Evidence map›Paper›PMID 24550402›Full record

ArticleThe Journal of biological chemistry2014

Polymorphisms in the human inhibitory signal-regulatory protein α do not affect binding to its ligand CD47.

Deborah Hatherley, Susan M Lea, Steven Johnson, A Neil Barclay

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

31 citing papers in PubMed, 51 citations in OpenAlex.

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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.

Deborah HatherleyFrom the Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.
Susan M Lea
Steven Johnson
A Neil Barclay
University of Oxford · GB

Funding

Medical Research Council G0900888Medical Research Council G9826026Wellcome TrustWellcome Trust 100298
6 · The paper itself

Abstract

CD47 is a widely distributed membrane protein that interacts with signal-regulatory protein α (SIRPα), an inhibitory receptor on myeloid cells that gives a "don't-eat-me" signal. Manipulation of the interaction is of considerable interest in the immunotherapy of cancer and in xenotransplantation. The amino-terminal ligand binding domain of SIRPα is highly polymorphic in contrast to the single Ig-like domain of CD47. There is confusion as to whether the polymorphisms will affect ligand binding, but this is an important point for this interaction and other paired receptors being considered as targets for therapy. We show by x-ray crystallography that one human SIRPα allele differing in 13 amino acid residues has a very similar binding site and that several different alleles all bind CD47 with similar affinity as expected because the residues are mostly surface-exposed and distant from the binding site. A peptide from the binding site of CD47 has been reported to mimic the CD47 interaction with SIRPα, but we could find no binding. We discuss the possible pitfalls in determining the affinity of weak interactions and also speculate on how SIRPα polymorphisms may have been selected by pathogens and how this may also be true in other paired receptors such as the KIRs.

Indexed as

AllelesPolymorphism, GeneticAnimalsAntigens, DifferentiationBinding SitesCD47 AntigenCHO CellsCricetinaeCricetulusHumansLigandsPeptidesProtein BindingReceptors, ImmunologicAntigens, DifferentiationCD47 AntigenCD47 protein, humanLigandsPeptidesReceptors, ImmunologicSIRPA protein, humanCancer TherapyCD47Cell Surface ReceptorImmunologyInhibitory ReceptorLeukocyteMembrane ProteinsPeptide InteractionsProtein StructureSIRPα

Identifiers

PMID24550402
PMCPMC3974974
OpenAlexW2141253335

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.