Browsing by Subject "DNA Probes"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Restricted Comparison of pattern detection methods in microarray time series of the segmentation clock.(PLoS One, 2008-08-06) Dequéant, Mary-Lee; Ahnert, Sebastian; Edelsbrunner, Herbert; Fink, Thomas MA; Glynn, Earl F; Hattem, Gaye; Kudlicki, Andrzej; Mileyko, Yuriy; Morton, Jason; Mushegian, Arcady R; Pachter, Lior; Rowicka, Maga; Shiu, Anne; Sturmfels, Bernd; Pourquié, OlivierWhile genome-wide gene expression data are generated at an increasing rate, the repertoire of approaches for pattern discovery in these data is still limited. Identifying subtle patterns of interest in large amounts of data (tens of thousands of profiles) associated with a certain level of noise remains a challenge. A microarray time series was recently generated to study the transcriptional program of the mouse segmentation clock, a biological oscillator associated with the periodic formation of the segments of the body axis. A method related to Fourier analysis, the Lomb-Scargle periodogram, was used to detect periodic profiles in the dataset, leading to the identification of a novel set of cyclic genes associated with the segmentation clock. Here, we applied to the same microarray time series dataset four distinct mathematical methods to identify significant patterns in gene expression profiles. These methods are called: Phase consistency, Address reduction, Cyclohedron test and Stable persistence, and are based on different conceptual frameworks that are either hypothesis- or data-driven. Some of the methods, unlike Fourier transforms, are not dependent on the assumption of periodicity of the pattern of interest. Remarkably, these methods identified blindly the expression profiles of known cyclic genes as the most significant patterns in the dataset. Many candidate genes predicted by more than one approach appeared to be true positive cyclic genes and will be of particular interest for future research. In addition, these methods predicted novel candidate cyclic genes that were consistent with previous biological knowledge and experimental validation in mouse embryos. Our results demonstrate the utility of these novel pattern detection strategies, notably for detection of periodic profiles, and suggest that combining several distinct mathematical approaches to analyze microarray datasets is a valuable strategy for identifying genes that exhibit novel, interesting transcriptional patterns.Item Open Access Murine V kappa gene expression does not follow the VH paradigm.(J Exp Med, 1989-05-01) Kaushik, A; Schulze, DH; Bona, C; Kelsoe, GV kappa gene family expression among LPS-reactive murine B lymphocytes, unlike that of VH gene families, is not proportional to genomic complexity, i.e., nonstoichiometric. Furthermore, no positional bias for the overexpression of J-proximal V kappa genes (V kappa 21) is observed among neonatal B lymphocytes. Yet, the V kappa 1 and V kappa 9 families located in the center of V kappa locus are preferentially used by neonatal B splenocytes. Thus, the mechanisms of V kappa gene rearrangement and expression appear to differ significantly from those controlling the VH locus.