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

Benjamin Werner; Fabian Beier; Sebastian Hummel; Stefan Balabanov; Lisa Lassay; Thorsten Orlikowsky; David Dingli; Tim H. Brümmendorf; Arne Traulsen

doi:10.7554/eLife.08687

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

Benjamin Werner, Fabian Beier, Sebastian Hummel, Stefan Balabanov, Lisa Lassay, Thorsten Orlikowsky, David Dingli, Tim H. Brümmendorf, Arne Traulsen

Hematology

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

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.

Original language	English (US)
Article number	e08687
Journal	eLife
Volume	4
Issue number	OCTOBER2015
DOIs	https://doi.org/10.7554/eLife.08687
State	Published - Oct 15 2015

ASJC Scopus subject areas

Neuroscience(all)
Immunology and Microbiology(all)
Biochemistry, Genetics and Molecular Biology(all)

Access to Document

10.7554/eLife.08687

Cite this

@article{f55f0ff7e9364ea5881a67306c281526,

title = "Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions",

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.",

author = "Benjamin Werner and Fabian Beier and Sebastian Hummel and Stefan Balabanov and Lisa Lassay and Thorsten Orlikowsky and David Dingli and Br{\"u}mmendorf, {Tim H.} and Arne Traulsen",

year = "2015",

month = oct,

day = "15",

doi = "10.7554/eLife.08687",

language = "English (US)",

volume = "4",

journal = "eLife",

issn = "2050-084X",

publisher = "eLife Sciences Publications",

number = "OCTOBER2015",

}

TY - JOUR

T1 - Reconstructing the in vivo dynamics of hematopoietic stem cells from telomere length distributions

AU - Werner, Benjamin

AU - Beier, Fabian

AU - Hummel, Sebastian

AU - Balabanov, Stefan

AU - Lassay, Lisa

AU - Orlikowsky, Thorsten

AU - Dingli, David

AU - Brümmendorf, Tim H.

AU - Traulsen, Arne

PY - 2015/10/15

Y1 - 2015/10/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84956878263&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84956878263&partnerID=8YFLogxK

U2 - 10.7554/eLife.08687

DO - 10.7554/eLife.08687

M3 - Article

C2 - 26468615

AN - SCOPUS:84956878263

SN - 2050-084X

VL - 4

JO - eLife

JF - eLife

IS - OCTOBER2015

M1 - e08687

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this