Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783439335363706880 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6660621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT guntermannannika humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT steinbachsimone humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT serschnitzkibettina humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT grotegutpia humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT reinehrsabrina humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT joachimstephaniec humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT schargusmarc humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT marcuskatrin humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling AT maycaroline humantearfluidproteomedatasetforusageasaspectrallibraryandforproteinmodeling |