Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Stem cell lineage survival as a noisy competition for niche access

Bernat Corominas-Murtra, Colinda L.G.J. Scheele, Kasumi Kishi, Saskia I.J. Ellenbroek, Benjamin D. Simons, Jacco van Rheenen, Edouard Hannezo
doi: https://doi.org/10.1101/2020.02.12.945253
Bernat Corominas-Murtra
1Institute for Science and Technology Austria. Am Campus 1, A-3400 Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bernat.corominas-murtra@ist.ac.at j.v.rheenen@nki.nl edouard.hannezo@ist.ac.at
Colinda L.G.J. Scheele
2Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kasumi Kishi
1Institute for Science and Technology Austria. Am Campus 1, A-3400 Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Saskia I.J. Ellenbroek
2Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin D. Simons
3The Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK
4Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
5The Wellcome Trust/Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge CB2 1QN, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jacco van Rheenen
2Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bernat.corominas-murtra@ist.ac.at j.v.rheenen@nki.nl edouard.hannezo@ist.ac.at
Edouard Hannezo
1Institute for Science and Technology Austria. Am Campus 1, A-3400 Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bernat.corominas-murtra@ist.ac.at j.v.rheenen@nki.nl edouard.hannezo@ist.ac.at
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Understanding to what extent stem cell potential is a cell-intrinsic property, or an emergent behavior coming from global tissue dynamics and geometry, is a key outstanding question of stem cell biology. Here, we propose a theory of stem cell dynamics as a stochastic competition for access to a spatially-localized niche, giving rise to a “stochastic conveyor-belt” model. Cell divisions produce a steady cellular stream which advects cells away from the niche, while random rearrangements enable cells away from the niche to be favourably repositioned. Importantly, even when assuming that all cells in a tissue molecularly equivalent, the model predicts a common (“universal”) functional dependence of the long-term clonal survival probability on the position within the niche, as well as the emergence of a well-defined number of “functional” stem cells, dependent only on the rate of random movements vs. mitosis-driven advection. We test the predictions of this theory on datasets on pubertal mammary gland tips, embryonic kidney tips as well homeostatic intestinal crypt, and find good quantitative agreement for the number of functional stem cells in each organ, as well as the predicted functional dependence of the competition.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted February 12, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Stem cell lineage survival as a noisy competition for niche access
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Stem cell lineage survival as a noisy competition for niche access
Bernat Corominas-Murtra, Colinda L.G.J. Scheele, Kasumi Kishi, Saskia I.J. Ellenbroek, Benjamin D. Simons, Jacco van Rheenen, Edouard Hannezo
bioRxiv 2020.02.12.945253; doi: https://doi.org/10.1101/2020.02.12.945253
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Stem cell lineage survival as a noisy competition for niche access
Bernat Corominas-Murtra, Colinda L.G.J. Scheele, Kasumi Kishi, Saskia I.J. Ellenbroek, Benjamin D. Simons, Jacco van Rheenen, Edouard Hannezo
bioRxiv 2020.02.12.945253; doi: https://doi.org/10.1101/2020.02.12.945253

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3479)
  • Biochemistry (7318)
  • Bioengineering (5296)
  • Bioinformatics (20197)
  • Biophysics (9976)
  • Cancer Biology (7703)
  • Cell Biology (11250)
  • Clinical Trials (138)
  • Developmental Biology (6417)
  • Ecology (9916)
  • Epidemiology (2065)
  • Evolutionary Biology (13280)
  • Genetics (9352)
  • Genomics (12554)
  • Immunology (7674)
  • Microbiology (18939)
  • Molecular Biology (7417)
  • Neuroscience (40891)
  • Paleontology (298)
  • Pathology (1226)
  • Pharmacology and Toxicology (2126)
  • Physiology (3140)
  • Plant Biology (6838)
  • Scientific Communication and Education (1270)
  • Synthetic Biology (1891)
  • Systems Biology (5296)
  • Zoology (1085)