Lei Wang

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

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Publications (832)2070.97 Total impact

  • Yun Wang · Juan Han · Yingying Liu · Lei Wang · Liang Ni · Xu Tang
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    ABSTRACT: A new pH-mediated non-ligand dual cloud point extraction (NL-DCPE) was first developed for extraction Pb(II) from food samples. The NL-DCPE method includes two cloud point extraction (CPE) steps and the recycling of the copolymer. The first procedure was based on the forming of lead hydroxide at pH 9.5 and subsequent lead hydroxide was entrapped in a thermoseparating triblock copolymer [(PEO)10(PPO)23(PEO)10] (L44) phase. At second stage, the copolymer-rich phase was treated with the acidic solution, and Pb(II) was back extracted into the aqueous phase. So the problem emerging from the high viscosity of the copolymer-rich phase can be well solved. Under the optimized conditions, the extraction efficiency of 97.20% and detection limit of 1.9μgL(-1) were obtained. Moreover, the copolymer L44 was successfully recycled and reused for more than two times. This method was successfully used for analyzing Pb(II) in food samples with satisfactory recoveries in the range of 94.01-101.19%. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Food Chemistry 01/2016; 190:1130-6. DOI:10.1016/j.foodchem.2015.06.092 · 3.39 Impact Factor
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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
  • Organic Letters 08/2015; DOI:10.1021/acs.orglett.5b01912 · 6.32 Impact Factor
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    ABSTRACT: Lymph node metastasis is an important factor determining the outcome of colorectal cancer. Although epithelial-to-mesenchymal transition (EMT), TNF-α and microRNA (miRNA) have been found to play important roles in lymph node metastasis, the underlying molecular mechanism remains unclear. Here we reported that high expression of microRNA-19a (miR-19a) was associated with lymph node metastasis and played an important role in TNF-α-induced EMT in colorectal cancer (CRC) cells. We analyzed miR-19a expression in surgical tissue specimens from 11 CRC patients and 275 formalin-fixed, paraffin-embedded CRC patients. We found that miR-19a was up-regulated in CRC tissues and high expression of miR-19a was significantly associated with lymph node metastasis. We further analyzed miR-19a lymph node metastasis signature in an external validation cohort of 311 CRC cases of the TCGA. MiR-19a was found to be significantly associated with lymph node metastasis in rectal cancer. In vitro, we showed that overexpression of miR-19a in human CRC cell lines promoted cell invasion and EMT. Furthermore, miR-19a was up-regulated by TNF-α and miR-19a was required for TNF-α-induced EMT and metastasis in CRC cells. Collectively, miR-19a played an important role in mediating EMT and metastatic behavior in CRC. It may serve as a potential marker of lymph node metastasis.
    Scientific Reports 08/2015; 5:13350. DOI:10.1038/srep13350 · 5.58 Impact Factor
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    ABSTRACT: Herd immunity can potentially induce a change of circulating viruses. However, it remains largely unknown that how bacterial pathogens adapt to vaccination. In this study, Bordetella pertussis, the causative agent of whooping cough, was selected as an example to explore possible effect of vaccination on the bacterial pathogen. We sequenced and analysed the complete genomes of 40 B. pertussis strains from Finland and China, as well as 11 previously sequenced strains from the Netherlands, where different vaccination strategies have been used over the past 50 years. The results showed that the molecular clock moved at different rates in these countries and in distinct periods, which suggested that evolution of the B. pertussis population was closely associated with the country vaccination coverage. Comparative whole-genome analyses indicated that evolution in this human-restricted pathogen was mainly characterised by ongoing genetic shift and gene loss. Furthermore, 116 SNPs were specifically detected in currently circulating ptxP3-containing strains. The finding might explain the successful emergence of this lineage and its spread worldwide. Collectively, our results suggest that the immune pressure of vaccination is one major driving force for the evolution of B. pertussis, which facilitates further exploration of the pathogenicity of B. pertussis.
    Scientific Reports 08/2015; 5. DOI:10.1038/srep12888 · 5.58 Impact Factor
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    ABSTRACT: Biomarkers for predicting prognosis are critical to treating colorectal cancer (CRC) patients. We found that CSN6, a subunit of COP9 signalosome, is overexpressed in CRC samples and that CSN6 overexpression is correlated with poor patient survival. Mechanistic studies revealed that CSN6 is deregulated by epidermal growth factor receptor (EGFR) signaling, in which ERK2 binds directly to CSN6 Leu163/Val165 and phosphorylates CSN6 at Ser148. Furthermore, CSN6 regulated β-Trcp and stabilized β-catenin expression by blocking the ubiquitin-proteasome pathway, thereby promoting CRC development. High CSN6 expression was positively correlated with ERK2 activation and β-catenin overexpression in CRC samples, and inhibiting CSN6 stability with cetuximab reduced colon cancer growth. Taken together, our study's findings indicate that the deregulation of β-catenin by ERK2-activated CSN6 is important for CRC development. Copyright © 2015 Elsevier Inc. All rights reserved.
    Cancer cell 08/2015; 28(2):183-97. DOI:10.1016/j.ccell.2015.07.004 · 23.89 Impact Factor
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    ABSTRACT: Four new Amaryllidaceae alkaloids, named lycoranines C-F (1-4), together with seven known ones (5-11) were isolated from the bulbs of Lycoris radiata. Their structures with absolute configurations were elucidated by nuclear magnetic resonance, high-resolution electrospray ionization mass spectrometry, circular dichroism spectra, modified Mosher's method, and molecular modeling calculation. Compounds 6, 7, 10, and 11 exhibited a potent inhibitory effect on A549 and LoVo cells with IC50 values ranging from 3.97 ± 0.36 to 17.37 ± 1.57 µM. Georg Thieme Verlag KG Stuttgart · New York.
    Planta Medica 08/2015; DOI:10.1055/s-0035-1557743 · 2.34 Impact Factor
  • Qing Xia · Baojie Wang · Mei Liu · Keyong Jiang · Lei Wang
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    ABSTRACT: In the shrimp challenge test the Vibrio dosage, infection route, and strain are considered as risk factors that result in mortality. Assessment of Vibrio/shrimp interactions, and disease dynamics following infection by Vibrio, are useful techniques needed for detailed studies on the control of risk factors. In this paper we used an application of the Cox proportional hazard model to assess relative survival probability, estimate mortality risk, and construct a prognostic model to assess predictions of estimated time to death. Results indicate that infection route was the most important prognostic factor contributing to mortality in the challenge test (β = 3.698, P < 0.000). The shrimp infection rate following injection was found to be 40.4 times greater than that following immersion (hazard ratio (HR)=40.4; p=0.000). Our results also indicated that the HR resulting in shrimp mortality following a high dose of 10(8) cfu/shrimp was significantly greater (HR=5.9, P < 0.000), than that following a baseline dosage of 10(7) cfu/shrimp. Strain Vh was found to be more virulent than Strain Vp (HR=4.8; P <0.000). The prognostic index also indicated that the infection route is the most important prognostic factor contributing to mortality in the challenge test. Copyright © 2015. Published by Elsevier Ltd.
    Fish &amp Shellfish Immunology 08/2015; DOI:10.1016/j.fsi.2015.07.009 · 3.03 Impact Factor
  • Cen Qian · Qi Fang · Lei Wang · Gong-Yin Ye
    Toxins 08/2015; 7(8):2888-2905. DOI:10.3390/toxins7082888 · 2.48 Impact Factor
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    ABSTRACT: Long non-coding RNA, urothelial cancer associated 1 (UCA1), is reported to play a critical role in progression of carcinogenesis. In the present study, we identified differential expression of UCA1 in colorectal cancer (CRC) and paired peritumoral tissues using gene expression microarray analyses. qPCR analysis confirmed that UCA1 was upregulated in CRC (p<0.001) and the expression of UCA1 was statistically correlated with lymph node metastasis (P=0.040), distant metastasis (P=0.043) and tumor stage (P=0.010). Kaplan-Meier analysis indicated that patients with high UCA1 expression had a poor prognosis. Moreover, multivariate analysis identified UCA1 overexpression as an independent predictor for CRC. We also found that knockdown of UCA1 significantly suppressed cell proliferation and metastasis in CRC cells. Flow cytometry assays showed UCA1 silencing induced G0/G1 growth arrest and apoptosis of CRC cells. To further investigate the regulatory mechanisms of UCA1, we identified that Ets-2 bound to the UCA1 core promoter using luciferase assays. Collectively, our findings suggested that UCA1 might be an important prognostic indicator in CRC and may be a potential target for diagnosis and gene therapy.
    International Journal of Oncology 07/2015; DOI:10.3892/ijo.2015.3109 · 3.03 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
  • Ning Xu · Dengke Li · Yicheng Zhang · Lei Wang
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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: Escherichia coli strains are normally identified by the combination of their O and H (and sometimes K) antigens, and serotyping based on the antigens is believed to be crucial for clinical detection and epidemiology investigation. Two E. coli strains, G5413 and G5287, were isolated from fecal samples of female patients with diarrhea and were not agglutinated with any antisera that cover the well known O serogroups of E. coli. We elucidated the O-polysaccharide (OPS) structures and analyzed the O-antigen gene clusters of these bacteria. The OPS structure of G5413 established by monosaccharide analysis and NMR spectroscopy was found to be unique among known bacterial polysaccharide structures. The O-antigen gene cluster of this strain was sequenced and did not match sequence data with any of the 184 O serogroups that have been internationally recognized. Gene functions were tentatively assigned and were appropriate to the OPS structure. Based on these data, we suggest G5413 as a candidate for a new E. coli O serogroup. Both the OPS structure and O-antigen gene cluster of G5287 were identical to those of E. coli L-19, a candidate for another new O serogroup characterized by us recently. Recognition of these two provisional O serogroups increase the number of known O-antigen forms of E. coli to 186.
    Microbiology 07/2015; DOI:10.1099/mic.0.000136 · 2.84 Impact Factor
  • Bing-Xi Xiang · Yang Jiao · Jing Guan · Lei Wang
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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: Human body communication (HBC) using the human body as the transmission medium, which has been regarded as one of the most promising short-range communications in wireless body area networks (WBAN). Compared to the traditional wireless networks, two challenges are existed in HBC based WBAN. (1) Its sensor nodes should be energy saving since it is inconvenient to replace or recharge the battery on these sensor nodes; (2) the coordinator should be able to react dynamically and rapidly to the burst traffic triggered by sensing events. Those burst traffic conditions include vital physical signal (electrocardiogram, electroencephalogram etc.) monitoring, human motion detection (fall detection, activity monitoring, gesture recognition, motion sensing etc.) and so on. To cope with aforementioned challenges, a statistical frame based TDMA (S-TDMA) protocol with multi-constrained (energy, delay, transmission efficiency and emergency management) service is proposed in this paper. The scenarios where burst traffic is often triggered rapidly with low power consumption and low delay is handled in our proposed S-TDMA. A beacon frame with the contained synchronous and poll information is designed to reduce the possibility of collisions of request frames. A statistical frame which broadcasts the unified scheduling information is adopted to avoid packet collisions, idle listening and overhearing. Dynamic time slot allocation mechanism is presented to manage the burst traffic and reduce the active period in each beacon period. An emergency mechanism is proposed for vital signals to be transmitted. The theory analysis is proceed and the result is evaluated in the hardware platform. To verify its feasibility, S-TDMA was fully implemented on our independently-developed HBC platform where four sensor nodes and a coordinator are fastened on a human body. Experiment results show that S-TDMA costs 89.397 mJ every 20 s when the payload size is 122 bytes, 9.51% lower than Lightweight MAC (LMAC); the average data latency of S-TDMA is 6.3 ms, 7.02% lower than Preamble-based TDMA (PB-TDMA); the transmission efficiency of S-TDMA is 93.67%, 4.83% higher than IEEE 802.15.6 carrier sense multiple access/collision avoidance (CSMA/CA) protocol. With respect to the challenges of HBC based WBANs, a novel S-TDMA protocol was proposed in this paper. Compared to the traditional protocols, the results demonstrate that S-TDMA successfully meets the delay and transmission efficiency requirements of HBC while keeping a low energy consumption. We also believe that our S-TDMA protocol will promote development of HBC in wearable applications.
    BioMedical Engineering OnLine 07/2015; 14(1):65. DOI:10.1186/s12938-015-0061-1 · 1.75 Impact Factor
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    Lei Wang · Jianfeng Zhan · Zhen Jia · Rui Han
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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
  • Rui Han · Zhen Jia · Wanling Gao · Xinhui Tian · Lei Wang
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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.

Publication Stats

8k Citations
2,070.97 Total Impact Points

Institutions

  • 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
    • Northeast Petroleum University
      Sa-erh-t’u, Heilongjiang Sheng, China
    • South China Agricultural University
      Shengcheng, Guangdong, China
    • Henan University
      • Laboratory of Photovoltaic Materials
      K’ai-feng-shih, Henan Sheng, China
    • Jiangsu Provincial Center for Disease Control and Prevention
      Chiang-tu, Jiangsu Sheng, China
    • East China University of Science and Technology
      Shanghai, Shanghai Shi, China
    • Universität Heidelberg
      • V. Medicine Clinic
      Heidelburg, Baden-Württemberg, Germany
    • Xuzhou Medical College
      Suchow, Jiangsu Sheng, China
  • 2013–2015
    • Jiangsu University
      • School of Chemistry and Chemical Engineering
      Chenkiang, Jiangsu Sheng, China
    • Yunnan Agricultural University
      Panlong, Shaanxi, China
    • Northwest University
      Ch’ang-an, Shaanxi, China
    • Yunnan University
      Yün-nan, Yunnan, China
    • The American Society for Biochemistry and Molecular Biology
      SCE, Pennsylvania, United States
    • East China Institute of Technology
      Yangkü, Shanxi Sheng, China
    • Harbin Institute of Technology
      • Department of Transportation Engineering
      Charbin, Heilongjiang Sheng, China
    • Central South University
      • State Key Laboratory of Powder Metallurgy
      Ch’ang-sha-shih, Hunan, China
    • King Faisal University
      • College of Agricultural and Food Sciences
      Al Hadā, Makkah, Saudi Arabia
    • China Agricultural University
      • Ministry of Agriculture Key Laboratory of Plant Nutrition
      Peping, Beijing, China
    • Chinese Academy of Agricultural Sciences
      Peping, Beijing, China
    • Beijing University of Technology
      Peping, Beijing, China
    • Nanjing Forestry University
      Nan-ching, Jiangsu Sheng, China
  • 2011–2015
    • Jinan University (Guangzhou, China)
      • School of Medicine
      Shengcheng, Guangdong, China
    • University of Macau
      Macao, Macau, Macao
    • Zhongshan Entry-Exit Inspection and Quarantine Bureau
      中山, Guangdong, China
    • Jiangnan University
      • School of Food Science and Technology
      Wu-hsi, Jiangsu Sheng, China
    • Guangzhou University of Traditional Chinese Medicine
      Shengcheng, Guangdong, China
    • Beijing Institute of Microbiology and Epidemiology
      Peping, Beijing, China
    • Russian Academy of Sciences
      • Zelinsky Institute of Organic Chemistry
      Moscow, Moscow, Russia
  • 2010–2015
    • Zhengzhou University
      • • School of Physical Engineering
      • • Division of Pharmacy
      Cheng, Henan Sheng, China
    • 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
    • Taiyuan University of Technology
      Yangkü, Shanxi Sheng, China
    • Shenyang University of Technology
      Feng-t’ien, Liaoning, China
    • University of Lodz
      • Department of Immunobiology of Bacteria
      Łódź, Łódź Voivodeship, Poland
    • Tianjin University
      T’ien-ching-shih, Tianjin Shi, China
    • Jiangsu Academy of Agricultural Sciences
      Nan-ching-hsü, Jiangxi Sheng, China
  • 2009–2015
    • Shandong University
      • • Department of Chemical Engineering
      • • State Key Laboratory for Crystal Materials
      Chi-nan-shih, Shandong Sheng, China
    • Hefei Institute of Physical Sciences, Chinese Academy of Sciences
      Luchow, Anhui 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
    • University of Science and Technology of China
      • Hefei National Laboratory for Physical Sciences at the Microscale
      Luchow, Anhui Sheng, China
    • Imperial College London
      Londinium, England, United Kingdom
    • Government of the People's Republic of China
      Peping, Beijing, China
    • Fuzhou University
      Min-hou, Fujian, China
    • Mechnikov Research Institute of Vaccines and Sera
      Moskva, Moscow, Russia
    • Queen's University
      • Department of Chemistry
      Kingston, Ontario, Canada
    • Technical Institute of Physics and Chemistry
      Peping, Beijing, China
  • 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
    • Second Military Medical University, Shanghai
      Shanghai, Shanghai Shi, China
    • Sichuan University
      • • Department of Respiratory Medicine
      • • Department of Integrated Traditional Chinese and Western Medicine
      Hua-yang, Sichuan, China
  • 2010–2014
    • University of Jinan (Jinan, China)
      Chi-nan-shih, Shandong Sheng, China
    • Qingdao University of Science and Technology
      Tsingtao, 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
    • China Pharmaceutical University
      • Department of Phytochemistry
      Nan-ching-hsü, Jiangxi Sheng, China
    • 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
    • Kunming University of Science and Technology
      Yün-nan, Yunnan, China
  • 2005–2013
    • Shanghai Research Institute of Chemical Industry
      Shanghai, Shanghai Shi, China
  • 2010–2012
    • Northeastern University (Shenyang, China)
      Feng-t’ien, Liaoning, China
  • 2007–2012
    • Zhejiang University
      • • Institute of Insect Sciences
      • • Department of Chemistry
      Hangzhou, Zhejiang Sheng, China
  • 2010–2011
    • Northeast Forestry University
      • Key Laboratory of Plant Ecology, Ministry of Education
      Charbin, Heilongjiang Sheng, China
    • Northeastern University
      Boston, Massachusetts, United States
  • 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
  • 2005–2008
    • 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
  • 2000
    • University of Melbourne
      • Department of Microbiology and Immunology
      Melbourne, Victoria, Australia