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Quantification of cytokines secreted by primary human cells using multiple reaction monitoring: evaluation of analytical parameters

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2015
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Quantification of cytokines secreted by primary human cells using multiple reaction monitoring: evaluation of analytical parameters
Published in
Analytical & Bioanalytical Chemistry, June 2015
DOI 10.1007/s00216-015-8817-9
Pubmed ID
Authors

Besnik Muqaku, Astrid Slany, Andrea Bileck, Dominique Kreutz, Christopher Gerner

Abstract

Determination of secreted proteins provides highly valuable information about cell functions. While the typical methods for the determination of biologically relevant but low abundant molecular species still rely on the use of specific antibodies, mass spectrometry-based methods are now gaining sufficient sensitivity to cope with such challenges as well. In the current study, we have identified several cytokines and chemokines which were induced in primary human umbilical vein endothelial cells upon inflammatory activation. Based on the high-resolution mass spectrometry data obtained with a Q Exactive orbitrap, we built an MRM method to quantify the most relevant molecules selected from the screening experiment. All experimental data are available via ProteomeXchange, PXD002211/12, and Panorama ( www.panoramaweb.org ). Using nano-flow Chip-HPLC coupled to a 6490 triple-quadrupole MS for MRM analyses, we achieved calibration curves covering a linear range of four orders of magnitude and detection limits in the low attomol per microliter concentration range. Carryover was consistently less than 0.005 %, the accuracy was between 80 and 120 %, and the median coefficient of variation for LC/MS was only 2.2 %. When including the variance of quantification introduced by cell culture and digestion, the coefficient of variation was less than 20 % for most peptides. With appropriate marker molecules, we monitored typical variations introduced by cell culture caused by differences in cell numbers, proliferative states, and cell death. As a result, here, we present a robust and efficient MRM-based assay for the accurate and sensitive determination of cytokines and chemokines representative for functional cell states and including comprehensive quality controls. Graphical Abstract Work flow diagram: Data processing steps beginning with orbitrap-based shotgun data acquisition and MaxQuant data analysis, followed by peptide and transition selection for MRM analysis using Skyline and experimental validation using triple quadrupole MS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Professor 2 5%
Professor > Associate Professor 2 5%
Other 5 14%
Unknown 8 22%
Readers by discipline Count As %
Chemistry 7 19%
Biochemistry, Genetics and Molecular Biology 7 19%
Medicine and Dentistry 3 8%
Agricultural and Biological Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 16%
Unknown 10 27%
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 05 August 2015.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,601
of 9,618 outputs
Outputs of similar age
#203,510
of 278,553 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#59
of 191 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% 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 278,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 191 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 61% of its contemporaries.