Abstract

Cell-to-cell differences in protein expression in normal tissues and tumors are a common phenomenon, but the underlying principles that govern this heterogeneity are largely unknown. Here, we show that in monolayer cancer cell-line cultures, the expression of the five metabolic enzymes of serine-glycine synthesis (SGS), including its rate-limiting enzyme, phosphoglycerate dehydrogenase (PHGDH), displays stochastic cell-to-cell variation. By contrast, in cancer cell line-derived three-dimensional (3D) microtumors PHGDH expression is restricted to the outermost part of the microtumors’ outer proliferative cell layer, while the four other SGS enzymes display near uniform expression throughout the microtumor. A mathematical model suggests that metabolic stress in the microtumor core activates factors that restrict PHGDH expression. Thus, intracellular enzyme expression in growing cell ecosystems can shift to spatially ordered patterns in 3D structured environments due to emergent cell-cell communication, with potential implications for the design of effective anti-metabolic cancer therapies.

Details

Title
Shift from stochastic to spatially-ordered expression of serine-glycine synthesis enzymes in 3D microtumors
Author
Singh, Manjulata 1 ; Warita, Katsuhiko 2 ; Warita, Tomoko 2 ; Faeder, James R 3 ; Lee, Robin E C 3   VIAFID ORCID Logo  ; Sant, Shilpa 4   VIAFID ORCID Logo  ; Oltvai, Zoltán N 5 

 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA 
 Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA 
 Department of Computational & Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA 
 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, Swanson School of Engineering, McGowan Institute for Regenerative Medicine, and UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA 
 Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Computational & Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA 
Pages
1-12
Publication year
2018
Publication date
Jun 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2057423547
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.