The study characterizes the rat IGFBP-2 gene structure and identifies a functional, TATA-less, GC-rich promoter region.
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We have isolated clones encoding the rat insulin-like growth factor-binding protein-2 (IGFBP-2) gene and determined its organization and nucleotide sequence. The rat IGFBP-2 gene spans at least 8 kilobases and consists of four exons, each of which contains protein-coding sequences. The amino acid sequences of exons 1, 3, and 4 are 32-50% identical to the corresponding exons of human IGFBP-1 and IGFBP-3, and 87-91% identical to those of human IGFBP-2. The 18 cysteines in the mature binding proteins are conserved. Exon 2 shows negligible homology. Primer-extended reverse transcription indicated that the 5' end of IGFBP-2 mRNA is 151 nucleotides up-stream from the translation start site [designated nucleotide (nt) -151]. Consistent with this result, IGFBP-2 mRNA protected a genomic fragment terminating at approximately nt -148, as well as smaller fragments. A 1260 nt fragment containing 1144 nt of 5' flanking region had promoter activity when inserted in the correct orientation into a plasmid containing a promoterless luciferase reporter gene and transiently transfected into BRL-3A rat liver cells, which express IGFBP-2, but not when transfected into H4-II-E cells, which do not express IGFBP-2. The IGFBP-2 gene lacks a TATA box immediately up-stream from the transcription initiation site. It is GC rich (66% between nt -270 and +385) and contains GC boxes that might be recognized by transcription factors Sp1 or ETF. The promoter region contains multiple direct and indirect repeats. One direct repeat contains a variant Sp1 site (-158 to -150) near the consensus Sp1 site at nt -138 to -130. The 5' flanking region also contains motifs that might be recognized by transcription factors AP-1 (Jun/Fos), AP-2, and liver factor B1. The role of these sites in basal and regulated expression of the IGFBP-2 gene remains to be determined.
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No immediate clinical application; leaves open whether rat IGFBP-2 promoter features translate to human cardiometabolic regulation or therapies.
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Brown et al. (1990) studied this question.
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