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Wang C.,Chengdu Sport University | Duan S.,Shenzhen Research Institute of Population and Family Planning | Lv G.,Guangzhou Institute of Forensic Science | Lai X.,Guangdong Medical College | And 6 more authors.
Forensic Science International

Whole exome sequencing (WES) and bioinformatics analysis were used to investigate potential disease- causing gene mutations in a sudden unexplained death syndrome (SUDS) case after autopsy and pathology tests failed to suggest an obvious disease mechanism. Following whole exome sequencing, a 3-step bioinformatics filtering procedure was carried out to identify possible pathogenic genomic features. Single nucleotide variations (SNVs) were analyzed and ranked by likely mutation impact using various open online tools. After screening, we identified G643S as a putative causative heterozygous mutation in the KCNQ1 gene. This mutation has been reported in abnormalities consistent with SUDS, such as IKs in cardiac myocytes, a condition that predisposes for arrhythmias. Our work demonstrates the application of sequencing technology at the whole exome level for determining potential causes of an otherwise unexplained death. © 2015 Elsevier Ireland Ltd. Source

Wang Z.,Hong Kong University of Science and Technology | Hong W.-X.,Shenzhen Research Institute of Population and Family Planning | Sun J.,Hong Kong University of Science and Technology
Current Organic Chemistry

Catalytic enantioselective desymmetrization of meso-aziridines and azetidines is a powerful strategy for rapid synthesis of chiral building blocks. This review summarizes the progress in the development of these reactions by organocatalysis. © 2016 Bentham Science Publishers. Source

Yin F.,Kunming Medical University | Xu Z.,Chinese University of Hong Kong | Wang Z.,Chinese University of Hong Kong | Yao H.,Chinese University of Hong Kong | And 11 more authors.
Biochemical and Biophysical Research Communications

Chemokine CC-motif receptor-like 2 (CCRL2) is a 7-transmembrane G protein-coupled receptor which plays a key role in lung dendritic cell trafficking to peripheral lymph nodes. The function and expression of CCRL2 in cancer is not understood at present. Here we report that CCRL2 expression level is elevated in human glioma patient samples and cell lines. The magnitude of increase is positively associated with increasing tumor grade, with the highest level observed in grade IV glioblastoma. By gain-of-function and loss-of-function studies, we further showed that CCRL2 did not regulate the growth of human glioblatoma U87 and U373 cells. Importantly, we demonstrated that over-expression of CCRL2 significantly enhanced the migration rate and invasiveness of the glioblastoma cells. Taken together, these results suggest for the first time that elevated CCRL2 in glioma promotes cell migration and invasion. The potential roles of CCRL2 as a novel therapeutic target and biomarker warrant further investigations. © 2012 Elsevier Inc. Source

Wong Y.F.,Hong Kong University of Science and Technology | Wang Z.,Hong Kong University of Science and Technology | Hong W.-X.,Shenzhen Research Institute of Population and Family Planning | Sun J.,Hong Kong University of Science and Technology

A one-pot oxidation/cycloaddition cascade for the synthesis of 2,4-diaryl chromans is developed. The reaction involves in situ oxidative generation of the unstable o-quinone methides followed by endo selective [4+2] cycloaddition with styrenes. © 2015 Elsevier Ltd. Source

Qiu S.,Sun Yat Sen University | Qiu S.,East Tennessee State University | Lin S.,Shenzhen Research Institute of Population and Family Planning | Hu D.,East Tennessee State University | And 4 more authors.
Journal of Translational Medicine

Background: Glioblastoma multiforme (GBM) is the most common and aggressive brain tumor with poor clinical outcome. Identification and development of new markers could be beneficial for the diagnosis and prognosis of GBM patients. Deregulation of microRNAs (miRNAs or miRs) is involved in GBM. Therefore, we attempted to identify and develop specific miRNAs as prognostic and predictive markers for GBM patient survival.Methods: Expression profiles of miRNAs and genes and the corresponding clinical information of 480 GBM samples from The Cancer Genome Atlas (TCGA) dataset were downloaded and interested miRNAs were identified. Patients' overall survival (OS) and progression-free survival (PFS) associated with interested miRNAs and miRNA-interactions were performed by Kaplan-Meier survival analysis. The impacts of miRNA expressions and miRNA-interactions on survival were evaluated by Cox proportional hazard regression model. Biological processes and network of putative and validated targets of miRNAs were analyzed by bioinformatics.Results: In this study, 6 interested miRNAs were identified. Survival analysis showed that high levels of miR-326/miR-130a and low levels of miR-323/miR-329/miR-155/miR-210 were significantly associated with long OS of GBM patients, and also showed that high miR-326/miR-130a and low miR-155/miR-210 were related with extended PFS. Moreover, miRNA-323 and miRNA-329 were found to be increased in patients with no-recurrence or long time to progression (TTP). More notably, our analysis revealed miRNA-interactions were more specific and accurate to discriminate and predict OS and PFS. This interaction stratified OS and PFS related with different miRNA levels more detailed, and could obtain longer span of mean survival in comparison to that of one single miRNA. Moreover, miR-326, miR-130a, miR-155, miR-210 and 4 miRNA-interactions were confirmed for the first time as independent predictors for survival by Cox regression model together with clinicopathological factors: Age, Gender and Recurrence. Plus, the availability and rationality of the miRNA-interaction as predictors for survival were further supported by analysis of network, biological processes, KEGG pathway and correlation analysis with gene markers.Conclusions: Our results demonstrates that miR-326, miR-130a, miR-155, miR-210 and the 4 miRNA-interactions could serve as prognostic and predictive markers for survival of GBM patients, suggesting a potential application in improvement of prognostic tools and treatments. © 2013 Qiu et al.; licensee BioMed Central Ltd. Source

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