Back to Search Start Over

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

Authors :
Annika Guntermann
Simone Steinbach
Bettina Serschnitzki
Pia Grotegut
Sabrina Reinehr
Stephanie C. Joachim
Marc Schargus
Katrin Marcus
Caroline May
Source :
Data in Brief, Vol 23, Iss , Pp - (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

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.

Details

Language :
English
ISSN :
23523409
Volume :
23
Issue :
-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.49e761cdc9ef401087496d0390e61dda
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2019.103742