Identification of diverse nerve growth factor-regulated genes by serial analysis of gene expression (SAGE) profiling

Neurotrophic factors such as nerve growth factor (NGF) promote a wide variety of responses in neurons, including differentiation, survival, plasticity, and repair. Such actions often require changes in gene expression. To identify the regulated genes and thereby to more fully understand the NGF mechanism, we carried out serial analysis of gene expression (SAGE) profiling of transcripts derived from rat PC12 cells before and after NGF-promoted neuronal differentiation. Multiple criteria supported the reliability of the profile. Approximately 157,000 SAGE tags were analyzed, representing at least 21,000 unique transcripts. Of these, nearly 800 were regulated by 6-fold or more in response to NGF. Approximately 150 of the regulated transcripts have been matched to named genes, the majority of which were not previously known to be NGF-responsive. Functional categorization of the regulated genes provides insight into the complex, integrated mechanism by which NGF promotes its multiple actions. It is anticipated that as genomic sequence information accrues the data derived here will continue to provide information about neurotrophic factor mechanisms.

Heterogeneity in polyadenylation cleavage sites in mammalian mRNA sequences: implications for SAGE analysis

The analysis of a human thyroid serial analysis of gene expression (SAGE) library shows the presence of an abundant SAGE tag corresponding to the mRNA of thyroglobulin (TG). Additional, less abundant tags are present that can not be linked to any other known gene, but show considerable homology to the wild-type TG tag. To determine whether these tags represent TG mRNA molecules with alternative cleavage, 3′-RACE clones were sequenced. The results show that the three putative TG SAGE tags can be attributed to TG transcripts and reflect the use of alternative polyadenylation cleavage sites downstream of a single polyadenylation signal in vivo. By screening more than 300 000 sequences corresponding to human, mouse and rat transcripts for this phenomenon we show that a considerable percentage of mRNA transcripts (44% human, 22% mouse and 22% rat) show cleavage site heterogeneity. When analyzing SAGE-generated expression data, this phenomenon should be considered, since, according to our calculations, 2.8% of human transcripts show two or more different SAGE tags corresponding to a single gene because of alternative cleavage site selection. Both experimental and in silico data show that the selection of the specific cleavage site for poly(A) addition using a given polyadenylation signal is more variable than was previously thought.