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Estimating Cell Depth from Somatic Mutations
The depth of a cell of a multicellular organism is the number of cell divisions it underwent since the zygote, and knowing this basic cell property would help address fundamental problems in several areas of biology. At present, the depths of the vast majority of human and mouse cell types are unkno...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275312/ https://www.ncbi.nlm.nih.gov/pubmed/18404205 http://dx.doi.org/10.1371/journal.pcbi.1000058 |
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author | Wasserstrom, Adam Frumkin, Dan Adar, Rivka Itzkovitz, Shalev Stern, Tomer Kaplan, Shai Shefer, Gabi Shur, Irena Zangi, Lior Reizel, Yitzhak Harmelin, Alon Dor, Yuval Dekel, Nava Reisner, Yair Benayahu, Dafna Tzahor, Eldad Segal, Eran Shapiro, Ehud |
author_facet | Wasserstrom, Adam Frumkin, Dan Adar, Rivka Itzkovitz, Shalev Stern, Tomer Kaplan, Shai Shefer, Gabi Shur, Irena Zangi, Lior Reizel, Yitzhak Harmelin, Alon Dor, Yuval Dekel, Nava Reisner, Yair Benayahu, Dafna Tzahor, Eldad Segal, Eran Shapiro, Ehud |
author_sort | Wasserstrom, Adam |
collection | PubMed |
description | The depth of a cell of a multicellular organism is the number of cell divisions it underwent since the zygote, and knowing this basic cell property would help address fundamental problems in several areas of biology. At present, the depths of the vast majority of human and mouse cell types are unknown. Here, we show a method for estimating the depth of a cell by analyzing somatic mutations in its microsatellites, and provide to our knowledge for the first time reliable depth estimates for several cells types in mice. According to our estimates, the average depth of oocytes is 29, consistent with previous estimates. The average depth of B cells ranges from 34 to 79, linearly related to the mouse age, suggesting a rate of one cell division per day. In contrast, various types of adult stem cells underwent on average fewer cell divisions, supporting the notion that adult stem cells are relatively quiescent. Our method for depth estimation opens a window for revealing tissue turnover rates in animals, including humans, which has important implications for our knowledge of the body under physiological and pathological conditions. |
format | Text |
id | pubmed-2275312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22753122008-05-09 Estimating Cell Depth from Somatic Mutations Wasserstrom, Adam Frumkin, Dan Adar, Rivka Itzkovitz, Shalev Stern, Tomer Kaplan, Shai Shefer, Gabi Shur, Irena Zangi, Lior Reizel, Yitzhak Harmelin, Alon Dor, Yuval Dekel, Nava Reisner, Yair Benayahu, Dafna Tzahor, Eldad Segal, Eran Shapiro, Ehud PLoS Comput Biol Research Article The depth of a cell of a multicellular organism is the number of cell divisions it underwent since the zygote, and knowing this basic cell property would help address fundamental problems in several areas of biology. At present, the depths of the vast majority of human and mouse cell types are unknown. Here, we show a method for estimating the depth of a cell by analyzing somatic mutations in its microsatellites, and provide to our knowledge for the first time reliable depth estimates for several cells types in mice. According to our estimates, the average depth of oocytes is 29, consistent with previous estimates. The average depth of B cells ranges from 34 to 79, linearly related to the mouse age, suggesting a rate of one cell division per day. In contrast, various types of adult stem cells underwent on average fewer cell divisions, supporting the notion that adult stem cells are relatively quiescent. Our method for depth estimation opens a window for revealing tissue turnover rates in animals, including humans, which has important implications for our knowledge of the body under physiological and pathological conditions. Public Library of Science 2008-05-09 /pmc/articles/PMC2275312/ /pubmed/18404205 http://dx.doi.org/10.1371/journal.pcbi.1000058 Text en Wasserstrom et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wasserstrom, Adam Frumkin, Dan Adar, Rivka Itzkovitz, Shalev Stern, Tomer Kaplan, Shai Shefer, Gabi Shur, Irena Zangi, Lior Reizel, Yitzhak Harmelin, Alon Dor, Yuval Dekel, Nava Reisner, Yair Benayahu, Dafna Tzahor, Eldad Segal, Eran Shapiro, Ehud Estimating Cell Depth from Somatic Mutations |
title | Estimating Cell Depth from Somatic Mutations |
title_full | Estimating Cell Depth from Somatic Mutations |
title_fullStr | Estimating Cell Depth from Somatic Mutations |
title_full_unstemmed | Estimating Cell Depth from Somatic Mutations |
title_short | Estimating Cell Depth from Somatic Mutations |
title_sort | estimating cell depth from somatic mutations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275312/ https://www.ncbi.nlm.nih.gov/pubmed/18404205 http://dx.doi.org/10.1371/journal.pcbi.1000058 |
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