Journal of Biological Chemistry · 2003 · 14 citations · 45 references
Life SciencesCell BiologyMolecular BiologyCell SignalingGene ExpressionMolecular Cell BiologyChromatinLeukocyte RecruitmentAcute Promyelocytic LeukemiaProteoglycan Biology
We mapped the DNase I-hypersensitive sites (DHSS) of the serglycin gene in resting and phorbol 12-myristate 13-acetate (PMA)-stimulated human erythroleukemia (HEL) and CHRF 288-11 cells, which have megakaryocytic characteristics, and HL-60 promyelocytic leukemia cells. We compared these DHSS with those of normal primary neutrophils and human umbilical vein endothelial cells. Several DHSS appear to be involved in regulating the level of endogenous expression and in the PMA response of hematopoietic cell lines. A DHSS unique to resting HL-60 cells and induced in CHRF 288-11 by PMA may explain the high degree of endogenous expression in HL-60 relative to HEL and CHRF (Schick, B. P., Petrushina, I., Brodbeck, K. C., and Castronuevo, P. (2001) J. Biol. Chem. 276, 24726-24735). A total of 4 DHSS in intron 1 and 6 in intron 2 are associated with the PMA response in a cell-specific manner. A DHSS in the 5'-flanking region and another in intron 1 lie in areas that have high homology with the orthologous murine serglycin locus and are rich in potential transcription factor binding sites. One DHSS in intron 1 and one in intron 2 are located within Alu repeats. Two DHSS found in DNA of normal primary neutrophils were different from those of the cell lines. One DHSS in exon 2 unique to neutrophils correlated with a previously unrecognized alternative splicing that removes exon 2. Human umbilical vein endothelial cells had a DHSS in intron 1 that was common with the cell lines. The different patterns of DHSS exhibited by the cells studied suggest that cell- and differentiation-specific alterations in chromatin structure may control serglycin gene expression.
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Initial sequencing and analysis of the human genome
Eric S. Lander, Lauren Linton, Bruce W. Birren et al. · Nature · 2001 · 24.6K citations · Full text
<i>VISTA</i> : visualizing global DNA sequence alignments of arbitrary length
Chris Mayor, Michael Brudno, Jody R. Schwartz et al. · Bioinformatics · 2000 · 1.1K citations · Full text