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Cell lineage branching as a strategy for proliferative control

Overview of attention for article published in BMC Biology, February 2015
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Title
Cell lineage branching as a strategy for proliferative control
Published in
BMC Biology, February 2015
DOI 10.1186/s12915-015-0122-8
Pubmed ID
Authors

Gentian Buzi, Arthur D Lander, Mustafa Khammash

Abstract

How tissue and organ sizes are specified is one of the great unsolved mysteries in biology. Experiments and mathematical modeling implicate feedback control of cell lineage progression, but a broad understanding of what lineage feedback accomplishes is lacking. By exploring the possible effects of various biologically relevant disturbances on the dynamic and steady state behaviors of stem cell lineages, we find that the simplest and most frequently studied form of lineage feedback - which we term renewal control - suffers from several serious drawbacks. These reflect fundamental performance limits dictated by universal conservation-type laws, and are independent of parameter choice. Here we show that introducing lineage branches can circumvent all such limitations, permitting effective attenuation of a wide range of perturbations. The type of feedback that achieves such performance - which we term fate control - involves promotion of lineage branching at the expense of both renewal and (primary) differentiation. We discuss the evidence that feedback of just this type occurs in vivo, and plays a role in tissue growth control. Regulated lineage branching is an effective strategy for dealing with disturbances in stem cell systems. The existence of this strategy provides a dynamics-based justification for feedback control of cell fate in vivo.

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Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 30%
Student > Ph. D. Student 16 20%
Student > Master 8 10%
Student > Bachelor 6 7%
Professor 6 7%
Other 14 17%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Biochemistry, Genetics and Molecular Biology 20 24%
Engineering 7 9%
Mathematics 5 6%
Medicine and Dentistry 4 5%
Other 10 12%
Unknown 10 12%