Lipomas are one of the most common mesenchymal neoplasms in humans. They are characterized by consistent cytogenetic aberrations involving chromosome 12 in bands q14-15. Interestingly, this region is also the site of rearrangement for other mesenchymally derived tumors. This study demonstrates that HMGI-C, an architectural factor that functions in transcriptional regulation, has been disrupted by rearrangement at the 12q14-15 chromosomal breakpoint in lipomas. Chimeric transcripts were isolated from two lipomas in which HMGI-C DNA-binding domains (AT hook motifs) are fused to either a LIM or an acidic transactivation domain. These results, identifying a gene rearranged in a benign neoplastic process that does not proceed to a malignancy, suggest a role for HMGI-C in adipogenesis and mesenchyme differentiation.

RNA arbitrarily primed PCR (RAP-PCR) was used to isolate cDNAs that represent developmentally regulated brain-specific genes. Five clones with a restricted pattern of expression were identified and sequenced. Four cDNAs had no obvious homology to the sequences in GenBank. One clone had over 95% homology to a Ca2+/calmodulin-insensitive adenylyl cyclase, a recently cloned gene that was isolated from rat brain and was shown to be expressed only in adult brain and lung. Two novel cDNAs were investigated further by Northern blot analysis and were found to be expressed differentially during development; their expression was confined to the forebrain in the adult mouse. Further characterization by in situ hybridization showed that the mRNA corresponding to one clone was localized to a limited number of differentiating functional structures in the developing nervous system. In the adult brain, this message is confined to the forebrain with the highest level of expression in the cortex. These data suggest that the product of this gene is involved in the establishment of neuronal networks during brain development and in synaptic plasticity in the mature cortex. This work demonstrates that RAP-PCR is a powerful method for the simultaneous detection of differences between multiple RNA populations and, as such, can be used to study differential gene expression in the brain.