Evidence map›Paper›PMID 26468615›Full record

ArticleeLife2015

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

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 96 citations in OpenAlex.

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  14. The evolving hematopoietic niche during development.Frontiers in molecular biosciences · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Benjamin WernerDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Fabian BeierDepartment of Hematology and Oncology, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
Sebastian HummelDepartment of Hematology and Oncology, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
Stefan BalabanovDivision of Hematology, University Hospital of Zürich, Zürich, Switzerland.
Lisa LassayDepartment of Pediatrics, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
Thorsten OrlikowskyDepartment of Pediatrics, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
David DingliDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, United States.
Tim H BrümmendorfDepartment of Hematology and Oncology, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Aachen, Germany.
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Universitätsklinikum Aachen · DEMax Planck Institute for Evolutionary Biology · DERWTH Aachen University · DEMayo Clinic · USUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cell ProliferationTelomereAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCytological TechniquesGranulocytesHealthy VolunteersHematopoietic Stem CellsHumansInfantInfant, NewbornLymphocytescomputational biologydevelopmental biologyhematopoiesishumanmathematical modellingpersonalised medicineself renewalstem cellssystems biologytelomere length distribution

Identifiers

PMID26468615
PMCPMC4744200
OpenAlexW2230235941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.