Evidence map›Paper›PMID 39821345›Full record

ArticleImmunogenetics2025

In silico functional analysis of the human, chimpanzee, and gorilla MHC-A repertoires.

Griffin Kutler Dodd, Can Keşmir

Abstract read
In one paragraph

Article in Immunogenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Griffin Kutler DoddTheoretical Biology and Bioinformatics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-3396-8651
Can KeşmirTheoretical Biology and Bioinformatics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands. c.kesmir@uu.nl.ORCID http://orcid.org/0000-0002-8756-1171

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 10710062310009
6 · The paper itself

Abstract

T cells recognize peptides displayed on the surface of cells on MHC molecules. Genetic variation in MHC genes alters their peptide-binding repertoire and thus influences the potential immune response generated against pathogens. Both gorillas and chimpanzees show reduced diversity at their MHC class I A (MHC-A) locus compared to humans, which has been suggested to be the result of a pathogen-mediated selective sweep. More specifically, gorillas lack A3 lineage alleles while chimpanzees seem to have lost the A2 lineage. While previous studies showed this using phylogenetic analysis, here, we take an in silico functional approach and use the peptide-MHC binding prediction software NetMHCpan to examine the peptide-binding repertoires of common human, chimpanzee, and gorilla MHC-A molecules. We find that both gorillas and chimpanzees lack the A02 peptide binding specificity (supertype) despite gorillas being expected to have this specificity since they kept the A2 lineage. Additionally, we show that human MHC molecules with the A02 specificity bind fewer virus-derived peptides than other MHC molecules. We also do not find differential presentation of self-peptides by the A02 supertype, making the purpose of maintaining this specificity in high frequencies in the human population unclear. Taken together, we hypothesize that poor presentation of viral peptides by A02 supertype MHC molecules could have resulted in a selective sweep in chimpanzees and/or gorillas, though we could not identify a specific virus that may have caused this sweep.

Indexed as

Gorilla gorillaHistocompatibility Antigens Class IPan troglodytesAnimalsComputer SimulationHumansPeptidesPhylogenyProtein BindingHistocompatibility Antigens Class IPeptidesBioinformaticsEvolutionMHC polymorphismPrimatesSelective sweep

Identifiers

PMID39821345
PMCPMC11741996

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.