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1.
Proc Natl Acad Sci U S A ; 108(47): 19090-5, 2011 Nov 22.
Article in English | MEDLINE | ID: mdl-22065748

ABSTRACT

Despite rapid progress in characterizing the yeast metabolic cycle, its connection to the cell division cycle (CDC) has remained unclear. We discovered that a prototrophic batch culture of budding yeast, growing in a phosphate-limited ethanol medium, synchronizes spontaneously and goes through multiple metabolic cycles, whereas the fraction of cells in the G1/G0 phase of the CDC increases monotonically from 90 to 99%. This demonstrates that metabolic cycling does not require cell division cycling and that metabolic synchrony does not require carbon-source limitation. More than 3,000 genes, including most genes annotated to the CDC, were expressed periodically in our batch culture, albeit a mere 10% of the cells divided asynchronously; only a smaller subset of CDC genes correlated with cell division. These results suggest that the yeast metabolic cycle reflects a growth cycle during G1/G0 and explains our previous puzzling observation that genes annotated to the CDC increase in expression at slow growth.


Subject(s)
Cell Division/physiology , Gene Expression Regulation, Fungal/physiology , Genes, Fungal/genetics , Metabolic Networks and Pathways/physiology , Saccharomycetales/metabolism , Gene Expression Profiling , Microarray Analysis , Oxygen Consumption/physiology , RNA, Messenger/analysis , Saccharomycetales/growth & development
2.
Mol Biol Cell ; 22(22): 4447-59, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21965290

ABSTRACT

We describe the development and characterization of a system that allows the rapid and specific induction of individual genes in the yeast Saccharomyces cerevisiae without changes in nutrients or temperature. The system is based on the chimeric transcriptional activator Gal4dbd.ER.VP16 (GEV). Upon addition of the hormone ß-estradiol, cytoplasmic GEV localizes to the nucleus and binds to promoters containing Gal4p consensus binding sequences to activate transcription. With galactokinase Gal1p and transcriptional activator Gal4p absent, the system is fast-acting, resulting in readily detectable transcription within 5 min after addition of the inducer. ß-Estradiol is nearly a gratuitous inducer, as indicated by genome-wide profiling that shows unintended induction (by GEV) of only a few dozen genes. Response to inducer is graded: intermediate concentrations of inducer result in production of intermediate levels of product protein in all cells. We present data illustrating several applications of this system, including a modification of the regulated degron method, which allows rapid and specific degradation of a specific protein upon addition of ß-estradiol. These gene induction and protein degradation systems provide important tools for studying the dynamics and functional relationships of genes and their respective regulatory networks.


Subject(s)
Gene Expression Regulation, Fungal , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Transcription Factors/metabolism , Transcriptional Activation , Estradiol/pharmacology , Galactokinase/genetics , Galactokinase/metabolism , Gene Expression Profiling , Gene Regulatory Networks , Promoter Regions, Genetic , Saccharomyces cerevisiae/growth & development , Transcription Factors/chemistry , Transcription Factors/genetics
3.
Clin Cancer Res ; 17(12): 4063-70, 2011 Jun 15.
Article in English | MEDLINE | ID: mdl-21531815

ABSTRACT

PURPOSE: Accurate identification of tissue of origin (ToO) for patients with carcinoma of unknown primary (CUP) may help customize therapy to the putative primary and thereby improve the clinical outcome. We prospectively studied the performance of a microRNA-based assay to identify the ToO in CUP patients. EXPERIMENTAL DESIGN: Formalin-fixed paraffin-embedded (FFPE) metastatic tissue from 104 patients was reviewed and 87 of these contained sufficient tumor for testing. The assay quantitates 48 microRNAs and assigns one of 25 tumor diagnoses by using a biologically motivated binary decision tree and a K-nearest neighbors (KNN). The assay predictions were compared with clinicopathologic features and, where suitable, to therapeutic response. RESULTS: Seventy-four of the 87 cases were processed successfully. The assay result was consistent or compatible with the clinicopathologic features in 84% of cases processed successfully (71% of all samples attempted). In 65 patients, pathology and immunohistochemistry (IHC) suggested a diagnosis or (more often) a differential diagnosis. Out of those, the assay was consistent or compatible with the clinicopathologic presentation in 55 (85%) cases. Of the 9 patients with noncontributory IHC, the assay provided a ToO prediction that was compatible with the clinical presentation in 7 cases. CONCLUSIONS: In this prospective study, the microRNA diagnosis was compatible with the clinicopathologic picture in the majority of cases. Comparative effectiveness research trials evaluating the added benefit of molecular profiling in appropriate CUP subsets are warranted. MicroRNA profiling may be particularly helpful in patients in whom the IHC profile of the metastasis is nondiagnostic or leaves a large differential diagnosis.


Subject(s)
Carcinoma/diagnosis , Carcinoma/secondary , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , MicroRNAs/genetics , Neoplasms, Unknown Primary/diagnosis , Adult , Aged , Aged, 80 and over , Antineoplastic Agents/therapeutic use , Carcinoma/genetics , Decision Trees , Female , Humans , Male , Middle Aged , Neoplasms, Unknown Primary/drug therapy , Neoplasms, Unknown Primary/genetics , Prospective Studies , Treatment Outcome , Young Adult
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