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Metabolite mapping by consecutive nanostructure and silver‐assisted mass spectrometry imaging on tissue sections

Overview of attention for article published in Rapid Communications in Mass Spectrometry, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Article details
Title
Metabolite mapping by consecutive nanostructure and silver‐assisted mass spectrometry imaging on tissue sections
Published in
Rapid Communications in Mass Spectrometry, May 2017
DOI 10.1002/rcm.7869
Pubmed ID
Authors
Abstract

Nanostructure-based mass spectrometry imaging (MSI) is a promising technology for molecular imaging of small molecules, without the complex chemical background typically encountered in matrix-assisted molecular imaging approaches.Here, we have enhanced these surfaces with silver (Ag) to provide a second tier of MSI data from a single sample. MSI data was acquired through the application of laser desorption/ionization mass spectrometry to biological samples imprinted onto desorption/ionisation on silicon (DIOS) substrates. Following initial analysis, ultra-thin Ag layers were overlaid onto the samples followed by MSI analysis (Ag-DIOS MSI). This approach was first demonstrated for fingermark small molecules including environmental contaminants and sebum components. Subsequently, this bimodal method was translated to lipids and metabolites in fore-stomach sections from a 6-bromoisatin chemopreventative murine mouse model. DIOS MSI allowed mapping ofcommon ions in fingermarks as well as 6-bromoisatin metabolites and lipids in murine fore-stomach. Furthermore, DIOS MSI was complemented by the theAg-DIOS MSI ofAg-adductable lipids such as wax esters in fingermarks and cholesterol in murine forestomach.Gastrointestinal acid condensation products of 6-bromoisatin, such as the 6,6'-dibromoindirubin mapped herein, are very challenging to isolate and characterize. By re-analysing the same tissue imprints,this metabolite was readily detected by DIOS,placed in a tissue-specific spatial context, and subsequently overlaid with additional lipiddistributions acquired using Ag-DIOS MSI. The ability to place metabolite and lipid classes in a tissue-specific context makes this novel method suited to MSIanalyses where the collection of additional information from the same sample maximises resource use,andalso maximises the number of annotated small molecules, in particular for metabolites that are typically undetectable with traditional platforms.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Researcher 2 13%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline
Readers by discipline Count As %
Chemistry 5 33%
Computer Science 2 13%
Materials Science 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 4 27%
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 14 May 2017.
All research outputs
#5,679,087
of 26,790,571 outputs
Outputs from Rapid Communications in Mass Spectrometry
#473
of 5,157 outputs
Outputs of similar age
#87,278
of 333,199 outputs
Outputs of similar age from Rapid Communications in Mass Spectrometry
#3
of 56 outputs
Altmetric has tracked 26,790,571 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,157 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 90% 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 333,199 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 73% of its contemporaries.
We're also able to compare this research output to 56 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 94% of its contemporaries.