Liliana Manzella

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Mechanisms for controlling symbiont populations are critical for maintaining the associations that exist between a host and its microbial partners. We describe here the transcriptional, metabolic, and ultrastructural characteristics of a diel rhythm that occurs in the symbiosis between the squid Euprymna scolopes and the luminous bacterium Vibrio fischeri.(More)
Recent research has demonstrated transference in social perception, defined in terms of memory and schema-triggered evaluation in relation to a new person (S. M. Andersen & A. B. Baum, 1994; S. M. Andersen & S. W. Cole, 1990; S. M. Andersen, N. S. Glassman, S. Chen, & S. W. Cole, 1995). The authors examined schema-triggered facial affect in transference,(More)
A yeast gene was found in which the derived protein sequence has similarity to human and bovine adrenodoxin reductase (Nobrega, F. G., Nobrega, M. P. and Tzagoloff, A. (1992). EMBO J. 11, 3821-3829; Lacour, T. and Dumas, B. (1996). Gene 174, 289 292), an enzyme in the mitochondrial electron transfer chain that catalyses in mammals the conversion of(More)
The light-organ symbiosis between the squid Euprymna scolopes and the luminous bacterium Vibrio fischeri offers the opportunity to decipher the hour-by-hour events that occur during the natural colonization of an animal's epithelial surface by its microbial partners. To determine the genetic basis of these events, a glass-slide microarray was used to(More)
Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative expression values. We propose a robust semiparametric method in a two-way semi-linear model (TW-SLM) for normalization of cDNA microarray data. This method does not make the usual assumptions(More)
Microarray technology allows the monitoring of expression levels of thousands of genes simultaneously. A semiparametric location and scale model is proposed to model gene expression levels for normalization and significance analysis purposes. Robust estimation based on weighted least absolute deviation regression and significance analysis based on the(More)
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