Evidence map›Paper›PMID 26486451›Full record

ArticleBMC biology2015

Mechanisms of blood homeostasis: lineage tracking and a neutral model of cell populations in rhesus macaques.

Sidhartha Goyal, Sanggu Kim, Irvin S Y Chen, Tom Chou

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Phenomenology and dynamics of competitive ecosystems beyond the niche-neutral regimes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Tracing the Dynamics of Stem Cell Fate.Cold Spring Harbor perspectives in biology · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
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

4 authors at 3 institutions in 2 countries.

Sidhartha GoyalDepartment of Physics, University of Toronto, St George Campus, Toronto, Canada.
Sanggu KimDepartment of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, USA.
Irvin S Y ChenDepartment of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, USA.
Tom ChouDepartments of Biomathematics and Mathematics, UCLA, Los Angeles, USA. tomchou@ucla.edu.
University of California, Los Angeles · USApplied Biomathematics (United States) · USUniversity of Toronto · CA

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 1991 to 2018
$39.9M
Hematopoietic stem/progenitor cell reservoirsR01AI110297 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHEN, IRVIN S.Y. · 2014 to 2018
$1.9M
Defining a therapeutic threshold in HSPC gene therapy for HIV-1 diseaseR00HL116234 · NHLBI · OHIO STATE UNIVERSITY · PI KIM, SANGGU · 2016 to 2018
$747k
Defining a therapeutic threshold in HSPC gene therapy for HIV-1 diseaseK99HL116234 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KIM, SANGGU · 2012 to 2013
$178k
NHLBI NIH HHS K99 HL116234NHLBI NIH HHS K99HL116234NHLBI NIH HHS R00 HL116234NIAID NIH HHS AI28697NIAID NIH HHS P30 AI028697NIAID NIH HHS R01 AI110297NIAID NIH HHS R01AI110297
6 · The paper itself

Abstract

backgroundHow a potentially diverse population of hematopoietic stem cells (HSCs) differentiates and proliferates to supply more than 10(11) mature blood cells every day in humans remains a key biological question. We investigated this process by quantitatively analyzing the clonal structure of peripheral blood that is generated by a population of transplanted lentivirus-marked HSCs in myeloablated rhesus macaques. Each transplanted HSC generates a clonal lineage of cells in the peripheral blood that is then detected and quantified through deep sequencing of the viral vector integration sites (VIS) common within each lineage. This approach allowed us to observe, over a period of 4-12 years, hundreds of distinct clonal lineages.

resultsWhile the distinct clone sizes varied by three orders of magnitude, we found that collectively, they form a steady-state clone size-distribution with a distinctive shape. Steady-state solutions of our model show that the predicted clone size-distribution is sensitive to only two combinations of parameters. By fitting the measured clone size-distributions to our mechanistic model, we estimate both the effective HSC differentiation rate and the number of active HSCs.

conclusionsOur concise mathematical model shows how slow HSC differentiation followed by fast progenitor growth can be responsible for the observed broad clone size-distribution. Although all cells are assumed to be statistically identical, analogous to a neutral theory for the different clone lineages, our mathematical approach captures the intrinsic variability in the times to HSC differentiation after transplantation.

Indexed as

Cell DifferentiationCell LineageHomeostasisAnimalsBlood CellsClone CellsHematopoietic Stem CellsMacaca mulattaModels, Biological

Identifiers

PMID26486451
PMCPMC4615871
OpenAlexW2100555030

What OpenQuestion holds

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LicenceCC BY
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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.