1. Gene expression profile by inhibiting Raf-1 protein kinase in breast cancer cells
- Author
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Rajshree R, Mewani, Song, Tian, Bihua, Li, Malika T, Danner, Theresa D, Carr, Sung, Lee, Aquilur, Rahman, Usha N, Kasid, Mira, Jung, Anatoly, Dritschilo, and Prafulla C, Gokhale
- Subjects
Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,Blotting, Western ,Breast Neoplasms ,Oligonucleotides, Antisense ,Blotting, Northern ,Gene Expression Regulation, Neoplastic ,Proto-Oncogene Proteins c-raf ,Cell Line, Tumor ,Humans ,Female ,RNA, Messenger ,Cells, Cultured ,Oligonucleotide Array Sequence Analysis - Abstract
Raf-1 protein serine-threonine kinase plays an important role in cell growth, proliferation, and cell survival. Previously, we and others have demonstrated that antisense raf oligonucleotide-mediated inhibition of Raf-1 expression leads to tumor growth arrest, radiosensitization and chemosensitization in vivo. Raf-1 inhibition is also associated with apoptotic cell death. In this study, we inhibited Raf-1 using an antisense raf oligonucleotide (AS-raf-ODN) to identify downstream targets of Raf-1 using microarray gene expression analysis. Treatment of MDA-MB-231 breast cancer cells with 250 nM AS-raf-ODN led to significant inhibition of Raf-1 protein (75.2 +/- 9.6%) and c-raf-1 mRNA levels (86.2 +/- 3.3%) as compared to untreated control cells. The lipofectin control or mismatch oligonucleotide had no effect on Raf-1 expression. To determine the changes in gene expression profiles that were due to inhibition of Raf-1, we simultaneously compared the gene expression patterns in AS-raf-ODN treated cells with untreated control cells and cells treated with lipofectin alone or MM-ODN. A total of 17 genes (4 upregulated and 13 down-regulated) including c-raf-1 were identified that were altered after AS-raf-ODN treatment. Functional clustering analysis revealed genes involved in apoptosis (Bcl-XL), cell adhesion (paxillin, plectin, Rho GDIalpha, CCL5), metabolism (GM2A, SLC16A3, PYGB), signal transduction (protein kinase C nu), and transcriptional regulation (HMGA1), and membrane-associated genes (GNAS, SLC16A3). Real-time PCR, Northern analysis and Western analysis confirmed the microarray findings. Our study provides insight into Raf-1 related signaling pathways and a model system to identify potential target genes.
- Published
- 2006