期刊
JOURNAL OF PROTEOME RESEARCH
卷 17, 期 4, 页码 1606-1614出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.7b00896
关键词
fatty acids; LC-MS/MS; identification and quantification; aminoxyTMT; cancer cells
资金
- National Institute of General Medical Sciences of the National Institutes of Health [R01GM118803]
- National Science Foundation (CAREER Award) [CHE-1454501]
- Direct For Mathematical & Physical Scien
- Division Of Chemistry [1454501] Funding Source: National Science Foundation
Fatty acids (FAs) are essential components in cells and are involved in many cellular activities. Abnormal FA metabolism has been reported to be related to human diseases such as cancer and cardiovascular diseases. Identification and quantification of FM provide insights into their functions in biological systems, but it is very challenging to analyze them due to their structures and properties. In this work, we developed a novel method by integrating FM tagged with stable isotope labeled aminoxy tandem mass tags (amino-xyTMTs) and mass spectrometric analysis in the positive mode. On the basis of their structures, the aminoxyTMT reagents reacted with the carboxylic acid group of the FM, resulting in an amine group with high proton affinity covalently attached to the analytes. This enabled the analysis of FM under the positive electrospray ionization-mass spectrometry (ESI-MS) mode, which is normally more popular and sensitive compared to the negative mode. More importantly, the multiplexed TMT tags allowed us to quantify FM from several samples simultaneously, which increased the experimental throughput and quantification accuracy. FAs extracted from three types of breast cells, i.e., MCF 10A (normal), MCF7 (minimally invasive) and MDA-MB-231 (highly invasive) cells, were labeled with the six-plexed aminoxyTMTs and quantified by LC-MS/MS. The results demonstrated that the abundances of some FM, such as C22:5 and C20:3, were markedly increased in MCF7 and MDA-MB-231 cancer cells compared to normal MCF 10A cells. For the first time, aminoxyTMT reagents were exploited to label FM for their identification and quantification in complex biological samples in the positive MS mode. The current method enabled us to confidently identify FM and to accurately quantify them from several samples simultaneously. Because this method does not have sample restrictions, it can be extensively applied for biological and biomedical research.
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