Biomedical subjects

D T W Wong

Publications and source records attributed to D T W Wong.

5 recordsLinked to original sources

PubMed2006

Expression of cell-cycle regulator CDK2-associating protein 1 (p12CDK2AP1) in transgenic mice induces testicular and ovarian atrophy in vivo.

The novel cell-cycle regulator p12(CDK2AP1) (p12) gene encodes a cyclin-dependent kinase 2 (CDK2) partner that participates in cell-cycle regulation, apoptosis, and proliferation. CDK2 has been implicated in maintenance of gonadal homeostasis, as knockout mice display reproductive abnormalities. To investigate the role of p12 in homeostasis of gonadal tissues in vivo, we generated a transgenic mouse model driven by the human keratin 14 promoter, reported to target transgene expression to gonadal tissues and also stratified epithelia. Overexpression of the transgene was associated with a gonadal atrophy phenotype in mice of both sexes, yet fertility was not impaired. Histological evaluation of testes showed seminiferous tubule degeneration and decreased tubule diameter. Female transgenic mice had small ovaries, with a higher number of atretic follicles/mm(2) as compared to control nontransgenic mice. Also observed was increased germ cell apoptosis in both sexes (TUNEL). These results suggest that overexpression of p12 leads to testicular and ovarian abnormalities, a phenotype closely related to that of cdk2-/- mice. In combination, these observations suggest that the p12/CDK2 signaling pathways are carefully orchestrated to maintain proper gonadal tissue homeostasis. We suggest that the mechanisms of this regulation may be through p12-mediated altered expression of gonadal-specific genes and apoptotic pathways.

Animals↗

PubMed2005

Identification of discrete chromosomal deletion by binary recursive partitioning of microarray differential expression data.

DNA copy number abnormalities (CNA) are characteristic of tumours, and are also found in association with congenital anomalies and mental retardation. The ultimate impact of copy number abnormalities is manifested by the altered expression of the encoded genes. We previously developed a statistical method for the detection of simple chromosomal amplification using microarray expression data. In this study, we significantly advanced those analytical techniques to allow detection of localised chromosomal deletions based on differential gene expression data. Using three cell lines with known chromosomal deletions as model system, mRNA expression in those cells was compared with that observed in diploid cell lines of matched tissue origin. Results show that genes from deleted chromosomal regions are substantially over-represented (p<0.000001 by chi2) among genes identified as underexpressed in deletion cell lines relative to normal matching cells. Using a likelihood based statistical model, we were able to identify the breakpoint of the chromosomal deletion and match with the karyotype data in each cell line. In one such cell line, our analyses refined a previously identified 10p chromosomal deletion region. The deletion region was mapped to between 10p14 and 10p12, which was further confirmed by subtelomeric fluorescence in situ hybridisation. These data show that microarray differential expression data can be used to detect and map the boundaries of submicroscopic chromosomal deletions.

Cell Line↗

PubMed2004

Quantitative analyses of Streptococcus mutans biofilms with quartz crystal microbalance, microjet impingement and confocal microscopy.

Microbial biofilm formation can be influenced by many physiological and genetic factors. The conventional microtiter plate assay provides useful but limited information about biofilm formation. With the fast expansion of the biofilm research field, there are urgent needs for more informative techniques to quantify the major parameters of a biofilm, such as adhesive strength and total biomass. It would be even more ideal if these measurements could be conducted in a real-time, non-invasive manner. In this study, we used quartz crystal microbalance (QCM) and microjet impingement (MJI) to measure total biomass and adhesive strength, respectively, of S. mutans biofilms formed under different sucrose concentrations. In conjunction with confocal laser scanning microscopy (CLSM) and the COMSTAT software, we show that sucrose concentration affects the biofilm strength, total biomass, and architecture in both qualitative and quantitative manners. Our data correlate well with previous observations about the effect of sucrose on the adherence of S. mutans to the tooth surface, and demonstrate that QCM is a useful tool for studying the kinetics of biofilm formation in real time and that MJI is a sensitive, easy-to-use device to measure the adhesive strength of a biofilm.

Journal Article↗

PubMed2004

RNA profiling of cell-free saliva using microarray technology.

Saliva, like other bodily fluids, has been used to monitor human health and disease. This study tests the hypothesis that informative human mRNA exists in cell-free saliva. If present, salivary mRNA may provide potential biomarkers to identify populations and patients at high risk for oral and systemic diseases. Unstimulated saliva was collected from ten normal subjects. RNA was isolated from the cell-free saliva supernatant and linearly amplified. High-density oligonucleotide microarrays were used to profile salivary mRNA. The results demonstrated that there are thousands of human mRNAs in cell-free saliva. Quantitative PCR (Q-PCR) analysis confirmed the present of mRNA identified by our microarray study. A reference database was generated based on the mRNA profiles in normal saliva. Our finding proposes a novel clinical approach to salivary diagnostics, Salivary Transcriptome Diagnostics (STD), for potential applications in disease diagnostics as well as normal health surveillance.

Databases, Genetic↗

PubMed2002

DNA hybridization arrays for gene expression analysis of human oral cancer.

DNA hybridization arrays permit global gene expression profiling to be done in a single experiment. The evolution and challenges of DNA hybridization arrays are reflected in the variety of experimental platforms, probe composition, hybridization/signal detection methods, and bioinformatic interpretation. In tumor biology, DNA hybridization arrays are being used for gene/gene pathway discovery, diagnosis, and therapeutic design. Similar applications are advancing our understanding of oral cancer cell biology.

Computational Biology↗