Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 93771, USA.
Bioinformatics. 2017 Sep 1;33(17):2715-2722. doi: 10.1093/bioinformatics/btx305.
Drift tube ion mobility spectrometry coupled with mass spectrometry (DTIMS-MS) is increasingly implemented in high throughput omics workflows, and new informatics approaches are necessary for processing the associated data. To automatically extract arrival times for molecules measured by DTIMS at multiple electric fields and compute their associated collisional cross sections (CCS), we created the PNNL Ion Mobility Cross Section Extractor (PIXiE). The primary application presented for this algorithm is the extraction of data that can then be used to create a reference library of experimental CCS values for use in high throughput omics analyses.
We demonstrate the utility of this approach by automatically extracting arrival times and calculating the associated CCSs for a set of endogenous metabolites and xenobiotics. The PIXiE-generated CCS values were within error of those calculated using commercially available instrument vendor software.
PIXiE is an open-source tool, freely available on Github. The documentation, source code of the software, and a GUI can be found at https://github.com/PNNL-Comp-Mass-Spec/PIXiE and the source code of the backend workflow library used by PIXiE can be found at https://github.com/PNNL-Comp-Mass-Spec/IMS-Informed-Library .
erin.baker@pnnl.gov or thomas.metz@pnnl.gov.
Supplementary data are available at Bioinformatics online.
漂移管离子淌度谱与质谱联用(DTIMS-MS)在高通量组学工作流程中越来越多地被应用,并且需要新的信息学方法来处理相关数据。为了自动提取 DTIMS 在多个电场下测量的分子的到达时间并计算它们的相关碰撞截面(CCS),我们创建了 PNNL 离子淌度截面提取器(PIXiE)。该算法的主要应用是提取可用于创建用于高通量组学分析的实验 CCS 值参考库的数据。
我们通过自动提取到达时间并计算一组内源性代谢物和外源性毒物的相关 CCS,证明了这种方法的实用性。PIXiE 生成的 CCS 值与使用商业上可用的仪器供应商软件计算的值在误差范围内。
PIXiE 是一个开源工具,可在 Github 上免费获得。文档、软件源代码和 GUI 可在 https://github.com/PNNL-Comp-Mass-Spec/PIXiE 上找到,PIXiE 使用的后端工作流程库的源代码可在 https://github.com/PNNL-Comp-Mass-Spec/IMS-Informed-Library 上找到。
erin.baker@pnnl.gov 或 thomas.metz@pnnl.gov。
补充数据可在 Bioinformatics 在线获得。