Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells

The data contain information related to the research article entitled “Profiling of promoter occupancy by the SND1 transcriptional coactivator identifies downstream glycerolipid metabolic genes involved in TNFα response in human hepatoma cells” (DOI: 10.1093/nar/gkv858). In the article alluded to, w...

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Main Authors: Yolanda Chico, Beatriz Abad-García, Begoña Ochoa, María José Martínez
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919309631
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author Yolanda Chico
Beatriz Abad-García
Begoña Ochoa
María José Martínez
author_facet Yolanda Chico
Beatriz Abad-García
Begoña Ochoa
María José Martínez
author_sort Yolanda Chico
collection DOAJ
description The data contain information related to the research article entitled “Profiling of promoter occupancy by the SND1 transcriptional coactivator identifies downstream glycerolipid metabolic genes involved in TNFα response in human hepatoma cells” (DOI: 10.1093/nar/gkv858). In the article alluded to, we reported that tumor necrosis factor alpha (TNFα) increases notably the cellular content of the major glycerolipid phosphatidylcholine (PC). Here, accompanying lipidomic data determine the PC structural variants that have been identified in human hepatoma HepG2 cells and those whose relative abundance is modified by TNFα. We used ultrahigh performance liquid chromatography (UHPLC) coupled to electrospray ionization (ESI) tandem mass spectrometry (MS/MS)-based lipidomic profiling to analyze lipid extracts of control and TNFα-treated HepG2 cells. The identity of PC individual species was elucidated using the values of the retention time and molecular weight in addition to the fragmentation patterns. MS data were then processed and analyzed for the characterization of statistically significant differences in detected structural variants. We have annotated the dataset of PC species that characterize HepG2 cells' phenotype, both under normal and pro-inflammatory conditions. Keywords: Hepatocarcinoma, Phospholipid composition, Mass spectrometry
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spelling doaj.art-ec22a0132f164575894fdca6764af91a2022-12-22T01:58:05ZengElsevierData in Brief2352-34092019-12-0127Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cellsYolanda Chico0Beatriz Abad-García1Begoña Ochoa2María José Martínez3Lipids & Liver Research Group, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, SpainCentral Analysis Service, Faculty of Science and Technology, University of the Basque Country UPV/EHU, Leioa, SpainLipids & Liver Research Group, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, SpainLipids & Liver Research Group, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, Spain; Corresponding author.The data contain information related to the research article entitled “Profiling of promoter occupancy by the SND1 transcriptional coactivator identifies downstream glycerolipid metabolic genes involved in TNFα response in human hepatoma cells” (DOI: 10.1093/nar/gkv858). In the article alluded to, we reported that tumor necrosis factor alpha (TNFα) increases notably the cellular content of the major glycerolipid phosphatidylcholine (PC). Here, accompanying lipidomic data determine the PC structural variants that have been identified in human hepatoma HepG2 cells and those whose relative abundance is modified by TNFα. We used ultrahigh performance liquid chromatography (UHPLC) coupled to electrospray ionization (ESI) tandem mass spectrometry (MS/MS)-based lipidomic profiling to analyze lipid extracts of control and TNFα-treated HepG2 cells. The identity of PC individual species was elucidated using the values of the retention time and molecular weight in addition to the fragmentation patterns. MS data were then processed and analyzed for the characterization of statistically significant differences in detected structural variants. We have annotated the dataset of PC species that characterize HepG2 cells' phenotype, both under normal and pro-inflammatory conditions. Keywords: Hepatocarcinoma, Phospholipid composition, Mass spectrometryhttp://www.sciencedirect.com/science/article/pii/S2352340919309631
spellingShingle Yolanda Chico
Beatriz Abad-García
Begoña Ochoa
María José Martínez
Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
Data in Brief
title Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
title_full Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
title_fullStr Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
title_full_unstemmed Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
title_short Lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in HepG2 cells
title_sort lipidomic data uncover extensive heterogeneity in phosphatidylcholine structural variants in hepg2 cells
url http://www.sciencedirect.com/science/article/pii/S2352340919309631
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AT beatrizabadgarcia lipidomicdatauncoverextensiveheterogeneityinphosphatidylcholinestructuralvariantsinhepg2cells
AT begonaochoa lipidomicdatauncoverextensiveheterogeneityinphosphatidylcholinestructuralvariantsinhepg2cells
AT mariajosemartinez lipidomicdatauncoverextensiveheterogeneityinphosphatidylcholinestructuralvariantsinhepg2cells