Tecnológico de Monterrey (ITESM), Department of Biotechnology and Food Engineering, Ave. E. Garza Sada 2501-Sur, Monterrey, N.L. Mexico, CP 64849.
Rapid Commun Mass Spectrom. 2010 Feb;24(3):285-94. doi: 10.1002/rcm.4384.
Electrospray ionization (ESI) ion trap mass spectrometers with relatively low resolution are frequently used for the analysis of natural products and peptides. Although ESI spectra of multiply charged protein molecules also can be measured on this type of devices, only average spectra are produced for the majority of naturally occurring proteins. Evaluating such ESI protein spectra would provide valuable information about the native state of investigated proteins. However, no suitable and freely available software could be found which allows the charge state determination and molecular weight calculation of single proteins from average ESI-MS data. Therefore, an algorithm based on standard deviation optimization (scatter minimization) was implemented for the analysis of protein ESI-MS data. The resulting software ESIprot was tested with ESI-MS data of six intact reference proteins between 12.4 and 66.7 kDa. In all cases, the correct charge states could be determined. The obtained absolute mass errors were in a range between -0.2 and 1.2 Da, the relative errors below 30 ppm. The possible mass accuracy allows for valid conclusions about the actual condition of proteins. Moreover, the ESIprot algorithm demonstrates an extraordinary robustness and allows spectral interpretation from as little as two peaks, given sufficient quality of the provided m/z data, without the necessity for peak intensity data. ESIprot is independent from the raw data format and the computer platform, making it a versatile tool for mass spectrometrists. The program code was released under the open-source GPLv3 license to support future developments of mass spectrometry software.
电喷雾电离(ESI)离子阱质谱仪的分辨率相对较低,常用于分析天然产物和肽。尽管这种类型的仪器也可以测量多电荷蛋白质分子的 ESI 谱,但对于大多数天然存在的蛋白质来说,只产生平均谱。评估这种 ESI 蛋白质谱可以提供有关研究中蛋白质天然状态的有价值信息。然而,没有找到合适的免费软件可以从平均 ESI-MS 数据中确定单个蛋白质的电荷状态和分子量。因此,针对蛋白质 ESI-MS 数据,我们实现了一种基于标准偏差优化(散射最小化)的算法。所得的软件 ESIprot 已通过 6 种完整参考蛋白质(分子量为 12.4 至 66.7 kDa)的 ESI-MS 数据进行了测试。在所有情况下,都可以确定正确的电荷状态。获得的绝对质量误差在-0.2 至 1.2 Da 之间,相对误差低于 30 ppm。该方法具有的质量精度可用于对蛋白质的实际状态进行有效的推断。此外,ESIprot 算法具有出色的稳健性,允许在提供的 m/z 数据质量足够高的情况下,仅从两个峰进行光谱解释,而无需峰强度数据。ESIprot 独立于原始数据格式和计算机平台,是质谱仪的通用工具。该程序代码已根据开源 GPLv3 许可证发布,以支持质谱软件的未来发展。