Rapid construction and characterization of synthetic antibody libraries without DNA amplification

Substrate derived sequences act as subsite-blocking motifs in protease inhibitory antibodies

Proteases are involved in many physiologic processes, and dysregulated proteolysis is basis of a variety of diseases. Specific inhibition of pathogenetic proteases via monoclonal antibodies therefore holds significant therapeutic promise. Inspired by the competitive mechanism utilized by many naturally occurring and man-made protease inhibitors, we hypothesized that substrate-like peptide sequences can act as protease subsite blocking motifs if they occupy only one side of the reaction center. To test this hypothesis, a degenerate codon library representing MMP-14 substrate profiles at P1-P5' positions was constructed in the context of an anti-MMP-14 Fab by replacing its inhibitory motif in CDR-H3 with MMP-14 substrate repertoires. After selection for MMP-14 active-site binders by phage panning, results indicated that diverse substrate-like sequences conferring antibodies inhibitory potencies were enriched in the isolated clones. Optimal residues at each of P1-P5' positions were then identified, and the corresponding mutation combinations showed improved characteristics as effective inhibitors of MMP-14. Insights on efficient library designs for inhibitory peptide motifs were further discussed. Overall, this study proved the concept that substrate-derived sequences were able to behave as the inhibitory motifs in protease-specific antibodies. With accumulating data available on protease substrate profiles, we expect the approach described here can be broadly applied to facilitate the generation of antibody inhibitors targeting biomedically important proteases.

Drug-like antibodies with high affinity, diversity and developability directly from next-generation antibody libraries

Therapeutic antibodies must have "drug-like" properties. These include high affinity and specificity for the intended target, biological activity, and additional characteristics now known as "developability properties": long-term stability and resistance to aggregation when in solution, thermodynamic stability to prevent unfolding, high expression yields to facilitate manufacturing, low self-interaction, among others. Sequence-based liabilities may affect one or more of these characteristics. Improving the stability and developability of a lead antibody is typically achieved by modifying its sequence, a time-consuming process that often results in reduced affinity. Here we present a new antibody library format that yields high-affinity binders with drug-like developability properties directly from initial selections, reducing the need for further engineering or affinity maturation. The innovative semi-synthetic design involves grafting natural complementarity-determining regions (CDRs) from human antibodies into scaffolds based on well-behaved clinical antibodies. HCDR3s were amplified directly from B cells, while the remaining CDRs, from which all sequence liabilities had been purged, were replicated from a large next-generation sequencing dataset. By combining two in vitro display techniques, phage and yeast display, we were able to routinely recover a large number of unique, highly developable antibodies against clinically relevant targets with affinities in the subnanomolar to low nanomolar range. We anticipate that the designs and approaches presented here will accelerate the drug development process by reducing the failure rate of leads due to poor antibody affinities and developability.Abbreviations: AC-SINS: affinity-capture self-interaction nanoparticle spectroscopy; CDR: complementarity-determining region; CQA: critical quality attribute; ELISA: enzyme-linked immunoassay; FACS: fluorescence-activated cell sorting; Fv: fragment variable; GM-CSF: granulocyte-macrophage colony-stimulating factor; HCDR3: heavy chain CDR3; IFN2a: interferon α-2; IL6: interleukin-6; MACS: magnetic-activated cell sorting; NGS: next generation sequencing; PCR: polymerase chain reaction; SEC: size-exclusion chromatography; SPR: surface plasmon resonance; TGFβ-R2: transforming growth factor β-R2; VH: variable heavy; VK: variable kappa; VL: variable light; Vl: variable lambda.

In Vitro Construction of Large-scale DNA Libraries from Fragments Containing Random Regions using Deoxyinosine-containing Oligonucleotides and Endonuclease V

Efficient and precise construction of DNA libraries is a fundamental starting point for directed evolution of polypeptides. Recently, several in vitro selection methods have been reported that do not rely on cells for protein expression, where peptide libraries in the order of 10¹³ species are used for in vitro affinity selection. To maximize their potential, simple yet versatile construction of DNA libraries from several fragments containing random regions without bacterial transformation is essential. To address this issue, we herein propose a novel DNA construction methodology based on the use of polymerase chain reaction (PCR) primers containing a single deoxyinosine (I) residue near their 5' end. Treatment of the PCR products with endonuclease V generates 3' overhangs with customized lengths and sequences, which can be ligated accurately and efficiently with other fragments having exactly complementary overhangs. As a proof of concept, we constructed an artificial gene library of single-domain antibodies from four DNA fragments.

Cognizance of Molecular Methods for the Generation of Mutagenic Phage Display Antibody Libraries for Affinity Maturation

Antibodies leverage on their unique architecture to bind with an array of antigens. The strength of interaction has a direct relation to the affinity of the antibodies towards the antigen. In vivo affinity maturation is performed through multiple rounds of somatic hypermutation and selection in the germinal centre. This unique process involves intricate sequence rearrangements at the gene level via molecular mechanisms. The emergence of in vitro display technologies, mainly phage display and recombinant DNA technology, has helped revolutionize the way antibody improvements are being carried out in the laboratory. The adaptation of molecular approaches in vitro to replicate the in vivo processes has allowed for improvements in the way recombinant antibodies are designed and tuned. Combinatorial libraries, consisting of a myriad of possible antibodies, are capable of replicating the diversity of the natural human antibody repertoire. The isolation of target-specific antibodies with specific affinity characteristics can also be accomplished through modification of stringent protocols. Despite the ability to screen and select for high-affinity binders, some 'fine tuning' may be required to enhance antibody binding in terms of its affinity. This review will provide a brief account of phage display technology used for antibody generation followed by a summary of different combinatorial library characteristics. The review will focus on available strategies, which include molecular approaches, next generation sequencing, and in silico approaches used for antibody affinity maturation in both therapeutic and diagnostic applications.

Decoding Selection Bias Imparted by Unpaired Cysteines: a Tug of War Between Expression and Affinity

In a recombinant antibody scFv format, the presence of an unpaired cysteine (Cys) is implicated in reduced soluble expression and inefficient presentation in phage display. Compared to other species, antibodies derived from rabbits are more likely to contain this unpaired Cys residue at position 80 (Cys80), when generated in a scFv format. In a screening campaign to isolate rabbit scFv against cardiac troponin I (cTnI), it was found that, a large proportion of isolated cTnI-specific clones contained unpaired Cys80. To analyze the factors that led to the selection of anti-cTnI Cys80 scFv, after five rounds of biopanning, the biopanning experiments were repeated with a Cys80 scFv (MG4_Cys), its alanine variant (MG4_Ala), and an irrelevant high expressing scFv control. It was found that the selection and subsequent enrichment of MG4_Cys scFv was ousted by the superior expressing variant MG4_Ala, indicating that the Cys80 scFv was selected primarily due to its affinity. It is evident that phage-based selection is influenced by specific sequence characteristics affecting the expression as well as the binding specificity and this needs to be taken into account for selection of optimal antibody derivatives.

Integrating high-throughput screening and sequencing for monoclonal antibody discovery and engineering

Monoclonal antibody discovery and engineering is a field that has traditionally been dominated by high-throughput screening platforms (e.g. hybridomas and surface display). In recent years the emergence of high-throughput sequencing has made it possible to obtain large-scale information on antibody repertoire diversity. Additionally, it has now become more routine to perform high-throughput sequencing on antibody repertoires to also directly discover antibodies. In this review, we provide an overview of the progress in this field to date and show how high-throughput screening and sequencing are converging to deliver powerful new workflows for monoclonal antibody discovery and engineering.

Generation of inhibitory monoclonal antibodies targeting matrix metalloproteinase-14 by motif grafting and CDR optimization

Matrix metalloproteinase-14 (MMP-14) plays important roles in cancer metastasis, and the failures of broad-spectrum MMP compound inhibitors in clinical trials suggested selectivity is critical. By grafting an MMP-14 specific inhibition motif into complementarity determining region (CDR)-H3 of antibody scaffolds and optimizing other CDRs and the sequences that flank CDR-H3, we isolated a Fab 1F8 showing a binding affinity of 8.3 nM with >1000-fold enhancement on inhibition potency compared to the peptide inhibitor. Yeast surface display and fluorescence-activated cell sorting results indicated that 1F8 was highly selective to MMP-14 and competed with TIMP-2 on binding to the catalytic domain of MMP-14. Converting a low-affinity peptide inhibitor into a high potency antibody, the described methods can be used to develop other inhibitory antibodies of therapeutic significance.

Active-site MMP-selective antibody inhibitors discovered from convex paratope synthetic libraries

Proteases are frequent pharmacological targets, and their inhibitors are valuable drugs in multiple pathologies. The catalytic mechanism and the active-site fold, however, are largely conserved among the protease classes, making the development of the selective inhibitors exceedingly challenging. In our departure from the conventional strategies, we reviewed the structure of known camelid inhibitory antibodies, which block enzyme activities via their unusually long, convex-shaped paratopes. We synthesized the human Fab antibody library (over 1.25 × 10⁹ individual variants) that carried the extended, 23- to 27-residue, complementarity-determining region (CDR)-H3 segments. As a proof of principle, we used the catalytic domain of matrix metalloproteinase-14 (MMP-14), a promalignant protease and a drug target in cancer, as bait. In our screens, we identified 20 binders, of which 14 performed as potent and selective inhibitors of MMP-14 rather than as broad-specificity antagonists. Specifically, Fab 3A2 bound to MMP-14 in the vicinity of the active pocket with a high 4.8 nM affinity and was similarly efficient (9.7 nM) in inhibiting the protease cleavage activity. We suggest that the convex paratope antibody libraries described here could be readily generalized to facilitate the design of the antibody inhibitors to many additional enzymes.

Effective Optimization of Antibody Affinity by Phage Display Integrated with High-Throughput DNA Synthesis and Sequencing Technologies

Phage display technology has been widely used for antibody affinity maturation for decades. The limited library sequence diversity together with excessive redundancy and labour-consuming procedure for candidate identification are two major obstacles to widespread adoption of this technology. We hereby describe a novel library generation and screening approach to address the problems. The approach started with the targeted diversification of multiple complementarity determining regions (CDRs) of a humanized anti-ErbB2 antibody, HuA21, with a small perturbation mutagenesis strategy. A combination of three degenerate codons, NWG, NWC, and NSG, were chosen for amino acid saturation mutagenesis without introducing cysteine and stop residues. In total, 7,749 degenerate oligonucleotides were synthesized on two microchips and released to construct five single-chain antibody fragment (scFv) gene libraries with 4 x 10⁶ DNA sequences. Deep sequencing of the unselected and selected phage libraries using the Illumina platform allowed for an in-depth evaluation of the enrichment landscapes in CDR sequences and amino acid substitutions. Potent candidates were identified according to their high frequencies using NGS analysis, by-passing the need for the primary screening of target-binding clones. Furthermore, a subsequent library by recombination of the 10 most abundant variants from four CDRs was constructed and screened, and a mutant with 158-fold increased affinity (K_d = 25.5 pM) was obtained. These results suggest the potential application of the developed methodology for optimizing the binding properties of other antibodies and biomolecules.

Rapid isolation of antibody from a synthetic human antibody library by repeated fluorescence-activated cell sorting (FACS)

Antibodies and their derivatives are the most important agents in therapeutics and diagnostics. Even after the significant progress in the technology for antibody screening from huge libraries, it takes a long time to isolate an antibody, which prevents a prompt action against the spread of a disease. Here, we report a new strategy for isolating desired antibodies from a combinatorial library in one day by repeated fluorescence-activated cell sorting (FACS). First, we constructed a library of synthetic human antibody in which single-chain variable fragment (scFv) was expressed in the periplasm of Escherichia coli. After labeling the cells with fluorescent antigen probes, the highly fluorescent cells were sorted by using a high-speed cell sorter, and these cells were reused without regeneration in the next round of sorting. After repeating this sorting, the positive clones were completely enriched in several hours. Thus, we screened the library against three viral antigens, including the H1N1 influenza virus, Hepatitis B virus, and Foot-and-mouth disease virus. Finally, the potential antibody candidates, which show K_D values between 10 and 100 nM against the target antigens, could be successfully isolated even though the library was relatively small (∼10⁶). These results show that repeated FACS screening without regeneration of the sorted cells can be a powerful method when a rapid response to a spreading disease is required.

The promise and challenge of high-throughput sequencing of the antibody repertoire

Georgiou and colleagues discuss rapidly evolving methods for high-throughput sequencing of the antibody repertoire, and how the resulting data may be applied to answer basic and translational research questions.

Efforts to determine the antibody repertoire encoded by B cells in the blood or lymphoid organs using high-throughput DNA sequencing technologies have been advancing at an extremely rapid pace and are transforming our understanding of humoral immune responses. Information gained from high-throughput DNA sequencing of immunoglobulin genes (Ig-seq) can be applied to detect B-cell malignancies with high sensitivity, to discover antibodies specific for antigens of interest, to guide vaccine development and to understand autoimmunity. Rapid progress in the development of experimental protocols and informatics analysis tools is helping to reduce sequencing artifacts, to achieve more precise quantification of clonal diversity and to extract the most pertinent biological information. That said, broader application of Ig-seq, especially in clinical settings, will require the development of a standardized experimental design framework that will enable the sharing and meta-analysis of sequencing data generated by different laboratories.

Next generation sequencing: new tools in immunology and hematology

One of the hallmarks of the adaptive immune system is the specificity of B and T cell receptors. Thanks to somatic recombination, a large repertoire of receptors can be generated within an individual that guarantee the recognition of a vast number of antigens. Monoclonal antibodies have limited applicability, given the high degree of diversity among these receptors, in BCR and TCR monitoring. Furthermore, with regard to cancer, better characterization of complex genomes and the ability to monitor tumor-specific cryptic mutations or translocations are needed to develop better tailored therapies. Novel technologies, by enhancing the ability of BCR and TCR monitoring, can help in the search for minimal residual disease during hematological malignancy diagnosis and follow-up, and can aid in improving bone marrow transplantation techniques. Recently, a novel technology known as next generation sequencing has been developed; this allows the recognition of unique sequences and provides depth of coverage, heterogeneity, and accuracy of sequencing. This provides a powerful tool that, along with microarray analysis for gene expression, may become integral in resolving the remaining key problems in hematology. This review describes the state of the art of this novel technology, its application in the immunological and hematological fields, and the possible benefits it will provide for the hematology and immunology community.

Deep mutational scanning of an antibody against epidermal growth factor receptor using mammalian cell display and massively parallel pyrosequencing

We developed a method for deep mutational scanning of antibody complementarity-determining regions (CDRs) that can determine in parallel the effect of every possible single amino acid CDR substitution on antigen binding. The method uses libraries of full length IgGs containing more than 1000 CDR point mutations displayed on mammalian cells, sorted by flow cytometry into subpopulations based on antigen affinity and analyzed by massively parallel pyrosequencing. Higher, lower and neutral affinity mutations are identified by their enrichment or depletion in the FACS subpopulations. We applied this method to a humanized version of the anti-epidermal growth factor receptor antibody cetuximab, generated a near comprehensive data set for 1060 point mutations that recapitulates previously determined structural and mutational data for these CDRs and identified 67 point mutations that increase affinity. The large-scale, comprehensive sequence-function data sets generated by this method should have broad utility for engineering properties such as antibody affinity and specificity and may advance theoretical understanding of antibody-antigen recognition.

Rep-Seq: uncovering the immunological repertoire through next-generation sequencing

Recent scientific discoveries fuelled by the application of next-generation DNA and RNA sequencing technologies highlight the striking impact of these platforms in characterizing multiple aspects in genomics research. This technology has been used in the study of the B-cell and T-cell receptor repertoire. The novelty of immunosequencing comes from the recent rapid development of techniques and the exponential reduction in cost of sequencing. Here, we describe some of the technologies, which we collectively refer to as Rep-Seq (repertoire sequencing), to portray achievements in the field and to present the essential and inseparable role of next-generation sequencing to the understanding of entities in immune response. The large Rep-Seq data sets that should be available in the near future call for new computational algorithms to segue the transition from 'classic' molecular-based analysis to system-wide analysis. The combination of new algorithms with high-throughput data will form the basis for possible new clinical implications in personalized medicine and deeper understanding of immune behaviour and immune response.

Deep mutational scanning: assessing protein function on a massive scale

Analysis of protein mutants is an effective means to understand their function. Protein display is an approach that allows large numbers of mutants of a protein to be selected based on their activity, but only a handful with maximal activity have been traditionally identified for subsequent functional analysis. However, the recent application of high-throughput sequencing (HTS) to protein display and selection has enabled simultaneous assessment of the function of hundreds of thousands of mutants that span the activity range from high to low. Such deep mutational scanning approaches are rapid and inexpensive with the potential for broad utility. In this review, we discuss the emergence of deep mutational scanning, the challenges associated with its use and some of its exciting applications.

Sequencing antibody repertoires: the next generation

Genomic studies have been revolutionized by the use of next generation sequencing (NGS) that delivers huge amounts of sequence information in a short span of time. The number of applications for NGS is rapidly expanding and significantly transforming many areas of life sciences. The field of antibody research and discovery is no exception. Several recent studies have harnessed the power of NGS for analyzing natural or synthetic immunoglobulin repertoires with unprecedented resolution and exploring alternative paths for antibody discovery. Thus, appreciating, and then exploiting, these advances is essential for staying at the edge of antibody innovation.

High-resolution mapping of protein sequence-function relationships

We present a large-scale approach to investigate the functional consequences of sequence variation in a protein. The approach entails the display of hundreds of thousands of protein variants, moderate selection for activity and high-throughput DNA sequencing to quantify the performance of each variant. Using this strategy, we tracked the performance of >600,000 variants of a human WW domain after three and six rounds of selection by phage display for binding to its peptide ligand. Binding properties of these variants defined a high-resolution map of mutational preference across the WW domain; each position had unique features that could not be captured by a few representative mutations. Our approach could be applied to many in vitro or in vivo protein assays, providing a general means for understanding how protein function relates to sequence.

Monoclonal antibodies isolated without screening by analyzing the variable-gene repertoire of plasma cells

Isolation of antigen-specific monoclonal antibodies (mAbs) and antibody fragments relies on high-throughput screening of immortalized B cells or recombinant antibody libraries. We bypassed the screening step by using high-throughput DNA sequencing and bioinformatic analysis to mine antibody variable region (V)-gene repertoires from bone marrow plasma cells (BMPC) of immunized mice. BMPCs, which cannot be immortalized, produce the vast majority of circulating antibodies. We found that the V-gene repertoire of BMPCs becomes highly polarized after immunization, with the most abundant sequences represented at frequencies between approximately 1% and >10% of the total repertoire. We paired the most abundant variable heavy (V(H)) and variable light (V(L)) genes based on their relative frequencies, reconstructed them using automated gene synthesis, and expressed recombinant antibodies in bacteria or mammalian cells. Antibodies generated in this manner from six mice, each immunized with one of three antigens were overwhelmingly antigen specific (21/27 or 78%). Those generated from a mouse with high serum titers had nanomolar binding affinities.