Combined glyco- and protein-Fc engineering simultaneously enhance cytotoxicity and half-life of a therapeutic antibody.

While glyco-engineered monoclonal antibodies (mAbs) with improved antibody-dependent cell-mediated cytotoxicity (ADCC) are reaching the market, extensive efforts have also been made to improve their pharmacokinetic properties to generate biologically superior molecules. Most therapeutic mAbs are human or humanized IgG molecules whose half-life is dependent on the neonatal Fc receptor FcRn. FcRn reduces IgG catabolism by binding to the Fc domain of endocytosed IgG in acidic lysosomal compartments, allowing them to be recycled into the blood. Fc-engineered mAbs with increased FcRn affinity resulted in longer in vivo half-life in animal models, but also in healthy humans. These Fc-engineered mAbs were obtained by alanine scanning, directed mutagenesis or in silico approach of the FcRn binding site. In our approach, we applied a random mutagenesis technology (MutaGen™) to generate mutations evenly distributed over the whole Fc sequence of human IgG1. IgG variants with improved FcRn-binding were then isolated from these Fc-libraries using a pH-dependent phage display selection process. Two successive rounds of mutagenesis and selection were performed to identify several mutations that dramatically improve FcRn binding. Notably, many of these mutations were unpredictable by rational design as they were located distantly from the FcRn binding site, validating our random molecular approach. When produced on the EMABling(®) platform allowing effector function increase, our IgG variants retained both higher ADCC and higher FcRn binding. Moreover, these IgG variants exhibited longer half-life in human FcRn transgenic mice. These results clearly demonstrate that glyco-engineering to improve cytotoxicity and protein-engineering to increase half-life can be combined to further optimize therapeutic mAbs.

Mutagen: a random mutagenesis method providing a complementary diversity generated by human error-prone DNA polymerases.

Random mutagenesis is one of the most effective methodologies to generate variant libraries for directed protein evolution. Indeed, this approach requires no structural or mechanistic information and can uncover unexpected beneficial mutations. Here, we describe a new random mutagenesis method based on the use of human error-prone DNA polymerases (pol beta, pol eta and pol iota). This approach allows the random introduction of mutations through a single replication step followed by a selective PCR amplification of the replicated mutated sequences. The libraries generated using this methodology display different mutation rates and complementary mutational spectra. By taking advantage of the mutation bias of naturally highly error-prone DNA polymerases, MutaGen thus appears as a very useful tool for gene and protein randomization.

Method for generation of human hyperdiversified antibody fragment library.

The selection of antibody fragments from libraries using in vitro screening technologies has proven to be a very good alternative to the classical hybridoma technology, and has overcome the laborious process of antibody humanization. However, the complexity of the library is critical in the probability of being able to directly isolate a high affinity antibody specific to a target. We report a method to make hyperdiversified antibody fragment libraries, based on human immunoglobulin variable genes mimicking the somatic hypermutation process. This mutagenesis technology, MutaGen, was used for the first time on the entire variable domain (frameworks and CDRs) of large repertoires of human variable antibody domains. Our MutaGen process uses low-fidelity human polymerases, known as mutases, suggested to be involved in the somatic hypermutation process of immunoglobulin genes. Depending on the mutases used, we generated complementary mutation patterns with randomly distributed mutations. The libraries were generated with an average of 1.8 mutations per 100 amino acids. The hyperdiversified antibody fragment libraries constructed with our process should enable the selection of antibody fragments specific to virtually any target.