Biomedical subjects

Jason Kang

Publications and source records attributed to Jason Kang.

4 recordsLinked to original sources

PubMed2006

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Over the last decade, gene expression microarrays have had a profound impact on biomedical research. The diversity of platforms and analytical methods available to researchers have made the comparison of data from multiple platforms challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and 'in-house' platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by quantitative real-time (QRT)-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent preprocessing, commercial arrays were more consistent than in-house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

Chromosome Mapping↗

PubMed2003

Comprehensive genome-wide comparison of DNA and RNA level scan using microarray technology for identification of candidate cancer-related genes in the HL-60 cell line.

Genome-wide scans for DNA and RNA changes in the HL-60 cell line relative to normal leukocytes were conducted. Microarray-based comparative genome hybridization (CGH) studies were performed with the Spectral Genomics Human Bacterial Artificial Chromosome (BAC) 3MB system. Transcriptional measurements of approximately 12,500 human genes were monitored using Affymetrix U95A GeneChips. In HL-60, genomic DNA amplification of the 8q24 locus, trisomy 18, and deletions at loci 5q11.2 approximately q31, 6q12, 9p21.3 approximately p22, 10p12 approximately p15, 14q22 approximately q31, 17p12 approximately p13.3, and monosomy X were detected. After obtaining locus information about the RNA transcripts from the Affymetrix database, 4368 genes were stratified both according to status of RNA expression and the DNA copy number of their designated loci. The expression level of 2326 (53.25%) of 4368 transcripts is concordant with DNA copy number. Examples of specific, highly expressed, cancer-associated genes in amplified loci include SERPINB10, MYC, TYMS, HEC, and EPB41L3, while CD14, GZMK, TCF7, FOS, MLH3, CTNNA1, IRF1, VIM, CRK, MAP3K1, STAM, MAX, SFRG5, ENC1, PURA, MNT, RASA1, GLRX, UBE2B, NR3C1, PTENP1, BS69, COPEB, SKIP, PIM2, and MIC2 represent cancer-associated genes in deleted loci with decreased expression. The complementary usage of genome-wide DNA and RNA scans should enhance the identification of candidate genes in the neoplastic process.

Adult↗

PubMed2002

Alterations in gene expression profiles during prostate cancer progression: functional correlations to tumorigenicity and down-regulation of selenoprotein-P in mouse and human tumors.

To identify molecular changes that occur during prostate tumor progression, we have characterized a series of prostate cancer cell lines isolated at different stages of tumorigenesis from C3(1)/Tag transgenic mice. Cell lines derived from low- and high-grade prostatic intraepithelial neoplasia, invasive carcinoma, and a lung metastasis exhibited significant differences in cell growth, tumorigenicity, invasiveness, and angiogenesis. cDNA microarray analysis of 8700 features revealed correlations between the tumorigenicity of the C3(1)/Tag-Pr cells and changes in the expression levels of genes regulating cell growth, angiogenesis, and invasion. Many changes observed in transcriptional regulation in this in vitro system are similar to those reported for human prostate cancer, as well as other types of human tumors. This analysis of expression patterns has also identified novel genes that may be involved in mechanisms of prostate oncogenesis or serve as potential biomarkers or therapeutic targets for prostate cancer. Examples include the L1-cell adhesion molecule, metastasis-associated gene (MTA-2), Rab-25, tumor-associated signal transducer-2 (Trop-2), and Selenoprotein-P, a gene that binds selenium and prevents oxidative stress. Many genes identified in the Pr-cell line model have been shown to be altered in human prostate cancer. The comprehensive microarray data provides a rational basis for using this model system for studies where alterations of specific genes or pathways are of particular interest. Quantitative real-time reverse transcription-PCR for Selenoprotein-P demonstrated a similar down-regulation of the transcript of this gene in a subset of human prostate tumors, mouse tumors, and prostate carcinoma cell lines. This work demonstrates that expression profiling in animal models may lead to the identification of novel genes involved in human prostate cancer biology.

Animals↗

PubMed2002

Ventral prostate predominant l, a novel mouse gene expressed exclusively in the prostate.

BACKGROUND: Despite the region-specific nature of human prostate disease, there is a paucity of information regarding the molecular basis of prostate regionalization and patterning. To elucidate genetic mechanisms that underlie prostate growth and development, we investigated differential gene expression in mouse prostate lobes. METHODS: mRNA differential display analysis was used to identify differentially expressed genes during development of ventral, anterior, and dorsolateral prostate lobes. Differential gene expression was confirmed by Northern blot analysis and RT-PCR. RESULTS: A novel gene, Ventral prostate predominant1 (Vpp1) was identified. Vpp1 mRNA was evident in all lobes but accumulated predominantly in the ventral prostate, and was detected on postnatal day 7 through adulthood exclusively in the prostate gland. The steady-state level of Vpp1 mRNA decreased markedly in response to castration, suggesting androgen regulation of Vpp1 expression. Analysis of TRAMP tumors demonstrated a dramatic decrease in the level of Vpp1 mRNA. CONCLUSIONS: The spatial distribution and early postnatal onset of Vpp1 expression is consistent with a role for this gene in prostate regionalization. The absolute prostate specificity of Vpp1 expression may allow this gene to serve as a paradigm to study the molecular basis of gene expression that is restricted exclusively to the prostate gland.

Adenocarcinoma↗