Alternativer Identifier:
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Verwandter Identifier:
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Ersteller/in:
Thiele, Christoph https://orcid.org/0000-0001-5161-2558 [Rheinische Friedrich-Wilhelms-Universität Bonn, LIMES Institut]
Beitragende:
(Project Leader)
Thiele, Christoph https://orcid.org/0000-0001-5161-2558 [Thiele, Christoph]

(Researcher)
Wunderling, Klaus https://orcid.org/0000-0003-1237-7510 [Wunderling, Klaus]

(Researcher)
Leyendecker, Philipp https://orcid.org/0000-0002-4709-9218 [Leyendecker, Philipp]
Titel:
data archive for: Thiele, Wunderling, Leyendecker (2019) Multiplexed and single cell tracing of lipid metabolism, Nature Methods, https://doi.org/10.1038/s41592-019-0593-6
Weitere Titel:
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Beschreibung:
(Table Of Contents) Abstact of the publication: Cellular lipid metabolism is a complex network process comprising dozens of enzymes, multiple organelles and more than a thousand lipid species. Tracing metabolic reactions in this network is a major technological and scientific challenge. Using a novel click-chemistry mass spectrometry reporter strategy, we have developed a specific, highly sensitive and robust tracing procedure for alkyne-labeled lipids. The method enables sample multiplexing, saving time and costs and improving sample comparison. We demonstrate this by a time-resolved analysis of hepatocyte glycerolipid metabolism with parallel quantitiative monitoring of 120 labeled lipid species. The sub-femtomole sensitivity enabled the first single cell analysis of fatty acid incorporation into neutral and membrane lipids. The results demonstrate the robustness of lipid homeostasis at the single cell level. Content: This archive contains the primary Mass Spectrometry .raw files of all relevant data shown in the paper. Further, it contains the masterscan .sc files of the LipidXplorer software that result from the import of the .raw files into the software. Thes .sc files can be searched using LipidXplorer, using the .mfql files that are also part of this archive. Data are organized in folders according to the Figures and Supplementary Items of the original publication. Each folder contains a separate readme file that explaines the type of files, their origin and possible use.
Schlagworte:
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Zugehörige Informationen:
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Sprache:
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Herausgeber/in:
Thiele, Christoph
Erstellungsjahr:
Fachgebiet:
Biochemistry
Objekttyp:
Dataset
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Rechteinhaber/in:
Christoph Thiele
Förderung:
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Status:
Publiziert
Eingestellt von:
cthieleLIMES
Erstellt am:
Archivierungsdatum:
2019-10-14
Archivgröße:
3,7 GB
Archiversteller:
cthieleLIMES
Archiv-Prüfsumme:
d6a4d58892952c5b9a3202ce28109fcd (MD5)
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