Investigation of Effects of the Spectral Library on Analysis of diaPASEF Data
- 31 December 2021
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Proteome Research
- Vol. 21 (2) , 507-518
Abstract
Targeted analysis of data-independent acquisition (DIA) data needs a spectral library, which is generated by data-dependent acquisition (DDA) experiments or directly from DIA data. A comparison of the DDA library and DIA library in analyzing DIA data has been reported. However, the effects of different spectral libraries on the analysis of diaPASEF data have not been investigated. Here, we generate different spectral libraries with varying proteome coverage to analyze parallel accumulation–serial fragmentation (diaPASEF) data. Besides, we also employ the library-free strategy. The library, constructed by extensive fractionation DDA experiments, produces the highest numbers of precursors and proteins but with a high percentage of missing values. The library-free strategy identifies 10–20% fewer proteins than the library-based method but with a high degree of data completeness. A further study shows that the library-free strategy, although it identifies fewer proteins than the library-based method, leads to similar biological conclusions as the library-based method.Keywords
Funding Information
- Ministry of Education of the People's Republic of China (20720190087)
- National Natural Science Foundation of China (J1310027)
This publication has 38 references indexed in Scilit:
- A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data SetsMolecular & Cellular Proteomics, 2015
- Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver MicrotissuesMolecular & Cellular Proteomics, 2015
- DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomicsNature Methods, 2015
- Regulation of NF-κB by TNF family cytokinesSeminars in Immunology, 2014
- Multiplexed MS/MS for improved data-independent acquisitionNature Methods, 2013
- A statistical model-building perspective to identification of MS/MS spectra with PeptideProphetBMC Bioinformatics, 2012
- Using ion purity scores for enhancing quantitative accuracy and precision in complex proteomics samplesAnalytical and Bioanalytical Chemistry, 2012
- Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome AnalysisMolecular & Cellular Proteomics, 2012
- Phagosomes Induced by Cytokines Function as anti-Listeria VaccinesJournal of Biological Chemistry, 2012
- Proteomics on an Orbitrap Benchtop Mass Spectrometer Using All-ion FragmentationMolecular & Cellular Proteomics, 2010