Publication Date:
2014-06-21
Description:
Mammalian tissue size is maintained by slow replacement of de-differentiating and dying cells. For adipocytes, key regulators of glucose and lipid metabolism, the renewal rate is only 10% per year. We used computational modeling, quantitative mass spectrometry, and single-cell microscopy to show that cell-to-cell variability, or noise, in protein abundance acts within a network of more than six positive feedbacks to permit pre-adipocytes to differentiate at very low rates. This reconciles two fundamental opposing requirements: High cell-to-cell signal variability is needed to generate very low differentiation rates, whereas low signal variability is needed to prevent differentiated cells from de-differentiating. Higher eukaryotes can thus control low rates of near irreversible cell fate decisions through a balancing act between noise and ultrahigh feedback connectivity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733388/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733388/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ahrends, Robert -- Ota, Asuka -- Kovary, Kyle M -- Kudo, Takamasa -- Park, Byung Ouk -- Teruel, Mary N -- P50 GM107615/GM/NIGMS NIH HHS/ -- P50GM107615/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2014 Jun 20;344(6190):1384-9. doi: 10.1126/science.1252079.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA. ; Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA. mteruel@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24948735" target="_blank"〉PubMed〈/a〉
Keywords:
Adipocytes/*cytology
;
*Adipogenesis
;
Animals
;
CCAAT-Enhancer-Binding Proteins/genetics/metabolism
;
Cell Communication
;
Cell Differentiation
;
Cell Line
;
Computer Simulation
;
Feedback, Physiological
;
Mass Spectrometry
;
Mice
;
*Models, Biological
;
PPAR gamma/genetics/metabolism
;
RNA, Small Interfering/genetics
;
Single-Cell Analysis
;
Stem Cells/cytology
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
