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

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...

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Autores principales: Guntermann, Annika, Steinbach, Simone, Serschnitzki, Bettina, Grotegut, Pia, Reinehr, Sabrina, Joachim, Stephanie C., Schargus, Marc, Marcus, Katrin, May, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660621/
https://www.ncbi.nlm.nih.gov/pubmed/31372408
http://dx.doi.org/10.1016/j.dib.2019.103742
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author Guntermann, Annika
Steinbach, Simone
Serschnitzki, Bettina
Grotegut, Pia
Reinehr, Sabrina
Joachim, Stephanie C.
Schargus, Marc
Marcus, Katrin
May, Caroline
author_facet Guntermann, Annika
Steinbach, Simone
Serschnitzki, Bettina
Grotegut, Pia
Reinehr, Sabrina
Joachim, Stephanie C.
Schargus, Marc
Marcus, Katrin
May, Caroline
author_sort Guntermann, Annika
collection PubMed
description 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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spelling pubmed-66606212019-08-01 Human tear fluid proteome dataset for usage as a spectral library and for protein modeling Guntermann, Annika Steinbach, Simone Serschnitzki, Bettina Grotegut, Pia Reinehr, Sabrina Joachim, Stephanie C. Schargus, Marc Marcus, Katrin May, Caroline Data Brief Proteomics 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. Elsevier 2019-03-07 /pmc/articles/PMC6660621/ /pubmed/31372408 http://dx.doi.org/10.1016/j.dib.2019.103742 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Proteomics
Guntermann, Annika
Steinbach, Simone
Serschnitzki, Bettina
Grotegut, Pia
Reinehr, Sabrina
Joachim, Stephanie C.
Schargus, Marc
Marcus, Katrin
May, Caroline
Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title_full Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title_fullStr Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title_full_unstemmed Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title_short Human tear fluid proteome dataset for usage as a spectral library and for protein modeling
title_sort human tear fluid proteome dataset for usage as a spectral library and for protein modeling
topic Proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660621/
https://www.ncbi.nlm.nih.gov/pubmed/31372408
http://dx.doi.org/10.1016/j.dib.2019.103742
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