Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression profiling of anti-human VEGF-treated tumor xenografts formed by IGROV-1 or SKOV3 cells

ABSTRACT: This microarray experiment was designed to identify genes and pathways modulated in ovarian cancer xenografts treated with anti-human VEGF mAb (Bevacizumab). Tumors were established in NOD/SCID mice by s.c. injection of human ovarian cancer cells (IGROV-1 and SKOV3). Mice were treated with the anti-VEGF monoclonal antibody Bevacizumab or with PBS (control). Total RNA was extracted from tumor samples and hybridized on Affymetrix GeneChip™ PrimeView™ Human Gene Expression Arrays. Each sample was derived from a different mouse (n=5 mice/group). In order to evaluate the effects of the anti-human VEGF mAb in the two models, expression data of IGROV-1 and SKOV3 derived tumors were normalized and analyzed separately. Raw microarray data, preprocessed data matrix and results of differential expression analysis are available together with the applied protocols.

ORGANISM(S): Homo sapiens

SUBMITTER: Angela Grassi

PROVIDER: E-MTAB-7683 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:VEGF165 is one of the key regulators of tumor development. Using HCT116 cells transfected with full-length vegf mRNA, full-length vegf mRNA with mutations of H9D and L14E, mutated vegf mRNAs lacking untranslated regions (UTRs), and 5â??UTR mutated between nt 591 and nt 746, we found that vegf 5â??UTR resided an anti-apoptotic activity against chemotherapy independently of VEGF165. We next established HCT116 clones stably expressing vegf 5â??UTR or the mutated vegf 5â??UTR. The cells expressing 5â??UTR, but not the mutated UTR, showed the drug-resistant phenotype, anchorage-independent growth, and rapid tumor growth when implanted in athymic nude mice. Microarray and real-time PCR showed that the vegf 5â??UTR-expressing tumors up-regulated anti-apoptotic genes including mia and down-regulated pro-apoptotic genes including fas, pdcd1, nrg1, and bax. Microarray analysis also revealed specific down-regulation of IFN-inducible genes (43 genes) in the growing tumors. HCT116 cells stably transcribing vegf 5â??UTR decreased STAT1 expression and IFN alpha-STAT1 pathway. In addition to 5-fluorouracil treatment, the vegf 5â??UTR-expressing tumors did not respond to IFN alpha therapy at all. This novel tumor-promoting function in the vegf 5â??UTR may partly explain the insufficiency of the VEGF-VEGFR strategies and suggest a vegf-targeted silencing strategy as a more effective anti-tumor therapy. Experiment Overall Design: We established HCT116 clones stably expressing vegf 5â??UTR (vegf 5â??-G5) and vegf 5â??UTR mutated between nt 591 and nt 746 (vegf 5â?? mut-D5) and implanted into the left and the right flanks of the identical mouse, respectively. The generated tumors on day 14 after injection were removed and total RNA was extracted from each tumor using RNeasy mini (Qiagen). After removing contaminated DNA by DNaseI treatment, 10 micro grams each of RNA of vegf 5â??-G5-derived tumor from 3 individual mice was mixed and prepared for microarray analysis as sample RNA. The reference RNA of vegf 5â?? mut-D5-derived tumor was arranged in the same manner. The quality of both RNA samples was confirmed using an Agilent 2100 Bioanalyzer. Microarray analysis was then performed: briefly, 1 Âµg of sample RNA (vegf 5â??-G5) and reference RNA (vegf 5â?? mut-D5) were converted to cDNA with oligo dT conjugated T7 promoter primer and reverse transcriptase. These cDNAs were amplified using T7 RNA polymerase while labeling with either Cy5-CTP or Cy3-CTP (Low RNA Fluorescent Linear Amplification Kit, Agilent Technologies). 750 ng of Cy3 and Cy5-labeled cRNA were mixed and hybridized on an Agilent 22k human 1A array in a hybridization oven at 65oC for 17 h as rotating. Following hybridization and washing of a slide according to manufactureâ??s protocol, the arrays were scanned using the Agilent DNA Microarray Scanner (G2565BA) and microarray images were analyzed using Agilent Feature Extraction Software (v7.5). The final signal intensity was resulted from subtracting background signal from row spot signal. The gene expression level was presented as ratio of sample intensity against reference intensity.

Dataset Information

Gene expression profiling of anti-human VEGF-treated tumor xenografts formed by IGROV-1 or SKOV3 cells

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets