ArticleThe Journal of experimental medicine1999
A human immunoglobulin (Ig)A calpha3 domain motif directs polymeric Ig receptor-mediated secretion.
Article in The Journal of experimental medicine, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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.
Who cites it
12 citing papers in PubMed, 58 citations in OpenAlex.
- Structural insights into secretory immunoglobulin A and its interaction with a pneumococcal adhesin.Cell research · 2020Article
- Mapping of the binding site for FcμR in human IgM-Fc.Biochimica et biophysica acta. Proteins and proteomics · 2020Article
- IgA: Structure, Function, and Developability.Antibodies (Basel, Switzerland) · 2019Review
- Human Cell Line-Derived Monoclonal IgA Antibodies for Cancer Immunotherapy.Bioengineering (Basel, Switzerland) · 2017Article
- Interaction of human, rat, and mouse immunoglobulin A (IgA) with Staphylococcal superantigen-like 7 (SSL7) decoy protein and leukocyte IgA receptor.The Journal of biological chemistry · 2011Article
- IgA in the horse: cloning of equine polymeric Ig receptor and J chain and characterization of recombinant forms of equine IgA.Mucosal immunology · 2010Article
- Antigen binding to secretory immunoglobulin A results in decreased sensitivity to intestinal proteases and increased binding to cellular Fc receptors.The Journal of biological chemistry · 2010Article
- Structural requirements for the interaction of human IgM and IgA with the human Fcalpha/mu receptor.European journal of immunology · 2009Article
- IgA and IgA-specific receptors in human disease: structural and functional insights into pathogenesis and therapeutic potential.Springer seminars in immunopathology · 2006Article
- Targeting mucosal sites by polymeric immunoglobulin receptor-directed peptides.The Journal of experimental medicine · 2002Article
- Progress in molecular and genetic studies of IgA nephropathy.Journal of clinical immunology · 2001Review
- A surrogate-based approach for post-genomic partner identification.BMC biotechnology · 2001Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Polymeric immunoglobulins provide immunological protection at mucosal surfaces to which they are specifically transported by the polymeric immunoglobulin receptor (pIgR). Using a panel of human IgA1/IgG1 constant region "domain swap" mutants, the binding site for the pIgR on dimeric IgA (dIgA) was localized to the Calpha3 domain. Selection of random peptides for pIgR binding and comparison with the IgA sequence suggested amino acids 402-410 (QEPSQGTTT), in a predicted exposed loop of the Calpha3 domain, as a potential binding site. Alanine substitution of two groups of amino acids in this area abrogated the binding of dIgA to pIgR, whereas adjacent substitutions in a beta-strand immediately NH2-terminal to this loop had no effect. All pIgR binding IgA sequences contain a conserved three amino acid insertion, not present in IgG, at this position. These data localize the pIgR binding site on dimeric human IgA to this loop structure in the Calpha3 domain, which directs mucosal secretion of polymeric antibodies. We propose that it may be possible to use a pIgR binding motif to deliver antigen-specific dIgA and small-molecule drugs to mucosal epithelia for therapy.
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Registered trials
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.