Proteomics

Dataset Information

0

Human cerebrospinal fluid analysis by HPLC-MS/MS


ABSTRACT: Cerebrospinal fluid samples of patients with Parkinson’s disease and healthy controls were used for this study. Part of the samples consisted of fractions that were separated by gel electrophoresis. After tryptic digestion, all samples were spiked with indexed retention time (iRT) peptides and were measured using a DDA mass spectrometry approach. This data is intended to be used to create a spectral library for DIA analysis.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cerebrospinal Fluid

DISEASE(S): Parkinson's Disease

SUBMITTER: Lukas Schilde  

LAB HEAD: Caroline May

PROVIDER: PXD013487 | Pride | 2020-08-13

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
CSF_Lukas_31082017.xls Xls
QEXI21286_F1.mzML Mzml
QEXI21286_F1.raw Raw
QEXI21288_F2.mzML Mzml
QEXI21288_F2.raw Raw
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Publications

Human cerebrospinal fluid data for use as spectral library, for biomarker research.

Schilde Lukas M LM   Steinbach Simone S   Serschnitzki Bettina B   Maass Fabian F   Bähr Mathias M   Lingor Paul P   Marcus Katrin K   May Caroline C  

Data in brief 20200719


Spectral libraries generated by data dependent acquisition (DDA) are a useful tool for the analysis of data created by data independent acquisition (DIA) in mass spectrometry. The quality of DIA analysis is dependent on the quality of the spectral library. We used cerebrospinal fluid (CSF) of patients with Parkinson's disease and healthy controls to create a spectral library of human CSF proteome. To this date, there is no validated CSF biomarker for Parkinson's disease. This data set may theref  ...[more]

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