Wilson K E, Ryan M M, Prime J E, Pashby D P, Orange P R, O'Beirne G, Whateley J G, Bahn S, Morris C M
MRC Building, Newcastle General Hospital, Westgate Road, Newcastle upon Tyne, UK.
J Neurol Neurosurg Psychiatry. 2004 Apr;75(4):529-38. doi: 10.1136/jnnp.2003.026260.
The sequencing of the complete genome for many organisms, including man, has opened the door to the systematic understanding of how complex structures such as the brain integrate and function, not only in health but also in disease. This blueprint, however, means that the piecemeal analysis regimes of the past are being rapidly superseded by new methods that analyse not just tens of genes or proteins at any one time, but thousands, if not the entire repertoire of a cell population or tissue under investigation. Using the most appropriate method of analysis to maximise the available data therefore becomes vital if a complete picture is to be obtained of how a system or individual cell is affected by a treatment or disease. This review examines what methods are currently available for the large scale analysis of gene and protein expression, and what are their limitations.
对包括人类在内的许多生物体的全基因组进行测序,为系统理解诸如大脑等复杂结构如何整合及发挥功能打开了大门,不仅涉及健康状态,还包括疾病状态。然而,这一蓝图意味着过去那种零散的分析方法正迅速被新方法所取代,新方法不再是每次仅分析几十个基因或蛋白质,而是能分析数千个,甚至是所研究细胞群体或组织的全部组成部分。因此,如果要全面了解一个系统或单个细胞如何受到治疗或疾病的影响,使用最合适的分析方法以最大化可用数据就变得至关重要。本综述探讨了目前可用于大规模分析基因和蛋白质表达的方法以及它们的局限性。