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Computer simulations of the mouse spermatogenic cycle
The spermatogenic cycle describes the periodic development of germ cells in the testicular tissue. The temporal–spatial dynamics of the cycle highlight the unique, complex, and interdependent interaction between germ and somatic cells, and are the key to continual sperm production. Although understa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295161/ https://www.ncbi.nlm.nih.gov/pubmed/25505149 http://dx.doi.org/10.1242/bio.20149068 |
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author | Ray, Debjit Pitts, Philip B. Hogarth, Cathryn A. Whitmore, Leanne S. Griswold, Michael D. Ye, Ping |
author_facet | Ray, Debjit Pitts, Philip B. Hogarth, Cathryn A. Whitmore, Leanne S. Griswold, Michael D. Ye, Ping |
author_sort | Ray, Debjit |
collection | PubMed |
description | The spermatogenic cycle describes the periodic development of germ cells in the testicular tissue. The temporal–spatial dynamics of the cycle highlight the unique, complex, and interdependent interaction between germ and somatic cells, and are the key to continual sperm production. Although understanding the spermatogenic cycle has important clinical relevance for male fertility and contraception, there are a number of experimental obstacles. For example, the lengthy process cannot be visualized through dynamic imaging, and the precise action of germ cells that leads to the emergence of testicular morphology remains uncharacterized. Here, we report an agent-based model that simulates the mouse spermatogenic cycle on a cross-section of the seminiferous tubule over a time scale of hours to years, while considering feedback regulation, mitotic and meiotic division, differentiation, apoptosis, and movement. The computer model is able to elaborate the germ cell dynamics in a time-lapse movie format, allowing us to trace individual cells as they change state and location. More importantly, the model provides mechanistic understanding of the fundamentals of male fertility, namely how testicular morphology and sperm production are achieved. By manipulating cellular behaviors either individually or collectively in silico, the model predicts causal events for the altered arrangement of germ cells upon genetic or environmental perturbations. This in silico platform can serve as an interactive tool to perform long-term simulation and to identify optimal approaches for infertility treatment and contraceptive development. |
format | Online Article Text |
id | pubmed-4295161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Company of Biologists |
record_format | MEDLINE/PubMed |
spelling | pubmed-42951612015-01-23 Computer simulations of the mouse spermatogenic cycle Ray, Debjit Pitts, Philip B. Hogarth, Cathryn A. Whitmore, Leanne S. Griswold, Michael D. Ye, Ping Biol Open Research Article The spermatogenic cycle describes the periodic development of germ cells in the testicular tissue. The temporal–spatial dynamics of the cycle highlight the unique, complex, and interdependent interaction between germ and somatic cells, and are the key to continual sperm production. Although understanding the spermatogenic cycle has important clinical relevance for male fertility and contraception, there are a number of experimental obstacles. For example, the lengthy process cannot be visualized through dynamic imaging, and the precise action of germ cells that leads to the emergence of testicular morphology remains uncharacterized. Here, we report an agent-based model that simulates the mouse spermatogenic cycle on a cross-section of the seminiferous tubule over a time scale of hours to years, while considering feedback regulation, mitotic and meiotic division, differentiation, apoptosis, and movement. The computer model is able to elaborate the germ cell dynamics in a time-lapse movie format, allowing us to trace individual cells as they change state and location. More importantly, the model provides mechanistic understanding of the fundamentals of male fertility, namely how testicular morphology and sperm production are achieved. By manipulating cellular behaviors either individually or collectively in silico, the model predicts causal events for the altered arrangement of germ cells upon genetic or environmental perturbations. This in silico platform can serve as an interactive tool to perform long-term simulation and to identify optimal approaches for infertility treatment and contraceptive development. The Company of Biologists 2014-12-12 /pmc/articles/PMC4295161/ /pubmed/25505149 http://dx.doi.org/10.1242/bio.20149068 Text en © 2015. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article Ray, Debjit Pitts, Philip B. Hogarth, Cathryn A. Whitmore, Leanne S. Griswold, Michael D. Ye, Ping Computer simulations of the mouse spermatogenic cycle |
title | Computer simulations of the mouse spermatogenic cycle |
title_full | Computer simulations of the mouse spermatogenic cycle |
title_fullStr | Computer simulations of the mouse spermatogenic cycle |
title_full_unstemmed | Computer simulations of the mouse spermatogenic cycle |
title_short | Computer simulations of the mouse spermatogenic cycle |
title_sort | computer simulations of the mouse spermatogenic cycle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295161/ https://www.ncbi.nlm.nih.gov/pubmed/25505149 http://dx.doi.org/10.1242/bio.20149068 |
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