PubMed · 9432723
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R Sikorski, R Peters. 1997-12-19. Capturing genes.. https://pubmed.ncbi.nlm.nih.gov/9432723/
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Functional genomics approaches, which use combined computational and expression-based analyses of large amounts of sequence information, are emerging as powerful tools to accelerate the comprehensive understanding of cellular metabolism in specialized tissues and whole organisms. As part of an ongoing effort to identify genes of essential oil (monoterpene) biosynthesis, we have obtained sequence information from 1,316 randomly selected cDNA clones, or expressed sequence tags (ESTs), from a peppermint (Mentha x piperita) oil gland secretory cell cDNA library. After bioinformatic selection, candidate genes putatively involved in essential oil biosynthesis and secretion have been subcloned into suitable expression vectors for functional evaluation in Escherichia coli. On the basis of published and preliminary data on the functional properties of these clones, it is estimated that the ESTs involved in essential oil metabolism represent about 25% of the described sequences. An additional 7% of the recognized genes code for proteins involved in transport processes, and a subset of these is likely involved in the secretion of essential oil terpenes from the site of synthesis to the storage cavity of the oil glands. The integrated approaches reported here represent an essential step toward the development of a metabolic map of oil glands and provide a valuable resource for defining molecular targets for the genetic engineering of essential oil formation.
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The PTEN/MMAC1 gene, located on human chromosome 10q23, has recently been implicated as a candidate tumor suppressor gene in human cancers. In the present study, 12 uterine cancer cell lines and 87 uterine cancers of various grades and histological type were analyzed for PTEN/MMAC1 gene. Three of 44 endometrial carcinoma (7%) showed no PTEN/MMAC1 mRNA expression by RT-PCR analysis. Sequencing analysis of entire coding region of PTEN/MMAC1 gene revealed mutations in three of six endometrial cancer cell lines (50%) and 17 of 44 endometrial cancer tissues (39%). In contrast, for cervical cancers, only one of six cancer cell lines (2%) showed mutation, and one of 43 cancer tissues (2%) had an abnormality. Overall, 36% of the abnormal spots were located in exon 5, 24% were in exon 8, 16% were in exon 3, and 8% were in exon 6, and single cases of abnormality were found in exons 1, 4, and 7. Our results revealed that, in total, 60% of abnormalities were clustered in exons 5 and 8. Exon 5 is a functional domain of the PEN/MMAC1 gene, and therefore, abnormalities in this region may be important for loss of PTEN/MMAC1 gene function. Finally, we found a high frequency of PTEN/MMAC1 gene abnormalities in endometrial carcinomas but a low frequency in cervical carcinomas. These findings suggest that disruption of PTEN/MMAC1 by mutation or absence of expression may contribute to the pathogenesis or neoplastic evolution in a large proportion of endometrial carcinomas but in a small proportion of cervical carcinomas.