Proteomics

Dataset Information

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Systematic Investigation of Targeted Analysis of Metabolites and Proteins in Tear Fluid

ABSTRACT: Since the sampling of tear fluid seems rather variable we sought to evaluate a protocol for combined metabolomic and proteomic analyses with regard to clinical applicability. Tear fluid was taken from twelve human volunteers at different time points using specially designed Schirmer strips. Following liquid extraction of metabolites from standardized punchesthe remaining material was processed for bottom-up proteomics. The targeted proteomic analysis of 15 tear proteins revealed a mean intra-individual variation of 23 % merely for the three most abundant proteins. Overall, our newly established workflow opens perspectives for clinical and routine diagnostic applications using well accessible tear fluid.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Tear

SUBMITTER: Janina D'Alvise  

LAB HEAD: Sascha Dammeier

PROVIDER: PXD008536 | Pride | 2019-11-12

REPOSITORIES: Pride

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Dataset's files

Source:
Action DRS
Comparisonwithandwithoutmetabolomics.zip Other
FKL2148-S02-A-001_R_Px.raw Raw
FKL2148-S14-A-02_R_Px.raw Raw
FKL2148-S20-A-03_R_Px.raw Raw
FKL2209-S02-B-1_s001_20151207_L.raw Raw
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Publications

Combined Targeted Analysis of Metabolites and Proteins in Tear Fluid With Regard to Clinical Applications.

Dammeier Sascha S   Martus Peter P   Klose Franziska F   Seid Michael M   Bosch Dario D   D'Alvise Janina J   Ziemssen Focke F   Dimopoulos Spyridon S   Ueffing Marius M  

Translational vision science & technology 20181101 6

<h4>Purpose</h4>To establish a robust workflow for combined mass spectrometry-based analysis of metabolites and proteins in tear fluid with regard to clinical applicability.<h4>Methods</h4>Tear fluid was taken from 12 healthy volunteers at different time points using specially designed Schirmer strips. Following the liquid extraction of metabolites from standardized punches, the remaining material was processed for bottom-up proteomics. Targeted metabolite profiling was performed adapting a meta  ...[more]

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