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1.
Circulation ; 112(25): 3868-75, 2005 Dec 20.
Article in English | MEDLINE | ID: mdl-16344383

ABSTRACT

BACKGROUND: Recognition of myocardial ischemia is critical both for the diagnosis of coronary artery disease and the selection and evaluation of therapy. Recent advances in proteomic and metabolic profiling technologies may offer the possibility of identifying novel biomarkers and pathways activated in myocardial ischemia. METHODS AND RESULTS: Blood samples were obtained before and after exercise stress testing from 36 patients, 18 of whom demonstrated inducible ischemia (cases) and 18 of whom did not (controls). Plasma was fractionated by liquid chromatography, and profiling of analytes was performed with a high-sensitivity electrospray triple-quadrupole mass spectrometer under selected reaction monitoring conditions. Lactic acid and metabolites involved in skeletal muscle AMP catabolism increased after exercise in both cases and controls. In contrast, there was significant discordant regulation of multiple metabolites that either increased or decreased in cases but remained unchanged in controls. Functional pathway trend analysis with the use of novel software revealed that 6 members of the citric acid pathway were among the 23 most changed metabolites in cases (adjusted P=0.04). Furthermore, changes in 6 metabolites, including citric acid, differentiated cases from controls with a high degree of accuracy (P<0.0001; cross-validated c-statistic=0.83). CONCLUSIONS: We report the novel application of metabolomics to acute myocardial ischemia, in which we identified novel biomarkers of ischemia, and from pathway trend analysis, coordinate changes in groups of functionally related metabolites.


Subject(s)
Metabolism/physiology , Myocardial Ischemia/diagnosis , Adenosine Monophosphate/metabolism , Aged , Biomarkers/blood , Biomarkers/metabolism , Case-Control Studies , Chromatography, High Pressure Liquid , Citric Acid/metabolism , Exercise Test , Female , Humans , Lactic Acid/blood , Male , Middle Aged , Muscle, Skeletal/metabolism , Risk , Spectrometry, Mass, Electrospray Ionization
2.
Genetics ; 168(4): 2141-55, 2004 Dec.
Article in English | MEDLINE | ID: mdl-15611182

ABSTRACT

In one of the longest-running experiments in biology, researchers at the University of Illinois have selected for altered composition of the maize kernel since 1896. Here we use an association study to infer the genetic basis of dramatic changes that occurred in response to selection for changes in oil concentration. The study population was produced by a cross between the high- and low-selection lines at generation 70, followed by 10 generations of random mating and the derivation of 500 lines by selfing. These lines were genotyped for 488 genetic markers and the oil concentration was evaluated in replicated field trials. Three methods of analysis were tested in simulations for ability to detect quantitative trait loci (QTL). The most effective method was model selection in multiple regression. This method detected approximately 50 QTL accounting for approximately 50% of the genetic variance, suggesting that >50 QTL are involved. The QTL effect estimates are small and largely additive. About 20% of the QTL have negative effects (i.e., not predicted by the parental difference), which is consistent with hitchhiking and small population size during selection. The large number of QTL detected accounts for the smooth and sustained response to selection throughout the twentieth century.


Subject(s)
Corn Oil/genetics , Seeds/metabolism , Selection, Genetic , Zea mays/genetics , Computer Simulation , Corn Oil/metabolism , Epistasis, Genetic , Genes, Dominant , Genetic Markers , Genetic Variation , Linkage Disequilibrium , Phenotype , Quantitative Trait Loci , Regression Analysis , Zea mays/metabolism
3.
Genes Dev ; 16(13): 1659-71, 2002 Jul 01.
Article in English | MEDLINE | ID: mdl-12101124

ABSTRACT

In the absence of Spo13, budding yeast cells complete a single meiotic division during which sister chromatids often separate. We investigated the function of Spo13 by following chromosomes tagged with green fluorescent protein. The occurrence of a single division in spo13Delta homozygous diploids depends on the spindle checkpoint. Eliminating the checkpoint accelerates meiosis I in spo13Delta cells and allows them to undergo two divisions in which sister chromatids often separate in meiosis I and segregate randomly in meiosis II. Overexpression of Spo13 and the meiosis-specific cohesin Rec8 in mitotic cells prevents separation of sister chromatids despite destruction of Pds1 and activation of Esp1. This phenotype depends on the combined overexpression of both proteins and mimics one aspect of meiosis I chromosome behavior. Overexpressing the mitotic cohesin, Scc1/Mcd1, does not substitute for Rec8, suggesting that the combined actions of Spo13 and Rec8 are important for preventing sister centromere separation in meiosis I.


Subject(s)
Centromere , Fungal Proteins/physiology , Meiosis/physiology , Nuclear Proteins/physiology , Saccharomyces cerevisiae Proteins , Saccharomyces cerevisiae/cytology , Base Sequence , Cell Cycle Proteins , Chromatids , Chromosomal Proteins, Non-Histone , DNA Primers , Cohesins
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