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1.
Bioinformatics ; 18(4): 566-75, 2002 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-12016054

RESUMEN

MOTIVATION: Microarray and gene chip technology provide high throughput tools for measuring gene expression levels in a variety of circumstances, including cellular response to drug treatment, cellular growth and development, tumorigenesis, among many other processes. In order to interpret the large data sets generated in experiments, data analysis techniques that consider biological knowledge during analysis will be extremely useful. We present here results showing the application of such a tool to expression data from yeast cell cycle experiments. RESULTS: Originally developed for spectroscopic analysis, Bayesian Decomposition (BD) includes two features which make it useful for microarray data analysis: the ability to assign genes to multiple coexpression groups and the ability to encode biological knowledge into the system. Here we demonstrate the ability of the algorithm to provide insight into the yeast cell cycle, including identification of five temporal patterns tied to cell cycle phases as well as the identification of a pattern tied to an approximately 40 min cell cycle oscillator. The genes are simultaneously assigned to the patterns, including partial assignment to multiple patterns when this is required to explain the expression profile. AVAILABILITY: The application is available free to academic users under a material transfer agreement. Go to http://bioinformatics.fccc.edu/ for more details.


Asunto(s)
Algoritmos , Teorema de Bayes , Modelos Genéticos , Modelos Estadísticos , Análisis de Secuencia por Matrices de Oligonucleótidos/métodos , Ciclo Celular/genética , Bases de Datos Genéticas , Regulación de la Expresión Génica , Genoma Fúngico , Cadenas de Markov , Método de Montecarlo , Reconocimiento de Normas Patrones Automatizadas , Periodicidad , Reproducibilidad de los Resultados , Saccharomyces cerevisiae/genética , Sensibilidad y Especificidad
2.
J Biol Chem ; 266(5): 3140-5, 1991 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-1993685

RESUMEN

The in vitro phosphorylation by [gamma-32P]ATP of a 34-kDa plasma membrane-associated protein (pp34) from tomato and potato is strongly enhanced in the presence of alpha-1,4-D-polygalacturonic acid (PGA) fragments (Farmer, E. E., Pearce, G., and Ryan, C. A. (1989) Proc. Natl. Acad. Sci. U. S. A. 86, 1539-1542) that activate the expression of defensive and developmental genes in plant tissues. [gamma-35S]ATP, but not [gamma-35S]GTP, has now been found to strongly label pp34 in the presence of the PGA fragments. PGA-enhanced phosphorylation of pp34 is at one or more threonine residue(s) and therefore is the product of a serine/threonine kinase. alpha-1,4-L-Polyguluronic acid (PGU) enhances thiophosphorylation of pp34, but is less effective than PGA. beta-1,4-D-Polymannuronic acid (PMA) is inactive. In vivo synthesis of proteinase inhibitors in tomato leaves in response to PGA, PGU, and PMA parallels enhancing activities in in vitro phosphorylation assays. The minimum oligogalacturonide lengths that enhance in vitro thiophosphorylation of pp34 are about 14-15 residues, which are near the minimum sizes of uronides required to elicit a variety of localized defensive and developmental responses in plants. The lengths of biologically active galacturonic acid oligomers are of the same length that form strong intermolecular complexes in solution with Ca2+. Uronide-Ca2+ complexes are proposed to be the active molecular species that initiate the signal transduction pathways regulating uronide-responsive genes.


Asunto(s)
Oligosacáridos/metabolismo , Pectinas/farmacología , Plantas/metabolismo , Adenosina Trifosfato/metabolismo , Autorradiografía , Western Blotting , Calcio/metabolismo , Membrana Celular/efectos de los fármacos , Membrana Celular/metabolismo , Electroforesis en Gel de Poliacrilamida , Guanosina Trifosfato/metabolismo , Fosforilación/efectos de los fármacos , Inhibidores de Proteasas/metabolismo
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