Isotopomer analysis of lipid biosynthesis by high resolution mass spectrometry and NMR.
Isotopomer analysis of lipid biosynthesis by high resolution mass spectrometry and NMR.
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DOI:
10.1016/j.aca.2009.08.032
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发表时间:
2009-10-05
影响因子:
6.2
通讯作者:
Higashi RM
中科院分区:
文献类型:
--
作者:
Lane AN;Fan TW;Xie Z;Moseley HN;Higashi RM
We have coupled 2D-NMR and infusion FT-ICR-MS with computer-assisted assignment to profile 13C-isotopologues of glycerophospholipids (GPL) directly in crude cell extracts, resulting in very high information throughput of >3000 isobaric molecules in a few minutes. A mass accuracy of better than 1 ppm combined with a resolution of 100,000 at the measured m/z was required to distinguish isotopomers from other GPL structures. Isotopologue analysis of GPLs extracted from LCC2 breast cancer cells grown on [U-13C]-glucose provided a rich trove of information about the biosynthesis and turnover of the GPLs. The isotopologue intensity ratios from the FT-ICR-MS were accurate to ≈ 1% or better based on natural abundance background, and depended on the signal-to-nose ratio. The time course of incorporation of 13C from [U-13C]-glucose into a particular phosphatidylcholine was analyzed in detail, to provide a quantitative measure of the sizes of glycerol, acetyl CoA and total GPL pools in growing LCC2 cells. Independent and complementary analysis of the positional 13C enrichment in the glycerol and fatty acyl chains obtained from high resolution 2D NMR was used to verify key aspects of the model. This technology enables simple and rapid sample preparation, has rapid analysis, and is generally applicable to unfractionated GPLs of almost any head group, and to mixtures of other classes of metabolites.
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影响因子:
2.9
作者:
Neese, RA;Siler, SQ;Hellerstein, MK
通讯作者:
Hellerstein, MK
DOI:
10.1016/s1096-4959(02)00006-4
发表时间:
2002-03-01
影响因子:
2.2
作者:
Carrasco, MP;Jiménez-López, JM;Marco, C
通讯作者:
Marco, C
影响因子:
11.2
作者:
Glunde, K;Jie, C;Bhujwalla, ZM
通讯作者:
Bhujwalla, ZM
影响因子:
3.6
作者:
Fan, Teresa W. M.;Bandura, Laura L.;Lane, Andrew N.
通讯作者:
Lane, Andrew N.
影响因子:
6.5
作者:
Milne, SB;Ivanova, PT;Brown, HA
通讯作者:
Brown, HA