Jing Zhao

Beijing Medical University, Peping, Beijing, China

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Publications (51)125.89 Total impact

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    ABSTRACT: A highly negatively charged borotungstic acid H5BW12O40 had been tested as homogeneous catalyst in esterification. Compared with common used H3PW12O40, it displayed a higher conversion (98.7%) and excellent efficiency (96.2%) due to its high amount of protons in methanol. In order to overcome the drawbacks of homogeneous heteropolyacid H5BW12O40, a Brønsted-surfactant-combined (C16TA)H4BW12O40 (C16TA = cetyltrimethyl ammonium) had been fabricated with strong acidity and nano-size micellar structure resulting in enhanced activity and stability during the reaction, which exhibited consistent activity during recycling in esterification reaction.
    Biomass and Bioenergy 05/2015; 76. DOI:10.1016/j.biombioe.2015.03.002 · 3.41 Impact Factor
  • PLoS ONE 05/2015; 10(5):e0126603. DOI:10.1371/journal.pone.0126603 · 3.53 Impact Factor
  • PLoS ONE 05/2015; 10(5):e0124632. DOI:10.1371/journal.pone.0124632 · 3.53 Impact Factor
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    ABSTRACT: Link prediction aims to uncover missing links or predict the emergence of future relationships according to the current networks structure. Plenty of algorithms have been developed for link prediction in unweighted networks, with only a very few of them having been extended to weighted networks. Thus far, how to predict weights of links is important but rarely studied. In this Letter, we present a reliable-route-based method to extend unweighted local similarity indices to weighted indices and propose a method to predict both the link existence and link weights accordingly. Experiments on different real networks suggest that the weighted resource allocation index has the best performance to predict the existence of links, while the reliable-route-based weighted resource allocation index performs noticeably better on weight prediction. Further analysis shows a strong correlation for both link prediction and weight prediction: the larger the clustering coefficient, the higher the prediction accuracy.
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    ABSTRACT: Centrosome amplification which is a characteristic of cancer cells, has been understood as a driving force of genetic instability in the development of cancer. In previous work, we demonstrated that TEIF (transcriptional elements-interacting factor) distributes in the centrosomes and regulates centrosome status under both physiologic and pathologic conditions. Here we identify TEIF as a downstream effector in EGF/PI3K/Akt signaling. The addition of EGF or transfection of active Akt stimulates centrosome TEIF distribution, resulting in an increase of centrosome splitting and amplification, while inhibitors of either PI3K or Akt attenuate these changes in TEIF and the associated centrosome status. A consensus motif for Akt phosphorylation (RHRVLT) proved to be involved in centrosomal TEIF localization, and the 469-threonine of this motif may be phosphorylated by Akt both in vitro and in vivo. Elimination of this phosphorylated site on TEIF caused reduced centrosome distribution and centrosome splitting or amplification. Moreover, TEIF closely co-localized with C-NAP1 at the proximal ends of centrioles, and centriolar loading of TEIF stimulated by EGF/Akt could displace C-NAP1, resulting in centrosome splitting. These findings reveal linkage of the EGF/PI3K/Akt signaling pathway to regulation of centrosome status which may act as an oncogenic pathway and induce genetic instability in carcinogenesis.
    Biochimica et Biophysica Acta 04/2014; 1843(9). DOI:10.1016/j.bbamcr.2014.04.021 · 4.66 Impact Factor
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    ABSTRACT: Computational methods play an important role in the disease genes prioritisation by integrating many kinds of data sources such as gene expression, functional annotations and protein-protein interactions. However, the existing methods usually perform well in predicting highly linked genes, whereas they work quite poorly for loosely linked genes. Motivated by this observation, a degree-adjusted strategy is applied to improve the algorithm that was proposed earlier for the prediction of disease genes from gene expression and protein interactions. The authors also showed that the modified method is good at identifying loosely linked disease genes and the overall performance gets enhanced accordingly. This study suggests the importance of statistically adjusting the degree distribution bias in the background network for network-based modelling of complex diseases.
    IET Systems Biology 04/2014; 8(2):41-46. DOI:10.1049/iet-syb.2013.0038 · 1.67 Impact Factor
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    ABSTRACT: Bmi1 has been identified as an important regulator in breast cancer, but its relationship with other signaling molecules such as ERalpha and HER2 is undetermined. The expression of Bmi1 and its correlation with ERalpha, PR, Ki-67, HER2, p16INK4a, cyclin D1 and pRB was evaluated by immunohistochemistry in a collection of 92 cases of breast cancer and statistically analyzed. Stimulation of Bmi1 expression by ERalpha or 17beta-estradiol (E2) was analyzed in cell lines including MCF-7, MDA-MB-231, ERalpha-restored MDA-MB-231 and ERalpha-knockdown MCF-7 cells. Luciferase reporter and chromatin immunoprecipitation assays were also performed. Immunostaining revealed strong correlation of Bmi1 and ERalpha expression status in breast cancer. Expression of Bmi1 was stimulated by 17beta-estradiol in ERalpha-positive MCF-7 cells but not in ERalpha-negative MDA-MB-231 cells, while the expression of Bmi1 did not alter expression of ERalpha. As expected, stimulation of Bmi1 expression could also be achieved in ERalpha-restored MDA-MB-231 cells, and at the same time depletion of ERalpha decreased expression of Bmi1. The proximal promoter region of Bmi1 was transcriptionally activated with co-transfection of ERalpha in luciferase assays, and the interaction of the Bmi1 promoter with ERalpha was confirmed by chromatin immunoprecipitation. Moreover, in breast cancer tissues activation of the ERalpha-coupled Bmi1 pathway generally correlated with high levels of cyclin D1, while loss of its activity resulted in aberrant expression of p16INK4a and a high Ki-67 index, which implied a more aggressive phenotype of breast cancer. Expression of Bmi1 is influenced by ERalpha, and the activity of the ERalpha-coupled Bmi1 signature impacts p16INK4a and cyclin D1 status and thus correlates with the tumor molecular subtype and biologic behavior. This demonstrates the important role which is played by ERalpha-coupled Bmi1 in human breast cancer.
    BMC Cancer 02/2014; 14(1):122. DOI:10.1186/1471-2407-14-122 · 3.32 Impact Factor
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    ABSTRACT: The estrogen receptor 1 (ESR1) and Chromosome 6 Open Reading Frame 97 (C6orf97) gene polymorphisms were earlier reported to be associated with osteoporosis in the European cohort. The aim of this study was to investigate the association of four single nucleotide polymorphisms (SNP) with bone mineral density (BMD), fracture, vertebral fracture, bone turnover or 25-hydroxyvitamin D [25(OH)D] in 1,753 randomly selected postmenopausal women in China. Vertebral fracture, BMD of lumbar spine (2-4), femoral neck and total hip were measured respectively. Serum N-terminal procollagen of type 1 collagen (P1NP), β-isomerized type I collagen C-telopeptide breakdown products (β-CTX) and 25(OH)D3 were also determined. Binary logistic regression revealed significant associations between fracture risk with rs1999805 (P = 0.041, OR 1.633, 95 %CI 1.020-2.616) and rs6929137 (P = 0.005, OR 1.932, 95 %CI 1.226-3.045) in recessive model. Significant association was also observed between vertebral fracture risk and rs1038304 (P = 0.039, OR 0.549, 95 %CI 0.311-0.969) in recessive model. Liner regression analyses showed that only the CC group of rs4870044 was significantly associated with total hip in dominant model (P = 0.034). Our findings suggest that ESR1 and C6orf97 gene polymorphism is associated with fracture and vertebral fracture risk in Chinese postmenopausal women.
    Molecular Biology Reports 01/2014; 41(5). DOI:10.1007/s11033-014-3186-6 · 1.96 Impact Factor
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    ABSTRACT: The mechanism for inactivation of positive regulatory domain containing I (PRDM1), a newly identified tumour suppressor gene in extranodal NK/T-cell lymphoma, nasal type (EN-NK/T-NT) has not been well defined. The aim of the present study was to investigate the expression of PRDM1 in EN-NK/T-NT and analyse its downregulation by miRNAs. PRDM1 and miRNA expression were evaluated in EN-NK/T-NT samples by immunohistochemical analysis, qRT-PCR, and in situ hybridisation. Luciferase assays were performed to verify the direct binding of miR-223 to the 3[prime]-untranslated region of PRDM1 mRNA. In addition, the effect of miR-223 on PRDM1 expression was assessed in NK/T lymphoma cell lines by transfecting a miR-223 mimic or inhibitor to increase or decrease the effective expression of miR-223. Overall survival and failure-free survival in EN-NK/T-NT patients were analysed using Kaplan-Meier single-factor analysis and the log-rank test. Investigation of the downregulation of PRDM1 in EN-NK/T-NT cases revealed that PRDM1-positive staining might be a favourable predictor of overall survival and failure-free survival in EN-NK/T-NT patients. However, the negative staining of PRDM1 usually presented transcripts, suggesting a possible post-transcriptional regulation. miR-223 and its putative target gene, PRDM1, exhibited opposite patterns of expression in EN-NK/T-NT tissues and cell lines. Moreover, PRDM1 was identified as a direct target gene of miR-223 by luciferase assays. The ectopic expression of miR-223 led to the downregulation of the PRDM1 protein in the NK/T-cell lymphoma cell line, whereas a decrease in miR-223 restored the level of PRDM1 protein. Our findings reveal that the downregulation of the tumour suppressor PRDM1 in EN-NK/T-NT samples is mediated by miR-223 and that PRDM1-positive staining might have prognostic value for evaluating the clinical outcome of EN-NK/T-NT patients.
    Journal of Experimental & Clinical Cancer Research 01/2014; 33(1):7. DOI:10.1186/1756-9966-33-7 · 3.27 Impact Factor
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    ABSTRACT: Huang-Lian-Jie-Du-Tang (HLJDT) is a classic TCM formula to clear "heat" and "poison" that exhibits antirheumatic activity. Here we investigated the therapeutic mechanisms of HLJDT at protein network level using bioinformatics approach. It was found that HLJDT shares 5 target proteins with 3 types of anti-RA drugs, and several pathways in immune system and bone formation are significantly regulated by HLJDT's components, suggesting the therapeutic effect of HLJDT on RA. By defining an antirheumatic effect score to quantitatively measure the therapeutic effect, we found that the score of each HLJDT's component is very low, while the whole HLJDT achieves a much higher effect score, suggesting a synergistic effect of HLJDT achieved by its multiple components acting on multiple targets. At last, topological analysis on the RA-associated PPI network was conducted to illustrate key roles of HLJDT's target proteins on this network. Integrating our findings with TCM theory suggests that HLJDT targets on hub nodes and main pathway in the Hot ZENG network, and thus it could be applied as adjuvant treatment for Hot-ZENG-related RA. This study may facilitate our understanding of antirheumatic effect of HLJDT and it may suggest new approach for the study of TCM pharmacology.
    Evidence-based Complementary and Alternative Medicine 11/2013; 2013:245357. DOI:10.1155/2013/245357 · 1.88 Impact Factor
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    ABSTRACT: The aim of this study was to determine the clinicopathologic significance of miR-145 and miR-143 down-regulation in endometrial cancers. The microRNA profiles were analyzed by microRNA microarray. The expression levels of miR-145 and miR-143 in 73 endometrial cancers were further determined by quantitative real-time polymerase chain reaction. Potential targets of miR-145/143 were defined. The status of DNA methyltransferase 3B (DNMT3B), mutL homologs 1, and phosphatase and tensin homolog was assessed using immunohistochemistry. miR-145 and miR-143 frequently co-down-regulated in endometrial cancers, but the expression levels varied greatly between endometrioid carcinomas (ECs) and non-ECs (NECs); they were significantly lower in ECs than in NECs (P < .05). DNMT3B was defined as a potential target of miR-145/143 by Internet algorithms. In ECs, DNMT3B overexpression occurred more often in the miR-145 and miR-143 down-regulation subgroups, and the correlation between DNMT3B and miR-145 status reached statistical significance (P = .021), whereas such phenomena were not present in NECs (P > .05). In univariate analysis, the combination of DNMT3B overexpression and miR-145 or miR-143 down-regulation was more powerful in predicting shorter survival (P < .05) than use of the biomarkers individually (P > .05). In multivariate analysis, such combination was not an independent predictor of disease-free survival (P > .05). Our findings suggest that the target and function of miR-145 and miR-143 may differ in ECs versus NECs. DNMT3B might be a potential target of miR-145 and miR-143 in ECs. Furthermore, the combined miR-145 or miR-143 and DNMT3B status may have a prognostic impact on ECs.
    Human pathology 09/2013; 44(11). DOI:10.1016/j.humpath.2013.07.002 · 2.81 Impact Factor
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    ABSTRACT: Many complex networks demonstrate a phenomenon of striking degree correlations, i.e., a node tends to link to other nodes with similar (or dissimilar) degrees. From the perspective of degree correlations, this paper attempts to characterize topological structures of urban street networks. We adopted six urban street networks (three European and three North American), and converted them into network topologies in which nodes and edges respectively represent individual streets and street intersections, and compared the network topologies to three reference network topologies (biological, technological, and social). The urban street network topologies (with the exception of Manhattan) showed a consistent pattern that distinctly differs from the three reference networks. The topologies of urban street networks lack striking degree correlations in general. Through reshuffling the network topologies towards for example maximum or minimum degree correlations while retaining the initial degree distributions, we found that all the surrogate topologies of the urban street networks, as well as the reference ones, tended to deviate from small world properties. This implies that the initial degree correlations do not have any positive or negative effect on the networks' performance or functions. Keywords: Scale free, small world, rewiring, rich club effect, reshuffle, and complex networks
    Environment and Planning B Planning and Design 08/2013; DOI:10.1068/b39110 · 1.73 Impact Factor
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    ABSTRACT: Heteropolyacids (HPAs) supported on magnetic nanoparticles (MNPs) have been prepared by a simple acid-base interaction between functionalized magnetic nanoparticles and HPAs. The surface of the catalyst had been modified by organic groups to protect the catalytic sites from destroy by water. The hybrid SiO2-MNPs-HPA consists of a core of magnetic iron oxide MNPs, silica shell, amino-silica and organic groups on the surface, which catalyzed the esterification of palmitic acid with methanol at 8.2 wt% loading to give 90.4% FFA conversion within 2 h and high TOF of 4.95×102 h-1 under mild reaction conditions. The good catalytic performance was good among the other solid acid catalysts, demonstrating the advantage of the small size of catalyst particles in reducing mass-transfer limitation and providing better accessibility of the catalyst sites on the surface of carriers for the substrates. The catalysts are easily separable from the reaction mixture under a magnetic field and showed high stability and recyclebility, with no significant loss of productivity after five cycles of esterification.
    RSC Advances 04/2013; 3(33):-. DOI:10.1039/C3RA40219C · 3.71 Impact Factor
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    ABSTRACT: Identification of novel chemotherapeutic agents from traditional medicines and elucidation of the molecular basis of their anticancer effects are critical and urgently needed for modern pharmacotherapy. We previously found that analogs of the compounds present in Valeriana jatamansi, a traditional medicine used to treat mental disorders, possess notable antitumor properties; however, the underlying molecular mechanisms have not been fully demonstrated. In this study, we evaluated the anticancer effects of IVHD-valtrate, one of the most active Valeriana jatamansi derivatives, against human ovarian cancer cells in vitro and in vivo. IVHD-valtrate inhibited the growth and proliferation of the A2780 and OVCAR-3 ovarian cancer cell lines in a concentration-dependent manner, while relatively low cytotoxicity to immortalized non-tumorigenic human ovarian surface epithelial cells (IOSE-144) was observed. Treatment with IVHD-valtrate arrested the ovarian cancer cells in the G2/M phase and induced apoptosis, and significantly suppressed the growth of A2780 and OVCAR3 xenograft tumors in a dose-dependent manner. The detailed in vitro and in vivo study on the molecular mechanisms of this compound demonstrated that IVHD-valtrate exposure modulated the expression of numerous molecules involved in cell cycle progression and apoptosis regardless of p53 status, leading to increase in the level of p53, Rb, p21, p27 and decrease in Mdm2, E2F1, Cyclin B1, Cdc25C and Cdc2. It also down-regulated Bcl-2/Bax and Bcl-2/Bad ratio and enhanced the cleavage of PARP and Caspases. Our preclinical results indicated IVHD-valtrate is a potential therapeutic agent for ovarian cancer, providing a basis for development of the compound as a novel chemotherapeutic agent.
    Current cancer drug targets 04/2013; DOI:10.2174/1568009611313040009 · 3.58 Impact Factor
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    ABSTRACT: Differential gene expression profiles for detecting disease genes have been studied intensively in systems biology. However, it is known that various biological functions achieved by proteins follow from the ability of the protein to form complexes by physically binding to each other. In other words, the functional units are often protein complexes rather than individual proteins. Thus, we seek to replace the perspective of disease-related genes by disease-related complexes, exemplifying with data on 39 human solid tissue cancers and their original normal tissues. To obtain the differential abundance levels of protein complexes, we apply an optimization algorithm to genome-wide differential expression data. From the differential abundance of complexes, we extract tissue- and cancer-selective complexes, and investigate their relevance to cancer. The method is supported by a clustering tendency of bipartite cancer-complex relationships, as well as a more concrete and realistic approach to disease-related proteomics.
    Scientific Reports 04/2013; 3:1583. DOI:10.1038/srep01583 · 5.58 Impact Factor
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    ABSTRACT: Although some evidence has been documented on EGFR/PI3K mediation of Akt activation in breast cancers, ILK and DNA-PK have not been investigated so far. The aim of this study was to analyze the expression of phosphorylated Akt (pAkt) in breast cancer, with respect to its upstream regulators. The immunostaining of pAkt (Ser473) in 70 invasive breast cancers revealed that status of CerbB2 could play a major role in Akt phosphorylation, while ILK was also involved in the stimulated level of pAkt. The results would provide an important clue for the activation of Akt and potential targeted therapy in breast cancer.
    Histology and histopathology 02/2013; · 2.24 Impact Factor
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    ABSTRACT: BACKGROUND: The recent development of antibodies specific for the major hotspot mutations in the epidermal growth factor receptor (EGFR), L858R and E746_A750del, may provide an opportunity to use immunohistochemistry (IHC) as a screening test for EGFR gene mutations. This study was designed to optimize the IHC protocol and the criteria for interpretation of the results using DNA sequencing as the gold-standard. METHODS: Tumor sections from fifty lung adenocarcinoma specimens from Chinese patients were immunostained using L858R and E746_A750del-specific antibodies using three different antigen retrieval solutions, and the results were evaluated using three different sets of criteria. The same specimens were used for DNA purification and analysis of EGFR gene mutations. RESULTS: In this study the optimal buffer for antigen retrieval was EDTA (pH 8.0), and the optimal scoring method was to call positive results when there was moderate to strong staining of membrane and/or cytoplasm in >10% of the tumor cells. Using the optimized protocol, L858R-specific IHC showed a sensitivity of 81% and a specificity of 97%, and E746_A750del-specific IHC showed a sensitivity of 59% and a specificity of 100%, both compared with direct DNA analysis. Additionally, the mutant proteins as assessed by IHC showed a more homogeneous than heterogeneous pattern of expression. CONCLUSIONS: Our data demonstrate that mutation-specific IHC, using optimized procedures, is a reliable prescreening test for detecting EGFR mutations in lung adenocarcinoma. Virtual Slides The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2059012601872392.
    Diagnostic Pathology 02/2013; 8(1):27. DOI:10.1186/1746-1596-8-27 · 2.41 Impact Factor
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    ABSTRACT: Rheumatoid arthritis (RA) is a chronic disease that affects the joints, often those in a person's wrists, fingers, and feet. In contrast to FDA-approved anti-RA drugs, Tripterygium wilfordii Hook F (TwHF), a traditional Chinese medicine (TCM), featured as multi-targeting, have been acknowledged with notable anti-RA effects although the pharmacology is unclear. In this work, we investigated the therapeutic mechanisms of TwHF at protein network level. First, RA-associated genes, the protein targets of FDA approved anti-RA drugs and TwHF were collected. Then we mapped the protein targets of TwHF on the drug-target network of FDA approved anti-RA drugs and KEGG RA pathway, based on these information and resources. Furthermore, we quantitatively analyzed the anti-rheumatic effect of TwHF and compared it with those of FDA approved anti-RA drugs by a network based anti-rheumatic effect score. Our study suggests that TwHF may function as a combination of disease-modifying anti-rheumatic drug and non-steroidal anti-inflammatory drug and its anti-rheumatic power could be comparable with that of anti-inflammatory agents. This study may facilitate our understanding of the RA treatment by TwHF from the perspective of network systems and it may suggest new approach for the study of TCM pharmacology.
    Systems Biology (ISB), 2013 7th International Conference on; 01/2013
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    ABSTRACT: Astragaloside IV (AGS-IV) is a main active ingredient of Astragalus membranaceus Bunge, a medicinal herb used for cardiovascular diseases (CVD). In this work, we investigated the therapeutic mechanisms of AGS-IV at a network level by computer-assisted target identification with the in silico inverse docking program (INVDOCK). Targets included in the analysis covered all signaling pathways thought to be implicated in the therapeutic actions of all CVD drugs approved by US FDA. A total of 39 putative targets were identified. Three of these targets, calcineurin (CN), angiotensin-converting enzyme (ACE), and c-Jun N-terminal kinase (JNK), were experimentally validated at a molecular level. Protective effects of AGS-IV were also compared with the CN inhibitor cyclosporin A (CsA) in cultured cardiomyocytes exposed to adriamycin. Network analysis of protein-protein interactions (PPI) was carried out with reference to the therapeutic profiles of approved CVD drugs. The results suggested that the therapeutic effects of AGS-IV are based upon a combination of blocking calcium influx, vasodilation, anti-thrombosis, anti-oxidation, anti-inflammation and immune regulation.
    PLoS ONE 09/2012; 7(9):e44938. DOI:10.1371/journal.pone.0044938 · 3.53 Impact Factor
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    ABSTRACT: Peripheral T- and natural killer (NK)-cell lymphomas (PTNKLs) are a heterogeneous group of lymphoid malignancies. We reclassified 142 cases and investigated their clinicopathologic features and outcome. Results showed that the most prevalent subtypes were extranodal NK/T-cell lymphoma, nasal type (eNK/T) (38.0%); angioimmunoblastic T-cell lymphoma (16.9%); and peripheral T-cell lymphoma, not otherwise specified (16.2%). Follow-up was available in 124 patients whose overall survival ranged from 3 days to 134 months, with a median of 11 months. Multivariate analysis demonstrated that thrombocytopenia (P = .001), elevated lactate dehydrogenase (P = .007), high Ki-67 index (P = .002), and T-bet expression in more than 20% of cells (P = .036) were independent factors for all cases-among which only the factor of T-bet indicated good outcome-and that thrombocytopenia (P = .011) and radiotherapy (P = .026) were significant for the eNK/T group. Thus, eNK/T was the commonest subtype in this series. The significance of T-bet in predicting outcome should be further confirmed.
    American Journal of Clinical Pathology 09/2012; 138(3):435-47. DOI:10.1309/AJCPWKJ3GPFRT7GA · 3.01 Impact Factor

Publication Stats

425 Citations
125.89 Total Impact Points

Institutions

  • 2013–2014
    • Beijing Medical University
      • Department of Pathology
      Peping, Beijing, China
  • 2012–2014
    • Peking University Health Science Center
      Peping, Beijing, China
    • Northeast Normal University
      • Department of Chemistry
      Hsin-ching, Jilin Sheng, China
    • Peking Union Medical College Hospital
      • Department of Obstetrics and Gynecology
      Peping, Beijing, China
  • 2011–2013
    • Peking University
      Peping, Beijing, China
    • Chinese Academy of Sciences
      Peping, Beijing, China
    • Chinese Academy of Medical Sciences
      Peping, Beijing, China
  • 2010–2012
    • Second Military Medical University, Shanghai
      Shanghai, Shanghai Shi, China
  • 2006–2008
    • Shanghai Jiao Tong University
      Shanghai, Shanghai Shi, China
  • 2007
    • Shanghai Center for Bioinformation Technology
      Shanghai, Shanghai Shi, China
  • 2004–2005
    • Shanghai University
      Shanghai, Shanghai Shi, China