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Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution
Measurements of nuclear organization in asymmetric nuclei in 2D images have traditionally been manual. This is exemplified by attempts to measure chromosome position in sperm samples, typically by dividing the nucleus into zones, and manually scoring which zone a fluorescence in-situ hybridisation (...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409866/ https://www.ncbi.nlm.nih.gov/pubmed/30717218 http://dx.doi.org/10.3390/genes10020109 |
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author | Skinner, Benjamin Matthew Bacon, Joanne Rathje, Claudia Cattoni Larson, Erica Lee Kopania, Emily Emiko Konishi Good, Jeffrey Martin Affara, Nabeel Ahmed Ellis, Peter James Ivor |
author_facet | Skinner, Benjamin Matthew Bacon, Joanne Rathje, Claudia Cattoni Larson, Erica Lee Kopania, Emily Emiko Konishi Good, Jeffrey Martin Affara, Nabeel Ahmed Ellis, Peter James Ivor |
author_sort | Skinner, Benjamin Matthew |
collection | PubMed |
description | Measurements of nuclear organization in asymmetric nuclei in 2D images have traditionally been manual. This is exemplified by attempts to measure chromosome position in sperm samples, typically by dividing the nucleus into zones, and manually scoring which zone a fluorescence in-situ hybridisation (FISH) signal lies in. This is time consuming, limiting the number of nuclei that can be analyzed, and prone to subjectivity. We have developed a new approach for automated mapping of FISH signals in asymmetric nuclei, integrated into an existing image analysis tool for nuclear morphology. Automatic landmark detection defines equivalent structural regions in each nucleus, then dynamic warping of the FISH images to a common shape allows us to generate a composite of the signal within the entire cell population. Using this approach, we mapped the positions of the sex chromosomes and two autosomes in three mouse lineages (Mus musculus domesticus, Mus musculus musculus and Mus spretus). We found that in all three, chromosomes 11 and 19 tend to interact with each other, but are shielded from interactions with the sex chromosomes. This organization is conserved across 2 million years of mouse evolution. |
format | Online Article Text |
id | pubmed-6409866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64098662019-03-26 Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution Skinner, Benjamin Matthew Bacon, Joanne Rathje, Claudia Cattoni Larson, Erica Lee Kopania, Emily Emiko Konishi Good, Jeffrey Martin Affara, Nabeel Ahmed Ellis, Peter James Ivor Genes (Basel) Article Measurements of nuclear organization in asymmetric nuclei in 2D images have traditionally been manual. This is exemplified by attempts to measure chromosome position in sperm samples, typically by dividing the nucleus into zones, and manually scoring which zone a fluorescence in-situ hybridisation (FISH) signal lies in. This is time consuming, limiting the number of nuclei that can be analyzed, and prone to subjectivity. We have developed a new approach for automated mapping of FISH signals in asymmetric nuclei, integrated into an existing image analysis tool for nuclear morphology. Automatic landmark detection defines equivalent structural regions in each nucleus, then dynamic warping of the FISH images to a common shape allows us to generate a composite of the signal within the entire cell population. Using this approach, we mapped the positions of the sex chromosomes and two autosomes in three mouse lineages (Mus musculus domesticus, Mus musculus musculus and Mus spretus). We found that in all three, chromosomes 11 and 19 tend to interact with each other, but are shielded from interactions with the sex chromosomes. This organization is conserved across 2 million years of mouse evolution. MDPI 2019-02-01 /pmc/articles/PMC6409866/ /pubmed/30717218 http://dx.doi.org/10.3390/genes10020109 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Skinner, Benjamin Matthew Bacon, Joanne Rathje, Claudia Cattoni Larson, Erica Lee Kopania, Emily Emiko Konishi Good, Jeffrey Martin Affara, Nabeel Ahmed Ellis, Peter James Ivor Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title | Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title_full | Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title_fullStr | Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title_full_unstemmed | Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title_short | Automated Nuclear Cartography Reveals Conserved Sperm Chromosome Territory Localization across 2 Million Years of Mouse Evolution |
title_sort | automated nuclear cartography reveals conserved sperm chromosome territory localization across 2 million years of mouse evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409866/ https://www.ncbi.nlm.nih.gov/pubmed/30717218 http://dx.doi.org/10.3390/genes10020109 |
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