Literature DB >> 12875902

Comparison of the gene expression profiles of monocytic versus granulocytic lineages of HL-60 leukemia cell differentiation by DNA microarray analysis.

Ju Han Song1, Jong Man Kim, Seung Hyun Kim, Hyeoung Joon Kim, Jae Jung Lee, Myung Hui Sung, Seung Yong Hwang, Tae Sung Kim.   

Abstract

It is now recognized that precise patterns of differentially expressed genes ultimately direct a particular cell toward a given lineage. In this study, we compared the expression profiles of cancer-related genes by cDNA microarray analysis during the differentiation of human promyelocytic leukemia HL-60 cells into either monocytes or granulocytes. RNA was isolated at times 0, 6, 12, 24, 36, 48, and 72 h following stimulation of differentiation with all-trans retinoic acid (all-trans RA) or 1,25-dihydroxyvitamin D(3) [1,25-(OH)(2)D(3)], and hybridized to the microarray gene chips containing 872 genes related to cell-cycles, oncogenes and leukemias. Several genes were commonly or differentially regulated during cell differentiation into either lineage, as demonstrated by both hierarchical and self-organizing map clustering analysis. At 72 h the expression levels of 45 genes were commonly up- or down-regulated at least a twofold in both lineages. Most importantly, 32 genes including alpha-L-fucosidase gene and adducin gamma subunit gene were up- or down-regulated only in all-trans RA-treated HL-60 cells, while 12 genes including interleukin 1beta and hypoxia-inducible factor 1alpha were up- or down-regulated only in 1,25-(OH)(2)D(3)-treated HL-60 cells. The expression of selected genes was confirmed by Northern blot analysis. As expected, some genes identified have not been examined during HL-60 cell differentiation into either lineage. The identification of genes associated with a specific differentiation lineage may give important insights into functional and phenotypic differences between two lineages of HL-60 cell differentiation.

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Year:  2003        PMID: 12875902     DOI: 10.1016/s0024-3205(03)00515-0

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  4 in total

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4.  Differential analysis for high density tiling microarray data.

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  4 in total

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