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Antibody-free quantification of seven tau peptides in human CSF using targeted mass spectrometry

Overview of attention for article published in Frontiers in Neuroscience, September 2015
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 patents

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Title
Antibody-free quantification of seven tau peptides in human CSF using targeted mass spectrometry
Published in
Frontiers in Neuroscience, September 2015
DOI 10.3389/fnins.2015.00302
Pubmed ID
Authors

Pauline Bros, Jérôme Vialaret, Nicolas Barthelemy, Vincent Delatour, Audrey Gabelle, Sylvain Lehmann, Christophe Hirtz

Abstract

Tau protein concentration in cerebrospinal fluid (CSF) is currently used as a sensitive and specific biomarker for Alzheimer's disease. Its detection currently relies on ELISA but the perspective of using mass spectrometry (MS) to detect its different proteoforms represents an interesting alternative. This is however an analytical challenge because of its low concentration in the CSF, a biological fluid collected in small volume by lumbar puncture, and with a high structural heterogeneity. To overcome these issues, instead of using immunocapture as previously done, we rather relied on an original two steps pre-fractionation technique of CSF: perchloric acid (PCA) followed by micro solid phase extraction (μSPE). We could then measure seven tau trypsic peptides by Multiple Reaction Monitoring (MRM) on a triple quadrupole mass spectrometer. Quantification was performed using isotopically labeled (15)N- recombinant tau protein as internal standard and validated using CSF pools with low, medium, or high tau concentrations (HTCs). Repeatability, intermediate precision, linearity, limit of quantification (LOQ), and recovery were calculated for the different peptides. This new MRM assay, which allowed for the first time CSF tau protein quantification without immunocapture, has important potential application to follow tau metabolism in both diagnostic and therapeutic research.

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The data shown below were collected from the profile of 1 X user 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 9 16%
Other 5 9%
Student > Master 4 7%
Professor > Associate Professor 3 5%
Other 8 14%
Unknown 15 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 19%
Agricultural and Biological Sciences 10 18%
Medicine and Dentistry 5 9%
Chemistry 5 9%
Neuroscience 3 5%
Other 7 12%
Unknown 16 28%
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 12 April 2023.
All research outputs
#5,338,695
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#4,041
of 11,538 outputs
Outputs of similar age
#62,838
of 276,788 outputs
Outputs of similar age from Frontiers in Neuroscience
#31
of 127 outputs
Altmetric has tracked 25,373,627 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 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 64% 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 276,788 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.