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Comprehensive and simultaneous coverage of lipid and polar metabolites for endogenous cellular metabolomics using HILIC-TOF-MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2014
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Title
Comprehensive and simultaneous coverage of lipid and polar metabolites for endogenous cellular metabolomics using HILIC-TOF-MS
Published in
Analytical & Bioanalytical Chemistry, April 2014
DOI 10.1007/s00216-014-7797-5
Pubmed ID
Authors

Fan Fei, Dawn M. E. Bowdish, Brian E. McCarry

Abstract

The comprehensive metabolomic analyses using eukaryotic and prokaryotic cells are an effective way to identify biomarkers or biochemical pathways which can then be used to characterize disease states, differences between cell lines or inducers of cellular stress responses. One of the most commonly used extraction methods for comprehensive metabolomics is the Bligh and Dyer method (BD) which separates the metabolome into polar and nonpolar fractions. These fractions are then typically analysed separately using hydrophilic interaction liquid chromatography (HILIC) and reversed-phase (RP) liquid chromatography (LC), respectively. However, this method has low sample throughput and can also be biased to either polar or nonpolar metabolites. Here, we introduce a MeOH/EtOH/H2O extraction paired with HILIC-time-of-flight (TOF)-mass spectrometry (MS) for comprehensive and simultaneous detection of both polar and nonpolar metabolites that is compatible for a wide array of cellular species cultured in different growth media. This method has been shown to be capable of separating polar metabolites by a HILIC mechanism and classes of lipids by an adsorption-like mechanism. Furthermore, this method is scalable and offers a substantial increase in sample throughput compared to BD with comparable extraction efficiency. This method was able to cover 92.2 % of the detectable metabolome of Gram-negative bacterium Sinorhizobium meliloti, as compared to 91.6 % of the metabolome by a combination of BD polar (59.4 %) and BD nonpolar (53.9 %) fractions. This single-extraction HILIC approach was successfully used to characterize the endometabolism of Gram-negative and Gram-positive bacteria as well as mammalian macrophages.

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Mendeley readers

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The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Switzerland 1 <1%
Sweden 1 <1%
Austria 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 34%
Researcher 29 21%
Student > Master 15 11%
Student > Doctoral Student 8 6%
Student > Bachelor 7 5%
Other 8 6%
Unknown 25 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 29%
Chemistry 31 22%
Biochemistry, Genetics and Molecular Biology 13 9%
Medicine and Dentistry 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 10 7%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,669
of 9,618 outputs
Outputs of similar age
#145,313
of 241,395 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#46
of 78 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.