Literature DB >> 15168598

Monitoring the expression profiles of doxorubicin-resistant K562 human leukemia cells by serial analysis of gene expression.

Yoshikazu Ichikawa1, Makoto Hirokawa, Namiko Aiba, Naohito Fujishima, Atsushi Komatsuda, Hirobumi Saitoh, Masaaki Kume, Ikuo Miura, Ken-ichi Sawada.   

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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Year:  2004        PMID: 15168598     DOI: 10.1532/ijh97.03133

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  23 in total

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  3 in total

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