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A physical sciences network characterization of non-tumorigenic and metastatic cells.

Authors :
Agus DB
Alexander JF
Arap W
Ashili S
Aslan JE
Austin RH
Backman V
Bethel KJ
Bonneau R
Chen WC
Chen-Tanyolac C
Choi NC
Curley SA
Dallas M
Damania D
Davies PC
Decuzzi P
Dickinson L
Estevez-Salmeron L
Estrella V
Ferrari M
Fischbach C
Foo J
Fraley SI
Frantz C
Fuhrmann A
Gascard P
Gatenby RA
Geng Y
Gerecht S
Gillies RJ
Godin B
Grady WM
Greenfield A
Hemphill C
Hempstead BL
Hielscher A
Hillis WD
Holland EC
Ibrahim-Hashim A
Jacks T
Johnson RH
Joo A
Katz JE
Kelbauskas L
Kesselman C
King MR
Konstantopoulos K
Kraning-Rush CM
Kuhn P
Kung K
Kwee B
Lakins JN
Lambert G
Liao D
Licht JD
Liphardt JT
Liu L
Lloyd MC
Lyubimova A
Mallick P
Marko J
McCarty OJ
Meldrum DR
Michor F
Mumenthaler SM
Nandakumar V
O'Halloran TV
Oh S
Pasqualini R
Paszek MJ
Philips KG
Poultney CS
Rana K
Reinhart-King CA
Ros R
Semenza GL
Senechal P
Shuler ML
Srinivasan S
Staunton JR
Stypula Y
Subramanian H
Tlsty TD
Tormoen GW
Tseng Y
van Oudenaarden A
Verbridge SS
Wan JC
Weaver VM
Widom J
Will C
Wirtz D
Wojtkowiak J
Wu PH
Source :
Scientific reports [Sci Rep] 2013; Vol. 3, pp. 1449.
Publication Year :
2013

Abstract

To investigate the transition from non-cancerous to metastatic from a physical sciences perspective, the Physical Sciences-Oncology Centers (PS-OC) Network performed molecular and biophysical comparative studies of the non-tumorigenic MCF-10A and metastatic MDA-MB-231 breast epithelial cell lines, commonly used as models of cancer metastasis. Experiments were performed in 20 laboratories from 12 PS-OCs. Each laboratory was supplied with identical aliquots and common reagents and culture protocols. Analyses of these measurements revealed dramatic differences in their mechanics, migration, adhesion, oxygen response, and proteomic profiles. Model-based multi-omics approaches identified key differences between these cells' regulatory networks involved in morphology and survival. These results provide a multifaceted description of cellular parameters of two widely used cell lines and demonstrate the value of the PS-OC Network approach for integration of diverse experimental observations to elucidate the phenotypes associated with cancer metastasis.

Details

Language :
English
ISSN :
2045-2322
Volume :
3
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
23618955
Full Text :
https://doi.org/10.1038/srep01449