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Updated: Jan 21, 2026

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research
Published on: December 1, 2023
Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
Annika Guntermann1, Simone Steinbach1, Bettina Serschnitzki1
1Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany.
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 and mass spectrometric settings for proteins/peptides of interest. Besides these aspects, this dataset can serve as a protein overview for gene ontology enrichment analysis and for modeling and benchmarking of multiple signaling pathways associated with the ocular surface in healthy or disease stages. The mass spectrometry proteomics data from the described workflow have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD011075.
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