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An optimised method for the proteomic profiling of full thickness human skin

Overview of attention for article published in Biological Procedures Online, July 2016
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Title
An optimised method for the proteomic profiling of full thickness human skin
Published in
Biological Procedures Online, July 2016
DOI 10.1186/s12575-016-0045-y
Pubmed ID
Authors

Emily Bliss, Wendy E. Heywood, Malika Benatti, Neil J. Sebire, Kevin Mills

Abstract

The skin is the largest organ of the human body and is the first line barrier defence against trauma, microbial infiltration and radiation. Skin diseases can be a result of multi-systemic disease or an isolated condition. Due to its proteolysis resistant properties there are relatively few human skin proteomic datasets published compared with other human organs or body fluids. Skin is a challenging tissue to analyse using traditional proteomic techniques due to its high lipid content, insolubility and extensive cross-linking of proteins. This can complicate the isolation and digestion of proteins for analysis using mass spectrometry techniques. We have optimised a sample preparation procedure to improve solubilisation and mass spectral compatibility of full thickness skin samples. Using this technique, we were able to obtain data for the proteome profile of full thickness human skin using on-line two-dimensional liquid chromatography, followed by ultra-high definition label-free mass spectrometry analysis (UDMS(E)). We were able to identify in excess of 2000 proteins from a full thickness skin sample. The adoption of on-line fractionation and optimised acquisition protocols utilising ion mobility separation (IMS) technology has significantly increased the scope for protein identifications ten-fold.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 29%
Student > Ph. D. Student 9 16%
Student > Bachelor 5 9%
Student > Master 3 5%
Student > Doctoral Student 3 5%
Other 12 21%
Unknown 8 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Agricultural and Biological Sciences 8 14%
Medicine and Dentistry 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 6 11%
Chemistry 5 9%
Other 10 18%
Unknown 10 18%
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 27 July 2016.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Biological Procedures Online
#171
of 192 outputs
Outputs of similar age
#336,389
of 378,817 outputs
Outputs of similar age from Biological Procedures Online
#3
of 3 outputs
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So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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