Mixed-data acquisition: next-generation quantitative proteomics data acquisition


Publication type
Article
Language
English
Appears in Collections:
Metrics
Abstract
We present the Mixed-Data Acquisition (MDA) strategy for mass spectrometry data acquisition. MDA combines Data-Dependent Acquisition (DDA) and Data-Independent Acquisition (DIA) in the same run, thus doing away with the requirements for separate DDA spectral libraries. MDA is a natural result from advances in mass spectrometry, such as high scan rates and multiple analyzers, and is tailored toward exploiting these features. We demonstrate MDA's effectiveness on a yeast proteome analysis by overcoming a common bottleneck for XIC-based label-free quantitation; namely, the coelution of precursors when m/z values cannot be distinguished. We anticipate that MDA will become the next mainstream data generation approach for proteomics. MDA can also serve as an orthogonal validation approach for DDA experiments. Specialized software for MDA data analysis is made available on the project's website.
Reference
Santos MD.M., Camillo-Andrade AC, Kurt LU., Clasen MA., Lyra E, Gozzo FC., et al. Mixed-data acquisition: next-generation quantitative proteomics data acquisition. J. Proteomics. 2020 May;222:103803. doi:10.1016/j.jprot.2020.103803.
Link to cite this reference
https://repositorio.butantan.gov.br/handle/butantan/3039
Journal title
Issue Date
2020


Files in This Item:

Existing users please Login
10.1016j.jprot.2020.103803.pdf
Size: 1.15 MB
Format: Adobe PDF
Embargoed until January 1, 2999    Request a copy
Show full item record

The access to the publications deposited in this repository respects the licenses from journals and publishers.