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Determination of a Predictive Cleavage Motif for Eluted Major Histocompatibility Complex Class II Ligands

Overview of attention for article published in Frontiers in immunology, August 2018
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Title
Determination of a Predictive Cleavage Motif for Eluted Major Histocompatibility Complex Class II Ligands
Published in
Frontiers in immunology, August 2018
DOI 10.3389/fimmu.2018.01795
Pubmed ID
Authors

Sinu Paul, Edita Karosiene, Sandeep Kumar Dhanda, Vanessa Jurtz, Lindy Edwards, Morten Nielsen, Alessandro Sette, Bjoern Peters

Abstract

CD4+ T cells have a major role in regulating immune responses. They are activated by recognition of peptides mostly generated from exogenous antigens through the major histocompatibility complex (MHC) class II pathway. Identification of epitopes is important and computational prediction of epitopes is used widely to save time and resources. Although there are algorithms to predict binding affinity of peptides to MHC II molecules, no accurate methods exist to predict which ligands are generated as a result of natural antigen processing. We utilized a dataset of around 14,000 naturally processed ligands identified by mass spectrometry of peptides eluted from MHC class II expressing cells to investigate the existence of sequence signatures potentially related to the cleavage mechanisms that liberate the presented peptides from their source antigens. This analysis revealed preferred amino acids surrounding both N- and C-terminuses of ligands, indicating sequence-specific cleavage preferences. We used these cleavage motifs to develop a method for predicting naturally processed MHC II ligands, and validated that it had predictive power to identify ligands from independent studies. We further confirmed that prediction of ligands based on cleavage motifs could be combined with predictions of MHC binding, and that the combined prediction had superior performance. However, when attempting to predict CD4+ T cell epitopes, either alone or in combination with MHC binding predictions, predictions based on the cleavage motifs did not show predictive power. Given that peptides identified as epitopes based on CD4+ T cell reactivity typically do not have well-defined termini, it is possible that motifs are present but outside of the mapped epitope. Our attempts to take that into account computationally did not show any sign of an increased presence of cleavage motifs around well-characterized CD4+ T cell epitopes. While it is possible that our attempts to translate the cleavage motifs in MHC II ligand elution data into T cell epitope predictions were suboptimal, other possible explanations are that the cleavage signal is too diluted to be detected, or that elution data are enriched for ligands generated through an antigen processing and presentation pathway that is less frequently utilized for T cell epitopes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 20%
Student > Master 17 15%
Student > Ph. D. Student 14 13%
Student > Bachelor 8 7%
Other 7 6%
Other 14 13%
Unknown 30 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 23%
Immunology and Microbiology 16 14%
Agricultural and Biological Sciences 11 10%
Computer Science 7 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 14 13%
Unknown 35 31%
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 06 August 2018.
All research outputs
#17,690,023
of 25,932,719 outputs
Outputs from Frontiers in immunology
#20,843
of 32,608 outputs
Outputs of similar age
#221,515
of 342,521 outputs
Outputs of similar age from Frontiers in immunology
#453
of 626 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 29th percentile – i.e., 29% 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 342,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 626 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.