日本質量分析学会 第66回質量分析総合討論会

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第3日 5月17日(木) 09:30~09:45 A会場(オービットホール)

Using Data Independent Acquisition (DIA) combined with resource spectral libraries in the discovery of lung cancer biomarkers

(BGS)
oMarty, FlorianZomeno, SiraReiter, Lukas

Data Independent Acquisition (DIA) data analysis strategies are generally based on a peptide centric workflow (HRMTM MS, SWATH) using spectral libraries created from DDA runs. However, the process of library generation can result in considerable mass spectrometer overhead time. A reasonable alternative to this problem is the use of resource libraries instead of project specific ones. Library free, spectrum centric (directDIATM) approaches have become more popular because of the implementation of tools such SpectronautTM Pulsar.
In order to test and compare these different approaches, several workflows were followed to analyze the same DIA dataset: 1) project specific library, 2) directDIATM and 3) four resource libraries (Rosenberguer et al. 2014 H. sapiens library; Zolg et al. 2017 synthetic peptide library; Geiger et al. 2012 eleven common cell lines library; and Kim et al. 2014 H. sapiens library). These different workflows were applied to the discovery of lung cancer biomarkers using cancerous vs. healthy lung biopsies.
directDIATM, offers great reproducibility but only limited proteome coverage. HRMTM MS with project specific spectral libraries leads to high proteome coverage but at the expense of extra LC-MS time needed to make the library. The use of resource libraries provides a high proteome coverage with a low requirement of resources.