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1.
Mol Urol ; 3(1): 17-23, 1999.
Article in English | MEDLINE | ID: mdl-10851292

ABSTRACT

Prolactin stimulates citrate accumulation in prostate cells by increasing the expression of mitochondrial aspartate aminotransferase (mAAT). In this study, we further investigated the mechanism of prolactin regulation of mAAT expression in rat lateral prostate and LNCaP and PC-3 prostate cancer cells. Prolactin and 12-O-tetra-decanoylphorbol 13-acetate (TPA) increased the mAAT mRNA level twofold to fourfold. In addition, prolactin and TPA increased protein kinase C (PKC) activity in prostate cells 20% to 60% and 40% to 210%, respectively. The effects of both prolactin and TPA on mAAT mRNA were eliminated by downregulation of PKC. The effect of prolactin and TPA on gene transcription was determined using mAAT-chloramphenicol acetyltransferase (CAT) reporter-gene constructs, transiently transfected into PC-3 cells. The 59 untranslated region of the precursor form (pmAAT) of the mAAT gene contains five sequences that are homologous to the consensus TPA response elements (TRE). Reporter constructs with various combinations of these sequences were used to assay prolactin stimulation of CAT transcription in PC-3 cells. Prolactin increased CAT expression in PC-3 cells transfected with a reporter gene containing four of the TRE consensus sequences. Another CAT reporter gene, which contained two of the putative TREs, was also stimulated by prolactin, but a third reporter, containing the two other TRE sequences, was not induced by prolactin. These results suggest that prolactin regulates mAAT at the transcriptional level. Moreover, because both prolactin and TPA induced PKC activity, and because the effects of prolactin and TPA were eliminated when PKC was downregulated, we postulate that the prolactin effect on mAAT expression is mediated via the diacylglycerol PKC signal transduction pathway in rat lateral prostate and human prostate cancer cells.

2.
Microb Ecol ; 38(4): 377-386, 1999 Nov.
Article in English | MEDLINE | ID: mdl-10758184

ABSTRACT

Randomly amplified polymorphic DNA (RAPD) fingerprinting was used to determine the genetic similarity of whole-community DNA extracts from unattached microorganisms in several groundwater wells. The study site was a shallow coastal plain aquifer on the Eastern Shore of Virginia that contains distinct regions of anaerobic and aerobic groundwater. Several wells in each region were sampled, and principal component and cluster analyses showed a clear separation of the microbial communities from the two chemical zones of the aquifer. Within these zones, there was no relationship between the genetic relatedness of a pair of communities and their spatial separation. Two additional sets of samples were taken at later times, and the same clear separation between communities in the different zones of the aquifer was observed. The specific relationships between wells within each zone changed over time, however, and the magnitude and direction of these changes corresponded to concurrent changes in the groundwater chemistry at each well. Together, these results suggest that local variation in groundwater chemistry can support genetically distinct microbial communities, and that the composition of the microbial communities can follow seasonal fluctuations in groundwater chemistry.

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