Cargando…
Data-independent proteome analysis of ARPE-19 cells
We have performed a proteomics analysis of a human retinal pigment epithelial cell line (ARPE-19), which represents a widely used model for in vitro studies of cellular and molecular mechanisms related to human RPE cells (Dunn et al., 1996; Weigel et al., 2002) [1], [2]. Whole cell protein extracts...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111057/ https://www.ncbi.nlm.nih.gov/pubmed/30167441 http://dx.doi.org/10.1016/j.dib.2018.06.103 |
_version_ | 1783350586705444864 |
---|---|
author | Koirala, Diwa Beranova-Giorgianni, Sarka Giorgianni, Francesco |
author_facet | Koirala, Diwa Beranova-Giorgianni, Sarka Giorgianni, Francesco |
author_sort | Koirala, Diwa |
collection | PubMed |
description | We have performed a proteomics analysis of a human retinal pigment epithelial cell line (ARPE-19), which represents a widely used model for in vitro studies of cellular and molecular mechanisms related to human RPE cells (Dunn et al., 1996; Weigel et al., 2002) [1], [2]. Whole cell protein extracts were separated in four gel fractions via short (10 min) SDS-PAGE runs. Following fractionation and trypsin digestion, the resulting peptides were separated on a nano UPLC LC system and analyzed on-line with a QTof-IMS instrument: a tandem mass spectrometer with ion mobility separation (Synapt G2-Si). Data were acquired in data-independent mode (UDMS(E)), which allows for absolute and/or relative post-acquisition protein quantification (Silva et al., 2006) [3]. The proteome profile data obtained from this study can be used as a protein reference database with qualitative and quantitative protein information related to ARPE-19 cells under normal growth conditions. |
format | Online Article Text |
id | pubmed-6111057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61110572018-08-30 Data-independent proteome analysis of ARPE-19 cells Koirala, Diwa Beranova-Giorgianni, Sarka Giorgianni, Francesco Data Brief Proteomics We have performed a proteomics analysis of a human retinal pigment epithelial cell line (ARPE-19), which represents a widely used model for in vitro studies of cellular and molecular mechanisms related to human RPE cells (Dunn et al., 1996; Weigel et al., 2002) [1], [2]. Whole cell protein extracts were separated in four gel fractions via short (10 min) SDS-PAGE runs. Following fractionation and trypsin digestion, the resulting peptides were separated on a nano UPLC LC system and analyzed on-line with a QTof-IMS instrument: a tandem mass spectrometer with ion mobility separation (Synapt G2-Si). Data were acquired in data-independent mode (UDMS(E)), which allows for absolute and/or relative post-acquisition protein quantification (Silva et al., 2006) [3]. The proteome profile data obtained from this study can be used as a protein reference database with qualitative and quantitative protein information related to ARPE-19 cells under normal growth conditions. Elsevier 2018-07-04 /pmc/articles/PMC6111057/ /pubmed/30167441 http://dx.doi.org/10.1016/j.dib.2018.06.103 Text en © 2018 Published by Elsevier Inc. 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 Koirala, Diwa Beranova-Giorgianni, Sarka Giorgianni, Francesco Data-independent proteome analysis of ARPE-19 cells |
title | Data-independent proteome analysis of ARPE-19 cells |
title_full | Data-independent proteome analysis of ARPE-19 cells |
title_fullStr | Data-independent proteome analysis of ARPE-19 cells |
title_full_unstemmed | Data-independent proteome analysis of ARPE-19 cells |
title_short | Data-independent proteome analysis of ARPE-19 cells |
title_sort | data-independent proteome analysis of arpe-19 cells |
topic | Proteomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111057/ https://www.ncbi.nlm.nih.gov/pubmed/30167441 http://dx.doi.org/10.1016/j.dib.2018.06.103 |
work_keys_str_mv | AT koiraladiwa dataindependentproteomeanalysisofarpe19cells AT beranovagiorgiannisarka dataindependentproteomeanalysisofarpe19cells AT giorgiannifrancesco dataindependentproteomeanalysisofarpe19cells |