Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptional profiling of a novel pro-angiogenic small molecule phthalimide neovascular factor 1 (PNF1)


ABSTRACT: We generated the transcriptional regulatory footprint of phthalimide neovascular factor 1 (PNF1)—a novel synthetic small molecule that exhibits significant in vitro endothelial potency and significant in vivo microvascular network expansion—by performing comparative microarray analysis on PNF1-stimulated (versus control) human microvascular endothelial cells (HMVEC) spanning 1-48 h post-supplementation. We subsequently applied network analysis tools (including substantial libraries of information regarding known associations among network components) to elucidate key signaling components and pathways involved in the PNF1 mechanism-of-action. We identified that PNF1 first induces function of the tumor necrosis factor-alpha (TNF-α) signaling pathway, which in turn affects transforming growth factor-beta (TGF-β) signaling. HMVEC (Cambrex, Walkersville, MD, USA) were cultured in endothelial growth medium 2-microvascular (bulletkit, BioWhittaker, Walkersville, MD, USA) supplemented as directed with 5% fetal bovine serum. The cells (passage 9) were plated at 2.5 x 104 cells/cm2 at 37 degrees Celsius in a humidified chamber with 5% carbon dioxide. They were grown to confluence. After confluence, medium was refreshed, and 30 µM PNF1 or 0.6% dimethyl sulfoxide (DMSO) vehicle control was added to the sample. Total RNA from the PNF1 (n=1 at each timepoint) and control (n=1 at each timepoint) samples was isolated 1, 2, 4, 8, 16, 24 and 48 h post-supplementation using an RNeasy kit (Qiagen, Inc., Valencia, CA, USA) according to the manufacturer's protocol.

ORGANISM(S): Homo sapiens

SUBMITTER: Erwin Gianchandani 

PROVIDER: E-GEOD-17119 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Novel pathway compendium analysis elucidates mechanism of pro-angiogenic synthetic small molecule.

Wieghaus Kristen A KA   Gianchandani Erwin P EP   Paige Mikell A MA   Brown Milton L ML   Botchwey Edward A EA   Papin Jason A JA  

Bioinformatics (Oxford, England) 20080821 20


<h4>Motivation</h4>Computational techniques have been applied to experimental datasets to identify drug mode-of-action. A shortcoming of existing approaches is the requirement of large reference databases of compound expression profiles. Here, we developed a new pathway-based compendium analysis that couples multi-timepoint, controlled microarray data for a single compound with systems-based network analysis to elucidate drug mechanism more efficiently.<h4>Results</h4>We applied this approach to  ...[more]

Publication: 1/3

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