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  Reconstructing the in vivo dynamics of 1 hematopoietic stem cells from telomere 2 length distributions

Werner, B., Beier, F., Hummel, S., Balabanov, S., Lassay, L., Orlikowsky, T., et al. (2015). Reconstructing the in vivo dynamics of 1 hematopoietic stem cells from telomere 2 length distributions. eLife, 08687. doi:10.7554/eLife.08687.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-010B-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-010C-A
Genre: Journal Article

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 Creators:
Werner, Benjamin1, Author              
Beier, Fabian, Author
Hummel, Sebastian, Author
Balabanov, Stefan, Author
Lassay, Lisa, Author
Orlikowsky, Thorsten, Author
Dingli, David, Author
Brümmendorf, Tim H., Author
Traulsen, Arne1, Author              
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1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2015-05-132015-10-142015-10-15
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.7554/eLife.08687
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: 45 S. Volume / Issue: - Sequence Number: 08687 Start / End Page: - Identifier: Other: 2050-084X
CoNE: /journals/resource/2050-084X