Phage-displayed Synthetic Antibody Research Articles

Computational Analysis of Antibody Paratopes for Antibody Sequences in Antibody Libraries.

To ensure the functionalities of the antibodies in phage-displayed synthetic antibody libraries, we use computational method to evaluate the designs of the antibody libraries. The computational methodologies developed in our lab for designing antibody library provide rich information on the function of the designed antibody sequences-adequate antibody designs for a specific antigen type should have predicted paratopes for the antigen type. This computational assessment of the designed antibody sequences helps eliminate non-functional designs before proceeding to construct the library designs in the wet lab. As such, only reasonable antibody designs are constructed for antibody discoveries.

Tumor-Targeting Ability of Novel Anti-Prostate-Specific Membrane Antigen Antibodies.

Patients with prostate-specific membrane antigen (PSMA)-positive tumors can benefit from PSMA-targeted therapy; thus, we have constructed a phage-displayed synthetic antibody library for the production of novel PSMA antibodies with superior PSMA-targeting ability, favoring clinical management. The binding affinities of anti-PSMA antibodies were verified by an enzyme-linked immunosorbent assay (ELISA). Several in vitro and in vivo experiments, including cellular uptake, internalization, and cytotoxicity studies, micro single photon emission computed tomography (microSPECT)/CT, and biodistribution studies, were performed to select the most promising antibody among six different antibodies. The results showed the target affinities of our antibodies in the ELISA assays (7A, 8C, 8E, and 11A) were comparable to the existing antibodies (J591). The half-maximal effective concentrations of 7A, 8C, 8E, 11A, and J591 were 2.95, 6.64, 5.50, 2.08, and 4.79, respectively. The radiochemical yield of 111In-labeled antibodies ranged from 30% to 50% with high radiochemical purity (>90%). In the cellular uptake studies, the accumulated radioactivity of 111In-J591, 111In-7A, and 111In-11A increased over time. The internalized percentage of 111In-11A was the highest (32.14% ± 2.06%) at 48 h after incubation, whereas that of 111In-J591 peaked at 22.43% ± 4.38% at 24 h and dropped to 13.52% ± 3.03% at 48 h postincubation. Twenty-four hours after injection, radioactivity accumulation appeared in the LNCaP xenografts of the mice injected with 111In-11A, 111In-8E, 111In-7A, and 111In-J591 but not in the xenografts of the 111In-8C-injected group. Marked liver uptake was noticed in all groups except the 111In-11A-injected group. Moreover, the killing effect of 177Lu-11A was superior to that of 177Lu-J591 at low concentrations. In conclusion, we successfully demonstrated that 11A IgG owned the most optimal biological characteristics among several new anti-PSMA antibodies and it can be an excellent PSMA-targeting component for the clinical use.

Antibody CDR amino acids underlying the functionality of antibody repertoires in recognizing diverse protein antigens

Antibodies recognize protein antigens with exquisite specificity in a complex aqueous environment, where interfacial waters are an integral part of the antibody–protein complex interfaces. In this work, we elucidate, with computational analyses, the principles governing the antibodies’ specificity and affinity towards their cognate protein antigens in the presence of explicit interfacial waters. Experimentally, in four model antibody–protein complexes, we compared the contributions of the interaction types in antibody–protein antigen complex interfaces with the antibody variants selected from phage-displayed synthetic antibody libraries. Evidently, the specific interactions involving a subset of aromatic CDR (complementarity determining region) residues largely form the predominant determinant underlying the specificity of the antibody–protein complexes in nature. The interfacial direct/water-mediated hydrogen bonds accompanying the CDR aromatic interactions are optimized locally but contribute little in determining the epitope location. The results provide insights into the phenomenon that natural antibodies with limited sequence and structural variations in an antibody repertoire can recognize seemingly unlimited protein antigens. Our work suggests guidelines in designing functional artificial antibody repertoires with practical applications in developing novel antibody-based therapeutics and diagnostics for treating and preventing human diseases.

Synthetic antibodies block receptor binding and current-inhibiting effects of α-cobratoxin from Naja kaouthia.

Each year, thousands of people fall victim to envenomings caused by cobras. These incidents often result in death due to paralysis caused by α-neurotoxins from the three-finger toxin (3FTx) family, which are abundant in elapid venoms. Due to their small size, 3FTxs are among the snake toxins that are most poorly neutralized by current antivenoms, which are based on polyclonal antibodies of equine or ovine origin. While antivenoms have saved countless lives since their development in the late 18th century, an opportunity now exists to improve snakebite envenoming therapy via the application of new biotechnological methods, particularly by developing monoclonal antibodies against poorly neutralized α-neurotoxins. Here, we describe the use of phage-displayed synthetic antibody libraries and the development and characterization of six synthetic antibodies built on a human IgG framework and developed against α-cobratoxin - the most abundant long-chain α-neurotoxin from Naja kaouthia venom. The synthetic antibodies exhibited sub-nanomolar affinities to α-cobratoxin and neutralized the curare-mimetic effect of the toxin in vitro. These results demonstrate that phage display technology based on synthetic repertoires can be used to rapidly develop human antibodies with drug-grade potencies as inhibitors of venom toxins.

A phage‐displayed single‐chain Fab library optimized for rapid production of single‐chain IgGs

Phage-displayed synthetic antibody (Ab) repertoires have become a major source of affinity reagents for basic and clinical research. Specific Abs identified from such libraries are often screened as fragments antigen binding (Fabs) produced in bacteria, and those with desired biochemical characteristics are reformatted for production as full-length immunoglobulin G (IgG) in mammalian cells. The conversion of Fabs to IgGs is a cumbersome and often rate-limiting step in the development of Abs. Moreover, biochemical properties required for lead IgG development are not always shared by the Fabs, and these issues are not uncovered until a significant effort has been spent on Abs that ultimately will not be useful. Thus, there is a need for simple and rapid techniques to convert phage-displayed Fabs to IgGs at an early stage of the Ab screening process. We report the generation of a highly diverse phage-displayed synthetic single-chain Fab (scFab) library, in which the light and heavy chains were tethered with an optimized linker. Following selection, pools of scFabs were converted to single-chain IgGs (scIgGs) en masse, enabling facile screening of hundreds of phage-derived scIgGs. We show that this approach can be used to rapidly screen for and select scIgGs that target cell-surface receptors, and scIgGs behave the same as conventional IgGs.

A panel of anti-influenza virus nucleoprotein antibodies selected from phage-displayed synthetic antibody libraries with rapid diagnostic capability to distinguish diverse influenza virus subtypes

Immunoassays based on sandwich immuno-complexes of capture and detection antibodies simultaneously binding to the target analytes have been powerful technologies in molecular analyses. Recent developments in single molecule detection technologies enable the detection limit of the sandwich immunoassays approaching femtomolar (10–15 M), driving the needs of developing sensitive and specific antibodies for ever-increasingly broad applications in detecting and quantifying biomarkers. The key components underlying the sandwich immunoassays are antibody-based affinity reagents, for which the conventional sources are mono- or poly-clonal antibodies from immunized animals. The downsides of the animal-based antibodies as affinity reagents arise from the requirement of months of development timespan and limited choices of antibody candidates due to immunodominance of humoral immune responses in animals. Hence, developing animal antibodies capable of distinguishing highly related antigens could be challenging. To overcome the limitation imposed by the animal immune systems, we developed an in vitro methodology based on phage-displayed synthetic antibody libraries for diverse antibodies as affinity reagents against closely related influenza virus nucleoprotein (NP) subtypes, aiming to differentiating avian influenza virus (H5N1) from seasonal influenza viruses (H1N1 and H3N2), for which the NPs are closely related by 90–94% in terms of pairwise amino acid sequence identity. We applied the methodology to attain, within four weeks, a panel of IgGs with distinguishable specificities against a group of representative NPs with pairwise amino acid sequence identities up to more than 90%, and the antibodies derived from the antibody libraries without further affinity refinement had comparable affinity of mouse antibodies to the NPs with the detection limit less than 1 nM of viral NP from lysed virus with sandwich ELISA. The panel of IgGs were capable of rapidly distinguishing infections due to virulent avian influenza virus from infections of seasonal flu, in responding to a probable emergency scenario where avian influenza virus would be transmissible among humans overlapping with the seasonal influenza infections. The results indicate that the in vitro antibody development methodology enables developing diagnostic antibodies that would not otherwise be available from animal-based antibody technologies.

Abstract 1763: BiTEs vs CAR-Ts: Preclinical targeting of CD133+ brain tumor initiating cells using immunotherapy-based treatment strategies

Abstract Glioblastoma (GBM) is a uniformly fatal primary brain tumor, characterized by extensive cellular heterogeneity. Numerous studies have implicated CD133+ brain tumor initiating cells (BTICs) as drivers of chemo- and radio-resistance in GBM. We have recently demonstrated that a CD133-driven gene signature is predictive of poor overall survival and targeting CD133+ treatment-refractory cells may be an effective strategy to block GBM recurrence. Bispecific T-Cell engaging antibodies (BiTEs) and Chimeric antigen receptors (CARs) present promising immunotherapeutic approaches that have not yet been validated for recurrent GBM. Using CellectSeq, a novel methodology that combines the use of phage-displayed synthetic antibody libraries and DNA sequencing, we developed the CD133-specific monoclonal antibody ‘RW03'. We constructed CD133-specific BiTEs that consist of two arms; one recognizes the tumor antigen (CD133) and the second is specific to the CD3 antigen that binds to human GBMs and PBMC-derived T cells, respectively. We observed BiTEs redirecting T cells to kill GBMs, with greater efficiency observed in CD133high GBMs, validating BiTE target specificity. Incubating T-cells with BiTEs and the CD133high GBMs resulted in increased expression of T cell activation markers. In parallel, we derived the single chain variable fragment (scFv) from RW03 we engineered a second-generation CAR T cell. CD133-specific CAR-T cells were cytotoxic to CD133+ GBMs. Co-culturing CD133 CAR-T cells with GBMs triggered T cell activation and proliferation. Treatment of GBM tumor-bearing mice with CD133-specific CAR-T cells yielded extended survival in mice and significant reductions in brain tumor burden. Furthermore, we uniquely adapted the existing chemoradiotherapy protocol for GBM patients for treatment of immunocompromised mice engrafted with human GBMs. Within this model, we have initiated treatment of recurrent GBM directed against CD133+ BTICs, to allow for a direct prospective comparison of toxicity and efficacy of BiTEs and CAR-T cell strategies. Citation Format: Parvez Vora, Jarrett Adams, Mohini Singh, Chitra Venugopal, Nazanin Tatari, Chirayu Chokshi, Maleeha Qazi, Sabra Salim, Sujeivan Mahendram, David Bakhshinyan, Max London, Neil Savage, Minomi Subapanditha, Nicole McFarlane, James Pan, Jonathan Bramson, Sachdev Sidhu, Jason Moffat, Sheila Singh. BiTEs vs CAR-Ts: Preclinical targeting of CD133+ brain tumor initiating cells using immunotherapy-based treatment strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1763.

Anti-SEMA3A Antibody: A Novel Therapeutic Agent to Suppress Glioblastoma Tumor Growth.

PurposeGlioblastoma (GBM) is classified as one of the most aggressive and lethal brain tumor. Great strides have been made in understanding the genomic and molecular underpinnings of GBM, which translated into development of new therapeutic approaches to combat such deadly disease. However, there are only few therapeutic agents that can effectively inhibit GBM invasion in a clinical framework. In an effort to address such challenges, we have generated anti-SEMA3A monoclonal antibody as a potential therapeutic antibody against GBM progression.Materials and MethodsWe employed public glioma datasets, Repository of Molecular Brain Neoplasia Data and The Cancer Genome Atlas, to analyze SEMA3A mRNA expression in human GBM specimens. We also evaluated for protein expression level of SEMA3A via tissue microarray (TMA) analysis. Cell migration and proliferation kinetics were assessed in various GBM patient-derived cells (PDCs) and U87-MG cell-line for SEMA3A antibody efficacy. GBM patient-derived xenograft (PDX) models were generated to evaluate tumor inhibitory effect of anti-SEMA3A antibody in vivo.ResultsBy combining bioinformatics and TMA analysis, we discovered that SEMA3A is highly expressed in human GBM specimens compared to non-neoplastic tissues. We developed three different anti-SEMA3A antibodies, in fully human IgG form, through screening phage-displayed synthetic antibody library using a classical panning method. Neutralization of SEMA3A significantly reduced migration and proliferation capabilities of PDCs and U87-MG cell line in vitro. In PDX models, treatment with anti-SEMA3A antibody exhibited notable tumor inhibitory effect through down-regulation of cellular proliferative kinetics and tumor-associated macrophages recruitment.ConclusionIn present study, we demonstrated tumor inhibitory effect of SEMA3A antibody in GBM progression and present its potential relevance as a therapeutic agent in a clinical framework.

High throughput discovery of influenza virus neutralizing antibodies from phage-displayed synthetic antibody libraries

Pandemic and epidemic outbreaks of influenza A virus (IAV) infection pose severe challenges to human society. Passive immunotherapy with recombinant neutralizing antibodies can potentially mitigate the threats of IAV infection. With a high throughput neutralizing antibody discovery platform, we produced artificial anti-hemagglutinin (HA) IAV-neutralizing IgGs from phage-displayed synthetic scFv libraries without necessitating prior memory of antibody-antigen interactions or relying on affinity maturation essential for in vivo immune systems to generate highly specific neutralizing antibodies. At least two thirds of the epitope groups of the artificial anti-HA antibodies resemble those of natural protective anti-HA antibodies, providing alternatives to neutralizing antibodies from natural antibody repertoires. With continuing advancement in designing and constructing synthetic scFv libraries, this technological platform is useful in mitigating not only the threats of IAV pandemics but also those from other newly emerging viral infections.

A panel of synthetic antibodies that selectively recognize and antagonize members of the interferon alpha family

The 12 distinct subtypes that comprise the interferon alpha (IFNα) family of cytokines possess anti-viral, anti-proliferative and immunomodulatory activities. They are implicated in the etiology and progression of many diseases, and also used as therapeutic agents for viral and oncologic disorders. However, a deeper understanding of their role in disease is limited by a lack of tools to evaluate single subtypes at the protein level. Antibodies that selectively inhibit single IFNα subtypes could enable interrogation of each protein in biological samples and could be used for characterization and treatment of disease. Using phage-displayed synthetic antibody libraries, we have conducted selections against 12 human IFNα subtypes to explore our ability to obtain fine-specificity antibodies that recognize and antagonize the biological signals induced by a single IFNα subtype. For the first time, we have isolated antibodies that specifically recognize individual IFNα subtypes (IFNα2a/b, IFNα6, IFNα8b and IFNα16) with high affinity that antagonize signaling. Our results show that highly specific antibodies capable of distinguishing between closely related cytokines can be isolated from synthetic libraries and can be used to characterize cytokine abundance and function.

Abstract 3758: The efficacy of CD133 BiTEs and CAR-T cells in preclinical model of glioblastoma

Abstract Glioblastoma (GBM) is a uniformly fatal primary brain tumor, characterized by a diverse cellular phenotype and genetic heterogeneity. Despite the use of multi-modal treatment including surgical resection, radiotherapy and chemotherapy, the outcome of patients with GBM remains poor. Numerous studies have implicated CD133+ brain tumor initiating cells (BTICs) as drivers of chemo- and radio-resistance in GBM. We recently demonstrated that a CD133-driven gene signature is predictive of poor overall survival and targeting CD133+ treatment-refractory cells may be an effective strategy to block GBM recurrence. Chimeric antigen receptors (CARs) and bispecific T-Cell engaging antibodies (BiTEs) present promising immunotherapeutic approaches that have not yet been validated for recurrent GBM. Using CellectSeq, a novel methodology that combines use of phage-displayed synthetic antibody libraries and DNA sequencing, we developed the CD133-specific monoclonal antibody ‘RW03’. We constructed CD133-specific BiTEs that consist of two arms; one arm recognizes the tumor antigen (CD133) while the second is specific to CD3 antigen. The dual binding specificity was confirmed using flow cytometry. Using CD133high and CD133low primary GBM lines, we validated the binding of BiTEs to CD133+ cells. Further analysis showed binding of BiTEs to human T cells known to express CD3 within a population of healthy donor peripheral blood mononuclear cells. We observed BiTEs redirecting T cells to kill GBMs, with greater efficiency observed in CD133high GBMs, validating BiTE target specificity. Incubating T-cells with BiTEs and the CD133high GBMs resulted in increased expression of T cell activation markers. In parallel, we derived the single chain variable fragment (scFv) from previously generated RW03 and generated a second-generation CAR. Anti-CD133 scFv with a myc tag was cloned in frame with a human CD8 leader sequence, CD8a transmembrane domain, CD28, and hCD3ζ signaling tail in the lentiviral construct pCCL-ΔNGFR. Following lentiviral packaging, the T cells isolated from PBMCs were transduced with CD133 CAR construct. After successful T cell engineering, the expression of ΔNGFR and myc tag was analyzed using flow cytometry to confirm the efficiency of transduction and surface expression of anti-CD133 respectively. CD133-specific CAR-T cells were cytotoxic to CD133+ GBMs. Co-culturing CD133 CAR-T cells with GBMs triggered T cell activation and proliferation. Treatment of GBM tumor-bearing mice with CD133-specific CAR-T cells yielded extended survival in mice and significant reductions in brain tumor burden. The results of this study will establish a translational research program that will form the basis of early phase clinical trials of a promising CD133-based therapeutic strategy for patients with GBM. Citation Format: Parvez Vora, Chirayu Chokshi, Maleeha Qazi, Mohini Singh, Chitra Venugopal, Sujeivan Mahendram, Jarrett Adams, David Bakhshinyan, Max London, Jess Singh, Minomi Subapanditha1,, Nicole McFarlane, James Pan, Jonathan Bramson, Sachdev Sidhu, Jason Moffat, Sheila Singh. The efficacy of CD133 BiTEs and CAR-T cells in preclinical model of glioblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3758. doi:10.1158/1538-7445.AM2017-3758

Abstract B079: The efficacy of CD133 BiTEs and CAR-T cells in preclinical model of recurrent glioblastoma

Abstract Glioblastoma (GBM) is a uniformly fatal primary brain tumor, characterized by a diverse cellular phenotype and genetic heterogeneity. Despite the use of aggressive cellular multi-modal treatment including surgical resection, radiotherapy and chemotherapy, the outcome of patients with GBM has failed to improve significantly. Numerous studies have implicated CD133+ brain tumor initiating cells (BTICs) as drivers of chemo- and radio-resistance in GBM. We have recently demonstrated that a CD133-driven gene signature is predictive of poor overall survival and targeting CD133+ treatment-refractory cells may be an effective strategy to block GBM recurrence. Chimeric antigen receptors (CARs) and bispecific T-Cell engaging antibodies (BiTEs) present promising immunotherapeutic approaches that have not yet been validated for recurrent GBM. Using CellectSeq, a novel methodology that combines use of phage-displayed synthetic antibody libraries and DNA sequencing, we developed the CD133-specific monoclonal antibody ‘RW03’. We constructed CD133-specific BiTEs or RW03xCD3 that consist of two arms; one arm recognizes the tumor antigen (CD133) while the second is specific to CD3 antigen. The BiTEs were constructed in four different conformations and dual binding specificity was confirmed using flow cytometry. Using CD133high and CD133low primary GBM lines, we validated the binding of BiTEs to CD133+ cells. Further analysis showed binding of BiTEs to human T cells known to express CD3 within a population of healthy donor peripheral blood mononuclear cells. We observed BiTEs redirecting T cells to kill GBMs, with greater efficiency observed in CD133high GBMs, validating BiTE target specificity. Incubating T-cells with BiTEs and the CD133high GBMs resulted in increased expression of T cell activation markers. In parallel, we derived the single chain variable fragment (scFv) from previously generated RW03 and generated a second-generation CAR. Anti-CD133 scFv with a myc tag was cloned in frame with a human CD8 leader sequence, CD8a transmembrane domain, CD28, and hCD3ζ signaling tail in the lentiviral construct pCCL-ΔNGFR vector in two different orientations: Light chain-linker-Heavy chain (CD133 CAR-LH) and Heavy chain-linker-Light chain (CD133 CAR-HL). Following lentiviral preparation, the T cells isolated from PBMCs were transduced with CD133 CAR-LH and CD133 CAR-VH constructs. After successful T cell engineering, the expression of ΔNGFR and myc tag was analyzed using flow cytometry to confirm the efficiency of transduction and surface expression of anti-CD133 respectively. CD133-specific CAR-T cells were cytotoxic to CD133+ GBMs. Co-culturing CD133 CAR-T cells with GBMs triggered T cell activation and proliferation. Treatment of GBM tumor-bearing mice with CD133-specific CAR-T cells yielded extended survival in mice and significant reductions in brain tumor burden. Furthermore, we uniquely adapted the existing chemoradiotherapy protocol for GBM patients for treatment of immunocompromised mice engrafted with human GBMs. Within this model, we have initiated treatment of recurrent GBM directed against CD133+ BTICs, to allow for a direct prospective comparison of toxicity and efficacy of BiTEs and CAR T cell strategies. Citation Format: Parvez Vora, Chirayu Chokshi, Maleeha Qazi, Chitra Venugopal, Sujeivan Mahendram, Mohini Singh, Jarrett Adams, David Bakhshinyan, Max London, Minomi Subapanditha, Nicole McFarlane, James Pan, Jonathan Bramson, Jason Moffat, Sachdev Sidhu, Sheila Singh. The efficacy of CD133 BiTEs and CAR-T cells in preclinical model of recurrent glioblastoma [abstract]. In: Proceedings of the Second CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; 2016 Sept 25-28; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2016;4(11 Suppl):Abstract nr B079.

High throughput cytotoxicity screening of anti-HER2 immunotoxins conjugated with antibody fragments from phage-displayed synthetic antibody libraries.

Immunotoxins are an important class of antibody-based therapeutics. The potency of the immunotoxins depends on the antibody fragments as the guiding modules targeting designated molecules on cell surfaces. Phage-displayed synthetic antibody scFv libraries provide abundant antibody fragment candidates as targeting modules for the immunoconjugates, but the discovery of optimally functional immunoconjugates is limited by the scFv-payload conjugation procedure. In this work, cytotoxicity screening of non-covalently assembled immunotoxins was developed in high throughput format to discover highly functional synthetic antibody fragments for delivering toxin payloads. The principles governing the efficiency of the antibodies as targeting modules have been elucidated from large volume of cytotoxicity data: (a) epitope and paratope of the antibody-based targeting module are major determinants for the potency of the immunotoxins; (b) immunotoxins with bivalent antibody-based targeting modules are generally superior in cytotoxic potency to those with corresponding monovalent targeting module; and (c) the potency of the immunotoxins is positively correlated with the densities of the cell surface antigen. These findings suggest that screening against the target cells with a large pool of antibodies from synthetic antibody libraries without the limitations of natural antibody responses can lead to optimal potency and minimal off-target toxicity of the immunoconjugates.

Abstract 2972: Development and characterization of synthetic antibodies with a human framework that directly link metabolism to immune system in cancer cells

Abstract Deregulated cellular energetics and evasion of immune system are two hallmark features of cancer cells. In fact, increased uptake of glucose and glutamine by cancer cells elevates flux of a minor glucose pathway known as the hexosamine biosynthetic pathway (HBP), resulting in alteration of glycosylation. Addition of sugar moieties to proteins plays an important role in sensing cellular metabolism, growth factors, signaling molecules, nutrient flux and stress. Since many of these processes are de-regulated in tumorigenesis, global alterations in glycosylation via HBP flux are likely to play an important role in cancer. We hypothesize that cancer cells can “sense” stress through the HBP pathway, and, consequently, reprogram the cell surface and adapt to tougher conditions. Neo-epitopes on the cell surface that emerge from tuning the HBP pathway activity may be prime candidates as readouts that reliably report the status of metabolic reprogramming. In order to advance the understanding of metabolic reprogramming from the perspective of the cell surface, we combined genetics and advanced protein engineering using phage-displayed synthetic human antibody libraries to generate recombinant antibodies (rAbs) that respond to changes in the activity of the HBP. Our method for discovery of surface and nutrient-associated protein sensors (SNAPS) has allowed us to identify multiple human synthetic rAbs whose activity is potentiated under different metabolic states. More specifically, these rAbs recognize cell surface features that discriminate cancer cells with increased HBP flux and effectively recruit components of the immune system to initiate tumor cell lysis. Our findings suggest that the nutrient-dependent cell surface epitopes may have functional roles in defining cancer cell identity and may link multiple cancer hallmarks. Citation Format: Jelena Tomic, Megan McLaughlin, Ron Geyer, Sachdev Sidhu, Jason Moffat. Development and characterization of synthetic antibodies with a human framework that directly link metabolism to immune system in cancer cells. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2972.

Abstract 1481: Preclinical validation of a novel CD133/CD3 bispecific T-cell engager (BiTE) antibody to target patient-derived glioblastoma cells

Abstract Glioblastoma (GBM), an aggressive primary brain tumor in adults, is feared for its near uniformly fatal prognosis and is characterized by a diverse cellular phenotype and genetic heterogeneity. Despite the use of aggressive multi-modal treatment including surgical resection, radiotherapy and chemotherapy, the outcome of patients with GBM has failed to improve significantly. We developed patient-derived brain tumor initiating cell (BTIC) early passage lines that describe the extent of intertumoral heterogeneity, presenting a powerful preclinical model of GBM. Numerous studies have implicated CD133+ BTICs as drivers of chemo- and radio-resistance in GBM. CD133 expression correlates with disease progression, recurrence, and poor overall survival of GBM patients. Here, we describe the preclinical evaluation of a recombinant RW03xCD3 bispecific T-cell engager (BiTE) antibody that redirects human polyclonal T cells to CD133+ GBM cells, inducing very potent anti-tumor response. Using CellectSeq, a novel methodology that combines use of phage-displayed synthetic antibody libraries and high-throughput DNA sequencing technology, we developed the CD133-specific monoclonal antibody ‘RW03’. We constructed CD133-specific BiTEs or RW03xCD3 that consist of two arms; one arm recognizes the tumor antigen (CD133) while the second is specific to CD3 antigen. The BiTEs were constructed in four different conformations and dual binding specificity was confirmed using flow cytometry. Using CD133high and CD133low primary GBM lines, we validated the binding of BiTEs to CD133+ cells. Further analysis showed binding of BiTEs to human T cells known to express CD3 within a population of healthy donor peripheral blood mononuclear cells. In order to test the ability of BiTEs to functionally elicit CD133-specific cytotoxic responses in vitro, we performed Presto blue-based killing assays. We observed CD133-specific BiTEs redirect T cells to kill CD133-expressing GBM cells in a coculture of T cells and GBM cells. The killing was more efficient in CD133high GBMs compared to CD133low GBMs, validating its specificity to target CD133+ BTICs. Incubating T cells with BiTEs and GBMs resulted in increased surface expression of T-cell activation markers CD69 and CD25 in both, CD4+ and CD8+ T cells populations. Treatment with BiTEs yielded extended survival in mice and significant reductions in brain tumor burden. This rigorously obtained data offers compelling evidence that BiTE-mediated cytotoxicity against treatment-resistant and evasive CD133+ GBM BTICs could provide a very potent, specific and novel therapeutic strategy for GBM patients. Citation Format: Parvez Vora, Chitra Venugopal, Jarrett Adams, James Pan, Chirayu Chokshi, Maleeha Qazi, Minomi Subapanditha, Mohini Singh, David Bakhshinyan, Ksenia Bezverbnaya, Nicole McFarlane, Jonathan Bramson, Sachdev Sidhu, Jason Moffat, Sheila Singh. Preclinical validation of a novel CD133/CD3 bispecific T-cell engager (BiTE) antibody to target patient-derived glioblastoma cells. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1481.

Predominant structural configuration of natural antibody repertoires enables potent antibody responses against protein antigens.

Humoral immunity against diverse pathogens is rapidly elicited from natural antibody repertoires of limited complexity. But the organizing principles underlying the antibody repertoires that facilitate this immunity are not well-understood. We used HER2 as a model immunogen and reverse-engineered murine antibody response through constructing an artificial antibody library encoded with rudimentary sequence and structural characteristics learned from high throughput sequencing of antibody variable domains. Antibodies selected in vitro from the phage-displayed synthetic antibody library bound to the model immunogen with high affinity and specificities, which reproduced the specificities of natural antibody responses. We conclude that natural antibody structural repertoires are shaped to allow functional antibodies to be encoded efficiently, within the complexity limit of an individual antibody repertoire, to bind to diverse protein antigens with high specificity and affinity. Phage-displayed synthetic antibody libraries, in conjunction with high-throughput sequencing, can thus be designed to replicate natural antibody responses and to generate novel antibodies against diverse antigens.

Scalable high throughput selection from phage-displayed synthetic antibody libraries.

The demand for antibodies that fulfill the needs of both basic and clinical research applications is high and will dramatically increase in the future. However, it is apparent that traditional monoclonal technologies are not alone up to this task. This has led to the development of alternate methods to satisfy the demand for high quality and renewable affinity reagents to all accessible elements of the proteome. Toward this end, high throughput methods for conducting selections from phage-displayed synthetic antibody libraries have been devised for applications involving diverse antigens and optimized for rapid throughput and success. Herein, a protocol is described in detail that illustrates with video demonstration the parallel selection of Fab-phage clones from high diversity libraries against hundreds of targets using either a manual 96 channel liquid handler or automated robotics system. Using this protocol, a single user can generate hundreds of antigens, select antibodies to them in parallel and validate antibody binding within 6-8 weeks. Highlighted are: i) a viable antigen format, ii) pre-selection antigen characterization, iii) critical steps that influence the selection of specific and high affinity clones, and iv) ways of monitoring selection effectiveness and early stage antibody clone characterization. With this approach, we have obtained synthetic antibody fragments (Fabs) to many target classes including single-pass membrane receptors, secreted protein hormones, and multi-domain intracellular proteins. These fragments are readily converted to full-length antibodies and have been validated to exhibit high affinity and specificity. Further, they have been demonstrated to be functional in a variety of standard immunoassays including Western blotting, ELISA, cellular immunofluorescence, immunoprecipitation and related assays. This methodology will accelerate antibody discovery and ultimately bring us closer to realizing the goal of generating renewable, high quality antibodies to the proteome.

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

The functional capacity of the natural amino acids for molecular recognition

We tested the functional capacity of the natural amino acids for molecular recognition in a minimalist background of binary Tyr/Ser diversity. In phage-displayed synthetic antibody libraries, we replaced either Tyr or Ser with other residues. We find that Tyr is optimal for mediating contacts that contribute favourably to both affinity and specificity, but it can be replaced by Trp, which contributes favourably to affinity but is detrimental to specificity. Arg exhibited a limited capacity for mediating molecular recognition but was less effective than either Tyr or Trp, and moreover, was the major contributor to non-specific interactions. Nine other residue types (Phe, Leu, Ile, Asn, Thr, Pro, Cys, Ala, and Gly) were found to be ineffective as replacements for Tyr. By replacing Ser with Gly or Ala, we found that Gly is as effective as Ser for providing conformational flexibility that allows bulky Tyr residues to achieve optimal binding contacts, while Ala is less effective but still functional in this capacity. For some antigens, high affinity antibodies could be derived using only Tyr/Ser/Gly diversity, but for others, additional chemical diversity was required to achieve high affinity. Our results establish a minimal benchmark for the generation of synthetic antigen-binding sites with affinities comparable to those of natural antibodies. Moreover, our findings illuminate the fundamental principles underlying protein-protein interactions and provide valuable guidelines for engineering synthetic binding proteins with functions beyond the scope of natural proteins.

ANTIBODIES AGAINST RNA

FOR THE FIRST TIME, researchers have used a generally applicable method to elicit antibodies against RNA. This achievement promises to bring routine antibody technology from protein research to the burgeoning RNA field. It could lead to the widespread use of RNA-binding antibodies in RNA structure determination and biochemical and medical diagnostics. Traditional immunization-based antibody technology is not used to elicit antibodies to RNA, because nucleases degrade RNA that’s injected into an animal. The new anti-RNA antibodies come from an existing library of phage-displayed synthetic antibody fragments that a team led by three University of Chicago professors—chemist Joseph A. Piccirilli and molecular biologists Shohei Koide and Anthony A. Kossiakoff—screened for binding to RNA. The screening identified two antibody fragments that bind tightly and specifically to the 3-D structure of a model RNA called ΔC209 P4-P6. The team used one of those fragments to assist crystallization of the model RNA, making...