Boccardi Claudia, Rocchiccioli Silvia, Cecchettini Antonella, Mercatanti Alberto, Citti Lorenzo
Institute of Clinical Physiology-CNR, Via Moruzzi 1, 56124 Pisa, Italy.
BMC Res Notes. 2012 Nov 1;5:612. doi: 10.1186/1756-0500-5-612.
Human plasma, representing the most complete record of the individual phenotype, is an appealing sample for proteomics analysis in clinical applications. Up to today, the major obstacle in a proteomics study of plasma is the large dynamic range of protein concentration and the efforts of many researchers focused on the resolution of this important drawback.
In this study, proteins from pooled plasma samples were fractionated according to their chemical characteristics on a home-designed SPE automated platform. The resulting fractions were digested and further resolved by reversed-phase liquid chromatography coupled with MALDI TOF/TOF mass spectrometry. A total of 712 proteins were successfully identified until a concentration level of ng/mL. Pearson correlation coefficient was used to test reproducibility.
Our multidimensional fractionation approach reduced the analysis time (2 days are enough to process 16 plasma samples filling a 96-well plate) over the conventional gel-electrophoresis or multi-LC column based methods. The robotic processing, avoiding contaminants or lack of sample handling skill, promises highly reproducible specimen analyses (more than 85% Pearson correlation). The automated platform here presented is flexible and easily modulated changing fractioning elements or detectors.
人血浆代表了个体表型的最完整记录,是临床应用蛋白质组学分析中颇具吸引力的样本。直至今日,血浆蛋白质组学研究的主要障碍是蛋白质浓度的动态范围大,许多研究人员致力于解决这一重要缺陷。
在本研究中,来自混合血浆样本的蛋白质在自行设计的固相萃取自动化平台上根据其化学特性进行分级分离。所得级分经消化后,通过反相液相色谱与基质辅助激光解吸电离飞行时间/串联飞行时间质谱联用进一步分离。在纳克/毫升浓度水平之前,共成功鉴定出712种蛋白质。使用皮尔逊相关系数来测试重现性。
我们的多维分级分离方法比传统的基于凝胶电泳或多液相色谱柱的方法缩短了分析时间(2天足以处理填满96孔板的16个血浆样本)。机器人处理避免了污染物或样本处理技能不足的问题,保证了高度可重现的样本分析(皮尔逊相关性超过85%)。这里展示的自动化平台具有灵活性,通过更换分级分离元件或检测器可轻松进行调节。