Proteomics

Dataset Information

Parallel accumulation – serial fragmentation combined with data-independent acquisition (diaPASEF)


ABSTRACT: Data independent acquisition modes isolate and concurrently fragment populations of different precursors by cycling through segments of a predefined precursor m/z range. Although these selection windows collectively cover the entire m/z range, overall only a few percent of all incoming ions in each window are sampled. Making use of the correlation of molecular weight and ion mobility in a trapped ion mobility device (timsTOF Pro), we here devise a novel scan mode that samples up to 100% of the peptide precursor ion current in m/z and mobility windows. We extend an established targeted data extraction workflow by including the ion mobility dimension for both signal extraction and scoring, thereby increasing the specificity for precursor identification. Data acquired from whole proteome digests and mixed organism samples demonstrate deep proteome coverage and a very high degree of reproducibility as well as quantitative accuracy, even from 10 ng sample amounts.

INSTRUMENT(S):

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

TISSUE(S): Cell Culture

SUBMITTER: Mario Oroshi  

LAB HEAD: Matthias Mann

PROVIDER: PXD017703 | Pride | 2020-12-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
HeLa_200ng_IMextractionWindowOptimization_pyporophet_export.zip Other
HeLa_200ng_Library_MaxQuant.zip Other
HeLa_200ng_Library_RAW.zip Other
HeLa_200ng_pqp_library.zip Other
HeLa_200ng_pyprophet_export.zip Other
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