Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Expression data from retroviral vector-infected immortalized mouse embryonic fibroblasts (MEFs)


ABSTRACT: Cultured cancer cells exhibit substantial phenotypic heterogeneity when measured in a variety of ways such as sensitivity to drugs or the capacity to grow under various conditions. Among these, the ability to exhibit anchorage-independent cell growth (colony forming capacity in semisolid media) has been considered to be fundamental in cancer biology because it has been connected with tumor cell aggressiveness in vivo such as tumorigenic and metastatic potentials, and also utilized as a marker for in vitro transformation. Although multiple genetic factors for anchorage-independence have been identified, the molecular basis for this capacity is still largely unknown. To investigate the molecular mechanisms underlying anchorage-independent cell growth, we have used genome-wide DNA microarray studies to develop an expression signature associated with this phenotype. Using this signature, we identify a program of activated mitochondrial biogenesis associated with the phenotype of anchorage-independent growth and importantly, we demonstrate that this phenotype predicts potential for metastasis in primary breast and lung tumors. Keywords: c-Myc or v-Src retroviral vector-infected immortalized mouse embryonic fibroblasts. Expression data of c-Myc and v-Src transformed MEFs was used to validate an expression signature generated from human cultured breast cancer cell lines with anchorage-independent growth ability.

ORGANISM(S): Mus musculus

SUBMITTER: Seiichi Mori 

PROVIDER: E-GEOD-15161 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Anchorage-independent cell growth signature identifies tumors with metastatic potential.

Mori S S   Chang J T JT   Andrechek E R ER   Matsumura N N   Baba T T   Yao G G   Kim J W JW   Gatza M M   Murphy S S   Nevins J R JR  

Oncogene 20090601 31


The oncogenic phenotype is complex, resulting from the accumulation of multiple somatic mutations that lead to the deregulation of growth regulatory and cell fate controlling activities and pathways. The ability to dissect this complexity, so as to reveal discrete aspects of the biology underlying the oncogenic phenotype, is critical to understanding the various mechanisms of disease as well as to reveal opportunities for novel therapeutic strategies. Previous work has characterized the process  ...[more]

Similar Datasets

2009-04-10 | GSE15161 | GEO
2009-04-10 | GSE15026 | GEO
2009-04-10 | E-GEOD-15026 | biostudies-arrayexpress
2009-10-21 | GSE18237 | GEO
2019-11-07 | GSE128388 | GEO
2016-10-27 | E-GEOD-79630 | biostudies-arrayexpress
2016-10-27 | GSE79630 | GEO
2019-02-07 | GSE108304 | GEO
2015-12-31 | GSE64686 | GEO
2015-12-31 | E-GEOD-64686 | biostudies-arrayexpress