Hubank Michael, Bryntesson Fredrik, Regan Jennifer, Schatz David G
Molecular Hematology and Cancer Biology Unit, Institute of Child Health, University College London, UK.
Methods Mol Biol. 2004;282:255-73. doi: 10.1385/1-59259-812-9:255.
Apoptosis is frequently triggered by events that alter the expression of key target genes. Under these circumstances, the genes involved can be identified by techniques that analyze gene expression. Researchers now have a choice of reliable and effective methods for differential gene expression analysis. Comparative approaches, including gene microarray analysis, serial analysis of gene expression, and differential display provide global information about expression levels. Subtractive approaches like complementary DNA representational difference analysis (cDNA RDA) and suppression subtraction polymerase chain reaction identify a focused set of differentially expressed genes. The most suitable technique to apply depends on individual circumstances. cDNA RDA is particularly useful in nonstandard model organisms for which comprehensive gene microarrays are not available and is best used for the identification of genes with a large difference in expression levels between two populations. The technique involves the generation of amplified mixtures of cDNA fragments that are typically smaller than 1000 base pairs and represent >86% of mRNA species from each starting population. Transcriptional differences between two populations can then be identified by subtraction of cDNA amplicons followed by further polymerase chain reaction amplification. The technique is capable of detecting differences for genes expressed at less than one copy per cell and is achievable using standard laboratory apparatus. cDNA RDA can identify genes not previously described in the database, can detect low abundance transcripts (e.g., from mixed cell populations), and is best applied in experiments where relatively few differentially expressed genes are expected. Here, we describe the application of cDNA RDA to the identification of apoptosis-related genes.
细胞凋亡常常由改变关键靶基因表达的事件触发。在这种情况下,可通过分析基因表达的技术来鉴定相关基因。如今,研究人员在进行差异基因表达分析时有多种可靠且有效的方法可供选择。比较方法,包括基因微阵列分析、基因表达序列分析和差异显示,能提供有关表达水平的全局信息。消减方法,如互补DNA代表性差异分析(cDNA RDA)和抑制消减聚合酶链反应,可鉴定出一组特定的差异表达基因。最适合应用的技术取决于具体情况。cDNA RDA在没有全面基因微阵列的非标准模式生物中特别有用,最适合用于鉴定两个群体之间表达水平差异较大的基因。该技术涉及生成通常小于1000个碱基对的cDNA片段扩增混合物,这些片段代表每个起始群体中>86%的mRNA种类。然后,通过减去cDNA扩增子并进一步进行聚合酶链反应扩增,可鉴定两个群体之间的转录差异。该技术能够检测每个细胞中表达量少于一个拷贝的基因的差异,使用标准实验室设备即可实现。cDNA RDA可以鉴定数据库中先前未描述的基因,能够检测低丰度转录本(例如,来自混合细胞群体),并且最适用于预期差异表达基因相对较少的实验。在此,我们描述cDNA RDA在鉴定凋亡相关基因中的应用。