Related Experiment Video
Updated: Aug 10, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
Published on: October 19, 2014
Genome-wide analysis of gene-expression profiles in chronic myeloid leukemia cells using a cDNA microarray
Yasuyuki Kaneta1, Yoshitoyo Kagami, Tatsuhiko Tsunoda
1Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Abstract:
To characterize molecular mechanisms operating in chronic myeloid leukemia (CML) cells with a view toward development of novel therapeutic targets, we analyzed gene-expression profiles of cancer cells from 27 CML patients using a cDNA microarray representing 23,040 human genes. By comparing expression patterns of CML with those of normal cells, we identified 150 genes that were commonly highly up-regulated in CML cells. In addition to 54 genes (34 of them ESTs) whose functions are currently unknown, the up-regulated elements included genes encoding cell-cycle regulators, transcriptional activators, transcriptional factors, and protein kinases as well as proteins already known to be induced in CML, such as some hemoglobins, haptoglobin (HP1), and matrix metalloproteinase 9 (MMP-9), a protein involved in tissue remodeling and tumor invasion. On the other hand, our protocol selected 106 genes, including 13 of unknown function, as being commonly significantly down-regulated in all phases of CML. The results of semiquantitative RT-PCR experiments with 11 representatives of the up-regulated group supported the reliability of our microarray analysis. These data should provide useful information for finding candidate genes whose products might serve as molecular targets for treatment of CML patients.
More Related Videos
13:21Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
09:34A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
Published on: October 25, 2018