Kim Hyung-Lae
Department of Biochemistry, College of Medicine, Ewha Womans University, Seoul, Korea.
Exp Mol Med. 2003 Oct 31;35(5):460-6. doi: 10.1038/emm.2003.60.
For the comprehensive analysis of transcript expression, the array-based hybridization analysis and the serial analysis of gene expression (SAGE) are commonly used platforms. The SAGE is based on a high-throughput sequencing of ditags derived from the transcript. DNA microarrays are a powerful tool for monitoring thousands of transcripts simultaneously, whereas the Genechip (Affimatrix microarray) technology is based on the hybridization of a single probe or other manufacturer's microarrays (cDNA- or oligonucleotide-microarray) procedures include the competitive hybridization of two probes. In this study, the quantitative accuracy of expression using oligonucleotide-microarray was determined by comparing data set from the SAGE. In previous study the microSAGE was performed for the megakaryocytes and non- megakaryocytes derived from human cord blood CD34+ cells by ex vivo expansion using thrombopoietin, and a total of 38,909 tags representing 8,976 unique genes were obtained. On the identical RNA, expression profiling was also carried out using oligonucleotide-microarray (MAGIC II 10K chip, Macrogen). The most frequently expressed genes in human megakaryocytes were identified as platelet factor 1 followed by annexin A1, ribosomal protein S23. The majority of the 50 most highly expressed genes in the CD34+-derived megakaryocytes were those involved in protein synthesis, e.g., ribosomal proteins. The expression level through the single channel of oligonucleotide-microarray and SAGE have a fairly good correlation in terms of absolute analyses and that the correlation is higher for the genes with higher expression levels.
对于转录本表达的综合分析,基于芯片的杂交分析和基因表达序列分析(SAGE)是常用的平台。SAGE基于从转录本衍生的双标签的高通量测序。DNA微阵列是同时监测数千个转录本的强大工具,而基因芯片(Affimatrix微阵列)技术基于单个探针的杂交,其他制造商的微阵列(cDNA或寡核苷酸微阵列)程序包括两个探针的竞争性杂交。在本研究中,通过比较SAGE数据集来确定使用寡核苷酸微阵列进行表达定量的准确性。在先前的研究中,通过使用血小板生成素进行体外扩增,对源自人脐带血CD34+细胞的巨核细胞和非巨核细胞进行了微SAGE分析,共获得了代表8976个独特基因的38909个标签。在相同的RNA上,也使用寡核苷酸微阵列(MAGIC II 10K芯片,Macrogen)进行了表达谱分析。人类巨核细胞中最常表达的基因被确定为血小板因子1,其次是膜联蛋白A1、核糖体蛋白S23。在CD34+衍生的巨核细胞中,50个表达最高的基因中的大多数是参与蛋白质合成的基因,例如核糖体蛋白。就绝对分析而言,寡核苷酸微阵列单通道和SAGE的表达水平具有相当好的相关性,并且对于表达水平较高的基因,相关性更高。