Ichikawa Y, Hirokawa M, Aiba N, Fujishima N, Komatsuda A, Saitoh H, Kume M, Miura I, Sawada KI. Monitoring the Expression Profiles of Doxorubicin-Resistant K562 Human Leukemia Cells by Serial Analysis of Gene Expression.
Int J Hematol 2004;
79:276-82. [PMID:
15168598 DOI:
10.1532/ijh97.03133]
[Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
We examined the expression profiles of doxorubicin-resistant K562 cells by serial analysis of gene expression (SAGE) to identify novel and/or partially characterized genes that might be related to drug resistance in human leukemia. SAGE complementary DNA (cDNA) libraries were constructed from K562 and doxorubicin-resistant K562 (K562/ADM) cells, and concatamer sequences were analyzed with SAGE 2000 software. We used 9792 tags in the identification of 1076 different transcripts, 296 of which were similarly expressed in K562 and K562/ADM cells. There were 343 genes more actively expressed in K562/ADM than in parental K562 cells and 437 genes expressed less often in K562/ADM cells. K562/ADM cells showed increased expression of well-known genes, including the genes for spectrin beta, eukaryotic translation initiation factor 1A (EIF1A), RAD23 homolog B, laminin receptor 1, and polyA-, RAN-, and PAI-1 messenger RNA-binding proteins. K562/ADM cells showed decreased expression of the genes for fatty acid desaturase 1 (FADS1), hemoglobin epsilon 1, N-myristoyltransferase 1, hemoglobin alpha 2, NADH dehydrogenase Fe-S protein 6, heat shock 90-kDa protein, and karyopherin beta 1. Quantitative reverse transcription-polymerase chain reaction analysis confirmed the increased expression of EIF1A and the decreased expression of FADS1 in K562/ADM cells. Prior to this investigation, such differences in the expression of these genes in doxorubicin-resistant leukemia cells were unknown. Although we do not provide any evidence in the present report for the potential roles of these genes in drug resistance, SAGE may provide a perspective into our understanding of drug resistance in human leukemia that is different from that provided by cDNA microarray analysis.
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