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An LC-MS chemical derivatization method for the measurement of five different one-carbon states of cellular tetrahydrofolate

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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63 Mendeley
Title
An LC-MS chemical derivatization method for the measurement of five different one-carbon states of cellular tetrahydrofolate
Published in
Analytical & Bioanalytical Chemistry, August 2017
DOI 10.1007/s00216-017-0514-4
Pubmed ID
Authors

Li Chen, Gregory S. Ducker, Wenyun Lu, Xin Teng, Joshua D. Rabinowitz

Abstract

The cofactor tetrahydrofolate (THF) is used to reduce, oxidize, and transfer one-carbon (1C) units required for the synthesis of nucleotides, glycine, and methionine. Measurement of intracellular THF species is complicated by their chemical instability, signal dilution caused by variable polyglutamation, and the potential for interconversion among these species. Here, we describe a method using negative mode liquid chromatography-mass spectrometry (LC-MS) to measure intracellular folate species from mammalian cells. Application of this method with isotope-labeled substrates revealed abiotic interconversion of THF and methylene-THF, which renders their separate quantitation particularly challenging. Chemical reduction of methylene-THF using deuterated sodium cyanoborohydride traps methylene-THF, which is unstable, as deuterated 5-methyl-THF, which is stable. Together with proper sample handling and LC-MS, this enables effective measurements of five active folate pools (THF, 5-methyl-THF, methylene-THF, methenyl-THF/10-formyl-THF, and 5-formyl-THF) representing the biologically important 1C oxidation states of THF in mammalian cells. Graphical abstract Chemical derivatization with deuterated cyanoborohydride traps unstable methylene-THF as isotope-labeled 5-methyl-THF, enabling accurate quantification by LC-MS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 11 17%
Student > Bachelor 7 11%
Student > Master 7 11%
Student > Doctoral Student 4 6%
Other 5 8%
Unknown 13 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 35%
Agricultural and Biological Sciences 9 14%
Medicine and Dentistry 4 6%
Engineering 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 7 11%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 August 2019.
All research outputs
#5,167,753
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#775
of 9,619 outputs
Outputs of similar age
#82,463
of 327,545 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#5
of 173 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% of its peers.
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 327,545 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.