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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2019-12-01
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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 |
first_indexed | 2024-12-10T07:10:23Z |
format | Article |
id | doaj.art-ec22a0132f164575894fdca6764af91a |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-10T07:10:23Z |
publishDate | 2019-12-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
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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