A physical sciences network characterization of non-tumorigenic and metastatic cells View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

David B Agus, Jenolyn F Alexander, Wadih Arap, Shashanka Ashili, Joseph E Aslan, Robert H Austin, Vadim Backman, Kelly J Bethel, Richard Bonneau, Wei-Chiang Chen, Chira Chen-Tanyolac, Nathan C Choi, Steven A Curley, Matthew Dallas, Dhwanil Damania, Paul C W Davies, Paolo Decuzzi, Laura Dickinson, Luis Estevez-Salmeron, Veronica Estrella, Mauro Ferrari, Claudia Fischbach, Jasmine Foo, Stephanie I Fraley, Christian Frantz, Alexander Fuhrmann, Philippe Gascard, Robert A Gatenby, Yue Geng, Sharon Gerecht, Robert J Gillies, Biana Godin, William M Grady, Alex Greenfield, Courtney Hemphill, Barbara L Hempstead, Abigail Hielscher, W Daniel Hillis, Eric C Holland, Arig Ibrahim-Hashim, Tyler Jacks, Roger H Johnson, Ahyoung Joo, Jonathan E Katz, Laimonas Kelbauskas, Carl Kesselman, Michael R King, Konstantinos Konstantopoulos, Casey M Kraning-Rush, Peter Kuhn, Kevin Kung, Brian Kwee, Johnathon N Lakins, Guillaume Lambert, David Liao, Jonathan D Licht, Jan T Liphardt, Liyu Liu, Mark C Lloyd, Anna Lyubimova, Parag Mallick, John Marko, Owen J T McCarty, Deirdre R Meldrum, Franziska Michor, Shannon M Mumenthaler, Vivek Nandakumar, Thomas V O'Halloran, Steve Oh, Renata Pasqualini, Matthew J Paszek, Kevin G Philips, Christopher S Poultney, Kuldeepsinh Rana, Cynthia A Reinhart-King, Robert Ros, Gregg L Semenza, Patti Senechal, Michael L Shuler, Srimeenakshi Srinivasan, Jack R Staunton, Yolanda Stypula, Hariharan Subramanian, Thea D Tlsty, Garth W Tormoen, Yiider Tseng, Alexander van Oudenaarden, Scott S Verbridge, Jenny C Wan, Valerie M Weaver, Jonathan Widom, Christine Will, Denis Wirtz, Jonathan Wojtkowiak, Pei-Hsun Wu

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. More... »

PAGES

1449

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep01449

DOI

http://dx.doi.org/10.1038/srep01449

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016369868

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23618955


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/srep01449'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep01449'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep01449'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep01449'


 

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