Proteomics

Dataset Information

0

Minute-scale proteomics with Scanning SWATH and high-flow chromatography


ABSTRACT: Great advances have been made to quantify proteomes at depth and high precision. However, the inherent complexity of the proteome still creates huge challenges to deal with large sample series and longitudinal experiments. Here we report a data-independent acquisition (DIA) method, Scanning SWATH, and new software algorithms, that combine the advantages of data-dependent and DIA acquisition. Exploiting a continuous movement of the precursor isolation window to assign precursor mass to the MS2 fragment traces, Scanning SWATH increases the precursor identifications of up to 70% compared to conventional DIA methods on 1-5 minute chromatographic gradients. Moreover, we achieve significant acceleration of the mass spectrometric duty cycles, facilitating the generation of quantitative precise proteomes with high-flow (800 µL/min) chromatography and gradients that can be as fast as 30 seconds. We demonstrate the application of ultra-fast proteomics in drug mode-of-action screening. Scanning SWATH proteomes capture the mode-of-action of azoles and statins acting as fungistatic drugs.

INSTRUMENT(S): TripleTOF 6600

ORGANISM(S): Homo Sapiens (human) Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Christoph Messner  

LAB HEAD: Markus Ralser

PROVIDER: PXD023613 | Pride | 2021-03-02

REPOSITORIES: Pride

Dataset's files

Source:
altmetric image

Publications


Accurate quantification of the proteome remains challenging for large sample series and longitudinal experiments. We report a data-independent acquisition method, Scanning SWATH, that accelerates mass spectrometric (MS) duty cycles, yielding quantitative proteomes in combination with short gradients and high-flow (800 µl min<sup>-1</sup>) chromatography. Exploiting a continuous movement of the precursor isolation window to assign precursor masses to tandem mass spectrometry (MS/MS) fragment trac  ...[more]

Similar Datasets

2020-06-09 | PXD018874 | Pride
2024-07-08 | PXD052892 | Pride
2024-07-08 | PXD052861 | Pride
2022-11-30 | E-MTAB-12106 | biostudies-arrayexpress
2022-11-30 | E-MTAB-12107 | biostudies-arrayexpress
2018-05-01 | E-MTAB-5785 | biostudies-arrayexpress
2015-03-27 | E-GEOD-67330 | biostudies-arrayexpress
2021-04-08 | E-MTAB-10109 | biostudies-arrayexpress
2015-03-27 | E-GEOD-67328 | biostudies-arrayexpress
2015-03-27 | E-GEOD-67327 | biostudies-arrayexpress