2021
DOI: 10.1101/2021.02.19.431944
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The biosynthesis of phospholipids is linked to the cell cycle in a model eukaryote

Abstract: The structural challenges faced by eukaryotic cells through the cell cycle are key for understanding cell viability and proliferation. In this study, we tested the hypothesis that the biosynthesis of structural lipids is linked to the cell cycle. If true, this would suggest that the cell's structure would form part the control of the cell cycle. Lipidomics (31P NMR and MS), proteomics (Western immunoblotting) and transcriptomics (RT-qPCR) techniques were used to profile the lipid fraction and characterise a… Show more

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Cited by 1 publication
(3 citation statements)
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“…These results suggest that a minimum of 4 mg of lipids from biological extracts is required for a reliable 31 P NMR sample of typical mixed lipids. Although this may be challenging for some human studies, this sample size is more achievable, even desirable, for small-scale studies [23,25].…”
Section: Sample Concentrationmentioning
confidence: 99%
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“…These results suggest that a minimum of 4 mg of lipids from biological extracts is required for a reliable 31 P NMR sample of typical mixed lipids. Although this may be challenging for some human studies, this sample size is more achievable, even desirable, for small-scale studies [23,25].…”
Section: Sample Concentrationmentioning
confidence: 99%
“…A tailormade solvent mixture that maximizes solubility of phospholipids and gives good separation of resonances whilst limiting that of polar and non-polar material (such as sugars and triglycerides, respectively), has been developed for this purpose [18][19][20][21]. The availability of such a solvent system has led to 31 P NMR being used as the sole technique for acquiring lipidomics data for some low-and medium-throughput studies [22][23][24][25]. 31 P NMR is useful for providing a straightforward spectrum of lipid class abundance but can also be used to acquire data about the molecular structure of lipids and allows us to correct for different ionization efficiencies in in MS lipidomics data.…”
Section: Introductionmentioning
confidence: 99%
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