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析因实验设计阐明了影响四极杆轨道阱质谱仪数据采集的显著变量。

Factorial experimental designs elucidate significant variables affecting data acquisition on a quadrupole Orbitrap mass spectrometer.

机构信息

W. M. Keck Fourier Transform Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.

出版信息

J Am Soc Mass Spectrom. 2013 Oct;24(10):1501-12. doi: 10.1007/s13361-013-0693-y. Epub 2013 Aug 3.

Abstract

Instrument parameter values for a quadrupole Orbitrap mass spectrometer were optimized for performing global proteomic analyses. Fourteen factors were evaluated for their influence on data-dependent acquisition with an emphasis on both the rate of sequencing and spectral quality by maximizing two individually tested response variables (unique peptides and protein groups). Of the 14 factors, 12 factors were assigned significant contrast values (P < 0.05) for both response variables. Fundamentally, when optimizing parameters, a balance between spectral quality and duty cycle needs to be reached in order to maximize proteome coverage. This is especially true when using a data-dependent approach for sequencing complex proteomes. For example, maximum ion injection time, automatic gain control settings, and minimum threshold settings for triggering MS/MS isolation and activation all heavily influence ion signal, the number of spectra collected, and spectral quality. To better assess the effect these parameters have on data acquisition, all MS/MS data were parsed according to ion abundance by calculating the percent of the AGC target reached for each MS/MS event and then compared with successful peptide-spectrum matches. This proved to be an effective approach for understanding the effect of ion abundance on successful peptide-spectrum matches and establishing minimum ion abundance thresholds for triggering MS/MS isolation and activation.

摘要

优化四极杆轨道阱质谱仪的仪器参数值,以进行全面的蛋白质组学分析。评估了 14 个因素对数据依赖型采集的影响,重点是通过最大化两个单独测试的响应变量(独特肽和蛋白质组)来提高测序速度和光谱质量。在 14 个因素中,有 12 个因素对两个响应变量都具有显著的对比值(P < 0.05)。从根本上讲,在优化参数时,需要在光谱质量和工作周期之间达到平衡,以最大限度地提高蛋白质组覆盖率。当使用针对复杂蛋白质组的基于数据的方法进行测序时,这一点尤其正确。例如,最大离子注入时间、自动增益控制设置和触发 MS/MS 隔离和激活的最小阈值设置都会强烈影响离子信号、采集的光谱数量和光谱质量。为了更好地评估这些参数对数据采集的影响,根据离子丰度对所有 MS/MS 数据进行了解析,方法是计算每个 MS/MS 事件达到 AGC 目标的百分比,然后将其与成功的肽谱匹配进行比较。事实证明,这是一种有效的方法,可以了解离子丰度对成功的肽谱匹配的影响,并为触发 MS/MS 隔离和激活建立最小的离子丰度阈值。

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