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Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions
We investigate the in vivo patterns of stem cell divisions in the human hematopoietic system throughout life. In particular, we analyze the shape of telomere length distributions underlying stem cell behavior within individuals. Our mathematical model shows that these distributions contain a fingerp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744200/ https://www.ncbi.nlm.nih.gov/pubmed/26468615 http://dx.doi.org/10.7554/eLife.08687 |
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author | Werner, Benjamin Beier, Fabian Hummel, Sebastian Balabanov, Stefan Lassay, Lisa Orlikowsky, Thorsten Dingli, David Brümmendorf, Tim H Traulsen, Arne |
author_facet | Werner, Benjamin Beier, Fabian Hummel, Sebastian Balabanov, Stefan Lassay, Lisa Orlikowsky, Thorsten Dingli, David Brümmendorf, Tim H Traulsen, Arne |
author_sort | Werner, Benjamin |
collection | PubMed |
description | We investigate the in vivo patterns of stem cell divisions in the human hematopoietic system throughout life. In particular, we analyze the shape of telomere length distributions underlying stem cell behavior within individuals. Our mathematical model shows that these distributions contain a fingerprint of the progressive telomere loss and the fraction of symmetric cell proliferations. Our predictions are tested against measured telomere length distributions in humans across all ages, collected from lymphocyte and granulocyte sorted telomere length data of 356 healthy individuals, including 47 cord blood and 28 bone marrow samples. We find an increasing stem cell pool during childhood and adolescence and an approximately maintained stem cell population in adults. Furthermore, our method is able to detect individual differences from a single tissue sample, i.e. a single snapshot. Prospectively, this allows us to compare cell proliferation between individuals and identify abnormal stem cell dynamics, which affects the risk of stem cell related diseases. DOI: http://dx.doi.org/10.7554/eLife.08687.001 |
format | Online Article Text |
id | pubmed-4744200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47442002016-02-08 Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions Werner, Benjamin Beier, Fabian Hummel, Sebastian Balabanov, Stefan Lassay, Lisa Orlikowsky, Thorsten Dingli, David Brümmendorf, Tim H Traulsen, Arne eLife Computational and Systems Biology We investigate the in vivo patterns of stem cell divisions in the human hematopoietic system throughout life. In particular, we analyze the shape of telomere length distributions underlying stem cell behavior within individuals. Our mathematical model shows that these distributions contain a fingerprint of the progressive telomere loss and the fraction of symmetric cell proliferations. Our predictions are tested against measured telomere length distributions in humans across all ages, collected from lymphocyte and granulocyte sorted telomere length data of 356 healthy individuals, including 47 cord blood and 28 bone marrow samples. We find an increasing stem cell pool during childhood and adolescence and an approximately maintained stem cell population in adults. Furthermore, our method is able to detect individual differences from a single tissue sample, i.e. a single snapshot. Prospectively, this allows us to compare cell proliferation between individuals and identify abnormal stem cell dynamics, which affects the risk of stem cell related diseases. DOI: http://dx.doi.org/10.7554/eLife.08687.001 eLife Sciences Publications, Ltd 2015-10-15 /pmc/articles/PMC4744200/ /pubmed/26468615 http://dx.doi.org/10.7554/eLife.08687 Text en © 2015, Werner et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Werner, Benjamin Beier, Fabian Hummel, Sebastian Balabanov, Stefan Lassay, Lisa Orlikowsky, Thorsten Dingli, David Brümmendorf, Tim H Traulsen, Arne Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title | Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title_full | Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title_fullStr | Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title_full_unstemmed | Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title_short | Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
title_sort | reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744200/ https://www.ncbi.nlm.nih.gov/pubmed/26468615 http://dx.doi.org/10.7554/eLife.08687 |
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