Vascular endothelial growth factor in porcine-derived extracellular matrix.

An extracellular matrix (ECM) derived from the submucosa of the porcine small intestine (SIS) has been shown to induce angiogenesis and host tissue remodeling when used as a xenogeneic bioscaffold in animal models of wound repair. In the present study, we compared the in vitro effects of SIS ECM extracts to several purified angiogenic growth factors on human dermal microvascular endothelial cell (HMEC) growth patterns. The SIS ECM was shown to induce tube formation from HMEC in a three-dimensional fibrin-based angiogenesis assay in a manner similar to that caused by the addition of vascular endothelial growth factor (VEGF). This tube formation was blocked in the presence of anti-VEGF neutralizing antibody. Western blots and ELISA procedures showed that the SIS ECM contains as much as 0.77 ng VEGF/g SIS. The closely related endothelial cell mitogen, platelet-derived growth factor (PDGF), was not detectable in the SIS extracts. We conclude that VEGF is present in the SIS extracellular matrix. The role of VEGF in SIS-induced wound repair remains unknown, but its presence in the ECM makes it a possible contributor to the angiogenic effect of SIS when this ECM is used as a tissue repair scaffold in animal models of wound repair.

Prostate cancer expression profiling by cDNA sequencing analysis.

Prostate cancer is a frequently diagnosed solid tumor that is originated mostly from prostate epithelium. One of the key issues in prostate cancer research is to develop molecular markers that can effectively detect and distinguish the progression and malignancy of prostate tumors. Automated, single-pass cDNA sequencing was utilized to rapidly identify expressed genes in a number of cDNA libraries constructed from various normal and tumor prostatic tissues. These included cell lines as well as short-term epithelial culture. A total of 6604 expressed sequence tags (ESTs) were generated and searched against on-line nucleotide and protein databases. A relational database centric software system was constructed to process, store, and analyze EST data rapidly. cDNA contigs were also obtained by assembly of multiple EST sequences. Protein structural signatures were annotated using motif analysis tools including BLOCKS and an in-house-designed neural network. Cross-library comparisons revealed their unique gene expression profiles. Several differentially expressed cDNA clones were identified, and their expression patterns were confirmed by RNA dot blot and RT-PCR analyses.