Evidence map›Paper›PMID 25860507›Full record

ArticleeLife2015

Expression levels of MHC class I molecules are inversely correlated with promiscuity of peptide binding.

Paul Chappell, El Kahina Meziane, Michael Harrison, Łukasz Magiera, Clemens Hermann, Laura Mears, Antony G Wrobel, Charlotte Durant, Lise Lotte Nielsen, Søren Buus and 10 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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

83 citing papers in PubMed, 143 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

23 more citing papers are in PubMed but not listed here.

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

20 authors at 6 institutions in 2 countries.

Paul ChappellSir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.
El Kahina MezianeDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Michael HarrisonDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Łukasz MagieraDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Clemens HermannDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Laura MearsDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Antony G WrobelDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Charlotte DurantDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Lise Lotte NielsenFaculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Søren BuusFaculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Nicola TernetteTarget Discovery Institute, University of Oxford, Oxford, United Kingdom.
William MwangiPirbright Institute, Compton, United Kingdom.
Colin ButterPirbright Institute, Compton, United Kingdom.
Venugopal NairPirbright Institute, Compton, United Kingdom.
Trudy AhyeeAnthony Nolan Research Institute, The Royal Free Hospital, London, United Kingdom.
Richard DugglebyAnthony Nolan Research Institute, The Royal Free Hospital, London, United Kingdom.
Alejandro MadrigalAnthony Nolan Research Institute, The Royal Free Hospital, London, United Kingdom.
Pietro RoversiSir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.
Susan M LeaSir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.
Jim KaufmanDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBThe Pirbright Institute · GBUniversity of Oxford · GBAnthony Nolan · GBUniversity of Copenhagen · DKThe Royal Free Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00001423Wellcome TrustWellcome Trust 089305
6 · The paper itself

Abstract

Highly polymorphic major histocompatibility complex (MHC) molecules are at the heart of adaptive immune responses, playing crucial roles in many kinds of disease and in vaccination. We report that breadth of peptide presentation and level of cell surface expression of class I molecules are inversely correlated in both chickens and humans. This relationship correlates with protective responses against infectious pathogens including Marek's disease virus leading to lethal tumours in chickens and human immunodeficiency virus infection progressing to AIDS in humans. We propose that differences in peptide binding repertoire define two groups of MHC class I molecules strategically evolved as generalists and specialists for different modes of pathogen resistance. We suggest that differences in cell surface expression level ensure the development of optimal peripheral T cell responses. The inverse relationship of peptide repertoire and expression is evidently a fundamental property of MHC molecules, with ramifications extending beyond immunology and medicine to evolutionary biology and conservation.

Indexed as

Adaptive ImmunityAcquired Immunodeficiency SyndromeAllelesAmino Acid SequenceAnimalsAntigen PresentationBinding SitesCell LineChickensCrystallography, X-RayGene Expression RegulationHaplotypesHerpesvirus 2, GallidHistocompatibility Antigens Class IHIV-1Marek DiseaseHistocompatibility Antigens Class IPeptidesRecombinant ProteinsavianchickenHIVhumanimmunologyMarek's diseaseMHCpeptide repertoire

Identifiers

PMID25860507
PMCPMC4420994
OpenAlexW2162008966

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.