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

Annika Guntermann; Simone Steinbach; Bettina Serschnitzki; Pia Grotegut; Sabrina Reinehr; Stephanie C Joachim; Marc Schargus; Katrin Marcus; Caroline May

doi:10.1016/j.dib.2019.103742

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

Data Brief. 2019 Mar 7:23:103742. doi: 10.1016/j.dib.2019.103742. eCollection 2019 Apr.

Authors

Annika Guntermann¹, Simone Steinbach¹, Bettina Serschnitzki¹, Pia Grotegut², Sabrina Reinehr², Stephanie C Joachim², Marc Schargus^{3

4}, Katrin Marcus¹, Caroline May¹

Affiliations

¹ Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany.
² Experimental Eye Research, University Eye Hospital, Ruhr-University Bochum, Bochum, Germany.
³ Department of Ophthalmology, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Germany.
⁴ Asklepios Eye Hospital Nord-Heidberg, Hamburg, 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.