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Visualization of acetylcholine distribution in central nervous system tissue sections by tandem imaging mass spectrometry

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Visualization of acetylcholine distribution in central nervous system tissue sections by tandem imaging mass spectrometry
Published in
Analytical & Bioanalytical Chemistry, April 2012
DOI 10.1007/s00216-012-5988-5
Pubmed ID
Authors

Yuki Sugiura, Nobuhiro Zaima, Mitsutoshi Setou, Seiji Ito, Ikuko Yao

Abstract

Metabolite distribution imaging via imaging mass spectrometry (IMS) is an increasingly utilized tool in the field of neurochemistry. As most previous IMS studies analyzed the relative abundances of larger metabolite species, it is important to expand its application to smaller molecules, such as neurotransmitters. This study aimed to develop an IMS application to visualize neurotransmitter distribution in central nervous system tissue sections. Here, we raise two technical problems that must be resolved to achieve neurotransmitter imaging: (1) the lower concentrations of bioactive molecules, compared with those of membrane lipids, require higher sensitivity and/or signal-to-noise (S/N) ratios in signal detection, and (2) the molecular turnover of the neurotransmitters is rapid; thus, tissue preparation procedures should be performed carefully to minimize postmortem changes. We first evaluated intrinsic sensitivity and matrix interference using Matrix Assisted Laser Desorption/Ionization (MALDI) mass spectrometry (MS) to detect six neurotransmitters and chose acetylcholine (ACh) as a model for study. Next, we examined both single MS imaging and MS/MS imaging for ACh and found that via an ion transition from m/z 146 to m/z 87 in MS/MS imaging, ACh could be visualized with a high S/N ratio. Furthermore, we found that in situ freezing method of brain samples improved IMS data quality in terms of the number of effective pixels and the image contrast (i.e., the sensitivity and dynamic range). Therefore, by addressing the aforementioned problems, we demonstrated the tissue distribution of ACh, the most suitable molecular specimen for positive ion detection by IMS, to reveal its localization in central nervous system tissues.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 99 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 23 22%
Professor > Associate Professor 13 13%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Other 14 13%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 25%
Chemistry 19 18%
Medicine and Dentistry 13 13%
Neuroscience 11 11%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 10 10%
Unknown 19 18%
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 26 October 2012.
All research outputs
#8,527,785
of 25,628,260 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,191
of 9,694 outputs
Outputs of similar age
#58,145
of 174,737 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#30
of 87 outputs
Altmetric has tracked 25,628,260 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 9,694 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 174,737 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 87 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 65% of its contemporaries.