Publication Date
2-1-2019
Document Type
Article
Organizational Units
College of Natural Science and Mathematics, Biological Sciences
Keywords
Nuclear organization, Sperm, Morphometrics, Chromosome painting
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 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.
Copyright Date
2-1-2019
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights Holder
The Authors
Provenance
Received from author
File Format
application/pdf
Language
English (eng)
Extent
14 pgs
File Size
7348 KB
Publication Statement
Copyright is held by the authors. User is responsible for all copyright compliance. This article was originally published as:
Skinner, B. M., Bacon, J., Rathje, C. C., Larson, E. L., Kopaniea, E. E. K., Good, J. M., ..., & Ellis, P. J. I. (2019). Automated nuclear cartography reveals conserved sperm chromosome territory localization across 2 million years of mouse evolution. Genes, 10(2), 1-14. DOI: 10.3390/genes10020109
Publication Title
Genes
Volume
10
Issue
2
First Page
1
Last Page
14
ISSN
2073-4425
Recommended Citation
Skinner, B. M., Bacon, J., Rathje, C. C., Larson, E. L., Kopaniea, E. E. K., Good, J. M., ..., & Ellis, P. J. I. (2019). Automated nuclear cartography reveals conserved sperm chromosome territory localization across 2 million years of mouse evolution. Genes, 10(2), 1-14. DOI: 10.3390/genes10020109