Egertson Jarrett D, MacLean Brendan, Johnson Richard, Xuan Yue, MacCoss Michael J
Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Nat Protoc. 2015 Jun;10(6):887-903. doi: 10.1038/nprot.2015.055. Epub 2015 May 21.
Here we describe the use of data-independent acquisition (DIA) on a Q-Exactive mass spectrometer for the detection and quantification of peptides in complex mixtures using the Skyline Targeted Proteomics Environment (freely available online at http://skyline.maccosslab.org). The systematic acquisition of mass spectrometry (MS) or tandem MS (MS/MS) spectra by DIA is in contrast to DDA, in which the acquired MS/MS spectra are only suitable for the identification of a stochastically sampled set of peptides. Similarly to selected reaction monitoring (SRM), peptides can be quantified from DIA data using targeted chromatogram extraction. Unlike SRM, data acquisition is not constrained to a predetermined set of target peptides. In this protocol, a spectral library is generated using data-dependent acquisition (DDA), and chromatograms are extracted from the DIA data for all peptides in the library. As in SRM, quantification using DIA data is based on the area under the curve of extracted MS/MS chromatograms. In addition, a quality control (QC) method suitable for DIA based on targeted MS/MS acquisition is detailed. Not including time spent acquiring data, and time for database searching, the procedure takes ∼1-2 h to complete. Typically, data acquisition requires roughly 1-4 h per sample, and a database search will take 0.5-2 h to complete.
在这里,我们描述了在Q-Exactive质谱仪上使用非数据依赖型采集(DIA),通过Skyline靶向蛋白质组学环境(可在http://skyline.maccosslab.org免费在线获取)来检测和定量复杂混合物中的肽段。DIA对质谱(MS)或串联质谱(MS/MS)谱图进行系统采集,这与数据依赖型采集(DDA)相反,在DDA中,所采集的MS/MS谱图仅适用于鉴定一组随机采样的肽段。与选择反应监测(SRM)类似,可以使用靶向色谱图提取从DIA数据中对肽段进行定量。与SRM不同的是,数据采集不受限于一组预先确定的目标肽段。在本方案中,使用数据依赖型采集(DDA)生成一个谱图库,并从DIA数据中提取该库中所有肽段的色谱图。与SRM一样,使用DIA数据进行定量是基于提取的MS/MS色谱图曲线下的面积。此外,还详细介绍了一种基于靶向MS/MS采集的适用于DIA的质量控制(QC)方法。不包括数据采集时间和数据库搜索时间,该过程大约需要1 - 2小时完成。通常,每个样品的数据采集大约需要1 - 4小时,数据库搜索需要0.5 - 2小时完成。