Diverse transcription factors are involved in the quantitative regulation of transcriptional activation of χ promoters
Mats Bemark, Tomas Leanderson
Abstract
Mats Bemark, Tomas Leanderson
Abstract
Immunoglobulin kappa promoters show sequence divergence but conserved function between different subgroups. Here we show that three separate 5' elements are required for synergistic stimulation of transcription with the decamer in a kappa promoter. These sites are a 5' E-box, a 3' AT-rich region in the pentadecamer (pd) element, and the kappa-Y element. Elf-1 is a novel kappa-Y element ligand induced upon mitogenic stimulation of resting B lymphocytes. Furthermore, the 5' E2A-like E-box in the pd element could be substituted by an upstream stimulatory factor motif with conservation of function. Thus, the synergistic activation requirements of kappa transcription is strictly dependent on the quantitative presence of transcription factor-binding motifs 5' of the decamer, but these differ qualitatively in that they may bind an array of proteins with conserved function.
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Immunoglobulin kappa promoters show sequence divergence but conserved function between different subgroups. Here we show that three separate 5' elements are required for synergistic stimulation of transcription with the decamer in a kappa promoter. These sites are a 5' E-box, a 3' AT-rich region in the pentadecamer (pd) element, and the kappa-Y element. Elf-1 is a novel kappa-Y element ligand induced upon mitogenic stimulation of resting B lymphocytes. Furthermore, the 5' E2A-like E-box in the pd element could be substituted by an upstream stimulatory factor motif with conservation of function. Thus, the synergistic activation requirements of kappa transcription is strictly dependent on the quantitative presence of transcription factor-binding motifs 5' of the decamer, but these differ qualitatively in that they may bind an array of proteins with conserved function.
Key concepts: Biology, Promoter, Transcription factor, Transcription (linguistics), Transcriptional regulation, Cell biology, Genetics, Computational biology