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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...

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Autores principales: Werner, Benjamin, Beier, Fabian, Hummel, Sebastian, Balabanov, Stefan, Lassay, Lisa, Orlikowsky, Thorsten, Dingli, David, Brümmendorf, Tim H, Traulsen, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
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
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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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