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Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool

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...

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Autor principal: Meaburn, Karen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961005/
https://www.ncbi.nlm.nih.gov/pubmed/27507988
http://dx.doi.org/10.3389/fgene.2016.00134
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author Meaburn, Karen J.
author_facet Meaburn, Karen J.
author_sort Meaburn, Karen J.
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description 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. However, there is a growing realization that the spatial organization of the genome can be used as a marker of disease. While global genome organization patterns remain largely conserved in disease, some genes and chromosomes occupy distinct nuclear positions in diseased cells compared to their normal counterparts, with the patterns of reorganization differing between diseases. Importantly, mapping the spatial positioning patterns of specific genomic loci can distinguish cancerous tissue from benign with high accuracy. Genome positioning is an attractive novel biomarker since additional quantitative biomarkers are urgently required in many cancer types. Current diagnostic techniques are often subjective and generally lack the ability to identify aggressive cancer from indolent, which can lead to over- or under-treatment of patients. Proof-of-principle for the use of genome positioning as a diagnostic tool has been provided based on small scale retrospective studies. Future large-scale studies are required to assess the feasibility of bringing spatial genome organization-based diagnostics to the clinical setting and to determine if the positioning patterns of specific loci can be useful biomarkers for cancer prognosis. Since spatial reorganization of the genome has been identified in multiple human diseases, it is likely that spatial genome positioning patterns as a diagnostic biomarker may be applied to many diseases.
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spelling pubmed-49610052016-08-09 Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool Meaburn, Karen J. Front Genet Genetics 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. However, there is a growing realization that the spatial organization of the genome can be used as a marker of disease. While global genome organization patterns remain largely conserved in disease, some genes and chromosomes occupy distinct nuclear positions in diseased cells compared to their normal counterparts, with the patterns of reorganization differing between diseases. Importantly, mapping the spatial positioning patterns of specific genomic loci can distinguish cancerous tissue from benign with high accuracy. Genome positioning is an attractive novel biomarker since additional quantitative biomarkers are urgently required in many cancer types. Current diagnostic techniques are often subjective and generally lack the ability to identify aggressive cancer from indolent, which can lead to over- or under-treatment of patients. Proof-of-principle for the use of genome positioning as a diagnostic tool has been provided based on small scale retrospective studies. Future large-scale studies are required to assess the feasibility of bringing spatial genome organization-based diagnostics to the clinical setting and to determine if the positioning patterns of specific loci can be useful biomarkers for cancer prognosis. Since spatial reorganization of the genome has been identified in multiple human diseases, it is likely that spatial genome positioning patterns as a diagnostic biomarker may be applied to many diseases. Frontiers Media S.A. 2016-07-26 /pmc/articles/PMC4961005/ /pubmed/27507988 http://dx.doi.org/10.3389/fgene.2016.00134 Text en Copyright © 2016 Meaburn. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Meaburn, Karen J.
Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title_full Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title_fullStr Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title_full_unstemmed Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title_short Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool
title_sort spatial genome organization and its emerging role as a potential diagnosis tool
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961005/
https://www.ncbi.nlm.nih.gov/pubmed/27507988
http://dx.doi.org/10.3389/fgene.2016.00134
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