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Grace A Maresh

Publications and source records attributed to Grace A Maresh.

2 recordsLinked to original sources

Establishment and characterization of a primary androgen-responsive African-American prostate cancer cell line, E006AA.

BACKGROUND: Establishment of human prostate cancer cell lines is essential to advance our understanding of complex processes associated with the initiation and progression of the disease. In the present study, we report the establishment of a primary African-American prostate cancer cell line (E006AA) as well as its associated stromal cells (S006AA). METHODS: E006AA cell line was established as a spontaneously immortalized cells from a patient with a clinically localized prostate cancer. Extensive characterization of the cells was accomplished using androgen-dependent growth and sensitivity assays, Western analyses, RT-PCR/real-time PCR, cytogenetic analyses, and tumorigenicity in nude mice. RESULTS: E006AA cell line shows androgen-dependent growth, expresses PSA and the androgen receptor (AR) with 26 CAG repeats in exon 1 of AR. Cytogenetic analyses revealed a hypertriploid karyotype with additional numerical gains in chromosomes 5, 6, 8, 10, 17, 20, 21 and a marker chromosome of unknown origin as well as structural abnormalities in chromosomes 4, 5, 8, 9, 11-14, 18, and 20. This cell line is not tumorigenic in nude mice. S006AA cell line, isolated from the same tumor specimen, also expresses AR and shows the morphological characteristics of smooth muscle cells of prostatic stroma. CONCLUSIONS: These cell lines are the first available primary epithelial and stromal cells derived from an African-American patient with organ-confined prostate cancer and in conjunction with other established cell lines, could provide an in vitro model system to investigate early transforming events in prostate cancer.

Black or African American↗

Comparison of different microarray data analysis programs and description of a database for microarray data management.

Data analysis and management represent a major challenge for gene expression studies using microarrays. Here, we compare different methods of analysis and demonstrate the utility of a personal microarray database. Gene expression during HIV infection of cell lines was studied using Affymetrix U-133 A and B chips. The data were analyzed using Affymetrix Microarray Suite and Data Mining Tool, Silicon Genetics GeneSpring, and dChip from Harvard School of Public Health. A small-scale database was established with FileMaker Pro Developer to manage and analyze the data. There was great variability among the programs in the lists of significantly changed genes constructed from the same data. Similarly choices of different parameters for normalization, comparison, and standardization greatly affected the outcome. As many probe sets on the U133 chip target the same Unigene clusters, the Unigene information can be used as an internal control to confirm and interpret the probe set results. Algorithms used for the determination of changes in gene expression require further refinement and standardization. The use of a personal database powered with Unigene information can enhance the analysis of gene expression data.

Database Management Systems↗