Vaezzadeh Ali R, Hernandez Céline, Vadas Oscar, Deshusses Jacques J M, Lescuyer Pierre, Lisacek Frédérique, Hochstrasser Denis F
Biomedical Proteomics Research Group, Department of Bioinformatics and Structural Biology, Geneva University, 1 Michel Servet, 1211 Geneva, Switzerland.
J Proteome Res. 2008 Oct;7(10):4336-45. doi: 10.1021/pr8002672. Epub 2008 Sep 11.
The use of isoelectric focusing as first dimension of separation is a new trend in shotgun proteomics. In all applications using this approach, peptides are separated into equitable fractions, whereas theoretical distribution of peptides according to p I is heterogeneous. We present the development of a new tool and strategy that generates a fractionation scheme resulting in almost even distribution of peptides per fraction, based on theoretical and experimental data. The "pICarver" software tool also increases the throughput of the approach by reducing the number of fractions and merging the peptide-poor regions. A set of isoelectric point fluorescent peptide markers was also developed in combination with the pICarver program to calibrate the pH gradient of commercially available strips. These markers enhanced the precision of pICarver predications. The overall strategy allowed detecting false positive identification and post-translational modifications. The software tool is freely available on www.expasy.org/tools/pICarver.
将等电聚焦用作分离的第一维是鸟枪法蛋白质组学的一个新趋势。在所有使用这种方法的应用中,肽被分离成均等的组分,而根据pI的肽的理论分布是不均匀的。我们基于理论和实验数据,展示了一种新工具和策略的开发,该工具和策略生成一种分级方案,使得每个组分中的肽几乎均匀分布。“pICarver”软件工具还通过减少组分数量和合并肽含量低的区域来提高该方法的通量。还结合pICarver程序开发了一组等电点荧光肽标记物,以校准市售条带的pH梯度。这些标记物提高了pICarver预测的精度。总体策略允许检测假阳性鉴定和翻译后修饰。该软件工具可在www.expasy.org/tools/pICarver上免费获取。