Published September 24, 2021 | Version v1

Thirdhand smoke induces metabolic alterations associated with mitochondria dysfunction in kidney of exposed mice

  • 1. Universitat Rovira i Virgili, IISPV, CIBERDEM
  • 2. Department of Molecular, Cell and Systems Biology, University of California

Description

This dataset contains all raw LC-MS data of kidney extracts from mice exposed to thirdhand smoke (THS) used in the paper Thirdhand smoke induces metabolic alterations associated with mitochondria dysfunction in kidney of exposed mice.

Objective: The goal of this study is to characterize the THS-induced molecular alterations in kidney using an LC-based untargeted metabolomic approach.

Experimental groups: Kidney extracts were from three mice groups: control group (CTRL, n=3), which was never exposed to THS; THS exposed group (THS, n=5), was exposed to THS from weaning (three weeks of age) to 24 weeks, and THS exposed group under an antioxidant treatment (THS-AO, n=5) was exposed to THS and treated with antioxidants (N-acetylcysteine and α-tocopherol) daily from weaning until the end of the experiment.

Sample extraction: Metabolites were extracted from kidneys using a biphasic mixture of organic solvents containing acetonitrile, Milli-Q water, dichloromethane and methanol. Quality control samples (QCs) were prepared by pooling equal volumes of each extract and analysed every five samples to ensure data quality and reproducibility.

LC-MS analysis: Kidney samples were analysed using a 1290 UHPLC system coupled to a 6550 quadrupole time of flight (QTOF) from Agilent Technologies in ESI+ mode. Chromatographic separation was conducted on a ACQUITY UHPLC BEH HILIC column (1.7 µm, 150 × 2.1 mm, Waters) for aqueous extracts and a an Kinetex EVO C18 column (1.7 µm, 150 × 2.1 mm, Phenomenex) for lipid extracts.

LC-MS files are named following this code:

  1. Extracts: AQ: Aqueous extracts; LIP: Lipid extracts
  2. Samples: CTRL: control group; THS: THS exposed group; THS-AO: THS exposed group under an antioxidant treatment.
  3. Files: mzDATA: LC-MS raw data in mzXML format; MSMS: MS/MS data used for identification of metabolites in mzXML format.

Technical information

  1. Sample extraction and data acquisition (single date, range, approximate date): 2018-07 to 2018-10
  2. Data analysis (single date, range, approximate date): 2019-01 to 2021-06
  3. Geographic location of data collection:
    • Mice exposure: Department of Molecular, Cell and Systems Biology, University of California, Riverside CA 92521, U.S.A
    • Sample extraction and data acquisition: Universitat Rovira i Virgili, Departament d’Enginyeria Electrònica, Elèctrica i Automàtica, Tarragona, Spain.
  4. Information about funding sources that supported the collection of the data: This research was funded by the European Union’s Horizon 2020 research and innovation pro-gramme under the Marie Sklodowska-Curie grant agreement No. 660034; the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya through C.M.’s predoctoral grant number 2020 FI_B2 00118; the Spanish Ministry of Science & Innovation through N.R.’s Juan de la Cierva Incorporación grant No. (IJCI- 2015-23158); N.R.’s Miguel Servet contract (CP19/00060) from Instituto de Salud Carlos III, co-financed by Fondo Europeo de Desarrollo Regional (FEDER), Unión Europea, “Una manera de hacer Europa”; and the Tobacco-Related Disease Research Program (TRDRP) of the University of California under projects 22RT- 0121 and 23DT-0103.

Files

MSMS.zip

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