Effects of basic fibroblast growth factor on the expressions of angiogenic gene profile and cyclooxygenase-2 in brain microvascular endothelial cells.
The present study aimed to investigate the effects of basic fibroblast growth factor (bFGF) on the expressions of angioge-nesis-related genes in a mouse brain microvascular endothelial cell line, namely bEnd.3, using cDNA microarray. The effects of bFGF (10 ng/ml) on mRNA and protein expressions of cyclooxygenase-2 (COX-2), an angiogenesis bystander molecule, were further investigated. cDNA microarray was employed to study the effects of bFGF on the expressions of angiogenic genes in a high throughput pattern. RT-PCR was used to study the effect of bFGF on COX-2 mRNA expression. Western blot and immunocytochemistry were utilized to study the effect of bFGF on COX-2 protein expression. The results showed that, 2 h after bFGF treatment, pro-angiogenic genes (Adamts1, MMP-9, Ang-1, PDGF B, G-CSF, FGF16, IGF-1, etc.) were significantly upregulated, whereas anti-angiogenic genes (TIMP-2, TSP-3, etc.) were significantly downregulated. The bystander molecule in angiogenic pathway COX-2 mRNA and protein expressions were significantly upregulated after bFGF treatment. It is suggested that triggering angiogensis switch through upregulating pro-angiogenic gene and downregulating anti-angiogenic gene expression is one of the major mechanisms of bFGF-induced angiogenesis. The expression change of COX-2, as a bystander molecule, was observed after bFGF treatment in bEnd.3 cells and the significance was discussed. (+info)
Stress-dependent coordination of transcriptome and translatome in yeast.
Identification and classification of small RNAs in transcriptome sequence data.
Current methods for high throughput sequencing (HTS) for the first time offer the opportunity to investigate the entire transcriptome in an essentially unbiased way. In many species, small non-coding RNAs with specific secondary structures constitute a significant part of the transcriptome. Some of these RNA classes, in particular microRNAs and snoRNAs, undergo maturation processes that lead to the production of shorter RNAs. After mapping the sequences to the reference genome specific patterns of short reads can be observed. These read patterns seem to reflect the processing and thus are specific for the RNA transcripts of which they are derived from. We explore here the potential of short read sequence data in the classification and identification of non-coding RNAs. (+info)
The transcriptome of human monocyte subsets begins to emerge.