Generation and characterization of monospecific and bispecific hexavalent trimerbodies
0301 basic medicine
577.2
24 Ciencias de la Vida
CD3 Complex
Recombinant Fusion Proteins
T-Lymphocytes
Bioquímica (Farmacia)
Antibody Affinity
Antibody engineering
Lymphocyte Activation
Transfection
Jurkat Cells
03 medical and health sciences
Antibody Specificity
Report
Antibodies, Bispecific
Animals
Humans
577.1
Trimerbody
Multivalent antibodies
Collagen Type XVIII
HEK293 Cells
Collagen
Laminin
Protein Multimerization
Bispecific antibodies
Biología molecular (Farmacia)
Single-Chain Antibodies
DOI:
10.4161/mabs.22698
Publication Date:
2013-01-16T21:35:56Z
AUTHORS (12)
ABSTRACT
Here, we describe a new class of multivalent and multispecific antibody-based reagents for therapy. The molecules, termed "trimerbodies," use a modified version of the N-terminal trimerization region of human collagen XVIII noncollagenous 1 domain flanked by two flexible linkers as trimerizing scaffold. By fusing single-chain variable fragments (scFv) with the same or different specificity to both N- and C-terminus of the trimerizing scaffold domain, we produced monospecific or bispecific hexavalent molecules that were efficiently secreted as soluble proteins by transfected mammalian cells. A bispecific anti-laminin x anti-CD3 N-/C-trimerbody was found to be trimeric in solution, very efficient at recognizing purified plastic-immobilized laminin and CD3 expressed at the surface of T cells, and remarkably stable in human serum. The bispecificity was further demonstrated in T cell activation studies. In the presence of laminin-rich substrate, the bispecific anti-laminin x anti-CD3 N-/C-trimerbody stimulated a high percentage of human T cells to express surface activation markers. These results suggest that the trimerbody platform offers promising opportunities for the development of the next-generation therapeutic antibodies, i.e., multivalent and bispecific molecules with a format optimized for the desired pharmacokinetics and adapted to the pathological context.
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CITATIONS (28)
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