingston, Ontario, Canada
  • 2007–2012
    • Zhejiang University
      • • Institute of Insect Sciences
      • • Department of Chemistry
      Hangzhou, Zhejiang Sheng, China
  • 2010–2011
    • Northeastern University
      Boston, Massachusetts, United States
    • Northeast Forestry University
      • Key Laboratory of Plant Ecology, Ministry of Education
      Charbin, Heilongjiang Sheng, China
  • 2009–2010
    • Shenyang Institute of Technology
      Feng-t’ien, Liaoning, China
  • 2008–2010
    • Tianjin University of Science and Technology
      • Faculty of Food Engineering and Biotechnology
      T’ien-ching-shih, Tianjin Shi, China
  • 2005–2010
    • Shanghai Research Institute of Chemical Industry
      Shanghai, Shanghai Shi, China
  • 2007–2009
    • China Pharmaceutical University
      • Department of Phytochemistry
      Nan-ching-hsü, Jiangxi Sheng, China
  • 2005–2008
    • Tsinghua University
      • Department of Chemical Engineering
      Peping, Beijing, China
  • 2003–2008
    • Jilin University
      • • State Key Laboratory of Inorganic Synthesis and Preparative
      • • College of Chemistry
      Yung-chi, Jilin Sheng, China
  • 2004–2005
    • Nanfang Hospital
      Shengcheng, Guangdong, China
  • 1996–2004
    • University of Sydney
      • School of Molecular Bioscience
      Sydney, New South Wales, Australia