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MALDI imaging in human skin tissue sections: focus on various matrices and enzymes

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2012
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 X user
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Citations

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79 Mendeley
Title
MALDI imaging in human skin tissue sections: focus on various matrices and enzymes
Published in
Analytical & Bioanalytical Chemistry, November 2012
DOI 10.1007/s00216-012-6508-3
Pubmed ID
Authors

Bernd Enthaler, Maria Trusch, Markus Fischer, Claudius Rapp, Julia K. Pruns, Jens-Peter Vietzke

Abstract

Matrix-assisted laser/desorption ionization (MALDI) mass-spectrometric imaging (MSI), also known as MALDI imaging, is a powerful technique for mapping biological molecules such as endogenous proteins and peptides in human skin tissue sections. A few groups have endeavored to apply MALDI-MSI to the field of skin research; however, a comprehensive article dealing with skin tissue sections and the application of various matrices and enzymes is not available. Our aim is to present a multiplex method, based on MALDI-MSI, to obtain the maximum information from skin tissue sections. Various matrices were applied to skin tissue sections: (1) 9-aminoacridine for imaging metabolites in negative ion mode; (2) sinapinic acid to obtain protein distributions; (3) α-cyano-4-hydroxycinnamic acid subsequent to on-tissue enzymatic digestion by trypsin, elastase, and pepsin, respectively, to localize the resulting peptides. Notably, substantial amounts of data were generated from the distributions retrieved for all matrices applied. Several primary metabolites, e.g. ATP, were localized and subsequently identified by on-tissue postsource decay measurements. Furthermore, maps of proteins and peptides derived from on-tissue digests were generated. Identification of peptides was achieved by elution with different solvents, mixing with α-cyano-4-hydroxycinnamic acid, and subsequent tandem mass spectrometry (MS/MS) measurements, thereby avoiding on-tissue MS/MS measurements. Highly abundant peptides were identified, allowing their use as internal calibrants in future MALDI-MSI analyses of human skin tissue sections. Elastin as an endogenous skin protein was identified only by use of elastase, showing the high potential of alternative enzymes. The results show the versatility of MALDI-MSI in the field of skin research. This article containing a methodological perspective depicts the basics for a comprehensive comparison of various skin states.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
China 1 1%
Germany 1 1%
Switzerland 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 14 18%
Student > Master 13 16%
Student > Bachelor 8 10%
Student > Doctoral Student 7 9%
Other 14 18%
Unknown 9 11%
Readers by discipline Count As %
Chemistry 23 29%
Biochemistry, Genetics and Molecular Biology 14 18%
Agricultural and Biological Sciences 14 18%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Medicine and Dentistry 3 4%
Other 8 10%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 February 2015.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,975
of 9,619 outputs
Outputs of similar age
#63,077
of 196,744 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#19
of 67 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 well, scoring higher than 77% 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 196,744 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 66% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.