Wongpia Aphinya, Mahatheeranont Sugunya, Lomthaisong Khemika, Niamsup Hataichanoke
Center of Excellence for Innovation in Chemistry, Chiang Mai University, Chiang Mai, 50200, Thailand.
Appl Biochem Biotechnol. 2015 Jan;175(2):1035-51. doi: 10.1007/s12010-014-1333-0. Epub 2014 Oct 30.
In a proteomic study, sample preparation is very important because it affects the quality of protein profiles on two-dimensional gel electrophoresis (2-DE). This study investigated the suitability of four protein extraction methods-direct lysis buffer extraction, trichloroacetic acid (TCA)/acetone precipitation, phenol extraction, and polyethylene glycol (PEG) fractionation-from rice seeds and seedlings (Oryza sativa L. ssp. indica cv. Khao Dawk Mali 105). The effectiveness of these methods was evaluated by the protein quantity and the 2-DE profiling quality. This included the number of protein spots, the consistency and uniqueness of protein spots, and their distribution in different ranges of pI and molecular weight (M r ). For protein quantity, the phenol and direct lysis extraction methods gave the highest protein yield in rice seeds and rice seedlings, respectively. However, in terms of the quality of 2-DE profiles, samples prepared by the TCA/acetone and phenol methods exhibited higher protein resolution and more spots than the protein profile derived from direct lysis extract. In addition, TCA/acetone method had the efficiency for high M r protein detection. PEG fractionation provided the best 2-DE pattern in terms of resolution, number of spots, minimal streaking, and reproducibility. Moreover, PEG fractionation was better for determining low M r basic proteins.
在一项蛋白质组学研究中,样品制备非常重要,因为它会影响二维凝胶电泳(2-DE)上蛋白质谱的质量。本研究调查了四种蛋白质提取方法——直接裂解缓冲液提取、三氯乙酸(TCA)/丙酮沉淀、酚提取和聚乙二醇(PEG)分级分离——从水稻种子和幼苗(水稻籼亚种考道克马里105品种)中提取蛋白质的适用性。通过蛋白质数量和2-DE图谱质量评估这些方法的有效性。这包括蛋白质斑点的数量、蛋白质斑点的一致性和独特性,以及它们在不同pH值和分子量(Mr)范围内的分布。就蛋白质数量而言,酚提取法和直接裂解提取法分别在水稻种子和水稻幼苗中获得了最高的蛋白质产量。然而,就2-DE图谱质量而言,通过TCA/丙酮法和酚法制备的样品比直接裂解提取物得到的蛋白质谱具有更高的蛋白质分辨率和更多的斑点。此外,TCA/丙酮法在检测高分子量蛋白质方面具有效率。PEG分级分离在分辨率、斑点数量、最小拖尾和可重复性方面提供了最佳的2-DE图谱。此外,PEG分级分离在确定低分子量碱性蛋白质方面表现更好。