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Chemical Diagnostics

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Attention for Chapter 413: Advances in MALDI Mass Spectrometry in Clinical Diagnostic Applications.
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Chapter title
Advances in MALDI Mass Spectrometry in Clinical Diagnostic Applications.
Chapter number 413
Book title
Chemical Diagnostics
Published in
Topics in current chemistry, April 2013
DOI 10.1007/128_2012_413
Pubmed ID
Book ISBNs
978-3-64-239941-1, 978-3-64-239942-8
Authors

Ng EW, Wong MY, Poon TC, Eddy W. Y. Ng, Melody Y. M. Wong, Terence C. W. Poon

Abstract

The concept of matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) was first reported in 1985. Since then, MALDI MS technologies have been evolving, and successfully used in genome, proteome, metabolome, and clinical diagnostic research. These technologies are high-throughput and sensitive. Emerging evidence has shown that they are not only useful in qualitative and quantitative analyses of proteins, but also of other types of biomolecules, such as DNA, glycans, and metabolites. Recently, parallel fragmentation monitoring (PFM), which is a method comparable to selected reaction monitoring, has been reported. This highlights the potentials of MALDI-TOF/TOF tandem MS in quantification of metabolites. Here we critically review the applications of the major MALDI MS technologies, including MALDI-TOF MS, MALDI-TOF/TOF MS, SALDI-TOF MS, MALDI-QqQ MS, and SELDI-TOF MS, to the discovery and quantification of disease biomarkers in biological specimens, especially those in plasma/serum specimens. Using SELDI-TOF MS as an example, the presence of systemic bias in biomarker discovery studies employing MALDI-TOF MS and its possible solutions are also discussed in this chapter. The concepts of MALDI, SALDI, SELDI, and PFM are complementary to each other. Theoretically, all these technologies can be combined, leading to the next generation of the MALDI MS technologies. Real applications of MALDI MS technologies in clinical diagnostics should be forthcoming.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Bachelor 4 16%
Researcher 3 12%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 36%
Medicine and Dentistry 3 12%
Chemistry 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Immunology and Microbiology 1 4%
Other 3 12%
Unknown 6 24%
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 29 April 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Topics in current chemistry
#116
of 147 outputs
Outputs of similar age
#151,154
of 199,511 outputs
Outputs of similar age from Topics in current chemistry
#4
of 5 outputs
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So far Altmetric has tracked 147 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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