Skinner, Benjamin M., Bacon, Joanne, Rathje, Claudia C., Larson, Erica L., Kopania, Emily E. K., Good, Jeffrey M., Affara, Nabeel A., Ellis, Peter J.I. (2019) Automated nuclear cartography reveals conserved sperm chromosome territory localization across 2 million years of mouse evolution. Genes, 10 (2). Article Number 109. (doi:10.3390/genes10020109) (KAR id:72162)
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Official URL: https://doi.org/10.3390/genes10020109 |
Abstract
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
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.
Item Type: | Article |
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DOI/Identification number: | 10.3390/genes10020109 |
Projects: | Customisable surface markers for the separation of X and Y bearing mammalian sperm |
Uncontrolled keywords: | sperm, quantitative morphometry, morphometrics, fertility, evolution, image analysis |
Subjects: |
Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics Q Science > QH Natural history > QH581.2 Cell Biology |
Divisions: | Divisions > Division of Natural Sciences > Biosciences |
Funders: | [37325] UNSPECIFIED |
Depositing User: | Peter Ellis |
Date Deposited: | 05 Feb 2019 10:27 UTC |
Last Modified: | 04 Mar 2024 17:24 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/72162 (The current URI for this page, for reference purposes) |
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