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Metallomics

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Attention for Chapter 6: The Use of Stable Isotopic Tracers in Metallomics Studies
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Chapter title
The Use of Stable Isotopic Tracers in Metallomics Studies
Chapter number 6
Book title
Metallomics
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-3-319-90143-5_6
Pubmed ID
Book ISBNs
978-3-31-990142-8, 978-3-31-990143-5
Authors

Maria Montes-Bayón, Jörg Bettmer, Montes-Bayón, Maria, Bettmer, Jörg

Abstract

Mass spectrometry represents an essential technique in Metallomics studies. It permits the identification of metal-containing molecules as part of the metallome as well as their quantification at low concentration levels. The technique becomes even more powerful in combination with the use of isotopically enriched species. Provided that they are stable, these isotopically labelled species can be easily distinguished from their natural counterparts by mass spectrometric techniques. This capability permits that these species are used for accurate and precise quantitative experiments and/or metabolic studies applying inductively coupled plasma as ionization source. In this chapter, we present the different concepts of using stable isotope tracers and isotope dilution analysis as quantification strategy. Besides some fundamental aspects, various examples from Metallomics studies, for instance, on the preparation of isotopically enriched metalloproteins and determination by isotope dilution analysis or the exploration of the biological pathways of Se species, are shown in order to demonstrate the usefulness of isotopes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Chemistry 1 17%
Engineering 1 17%
Unknown 3 50%