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Differential Angiogenic Gene Expression in TP53 Wild-Type and Mutant Ovarian Cancer Cell Lines.

Brittany Anne Davidson | Jennifer M Rubatt | David L Corcoran | Deanna K Teoh | Marcus Q Bernardini | Lisa A Grace | William John Soper | Andrew Berchuck | Sharareh Siamakpour-Reihani | Wei Chen | Kouros Owzar | Susan K Murphy | Angeles Alvarez Secord
Frontiers in oncology | 2014

Underlying mechanisms regulating angiogenesis in ovarian cancer have not been completely elucidated. Evidence suggests that the TP53 tumor suppressor pathway and tumor microenvironment play integral roles. We utilized microarray technology to study the interaction between TP53 mutational status and hypoxia on angiogenic gene expression.

Pubmed ID: 24999452

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA014236

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R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

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A2780 (tool)

RRID:CVCL_0134

Cell line A2780 is a Cancer cell line with a species of origin Homo sapiens (Human)

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