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Peptides That Bind Specifically to an Antibody from a Chronic Lymphocytic Leukemia Clone Expressing Unmutated Immunoglobulin Variable Region Genes

Overview of attention for article published in Molecular Medicine, August 2013
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Title
Peptides That Bind Specifically to an Antibody from a Chronic Lymphocytic Leukemia Clone Expressing Unmutated Immunoglobulin Variable Region Genes
Published in
Molecular Medicine, August 2013
DOI 10.2119/molmed.2013.00082
Pubmed ID
Authors

Yun Liu, Chelsea D Higgins, Cathie M Overstreet, Kanti R Rai, Nicholas Chiorazzi, Jonathan R Lai

Abstract

Chronic lymphocytic leukemia (CLL) is a clonal disease of a subset of human B lymphocytes. Although the cause of the disease is unknown, its development and evolution appear to be promoted by signals delivered when B-cell receptors (BCRs) engage (auto)antigens. Here, using a peptide phage display library of enhanced size and diverse composition, we examined the binding specificity of a recombinant monoclonal antibody (mAb) constructed with the heavy chain and light chain variable domains of a CLL BCR that does not exhibit somatic mutations. As determined by testing the peptides identified in the selected peptide phage pool, this CLL-associated unmutated mAb bound a diverse set of sequences, some of which clustered in families based on amino acid sequence. Synthesis of these peptides and characterization of binding with the CLL-associated mAb revealed that mAb-peptide interactions were generally specific. Moreover, the mAb-peptide interactions were of lower affinities (micromolar KD), as measured by surface plasmon resonance, than those observed with a CLL mAb containing somatic mutations (nanomolar KD) and with immunoglobulin heavy chain variable (IGHV)-mutated antibodies selected by environmental antigens. This information may be of value in identifying and targeting B lymphocytes expressing specific BCRs in CLL patients and healthy subjects with monoclonal B lymphocytosis.

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 3 17%
Other 2 11%
Professor 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Immunology and Microbiology 2 11%
Chemistry 2 11%
Medicine and Dentistry 2 11%
Other 1 6%
Unknown 5 28%