Biomedical subjects

Ha Jin Jeong

Publications and source records attributed to Ha Jin Jeong.

5 recordsLinked to original sources

PubMed2007

Identification of genes with correlated patterns of variations in DNA copy number and gene expression level in gastric cancer.

To identify DNA copy number changes that had a direct influence on mRNA expression in gastric cancer, cDNA microarray-based comparative genomic hybridization (aCGH) and gene expression profiling were performed using 17 K cDNA microarrays. A set of 158 genes showing Pearson correlation coefficients over 0.6 between DNA copy number changes and mRNA expression level variations was selected. In an independent gene expression profiling of 60 tissue samples, the 158 genes were able to distinguish most of the normal and tumor tissues in an unsupervised hierarchical clustering, suggesting that the differential expression patterns displayed by this specific group of genes are most likely based on the gene copy number changes. Furthermore, 43 statistically significant (P<0.01) genes were selected that correctly distinguished all of the tissue samples. The copy number changes detected by aCGH can be verified by fluorescence in situ hybridization and real-time polymerase chain reaction. The selected genes include those that were previously identified as being tumor suppressors or deleted in various tumors, including GATA binding protein 4 (GATA4), monoamine oxidase A (MAOA), cyclin C (CCNC), and oncogenes including malignant fibrous histiocytoma amplified sequence 1 (MFHAS1/MASL1), high mobility group AT-hook 2 (HMGA2), PPAR binding protein (PPARBP), growth factor receptor-bound protein 7 (GRB7), and TBC1 (tre-2, BUB2, cdc16) domain family, member 1 (TBC1D1).

Cluster Analysis↗

PubMed2006

Systematic analysis of cDNA microarray-based CGH.

cDNA microarray-based CGH (Microarray-CGH) is a useful technique for detecting genomic aberrations with a high resolution. However, the criteria for determining a genomic alteration have not been determined. We evaluated the genome-wide measurement of copy number of each gene in normal gastric and placenta tissues with both sex-matched, direct and sex-mismatched, indirect designs using 17K cDNA microarray. The results revealed the range of genomic copy number of normal tissues to be +/-0.3 of the log(2) ratio (gain >0.3, loss <-0.3) in the autosomal genes with direct and indirect designs. The copy number at a gene level from the X chromosomal genes using the direct and indirect sex-mismatched designs was +/-0.68 of the log(2) ratio (amplification >0.68, deletion <-0.68). In summary, the suggested method can be used as a guideline for analysis of genomic aberration using a Microarray-CGH in both direct and indirect designs.

Chromosomes, Human↗

PubMed2005

Gene copy number change events at chromosome 20 and their association with recurrence in gastric cancer patients.

PURPOSE: This study examined the gene copy number change events at chromosome 20 in gastric cancer, and their possible relationship with recurrence using cDNA microarray-based comparative genomic hybridization. EXPERIMENTAL DESIGN: Thirty pairs of gastric tumor and normal gastric tissues were used in the cDNA microarray-based comparative genomic hybridization. The cDNA microarrays containing 17,000 sequence-verified human gene probes were used in a direct comparison design, where genomic DNAs from the normal and tumor tissues were labeled with fluorescent dyes Cy3 and Cy5, respectively, and cohybridized. Genes with log(2) (Cy5/Cy3) > or = 0.58 in at least one case were selected as the amplified genes. In order to search for the association between gene copy number changes and the recurrence status, patients were grouped according to their recurrence status. Gene selection between the two groups was done, and each patient was given a score based on the sum of the selected genes' ratios. Logistic regression analysis was carried out in order to determine if the score of a group of patients was correlated with a recurrence. RESULTS: A group of genes including NCOA6, CYP24A1, PTPN1, and ZNF217 was amplified in gastric cancer. Another group of 39 genes, whose sum of copy number change levels was significantly associated with a poor prognosis for recurrence, was selected (P < 0.05). CONCLUSION: Ninety-six amplified genes at chromosome 20 of gastric cancer are reported. A scoring system based on gene copy changes at chromosome 20 can provide an independent patient grouping system that can distinguish patient recurrence status and survival.

Aged↗

PubMed2005

Determination of genes related to gastrointestinal tract origin cancer cells using a cDNA microarray.

PURPOSE: We evaluated the genome-wide gene expression profiles of various cancer cell lines to identify the gastrointestinal tract cancer cell-related genes. EXPERIMENTAL DESIGN: Gene expression profilings of 27 cancer cell lines and 9 tissues using 7.5K human cDNA microarrays in indirect design with Yonsei reference RNA composed of 11 cancer cell line RNAs were done. The significant genes were selected using significant analysis of microarray in various sets of data. The selected genes were validated using real-time PCR analysis. RESULTS: After intensity-dependent, within-print-tip normalization by loess method, we observed that expression patterns of cell lines and tissues were substantially different, divided in two discrete clusters. Next, we selected 115 genes that discriminate gastrointestinal cancer cell lines from others using significant analysis of microarray. Among the expression profiles of five gastric cancer cell lines, 66 genes were identified as differentially expressed genes related to metastatic phenotype. YCC-16, which was established from the peripheral blood of one advanced gastric cancer patient, produced a unique gene expression pattern resembling the profiles of lymphoid cell lines. Quantitative real-time reverse transcription-PCR results of selected genes, including PXN, KRT8, and ITGB5, were correlated to microarray data and successfully discriminate the gastrointestinal tract cancer cell lines from hematologic malignant cell lines. CONCLUSIONS: A gene expression database could serve as a useful source for the further investigation of cancer biology using the cell lines.

Cell Line, Tumor↗

PubMed2004

Fabrication of high quality cDNA microarray using a small amount of cDNA.

DNA microarray technology has become an essential part of biological research. It enables the genome-scale analysis of gene expression in various types of model systems. Manufacturing high quality cDNA microarrays of microdeposition type depends on some key factors including a printing device, spotting pins, glass slides, spotting solution, and humidity during spotting. UsingEthe Microgrid II TAS model printing device, this study defined the optimal conditions for producing high density, high quality cDNA microarrays with the least amount of cDNA product. It was observed that aminosilane-modified slides were superior to other types of surface modified-slides. A humidity of 30+/-3% in a closed environment and the overnight drying of the spotted slides gave the best conditions for arraying. In addition, the cDNA dissolved in 30% DMSO gave the optimal conditions for spotting compared to the 1X ArrayIt, 3X SSC and 50% DMSO. Lastly, cDNA in the concentration range of 100-300 ng/ micro l was determined to be best for arraying and post-processing. Currently, the printing system in this study yields reproducible 9000 spots with a spot size 150 mm diameter, and a 200 nm spot spacing.

DNA, Complementary↗