Proteomics

Dataset Information

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Human tear fluid proteome dataset for usage as a spectral library and for protein modeling

ABSTRACT: This article provides a detailed dataset of human tear fluid proteins. Samples were fractionated by sodium dodecyl sulfate (SDS) gel electrophoresis resulting in 48 fractions that were spiked with an indexed retention time (iRT) peptide standard. These data are based on a data-dependent acquisition (DDA) mass spectrometric approach and can be used for example as a spectral library for tear fluid proteome analysis by data-independent acquisition (DIA). Moreover, the provided data set can be used with optimized HPLC as well as mass spectrometric settings for proteins/peptides of interest. Besides these aspects, this dataset can serve as a protein overview for gene ontology enrichment analysis as well as for modeling and benchmarking of multiple signaling pathways associated with the ocular surface in healthy or disease stages.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Tear

DISEASE(S): Disease Free

SUBMITTER: Annika Guntermann  

LAB HEAD: Prof. Dr. Katrin Marcus

PROVIDER: PXD011075 | Pride | 2019-08-15

REPOSITORIES: Pride

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Dataset's files

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QExHF05941.raw Raw
QExHF05943.raw Raw
QExHF05945.raw Raw
QExHF05947.raw Raw
QExHF05949.raw Raw
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Publications

Human tear fluid proteome dataset for usage as a spectral library and for protein modeling.

Guntermann Annika A   Steinbach Simone S   Serschnitzki Bettina B   Grotegut Pia P   Reinehr Sabrina S   Joachim Stephanie C SC   Schargus Marc M   Marcus Katrin K   May Caroline C  

Data in brief 20190307

This article provides a detailed dataset of human tear fluid proteins. Samples were fractionated by sodium dodecyl sulfate (SDS) gel electrophoresis resulting in 48 fractions that were spiked with an indexed retention time (iRT) peptide standard. These data are based on a data-dependent acquisition (DDA) mass spectrometric approach and can be used for example as a spectral library for tear fluid proteome analysis by data-independent acquisition (DIA). Moreover, the provided data set can be used  ...[more]

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