Proteomics

Dataset Information

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Characterization of cerebrospinal fluid via data-independent acquisition mass spectrometry


ABSTRACT: Cerebrospinal fluid (CSF) is in direct contact with the brain and serves as a valuable specimen to examine neurodegenerative diseases in order to identify suitable diagnostic biomarkers. In the field of neuroproteomics the most popular mass spectrometry-based strategy for biomarker discovery studies is data-dependent acquisition (DDA). Drawbacks of this method are stochastic and irreproducible precursor ion selection. Recently, data-independent acquisition (DIA) emerged as an alternative method. In this study we evaluate the use of DIA for native CSF analytics with particular focus on spectral library generation for data analysis, DIA data reproducibility and identification of brain specific proteins.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain, Cerebrospinal Fluid, Blood

SUBMITTER: Katalin Barkovits  

LAB HEAD: Katrin Marcus

PROVIDER: PXD009624 | Pride | 2018-09-17

REPOSITORIES: Pride

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Publications

Characterization of Cerebrospinal Fluid via Data-Independent Acquisition Mass Spectrometry.

Barkovits Katalin K   Linden Andreas A   Galozzi Sara S   Schilde Lukas L   Pacharra Sandra S   Mollenhauer Brit B   Stoepel Nadine N   Steinbach Simone S   May Caroline C   Uszkoreit Julian J   Eisenacher Martin M   Marcus Katrin K  

Journal of proteome research 20180912 10


Cerebrospinal fluid (CSF) is in direct contact with the brain and serves as a valuable specimen to examine diseases of the central nervous system through analyzing its components. These include the analysis of metabolites, cells as well as proteins. For identifying new suitable diagnostic protein biomarkers bottom-up data-dependent acquisition (DDA) mass spectrometry-based approaches are most popular. Drawbacks of this method are stochastic and irreproducible precursor ion selection. Recently, d  ...[more]

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