Article (Scientific journals)
Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions
Kravchenko-Balasha, Nataly; Wang, Jun; Remacle, Françoise et al.
2014In Proceedings of the National Academy of Sciences of the United States of America, 111, p. 6521-6526
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Abstract :
[en] To understand how pairwise cellular interactions influence cellular architectures, we measured the levels of functional proteins associated with EGF receptor (EGFR) signaling in pairs of U87EGFR variant III oncogene receptor cells (U87EGFRvIII) at varying cell separations. Using a thermodynamics-derived approach we analyzed the cell-separation dependence of the signaling stability, and identified that the stable steady state of EGFR signaling exists when two U87EGFRvIII cells are separated by 80–100 μm. This distance range was verified as the characteristic intercellular separation within bulk cell cultures. EGFR protein network signaling coordination for the U87EGFRvIII system was lowest at the stable state and most similar to isolated cell signaling. Measurements of cultures of less tumorigenic U87PTEN cells were then used to correctly predict that stable EGFR signaling occurs for those cells at smaller cell–cell separations. The intimate relationship between functional protein levels and cellular architectures explains the scattered nature of U87EGFRvIII cells relative to U87PTEN cells in glioblastoma multiforme tumors.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Kravchenko-Balasha, Nataly
Wang, Jun
Remacle, Françoise  ;  Université de Liège > Département de chimie (sciences) > Laboratoire de chimie physique théorique
Levine, Raphaël David
Heath, James R.
Language :
English
Title :
Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions
Publication date :
2014
Journal title :
Proceedings of the National Academy of Sciences of the United States of America
ISSN :
0027-8424
eISSN :
1091-6490
Publisher :
National Academy of Sciences, Washington, United States - District of Columbia
Volume :
111
Pages :
6521-6526
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 03 June 2015

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