2007
DOI: 10.1371/journal.pcbi.0030138
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Quantitative Analysis of Cell Nucleus Organisation

Abstract: There are almost 1,300 entries for higher eukaryotes in the Nuclear Protein Database. The proteins' subcellular distribution patterns within interphase nuclei can be complex, ranging from diffuse to punctate or microspeckled, yet they all work together in a coordinated and controlled manner within the three-dimensional confines of the nuclear volume. In this review we describe recent advances in the use of quantitative methods to understand nuclear spatial organisation and discuss some of the practical applica… Show more

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Cited by 23 publications
(29 citation statements)
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“…The use of automated analysis of subnuclear structures enables the objective and unbiased detection of the object studied [30], [33]. The developed software allows for the quantification of transcription sites from the identification of local peaks of intensity (curvature) in the BrRNA signal in 3D confocal series.…”
Section: Resultsmentioning
confidence: 99%
“…The use of automated analysis of subnuclear structures enables the objective and unbiased detection of the object studied [30], [33]. The developed software allows for the quantification of transcription sites from the identification of local peaks of intensity (curvature) in the BrRNA signal in 3D confocal series.…”
Section: Resultsmentioning
confidence: 99%
“…Although fluorescent MeC- and DNA-specific staining produces measurable signals in nuclei that can be extracted from individual 2-D optical sections or projections of 3-D image data, the signals do not usually generate quantitative and reproducible patterns of exact geometrical positions that are shared by all the cells. Also, due to the high variability and limitations of current imaging modalities it is challenging to precisely localize DNA signals and other similar nuclear structures [26]. Based on the dynamic self-organization of the genome, the spatial distribution of different classes of DNA (referred to as chromatin texture) is a descriptive feature in the differential characterization of cells and tissues in diverse states, as experienced in basic science [27–28] and translational medicine [29–30].…”
Section: Discussionmentioning
confidence: 99%
“…In plants, distance analysis was used to demonstrate the preferential localization of A. thaliana centromeres at the nuclear periphery of diploid cells [Fang and Spector, 2005]. The popularity of radial distance analysis in nuclear organisation studies [Shiels et al, 2007] is probably due to the simple spherical shape of cultured animal cell nuclei. The diversity of plant nuclear shapes ( fig.…”
Section: Modeling Approaches To Uncover Plant Nuclear Architecturementioning
confidence: 99%