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Characterization of a unique conformational epitope on free immunoglobulin kappa light chains that is recognized by an antibody with therapeutic potential

Overview of attention for article published in Molecular Immunology, April 2011
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Title
Characterization of a unique conformational epitope on free immunoglobulin kappa light chains that is recognized by an antibody with therapeutic potential
Published in
Molecular Immunology, April 2011
DOI 10.1016/j.molimm.2011.03.003
Pubmed ID
Authors

Andrew T. Hutchinson, Ralitza Alexova, Vanessa Bockhorni, Paul A. Ramsland, Darren R. Jones, Cameron V. Jennings, Kevin Broady, Allen B. Edmundson, Robert L. Raison

Abstract

The murine mAb, K-1-21, recognizes a conformational epitope expressed on free Ig kappa light chains (FκLCs) and also on cell membrane-associated FκLCs found on kappa myeloma cells. This has led to the development of a chimeric version of K-1-21, MDX-1097, which is being assessed in a Phase II clinical trial for the treatment of multiple myeloma. The epitope recognized by K-1-21 is of particular interest, especially in the context that it is not expressed on heavy chain-associated light chains such as in an intact Ig molecule. Using epitope excision techniques we have localized the K-1-21 epitope to a region spanning residues 104-110 of FκLC. This short strand of residues links the variable and constant domains, and is a flexible region that adopts different conformations in FκLC and heavy chain-associated light chain. We tested this region using site-directed mutations and found that the reactivity of K-1-21 for FκLC was markedly reduced. Finally, we applied in silico molecular docking to generate a model that satisfied the experimental data. Given the clinical potential of the Ag, this study may aid the development of next generation compounds that target the membrane form of FκLC expressed on the surface of myeloma plasma cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Other 8 29%
Student > Bachelor 4 14%
Researcher 3 11%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Other 6 21%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Medicine and Dentistry 5 18%
Biochemistry, Genetics and Molecular Biology 3 11%
Immunology and Microbiology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 11%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2022.
All research outputs
#8,611,217
of 25,564,614 outputs
Outputs from Molecular Immunology
#1,253
of 3,891 outputs
Outputs of similar age
#44,971
of 120,929 outputs
Outputs of similar age from Molecular Immunology
#9
of 13 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,891 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.