Publications by authors named "Karen J Meaburn"

This study demonstrates, and confirms, that chromosome territory positioning is altered in primary senescent human dermal fibroblasts (HDFs). The chromosome territory positioning pattern is very similar to that found in HDFs made quiescent either by serum starvation or confluence; but not completely. A few chromosomes are found in different locations.

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There is a pressing need for additional clinical biomarkers to predict the aggressiveness of individual cancers. Here, we examine the potential usefulness of spatial genome organization as a prognostic tool for prostate cancer. Using fluorescence hybridization on formalin-fixed, paraffin embedded human prostate tissue specimens, we compared the nuclear positions of four genes between clinically relevant subgroups of prostate tissues.

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Article Synopsis
  • - Recent research has significantly advanced our understanding of the structure and function of the eukaryotic cell nucleus, revealing important principles such as the organization of chromatin and the positioning of genes in three-dimensional space.
  • - Techniques like imaging, biochemistry, and molecular biology have uncovered various nuclear components, including chromatin domains and non-membranous bodies, and highlighted the nuclear lamina's role in genome organization.
  • - Despite these insights, many questions persist, particularly regarding higher-order genome organization, the impact of liquid phase separation on cellular structure, and the nuclear lamina's functions in physiological processes.
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In eukaryotic cells the genome is highly spatially organized. Functional relevance of higher order genome organization is implied by the fact that specific genes, and even whole chromosomes, alter spatial position in concert with functional changes within the nucleus, for example with modifications to chromatin or transcription. The exact molecular pathways that regulate spatial genome organization and the full implication to the cell of such an organization remain to be determined.

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Genes have preferential non-random spatial positions within the cell nucleus. The nuclear position of a subset of genes differ between cell types and some genes undergo repositioning events in disease, including cancer. It is currently unclear whether the propensity of a gene to reposition reflects an intrinsic property of the locus or the tissue.

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Genes occupy preferred spatial positions within interphase cell nuclei. However, positioning patterns are not an innate feature of a locus, and genes can alter their localization in response to physiological and pathological changes. Here we screen the radial positioning patterns of 40 genes in normal, hyperplasic, and malignant human prostate tissues.

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  • Image analysis is essential for extracting quantitative data from biological images and plays a key role in developmental biology research.
  • The segmentation process involves isolating specific objects from 2D images or 3D stacks, followed by measuring and classifying these objects.
  • This chapter highlights three free software tools—ImageJ, MIPAV, and VisSeg—focusing on their use for effective segmentation, with VisSeg being particularly specialized for accurate segmentation of cells and cell nuclei.
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  • Correct segmentation is essential for accurate automated microscopy image analysis, especially in studying gene positioning in breast cancer cell nuclei, where variations often lead to errors despite advanced algorithms.
  • This study introduces a ranked-retrieval method using logistic regression to select accurately segmented nuclei from many candidates by analyzing features like shape and texture.
  • The automated approach proved more effective than human reviewers in classifying segmentation accuracy and maintained reliable gene position measurements, showcasing its potential for enhancing analysis in large datasets.
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  • * Manual analysis is too slow and subjective, so a workflow was developed that uses automatic segmentation and artificial neural networks to select the best nuclei from images containing many more than needed.
  • * The method demonstrated strong accuracy in distinguishing between normal and cancerous breast tissues by analyzing the positioning of the HES5 gene, with results closely matching those from manual analysis.
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  • * To automate this process, a supervised learning framework using artificial neural networks (ANNs) was developed, improving speed and accuracy.
  • * The framework successfully identified over 1400 well-segmented nuclei from breast tissue images, outperforming a previously used classification approach.
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Genomes are spatially highly organized within interphase nuclei. Spatial genome organization is increasingly linked to genome function. Fluorescence in situ hybridization (FISH) allows the visualization of specific regions of the genome for spatial mapping.

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Genomes are nonrandomly organized within the three-dimensional space of the cell nucleus. Here, we have identified several genes whose nuclear positions are altered in human invasive breast cancer compared with normal breast tissue. The changes in positioning are gene specific and are not a reflection of genomic instability within the cancer tissue.

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Spatial analysis of gene localization using fluorescent in-situ hybridization (FISH) labeling is potentially a new method for early cancer detection. Current methodology relies heavily upon accurate segmentation of cell nuclei and FISH signals in tissue sections. While automatic FISH signal detection is a relatively simpler task, accurate nuclei segmentation is still a manual process which is fairly time consuming and subjective.

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Although the identification and characterization of translocations have rapidly increased, little is known about the mechanisms of how translocations occur in vivo. We used anaplastic large cell lymphoma (ALCL) with and without the characteristic t(2;5)(p23;q35) translocation to study the mechanisms of formation of translocations and of ALCL transformation. We report deregulation of several genes located near the ALCL translocation breakpoint, regardless of whether the tumor contains the t(2;5).

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There is no doubt that genomes are organized nonrandomly in the nucleus of higher eukaryotes. But what is the functional relevance of this nonrandomness? In this Essay, we explore the biological meaning of spatial gene positioning by examining the functional link between the activity of a gene and its radial position in the nucleus.

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Chromosomes occupy non-random spatial positions in interphase nuclei. It remains unclear what orchestrates this high level of organisation. To determine how the nuclear environment influences the spatial positioning of chromosomes, we utilised a panel of stable mouse hybrid cell lines carrying a single, intact human chromosome.

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The mammalian genome is highly organized within the cell nucleus. The nuclear position of many genes and genomic regions changes during physiological processes such as proliferation, differentiation, and disease. It is unclear whether disease-associated positioning changes occur specifically or are part of more global genome reorganization events.

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A number of diseases associated with specific tissue degeneration and premature aging have mutations in the nuclear envelope proteins A-type lamins or emerin. Those diseases with A-type lamin mutation are inclusively termed laminopathies. Due to various hypothetical roles of nuclear envelope proteins in genome function we investigated whether alterations to normal genomic behaviour are apparent in cells with mutations in A-type lamins and emerin.

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Chromosomal translocations and genomic instability are universal hallmarks of tumor cells. While the molecular mechanisms leading to the formation of translocations are rapidly being elucidated, a cell biological understanding of how chromosomes undergo translocations in the context of the cell nucleus in vivo is largely lacking. The recent realization that genomes are non-randomly arranged within the nuclear space has profound consequences for mechanisms of chromosome translocations.

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Microcell-mediated chromosome transfer (MMCT) was a technique originally developed in the 1970s to transfer exogenous chromosome material into host cells. Although, the methodology has not changed considerably since this time it is being used to great success in progressing several different fields in modern day biology. MMCT is being employed by groups all over the world to hunt for tumour suppressor genes associated with specific cancers, DNA repair genes, senescence-inducing genes and telomerase suppression genes.

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