Evidence map›Paper›PMID 23733883›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2013

Naturally occurring ERAP1 haplotypes encode functionally distinct alleles with fine substrate specificity.

Emma Reeves, Christopher J Edwards, Tim Elliott, Edward James

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

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24 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

4 authors at 1 institution in 1 country.

Emma ReevesCancer Sciences Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Christopher J Edwards
Tim Elliott
Edward James
University of Southampton · GB

Funding

Cancer Research UK A11946Cancer Research UK A8410Cancer Research UK C25722Cancer Research UK C7056Medical Research Council
6 · The paper itself

Abstract

Endoplasmic reticulum aminopeptidase 1 (ERAP1) trims peptides for MHC class I presentation, influencing the degree and specificity of CD8(+) T cell responses. Single-nucleotide polymorphisms within the exons encoding ERAP1 are associated with autoimmune diseases and cervical carcinoma, but it is not known whether they act independently or as disease-associated haplotypes. We sequenced ERAP1 from 20 individuals and show that single-nucleotide polymorphisms occur as distinct haplotypes in the human population and that these haplotypes encode functionally distinct ERAP1 alleles. Using a wide range of substrates, we are able to demonstrate that for any given substrate distinct ERAP1 alleles can be "normal," "hypofunctional," or "hyperfunctional" and that each allele has a trend bias toward one of these three activities. Thus, the repertoire of peptides presented at the cell surface for recognition by CTL is likely to depend on the precise combination of both MHC class I and ERAP1 alleles expressed within an individual, and has important implications for predisposition to disease.

Indexed as

AllelesAminopeptidasesAutoimmune DiseasesCell LineFemaleHaplotypesHumansMinor Histocompatibility AntigensPeptidesPolymorphism, Single NucleotideSubstrate SpecificityUterine Cervical NeoplasmsAminopeptidasesERAP1 protein, humanMinor Histocompatibility AntigensPeptides

Identifiers

PMID23733883
PMCPMC3785127
OpenAlexW2103832788

What OpenQuestion holds

Textmetadata
LicenceTDM
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.