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A proteomics dataset capturing myeloid cell responses upon cellular exposure to fungicides, adjuvants and fungicide formulations

de Ávila, Renato Ivan LU ; Carreira Santos, Sofía LU ; Siino, Valentina LU ; Levander, Fredrik LU orcid ; Lindstedt, Malin LU orcid and Zeller, Kathrin S LU orcid (2023) In Data in Brief 46.
Abstract

Dendritic cells are the sentinels of the immune system, linking the innate and adaptive immune response. Myeloid and dendritic cell models have been successfully used in in vitro approaches to predict adverse outcomes such as skin sensitization. We here exposed a well-characterized human dendritic cell-like cell line to agricultural chemicals, including fungicide formulations, active ingredients, adjuvants and defined mixtures for 24 h to profile induced changes on protein levels. Cell pellets were harvested and prepared for bottom-up label-free analysis with peptide separation on an EASY-nano LC system 1200 coupled online with a QExactive HF-X mass spectrometer with data-dependent acquisition (DDA). The raw data files and processed... (More)

Dendritic cells are the sentinels of the immune system, linking the innate and adaptive immune response. Myeloid and dendritic cell models have been successfully used in in vitro approaches to predict adverse outcomes such as skin sensitization. We here exposed a well-characterized human dendritic cell-like cell line to agricultural chemicals, including fungicide formulations, active ingredients, adjuvants and defined mixtures for 24 h to profile induced changes on protein levels. Cell pellets were harvested and prepared for bottom-up label-free analysis with peptide separation on an EASY-nano LC system 1200 coupled online with a QExactive HF-X mass spectrometer with data-dependent acquisition (DDA). The raw data files and processed quantitative data have been deposited to ProteomeXchange with the data identification number PXD034624 and are described here. The data in this article may serve as a resource for researchers interested in e.g. human toxicology, immunology, cell biology and pharmacology.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Dendritic cells, In vitro testing, Plant protection products, Proteomics
in
Data in Brief
volume
46
article number
108878
publisher
Elsevier
external identifiers
  • scopus:85146231069
  • pmid:36660445
ISSN
2352-3409
DOI
10.1016/j.dib.2022.108878
language
English
LU publication?
yes
additional info
© 2023 The Author(s).
id
eac4b563-d4b7-4f39-b459-da1729a0c3cf
date added to LUP
2023-01-25 20:19:39
date last changed
2024-11-11 02:21:51
@article{eac4b563-d4b7-4f39-b459-da1729a0c3cf,
  abstract     = {{<p>Dendritic cells are the sentinels of the immune system, linking the innate and adaptive immune response. Myeloid and dendritic cell models have been successfully used in in vitro approaches to predict adverse outcomes such as skin sensitization. We here exposed a well-characterized human dendritic cell-like cell line to agricultural chemicals, including fungicide formulations, active ingredients, adjuvants and defined mixtures for 24 h to profile induced changes on protein levels. Cell pellets were harvested and prepared for bottom-up label-free analysis with peptide separation on an EASY-nano LC system 1200 coupled online with a QExactive HF-X mass spectrometer with data-dependent acquisition (DDA). The raw data files and processed quantitative data have been deposited to ProteomeXchange with the data identification number PXD034624 and are described here. The data in this article may serve as a resource for researchers interested in e.g. human toxicology, immunology, cell biology and pharmacology. </p>}},
  author       = {{de Ávila, Renato Ivan and Carreira Santos, Sofía and Siino, Valentina and Levander, Fredrik and Lindstedt, Malin and Zeller, Kathrin S}},
  issn         = {{2352-3409}},
  keywords     = {{Dendritic cells; In vitro testing; Plant protection products; Proteomics}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Elsevier}},
  series       = {{Data in Brief}},
  title        = {{A proteomics dataset capturing myeloid cell responses upon cellular exposure to fungicides, adjuvants and fungicide formulations}},
  url          = {{http://dx.doi.org/10.1016/j.dib.2022.108878}},
  doi          = {{10.1016/j.dib.2022.108878}},
  volume       = {{46}},
  year         = {{2023}},
}