Reinartz Jeanette, Bruyns Eddy, Lin Jing-Zhong, Burcham Tim, Brenner Sydney, Bowen Ben, Kramer Michael, Woychik Rick
Lynx Therapeutics, GmbH, Germany.
Brief Funct Genomic Proteomic. 2002 Feb;1(1):95-104. doi: 10.1093/bfgp/1.1.95.
Massively parallel signature sequencing (MPSS) is one of the newest tools available for conducting in-depth expression profiling. MPSS is an open-ended platform that analyses the level of expression of virtually all genes in a sample by counting the number of individual mRNA molecules produced from each gene. There is no requirement that genes be identified and characterised prior to conducting an experiment. MPSS has a routine sensitivity at a level of a few molecules of mRNA per cell, and the datasets are in a digital format that simplifies the management and analysis of the data. Therefore, of the various microarray and non-microarray technologies currently available, MPSS provides many advantages for generating the type of complete datasets that will help to facilitate hypothesis-driven experiments in the era of digital biology.
大规模平行签名测序（MPSS）是可用于进行深度表达谱分析的最新工具之一。MPSS是一个开放式平台，通过对每个基因产生的单个mRNA分子数量进行计数来分析样本中几乎所有基因的表达水平。在进行实验之前，无需对基因进行鉴定和表征。MPSS具有常规灵敏度，可达每个细胞几个mRNA分子的水平，并且数据集采用数字格式，简化了数据的管理和分析。因此，在目前可用的各种微阵列和非微阵列技术中，MPSS在生成完整数据集类型方面具有许多优势，这将有助于推动数字生物学时代基于假设的实验。
