Cutler Paul
Medicine Research Centre, GlaxoSmithKline Pharmaceuticals, Stevenage, Herts, UK.
Proteomics. 2003 Jan;3(1):3-18. doi: 10.1002/pmic.200390007.
The completion of projects for sequencing whole genomes such as those of human, Saccaromyces cerevisiae and Caenorhabditis elegans has led to a rapid increase in the availability of genetic information. The technology by which such information is acquired is having a major impact on the way we think about analysing the RNA and protein products of the gene transcription. Transcriptome analysis has, via microarray technology, managed to achieve a near genomic scale quantitative analysis of mRNA levels. Several other technologies such as quantitative reverse transcriptase polymerase chain reaction and representational differential analysis are also available for analysing gene products. Traditionally, protein analysis has been performed by assaying one particular protein at a time, with very little parallel analysis. As protein function is a direct consequence of the protein product of the gene and as mRNA levels do not always correlate well with protein, it is desirable to analyse the entire protein complement of a cell etc. on a similar scale to mRNA. Despite the clear interest in analysing the expression, structure and function of proteins at a genomic scale, they have proven less amenable to such generic, high-throughput approaches. This review highlights the current thinking in the area of proteome analysis and considers the potential for future technology development in the area of protein arrays.
人类、酿酒酵母和秀丽隐杆线虫等全基因组测序项目的完成,使得遗传信息的可获取量迅速增加。获取此类信息的技术正在对我们思考基因转录的RNA和蛋白质产物分析方式产生重大影响。转录组分析通过微阵列技术,已实现了对mRNA水平近乎基因组规模的定量分析。还有其他几种技术,如定量逆转录聚合酶链反应和代表性差异分析,也可用于分析基因产物。传统上,蛋白质分析是一次检测一种特定蛋白质,很少进行平行分析。由于蛋白质功能是基因蛋白质产物的直接结果,且mRNA水平与蛋白质水平并不总是具有良好的相关性,因此希望能以与mRNA类似的规模分析细胞等的整个蛋白质组。尽管在基因组规模上分析蛋白质的表达、结构和功能具有明显的吸引力,但事实证明它们不太适合这种通用的高通量方法。本综述重点介绍了蛋白质组分析领域的当前思路,并探讨了蛋白质阵列领域未来技术发展的潜力。