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Wei Jiang

Publications and source records attributed to Wei Jiang.

At least 37 records · Page 2Linked to original sources
PubMed2006

Paclitaxel nanoparticle inhibits growth of ovarian cancer xenografts and enhances lymphatic targeting.

OBJECTIVES: Ovarian cancer has the highest mortality of all the gynecologic cancers. The antitumor agent paclitaxel has been proved to be efficient in the treatment of ovarian cancer. Our study is to develop a polymeric drug delivery system for paclitaxel and determine whether paclitaxel nanoparticle can inhibit growth of ovarian carcinoma xenografts in Fisher344 (F344) rats by intraperitoneal administration. The mechanism of paclitaxel nanoparticles in rats bearing ovarian cancer has been investigated in this study. METHODS: Synthesize paclitaxel loading nanoparticle (PLA) by ultrasonic emulsification; MTT analysis identified cytotoxic activity of paclitaxel nanoparticle in vitro; rat ovarian carcinoma cells were injected into the peritoneal cavity of F344 rats. The antitumor effect of paclitaxel nanoparticle in vivo has been evaluated by measuring tumor weight and ascite volume. At the end of the procedure rats were sacrificed; tumors were excised and processed for PCNA staining, tissue terminal deoxynucleotide transferase-mediated dUTP nick and labeling assay and RT-PCR to evaluate the proliferative and apoptotic changes and cancer transfer-related gene expression induced by PLA. Paclitaxel concentration in plasma, pelvic lymph nodes, liver, and heart were determined by high-performance liquid chromatography. RESULTS: Paclitaxel nanoparticle and PTX (Cremophor) showed equivalent cytotoxic activity in vitro. In rats implanted carcinoma cells, paclitaxel nanoparticles significantly reduced tumor weight and ascites volume, and induced apoptosis of tumor cells. PLA also inhibited cell proliferation and matrix metalloproteinase 9 mRNA expression. The paclitaxel concentration of pelvic lymph nodes in PLA treated animals was 20-fold higher than that of free PTX treated animals at 48 h after intraperitoneal administration. CONCLUSION: The intraperitoneal administration of paclitaxel nanoparticle can significantly inhibit the progression of ovarian carcinoma in peritoneal cavity of female F344 rat. The paclitaxel nanoparticle is safe and lymphatic targeting.

Animals↗
PubMed2006

Prognosis of patients taking selective serotonin reuptake inhibitors before coronary artery bypass grafting.

Depression is increasingly recognized as an independent prognostic risk factor in patients with coronary artery disease and coronary artery bypass grafting (CABG). The use of selective serotonin reuptake inhibitors (SSRIs) for depression in patients with cardiac disease is becoming more prevalent. We examined the long-term outcomes of patients on SSRIs before CABG. We prospectively examined collected data in the Duke Databank for Cardiovascular Disease from January 1, 1999 to December 31, 2003. The median and maximum follow-up periods were 3 and 6 years, respectively. We screened patients who underwent CABG (n = 5,364) and excluded those who underwent simultaneous CABG and valvular surgery (n = 570). SSRI antidepressants included fluoxetine, fluvoxamine, paroxetine, sertraline, citalopram, escitalopram, venlafaxine, and clomipramine, and their use was determined from the inpatient pharmacy records during the index hospitalization. Outcomes included event-free survival from all-cause mortality, rehospitalization, and a composite end point of all-cause mortality or rehospitalization. Of 4,794 CABG-only patients, 246 (5.1%) took SSRIs before CABG. The SSRI group had a higher prevalence of diabetes, hypercholesterolemia, hypertension, cerebrovascular disease, peripheral vascular disease, and previous cardiovascular intervention. After adjustment for baseline differences, patients on SSRIs before CABG had increased risks of mortality, rehospitalization, and the composite end point (hazard ratio 1.61, 95% confidence interval 1.17 to 2.21, p = 0.003; hazard ratio 1.52, 95% confidence interval 1.30 to 1.77, p <0.0001; and hazard ratio 1.46, 95% confidence interval 1.26 to 1.70, p <0.0001, respectively). In conclusion, SSRI use before CABG was associated with a higher risk of long-term post-CABG mortality and rehospitalization. The explanation behind these findings requires further research.

Aged↗
PubMed2006

Loss of the VHR dual-specific phosphatase causes cell-cycle arrest and senescence.

Protein tyrosine phosphatases regulate important processes in eukaryotic cells and have critical functions in many human diseases including diabetes to cancer. Here, we report that the human Vaccinia H1-related (VHR) dual-specific protein tyrosine phosphatase regulates cell-cycle progression and is itself modulated during the cell cycle. Using RNA interference (RNAi), we demonstrate that cells lacking VHR arrest at the G1-S and G2-M transitions of the cell cycle and show the initial signs of senescence, such as flattening, spreading, appearance of autophagosomes, beta-galactosidase staining and decreased telomerase activity. In agreement with this notion, cells lacking VHR were found to upregulate p21(Cip-Waf1), whereas they downregulated the expression of genes for cell-cycle regulators, DNA replication, transcription and mRNA processing. Loss of VHR also caused a several-fold increase in serum-induced activation of its substrates, the mitogen-activated protein (MAP) kinases Jnk and Erk. VHR-induced cell-cycle arrest was dependent on this hyperactivation of Jnk and Erk, and was reversed by Jnk and Erk inhibition or knock-down. We conclude that VHR is required for cell-cycle progression as it modulates MAP kinase activation in a cell-cycle phase-dependent manner.

Animals↗
PubMed2006

Spatiotemporal control of spindle midzone formation by PRC1 in human cells.

We have examined the role of PRC1, a midzone-associated, microtubule bundling, Cdk substrate protein, in regulating the spatiotemporal formation of the midzone in HeLa cells. Cdk-mediated phosphorylation of PRC1 in early mitosis holds PRC1 in an inactive monomeric state. During the metaphase-to-anaphase transition, PRC1 is dephosphorylated, promoting PRC1 oligomerization. Using time-lapse video microscopy, RNA interference, 3D immunofluorescence reconstruction imaging, and rescue experiments, we demonstrate that the dephosphorylated form of PRC1 is essential for bundling antiparallel, nonkinetochore, interdigitating microtubules to establish the midzone that is necessary for cytokinesis. Our results thus indicate that PRC1 is an essential factor in controlling the spatiotemporal formation of the midzone in human cells.

CDC2 Protein Kinase↗
PubMed2006

Decision forest analysis of large-scale sib-pair identical-by-decent profiles for locating the underlying disease genes for alcoholism in human.

OBJECTIVE: To extract the relevant SNPs for alcoholism using sib-pair IBD profiles of pedigrees. METHODS: We used the ensemble decision approach, a supervised learning approach based on decision forests, to locate alcoholism relevant SNPs using genome-wide SNP data. RESULTS: Application to a publicly available large dataset of 100 simulated replicates for three American populations (http://www.gaworkshop.org/) demonstrates that the proposed approach has successfully located all of the simulated true loci. CONCLUSION: The numerical results establish the proposed decision forest analysis to be a powerful and practical alternative for large-scale family-based association study.

Alcoholism↗
PubMed2006

Structure of the liquid-vacuum interface of room-temperature ionic liquids: a molecular dynamics study.

Molecular dynamics simulations for the liquid-vacuum interface of the ionic liquid 1-ethyl-3-methylimidazolium nitrate (EMIM+/NO3-) were performed for both electronically polarizable and nonpolarizable potential energy surfaces. The interfacial structural properties, such as the oscillation in the number density profile, the orientational ordering, and the local clustering in the interfacial region, were calculated. The simulations with both the polarizable and nonpolarizable model demonstrate the existence of an inhomogeneous interfacial structure normal to the surface layer. It was found for both models that the ethyl tail group on EMIM+ is likely to protrude outward from the surface. In the outmost surface layer, the cation is likely to lie on the surface with the imidazolium ring parallel to the interface, while there is a second region with enhanced density from that in the bulk where the cation preferably slants with the imidazolium ring tending to be perpendicular to the surface. The results also reveal that the electronic polarization effect is important for the ionic liquid interface. It is found that the cation is likely to be segregated at the ionic liquid surface for the polarizable model, while for the nonpolarizable model, the anion is found to be more likely to exhibit such behavior. The surface tension of the polarizable model (58.5 +/- 0.5 mN/m) is much smaller than that of the nonpolarizable model (82.7 +/- 0.6 mN/m), in better agreement with extrapolated experimental measurements on similar ionic liquid systems.

Journal Article↗
PubMed2006

High-throughput DNA methylation profiling using universal bead arrays.

We have developed a high-throughput method for analyzing the methylation status of hundreds of preselected genes simultaneously and have applied it to the discovery of methylation signatures that distinguish normal from cancer tissue samples. Through an adaptation of the GoldenGate genotyping assay implemented on a BeadArray platform, the methylation state of 1536 specific CpG sites in 371 genes (one to nine CpG sites per gene) was measured in a single reaction by multiplexed genotyping of 200 ng of bisulfite-treated genomic DNA. The assay was used to obtain a quantitative measure of the methylation level at each CpG site. After validating the assay in cell lines and normal tissues, we analyzed a panel of lung cancer biopsy samples (N = 22) and identified a panel of methylation markers that distinguished lung adenocarcinomas from normal lung tissues with high specificity. These markers were validated in a second sample set (N = 24). These results demonstrate the effectiveness of the method for reliably profiling many CpG sites in parallel for the discovery of informative methylation markers. The technology should prove useful for DNA methylation analyses in large populations, with potential application to the classification and diagnosis of a broad range of cancers and other diseases.

Base Sequence↗
PubMed2006

The functional role of Cdc6 in S-G2/M in mammalian cells.

The Cdc6 protein is required for licensing of replication origins before the onset of DNA replication in eukaryotic cells. Here, we examined whether Cdc6 has other roles in mammalian cell-cycle progression from S to G2/M phase. Using RNA interference, we showed that depletion of Cdc6 in synchronous G1 cells blocks G1 to S transition, confirming the essential role of Cdc6 in the initiation of DNA replication. In contrast, depletion of Cdc6 in synchronous S-phase cells slowed DNA replication and led to mitotic lethality. The Cdc6-depleted S-phase cells showed fewer newly fired origins; however, established replication forks remained active, even during chromatin condensation. Despite such DNA replication abnormalities, loss of Cdc6 failed to activate Chk1 kinase. These results show that Cdc6 is not only required for G1 origin licensing, but is also crucial for proper S-phase DNA replication that is essential for DNA segregation during mitosis.

Cell Cycle Proteins↗
PubMed2006

Recognition of secondary structures in proteins by a diiron(III) complex via a hydrolytic pathway.

The diiron(III) complex Fe(2)(DTPB)(mu(2)-O)(mu(2)-OAc)Cl(BF(4))(2) [DTPB = 1,1,4,7,7-pentakis(2'-benzimidazol-2-yl-methyl)triazaheptane, OAc = acetate] exhibits a similar affinity for proteins belonging to different structural patterns. However, this diiron complex is sensitive to secondary structures in a protein when it is used to promote the protein hydrolysis, indicating that some metal complexes, such as artificial proteolytic agents, could become a new hydrolytic probe of protein structures.

Ferric Compounds↗
PubMed2006

Discovery of Time-Delayed Gene Regulatory Networks based on temporal gene expression profiling.

BACKGROUND: It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular determinants that propel and characterize the progression of versatile life phenomena, to name a few, cell cycling, developmental biology, aging, and the progressive and recurrent pathogenesis of complex diseases. The vast amount of large-scale and genome-wide time-resolved data is becoming increasing available, which provides the golden opportunity to unravel the challenging reverse-engineering problem of time-delayed gene regulatory networks. RESULTS: In particular, this methodological paper aims to reconstruct regulatory networks from temporal gene expression data by using delayed correlations between genes, i.e., pairwise overlaps of expression levels shifted in time relative each other. We have thus developed a novel model-free computational toolbox termed TdGRN (Time-delayed Gene Regulatory Network) to address the underlying regulations of genes that can span any unit(s) of time intervals. This bioinformatics toolbox has provided a unified approach to uncovering time trends of gene regulations through decision analysis of the newly designed time-delayed gene expression matrix. We have applied the proposed method to yeast cell cycling and human HeLa cell cycling and have discovered most of the underlying time-delayed regulations that are supported by multiple lines of experimental evidence and that are remarkably consistent with the current knowledge on phase characteristics for the cell cyclings. CONCLUSION: We established a usable and powerful model-free approach to dissecting high-order dynamic trends of gene-gene interactions. We have carefully validated the proposed algorithm by applying it to two publicly available cell cycling datasets. In addition to uncovering the time trends of gene regulations for cell cycling, this unified approach can also be used to study the complex gene regulations related to the development, aging and progressive pathogenesis of a complex disease where potential dependences between different experiment units might occurs.

Algorithms↗
PubMed2006

The tumor suppressor DAL-1/4.1B and protein methylation cooperate in inducing apoptosis in MCF-7 breast cancer cells.

BACKGROUND: DAL-1 (Differentially Expressed in Adenocarcinoma of the Lung)/4.1B is a member of the protein 4.1 superfamily that has been shown to suppress growth in lung, breast and brain tumor cells. In the case of the caspase-3 deficient MCF-7 breast cancer cells, this growth suppression has been shown to be partially mediated by the induction of apoptosis. However the exact mechanism of action of DAL-1/4.1B is unknown. Recently, protein arginine N-methyltransferase 3 (PRMT3) was identified as a DAL-1/4.1B interacting protein. Protein arginine methyltransferases (PRMTs) posttranslationally methylate the arginine residues of proteins, a modification which has been implicated in the regulation of multiple cellular processes including nuclear-cytoplasmic transport, signal transduction, and transcription. RESULTS: To investigate the role of protein methylation in cell death induced by DAL-1/4.1B, DAL-1/4.1B-inducible MCF-7 cells were examined for apoptosis and caspase activation in the absence and presence of the protein methylation inhibitor adenosine dialdehyde (AdOX). Flow cytometry analysis revealed that apoptosis was primarily associated with the activation of caspase 8, and inhibition of this activation blocked the ability of DAL-1/4.1B to induce cell death. CONCLUSION: These results suggest that protein methylation cooperates with DAL-1/4.1B-associated caspase 8-specific activation to induce apoptosis in breast cancer cells.

Apoptosis↗
PubMed2006

A novel model-free approach for reconstruction of time-delayed gene regulatory networks.

Reconstruction of genetic networks is one of the key scientific challenges in functional genomics. This paper describes a novel approach for addressing the regulatory dependencies between genes whose activities can be delayed by multiple units of time. The aim of the proposed approach termed TdGRN (time-delayed gene regulatory networking) is to reversely engineer the dynamic mechanisms of gene regulations, which is realized by identifying the time-delayed gene regulations through supervised decision-tree analysis of the newly designed time-delayed gene expression matrix, derived from the original time-series microarray data. A permutation technique is used to determine the statistical classification threshold of a tree, from which a gene regulatory rule(s) is extracted. The proposed TdGRN is a model-free approach that attempts to learn the underlying regulatory rules without relying on any model assumptions. Compared with model-based approaches, it has several significant advantages: it requires neither any arbitrary threshold for discretization of gene transcriptional values nor the definition of the number of regulators (k). We have applied this novel method to the publicly available data for budding yeast cell cycling. The numerical results demonstrate that most of the identified time-delayed gene regulations have current biological knowledge supports.

Algorithms↗
PubMed2006

Epidemiological analysis of group A streptococci recovered from patients in China.

Since the mid-1980s, there has been a resurgence of severe forms of invasive group A streptococcal (GAS) disease in many countries and regions. However, there has not been any systemic epidemiologic analysis of GAS disease reported in mainland China. To analyse the molecular epidemiology of GAS disease, 86 strains from patients in different regions of mainland China were collected. The collection sites included blood, pus, wounds, the epipharynx and other sites. A total of 21 different emm types were identified in the isolates. In both invasive and non-invasive isolates, M1 (29.1%) and M12 (23.3%) were the most prevalent types, a different distribution to M type distributions reported in other countries. Furthermore, minor emm gene sequence alterations were noted for six types. Several important GAS virulence factors were detected by PCR using specific primers. The speB and slo genes were detected in all isolates and were species specific. Four superantigen genes, speA, speC, smeZ and ssa, were found in 52% (45/86), 51% (44/86), 82% (71/86) and 23% (27/86) of isolates, respectively. M1 isolates harboured more speA (84%) and fewer speC genes (44%), while M12 isolates had fewer speA (35%) and more speC genes (100%). There was also an association between some virulence genes and isolation sites, perhaps due to the correlation between the emm type distribution and virulence gene occurrence. For two important virulence genes related to necrotizing fasciitis, the sil gene was only carried by 11 of 86 isolates, and no sil gene contained the start codon ATA. The sla gene rarely occurred in GAS isolates, only four of 86 GAS strains being positive, including two isolates obtained from blood. In antimicrobial susceptibility tests, the overall rate of drug resistance in GAS isolates was higher than reported rates in other countries, and the resistance rates to erythromycin, tetracycline and clindamycin were 91.8, 93.4 and 80%, respectively. This epidemiological study may help to understand the pathogenesis of GAS disease and aid in vaccine development.

Anti-Bacterial Agents↗
PubMed2006

Similarity-based online feature selection in content-based image retrieval.

Content-based image retrieval (CBIR) has been more and more important in the last decade, and the gap between high-level semantic concepts and low-level visual features hinders further performance improvement. The problem of online feature selection is critical to really bridge this gap. In this paper, we investigate online feature selection in the relevance feedback learning process to improve the retrieval performance of the region-based image retrieval system. Our contributions are mainly in three areas. 1) A novel feature selection criterion is proposed, which is based on the psychological similarity between the positive and negative training sets. 2) An effective online feature selection algorithm is implemented in a boosting manner to select the most representative features for the current query concept and combine classifiers constructed over the selected features to retrieve images. 3) To apply the proposed feature selection method in region-based image retrieval systems, we propose a novel region-based representation to describe images in a uniform feature space with real-valued fuzzy features. Our system is suitable for online relevance feedback learning in CBIR by meeting the three requirements: learning with small size training set, the intrinsic asymmetry property of training samples, and the fast response requirement. Extensive experiments, including comparisons with many state-of-the-arts, show the effectiveness of our algorithm in improving the retrieval performance and saving the processing time.

Algorithms↗
PubMed2006

Optimization of an axial flow heart pump with active and passive magnetic bearings.

Optimization of a magnetically suspended left ventricular assist device (LVAD) is crucial. We desire a totally implantable, long-life LVAD that delivers the necessary flow rate, pressure rise, and blood compatibility. By using a novel combination of passive and active magnetic bearings (AMBs), we have developed an axial flow LVAD prototype, the LEV-VAD, which provides an unobstructed blood flow path, preventing stagnation regions for the blood. Our current effort is focused on the optimization of the magnetic suspension system to allow for control of the AMB, minimizing its size and power consumption. The properties of the passive magnetic bearings and AMBs serve as parameter space, over which a cost function is minimized, subject to constraints such as suspension stability and sufficient disturbance rejection capabilities. The design process is expected to lead to the construction of a small prototype pump along with the necessary robust controller for the AMB. Sensitivity of the LVAD performance with respect to various design parameters is examined in-depth and an optimized, more compact LVAD prototype is designed.

Biomedical Engineering↗
PubMed2006

CCN1/Cyr61 is regulated by the canonical Wnt signal and plays an important role in Wnt3A-induced osteoblast differentiation of mesenchymal stem cells.

Marrow mesenchymal stem cells are pluripotent progenitors that can differentiate into bone, cartilage, muscle, and fat cells. Wnt signaling has been implicated in regulating osteogenic differentiation of mesenchymal stem cells. Here, we analyzed the gene expression profile of mesenchymal stem cells that were stimulated with Wnt3A. Among the 220 genes whose expression was significantly changed by 2.5-fold, we found that three members of the CCN family, CCN1/Cyr61, CCN2/connective tissue growth factor (CTGF), and CCN5/WISP2, were among the most significantly up-regulated genes. We further investigated the role of CCN1/Cyr61 in Wnt3A-regulated osteogenic differentiation. We confirmed that CCN1/Cyr61 was up-regulated at the early stage of Wnt3A stimulation. Chromatin immunoprecipitation analysis indicates that CCN1/Cyr61 is a direct target of canonical Wnt/beta-catenin signaling. RNA interference-mediated knockdown of CCN1/Cyr61 expression diminished Wnt3A-induced osteogenic differentiation. Furthermore, exogenously expressed CCN1/Cyr61 was shown to effectively promote mesenchymal stem cell migration. These findings suggest that tightly regulated CCN1/Cyr61 expression may play an important role in Wnt3A-induced osteoblast differentiation of mesenchymal stem cells.

Adenoviridae↗