Development of a robust and semi-automated two-step antibody purification process.

Advances in antibody discovery technologies, especially with the availability of humanized mice and phage/yeast library approaches, enable the generation of a large diversity of antibodies against nearly any target of interest. As a result, there is an increasing demand for the production of larger numbers of purified antibodies at quantities (10s-100s of milligrams) sufficient for functional screening assays, drug-ability/develop-ability studies and immunogenicity assessments. To accommodate this need, new methods are required that bridge miniature high throughput/plate-based purification and conventional, one at a time, two-step purification at much larger scales. Thus, we developed a semi-automated, mid-scale (i.e., 1-75 mg) purification process that uses a combination of parallel affinity capture and automated sequential polishing to provide substantially improved throughput while delivering high purity. We optimized the affinity capture step to perform 24 monoclonal antibody purifications in parallel using a Protein Maker for 20-200 mL culture media. The eluant is transferred directly to an AKTA pure system equipped with an autosampler for sequential preparative size exclusion chromatography to remove aggregates and undesirable impurities, as well as exchange the antibody into a buffer suitable for most uses, including cell-based assays. This two-step purification procedure, together with plate-based protein analytical methods, can purify 24-48 monoclonal antibodies in <20 hours and generate up to 80 mg per sample. A stringent clean-in-place protocol for both systems and column maintenance was designed and established to minimize endotoxin contamination. This process has proven to be very reliable and robust, enabling the production of thousands of antibodies of sufficient quality and quantity that are suitable for cell-based assays, biochemical/biophysical characterization, and in vivo animal models.

A Tail Fiber Engineering Platform for Improved Bacterial Transduction-Based Diagnostic Reagents.

Bacterial transduction particles were critical to early advances in molecular biology and are currently experiencing a resurgence in interest within the diagnostic and therapeutic fields. The difficulty of developing a robust and specific transduction reagent capable of delivering a genetic payload to the diversity of strains constituting a given bacterial species or genus is a major impediment to their expanded utility as commercial products. While recent advances in engineering the reactivity of these reagents have made them more attractive for product development, considerable improvements are still needed. Here, we demonstrate a synthetic biology platform derived from bacteriophage P1 as a chassis to target transduction reagents against four clinically prevalent species within the Enterobacterales order. Bacteriophage P1 requires only a single receptor binding protein to enable attachment and injection into a target bacterium. By engineering and screening particles displaying a diverse array of chimeric receptor binding proteins, we generated a potential transduction reagent for a future rapid phenotypic carbapenem-resistant Enterobacterales diagnostic assay.

Generation of orthogonal Fab-based trispecific antibody formats.

The clinical success of monoclonal antibodies to treat diseases across nearly every therapeutic area has spurred advances in bispecific antibody technology with the goal of cost-effectively combining various therapies or providing novel mechanisms for disease intervention. Many novel bispecific antibodies are now in clinical development or the late pre-clinical setting. A new horizon exists for novel molecular entities with the ability to bind three or more antigens. Here we describe the production and characterization of novel trispecific antibody-like proteins denoted 'OrthoTsAbs' that self-assemble through the application of engineered antibody domain interfaces.

Computationally Designed Bispecific Antibodies using Negative State Repertoires.

A challenge in the structure-based design of specificity is modeling the negative states, i.e., the complexes that you do not want to form. This is a difficult problem because mutations predicted to destabilize the negative state might be accommodated by small conformational rearrangements. To overcome this challenge, we employ an iterative strategy that cycles between sequence design and protein docking in order to build up an ensemble of alternative negative state conformations for use in specificity prediction. We have applied our technique to the design of heterodimeric CH3 interfaces in the Fc region of antibodies. Combining computationally and rationally designed mutations produced unique designs with heterodimer purities greater than 90%. Asymmetric Fc crystallization was able to resolve the interface mutations; the heterodimer structures confirmed that the interfaces formed as designed. With these CH3 mutations, and those made at the heavy-/light-chain interface, we demonstrate one-step synthesis of four fully IgG-bispecific antibodies.