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Flow Cytometric Clinical Immunomonitoring Using Peptide–MHC Class II Tetramers: Optimization of Methods and Protocol Development

Overview of attention for article published in Frontiers in immunology, January 2018
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Title
Flow Cytometric Clinical Immunomonitoring Using Peptide–MHC Class II Tetramers: Optimization of Methods and Protocol Development
Published in
Frontiers in immunology, January 2018
DOI 10.3389/fimmu.2018.00008
Pubmed ID
Authors

Diahann T. S. L. Jansen, Nishta Ramnoruth, Khai L. Loh, Jamie Rossjohn, Hugh H. Reid, Hendrik J. Nel, Ranjeny Thomas

Abstract

With the advent of novel strategies to induce tolerance in autoimmune and autoimmune-like conditions, clinical trials of antigen-specific tolerizing immunotherapy have become a reality. Besides safety, it will be essential to gather mechanistic data on responding CD4+ T cells to assess the effects of various immunomodulatory approaches in early-phase trials. Peptide-MHC class II (pMHCII) multimers are an ideal tool for monitoring antigen-specific CD4+ T cell responses in unmanipulated cells directly ex vivo. Various protocols have been published but there are reagent and assay limitations across laboratories that could hinder their global application to immune monitoring. In this methodological analysis, we compare protocols and test available reagents to identify sources of variability and to determine the limitations of the tetramer binding assay. We describe a robust pMHCII flow cytometry-based assay to quantify and phenotype antigen-specific CD4+ T cells directly ex vivo from frozen peripheral blood mononuclear cell samples, which we suggest should be tested across various laboratories to standardize immune-monitoring results.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 34%
Student > Ph. D. Student 6 15%
Student > Bachelor 4 10%
Student > Master 3 7%
Student > Doctoral Student 1 2%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Immunology and Microbiology 11 27%
Medicine and Dentistry 8 20%
Agricultural and Biological Sciences 8 20%
Biochemistry, Genetics and Molecular Biology 2 5%
Unspecified 1 2%
Other 1 2%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 February 2018.
All research outputs
#16,423,440
of 25,932,719 outputs
Outputs from Frontiers in immunology
#17,146
of 32,608 outputs
Outputs of similar age
#259,940
of 453,934 outputs
Outputs of similar age from Frontiers in immunology
#406
of 649 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,608 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 42nd percentile – i.e., 42% 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 453,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 649 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.