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Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics

EDEM2 (Endoplasmic reticulum Degradation-Enhancing alpha-Mannosidase-like protein 2) is one of the key-proteins suggested to be involved in the selection and degradation of misfolded proteins from the endoplasmic reticulum. The datasets discussed in this article are related to experiments covering a...

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Autores principales: Chirițoiu, Gabriela N., Chirițoiu, Marioara, Munteanu, Cristian V.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529096/
https://www.ncbi.nlm.nih.gov/pubmed/34712749
http://dx.doi.org/10.1016/j.dib.2021.107471
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author Chirițoiu, Gabriela N.
Chirițoiu, Marioara
Munteanu, Cristian V.A.
author_facet Chirițoiu, Gabriela N.
Chirițoiu, Marioara
Munteanu, Cristian V.A.
author_sort Chirițoiu, Gabriela N.
collection PubMed
description EDEM2 (Endoplasmic reticulum Degradation-Enhancing alpha-Mannosidase-like protein 2) is one of the key-proteins suggested to be involved in the selection and degradation of misfolded proteins from the endoplasmic reticulum. The datasets discussed in this article are related to experiments covering affinity proteomics, label-free quantitative proteomics, deglycoproteomics and SILAC (Stable Isotope Labeling by Amino Acids in Cell Culture) proteomics data of A375 melanoma cells with modified expression of EDEM2. Our first aim was to affinity-enrich EDEM2 alongside its potential interaction partners and analyse the obtained samples by nanoLC-MS/MS to identify novel EDEM2 associated proteins. The dataset was substantiated by SDF (Sucrose Density Fractionation)-nanoLC-MS/MS experiments, in an integrated workflow to validate EDEM2 identified partners and corroborate these with previous data. Our second aim was to delineate novel EDEM2 substrate candidates using a two-step strategy. The first one refers to the deglycoproteomics dataset, which covers nanoLC-MS/MS analysis of Concanavalin A enriched glycopeptides released by endoglycosidase digestion from A375 melanoma cell lysates. This allowed us to map the fraction of glycoproteins with non-matured N-glycans from A375 melanoma cells and find or validate N-glycosylation sites of proteins from the secretory pathway. The same dataset was also used to define glycoproteins altered by the down-regulation of endogenous EDEM2, which should contain its candidate-substrates. In a second step we delineate the degradation kinetics of some of these proteins using a pulse SILAC strategy (pSILAC) thus complementing our initial findings with a fourth dataset. Beside nanoLC-MS/MS analysis our findings were also validated by various biochemical experiments. All the data described are associated with a research article published in Molecular and Cellular Proteomics [1].
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spelling pubmed-85290962021-10-27 Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics Chirițoiu, Gabriela N. Chirițoiu, Marioara Munteanu, Cristian V.A. Data Brief Data Article EDEM2 (Endoplasmic reticulum Degradation-Enhancing alpha-Mannosidase-like protein 2) is one of the key-proteins suggested to be involved in the selection and degradation of misfolded proteins from the endoplasmic reticulum. The datasets discussed in this article are related to experiments covering affinity proteomics, label-free quantitative proteomics, deglycoproteomics and SILAC (Stable Isotope Labeling by Amino Acids in Cell Culture) proteomics data of A375 melanoma cells with modified expression of EDEM2. Our first aim was to affinity-enrich EDEM2 alongside its potential interaction partners and analyse the obtained samples by nanoLC-MS/MS to identify novel EDEM2 associated proteins. The dataset was substantiated by SDF (Sucrose Density Fractionation)-nanoLC-MS/MS experiments, in an integrated workflow to validate EDEM2 identified partners and corroborate these with previous data. Our second aim was to delineate novel EDEM2 substrate candidates using a two-step strategy. The first one refers to the deglycoproteomics dataset, which covers nanoLC-MS/MS analysis of Concanavalin A enriched glycopeptides released by endoglycosidase digestion from A375 melanoma cell lysates. This allowed us to map the fraction of glycoproteins with non-matured N-glycans from A375 melanoma cells and find or validate N-glycosylation sites of proteins from the secretory pathway. The same dataset was also used to define glycoproteins altered by the down-regulation of endogenous EDEM2, which should contain its candidate-substrates. In a second step we delineate the degradation kinetics of some of these proteins using a pulse SILAC strategy (pSILAC) thus complementing our initial findings with a fourth dataset. Beside nanoLC-MS/MS analysis our findings were also validated by various biochemical experiments. All the data described are associated with a research article published in Molecular and Cellular Proteomics [1]. Elsevier 2021-10-14 /pmc/articles/PMC8529096/ /pubmed/34712749 http://dx.doi.org/10.1016/j.dib.2021.107471 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Chirițoiu, Gabriela N.
Chirițoiu, Marioara
Munteanu, Cristian V.A.
Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title_full Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title_fullStr Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title_full_unstemmed Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title_short Dataset of human EDEM2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
title_sort dataset of human edem2 melanoma cells proteomics, affinity proteomics and deglycoproteomics
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529096/
https://www.ncbi.nlm.nih.gov/pubmed/34712749
http://dx.doi.org/10.1016/j.dib.2021.107471
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