Proteomics

Dataset Information

0

Combining Precursor and Fragment Information for Improved Detection of Differential Abundance in Data Independent Acquisition


ABSTRACT: In data independent acquisition, consistent, comprehensive MS1 and MS2 can be recorded. This enables statistical comparison based on the two quantitative levels.

INSTRUMENT(S): Q Exactive HF-X, Q Exactive HF

ORGANISM(S): Homo Sapiens (human) Escherichia Coli Caenorhabditis Elegans Saccharomyces Cerevisiae (baker's Yeast) Arabidopsis Thaliana (mouse-ear Cress) Mus Musculus (mouse)

TISSUE(S): Cerebellum, Hepatocyte, Lung, Cell Culture

DISEASE(S): Lung Combined Type Small Cell Carcinoma

SUBMITTER: Roland Bruderer  

LAB HEAD: Lukas Reiter

PROVIDER: PXD016647 | Pride | 2020-01-07

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
BiolDS-OT-MaxQuant.zip Other
BiolDS-OT-SN-Report.txt Txt
BiolDS-OT-library.kit Other
BiolDS-OT-library.txt Txt
BiolDS-OTSNExperiment.sne Other
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Publications

Combining Precursor and Fragment Information for Improved Detection of Differential Abundance in Data Independent Acquisition.

Huang Ting T   Bruderer Roland R   Muntel Jan J   Xuan Yue Y   Vitek Olga O   Reiter Lukas L  

Molecular & cellular proteomics : MCP 20191230 2


In bottom-up, label-free discovery proteomics, biological samples are acquired in a data-dependent (DDA) or data-independent (DIA) manner, with peptide signals recorded in an intact (MS1) and fragmented (MS2) form. While DDA has only the MS1 space for quantification, DIA contains both MS1 and MS2 at high quantitative quality. DIA profiles of complex biological matrices such as tissues or cells can contain quantitative interferences, and the interferences at the MS1 and the MS2 signals are often  ...[more]

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