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Toward a high-throughput approach to quantitative proteomic analysis: Expression-dependent protein identification by mass spectrometry

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, December 2001
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Title
Toward a high-throughput approach to quantitative proteomic analysis: Expression-dependent protein identification by mass spectrometry
Published in
Journal of the American Society for Mass Spectrometry, December 2001
DOI 10.1016/s1044-0305(01)00316-6
Pubmed ID
Authors

Timothy J. Griffin, David K. M. Han, Steven P. Gygi, Beate Rist, Hookeun Lee, Ruedi Aebersold, Kenneth C. Parker

Abstract

The isotope-coded affinity tag (ICAT) technology enables the concurrent identification and comparative quantitative analysis of proteins present in biological samples such as cell and tissue extracts and biological fluids by mass spectrometry. The initial implementation of this technology was based on microcapillary chromatography coupled on-line with electrospray ionization tandem mass spectrometry. This implementation lacked the ability to select proteins for identification based on their relative abundance and therefore to focus on differentially expressed proteins. In order to improve the sample throughput of this technology, we have developed a two-step approach that is focused on those proteins for which the abundance changes between samples: First, a new software program for the automated quantification of ICAT reagent labeled peptides analyzed by microcapillary electrospray ionization time-of-flight mass spectrometry determines those peptides that differ in their abundance and second, these peptides are identified by tandem mass spectrometry using an electrospray quadrupole time-of flight mass spectrometer and sequence database searching. Results from the application of this approach to the analysis of differentially expressed proteins secreted from nontumorigenic human prostate epithelial cells and metastatic cancerous human prostate epithelial cells are shown.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 35%
Student > Ph. D. Student 5 10%
Professor > Associate Professor 4 8%
Professor 4 8%
Student > Bachelor 3 6%
Other 9 19%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Biochemistry, Genetics and Molecular Biology 10 21%
Chemistry 7 15%
Medicine and Dentistry 2 4%
Mathematics 1 2%
Other 3 6%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 July 2019.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#1,226
of 3,833 outputs
Outputs of similar age
#32,691
of 132,007 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#5
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,833 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 132,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.