Joon-Ik Ahn

Differential gene expression in retinoic acid-induced differentiation of acute promyelocytic leukemia cells, NB4 and HL-60 cells

Acute promyelocytic leukemia (APL) is characterized by a specific chromosome translocation t(15;17), which results in the fusion of the promyelocytic leukemia gene (PML) and retinoic acid receptor alpha gene (RARalpha). APL can be effectively treated with the cell differentiation inducer all-trans retinoic acid (ATRA). NB4 cells, an acute promyelocytic leukemia cell line, have the t(15;17) translocation and differentiate in response to ATRA, whereas HL-60 cells lack this chromosomal translocation, even after differentiation by ATRA. To identify changes in the gene expression patterns of promyelocytic leukemia cells during differentiation, we compared the gene expression profiles in NB4 and HL-60 cells with and without ATRA treatment using a cDNA microarray containing 10,000 human genes. NB4 and HL-60 cells were treated with ATRA (10(-6)M) and total RNA was extracted at various time points (3, 8, 12, 24, and 48h). Cell differentiation was evaluated for cell morphology changes and CD11b expression. PML/RARalpha degradation was studied by indirect immunofluoresence with polyclonal PML antibodies. Typical morphologic and immunophenotypic changes after ATRA treatment were observed both in NB4 and HL-60 cells. The cDNA microarray identified 119 genes that were up-regulated and 17 genes that were down-regulated in NB4 cells, while 35 genes were up-regulated and 36 genes were down-regulated in HL60 cells. Interestingly, we did not find any common gene expression profiles regulated by ATRA in NB4 and HL-60 cells, even though the granulocytic differentiation induced by ATRA was observed in both cell lines. These findings suggest that the molecular mechanisms and genes involved in ATRA-induced differentiation of APL cells may be different and cell type specific. Further studies will be needed to define the important molecular pathways involved in granulocytic differentiation by ATRA in APL cells.

Ascorbic acid responsive genes during neuronal differentiation of embryonic stem cells.

Ascorbic acid has been reported to enhance differentiation of embryonic stem (ES) cells into neurons, however, the specific functions of ascorbic acid have not been defined yet. To address this issue, gene expression profiling was performed using cDNA microarray. Ascorbic acid increased the expressions of genes involved in neurogenesis, maturation, and neurotransmission. Furthermore, statistical analysis using Fishers exact test revealed ascorbic acid significantly modulated the genes involved in cell adhesion and development category. These results provide information on the role for ascorbic acid during neuronal differentiation of ES cells and might contribute to large-scale generation of neurons for future clinical treatment.

cDNA microarray analysis of differential gene expression in gastric cancer cells sensitive and resistant to 5-fluorouracil and cisplatin.

PURPOSE Gastric cancer is one of the most prevalent cancers worldwide. 5-fluorouracil (5-FU) and cisplatin are the most commonly used drugs for the treatment of gastric cancer. However, a significant number of tumors often fail to respond to chemotherapy. MATERIALS AND METHODS To better understand the molecular mechanisms underlying drug resistance in gastric cancer the gene expression in gastric cancer cells, which were either sensitive or resistant to 5-FU and cisplatin, were examined using cDNA microarray analysis. To confirm the differential gene expression, as determined using the microarray, semiquantitative RT-PCR was performed on a subset of differentially expressed cDNAs. RESULTS 69 and 45 genes, which were either up-regulated (9 and 22 genes) or down-regulated (60 and 25 genes), were identified in 5-FU- and cisplatin-resistant cells, respectively. Several genes, such as adaptor-related protein complex 1 and baculoviral IAP repeat-containing 3, were up-regulated in both drug-resistant cell types. Several genes, such as the ras homolog gene family, tropomyosin, tumor rejection antigen, protein disulfide isomerase-related protein, melanocortin 1 receptor, defensin, cyclophilin B, dual specificity phosphatase 8 and hepatocyte nuclear factor 3, were down-regulated in both drug-resistant cell types. CONCLUSION These findings show that cDNA microarray analysis can be used to obtain gene expression profiles that reflect the effect of anticancer drugs on gastric cancer cells. Such data may lead to the assigning of signature expression profiles of drug-resistant tumors, which may help predict responses to drugs and assist in the design of tailored therapeutic regimens to overcome drug resistance.

The Differential Gene Expression Profiles between Sensitive and Resistant Breast Cancer Cells to Adriamycin by cDNA Microarray

PURPOSE Adriamycin is one of the most commonly used drugs in the treatment of breast cancer. This study was performed to understand the molecular mechanisms of drug resistance in breast cancer cells. MATERIALS AND METHODS We have analyzed the MCF-7 breast cell line and its adriamycin-resistant variants, MCF-7/ADR using human 10 K element cDNA microarrays. RESULTS We defined 68 genes that were up-regulated (14 genes) or down-regulated (54 genes) in adriamycin resistant breast cancer cells. Several genes, such as G protein-coupled receptor kinase 5, phospholipase A2, guanylate cyclase 1, vimentin, matrix metalloproteinase 1 are up-regulated in drug resistant cells. Several genes, such as interferon, alpha-inducible protein 27, forkhead box M1, mitogen-activated protein kinase 6, regulator of mitotic spindle assembly 1 and tumor necrosis factor superfamily are down-regulated in adriamycin resistant cells. The altered expression of genes observed in microarray was verified by RT-PCR. CONCLUSION These findings show that cDNA microarray analysis can be used to obtain gene expression profiles reflecting the effect of anticancer drugs on breast cancer cells. Such data may lead to the assigning of signature expression profiles of drug-resistant tumors which may help predict responses to drugs and assist in the design of tailored therapeutic regimens to overcome drug resistance.