Full-length Antibodies Research Articles

Generation of a highly specific recombinant full-length antibody for detecting ethirimol in fruit and environmental water

High-performance antibodies are core reagents for highly sensitive immunoassays. Herein, based on a novel hapten, a hybridoma secreting the high-affinity anti-ethirimol monoclonal antibody (mAb-14G5F6) was isolated with an IC50 value of 1.35 μg/L and cross-reactivity below 0.20% for 13 analogs. To further address the challenge of hybridoma preservation and antibody immortalization, a recombinant full-length antibody (rAb-14G5F6) was expressed using the HEK293(F) expression system based on the mAb-14G5F6 gene. The affinity, specificity, and tolerance of rAb-14G5F6, as characterized by indirect competitive enzyme-linked immunosorbent assay and noncompetitive surface plasmon resonance, exhibited high concordance with those of mAb-14G5F6. Further immunoassays based on rAb-14G5F6 were developed for irrigation water and strawberry fruit with limits of detection of 0.0066 and 0.036 mg/kg, respectively, recoveries of 80100%, and coefficients of variation below 10%. Furthermore, homology simulation and molecular docking revealed that GLU(L40), GLY(L107), GLY(H108), and ASP(H114) play important roles in forming hydrogen bonds and pi-anion ionic bonds between rAb-14G5F6 and ethirimol, resulting in the high specificity and affinity of rAb-14G5F6 for ethirimol, with a KD of 5.71 × 10-10 mol/L. Overall, a rAb specific for ethirimol was expressed successfully in this study, laying the groundwork for rAb-based immunoassays for monitoring fungicide residues in agricultural products and the environment.

MIB Guides: Measuring the Immunoreactivity of Radioimmunoconjugates

Immunoglobulins, both full-length antibodies and smaller antibody fragments, have long been regarded as effective platforms for diagnostic and therapeutic radiopharmaceuticals. The construction of radiolabeled immunoglobulins (i.e., radioimmunoconjugates) requires the manipulation of the biomolecule through the attachment of a radiohalogen or the bioconjugation of a chelator that is subsequently used to coordinate a radiometal. Both synthetic approaches have historically relied upon the stochastic modification of amino acids within the immunoglobulin, a process which poses a risk to the structural and functional integrity of the biomolecule itself. Not surprisingly, radioimmunoconjugates with impaired antigen binding capacity will inevitably exhibit suboptimal in vivo performance. As a result, the biological characterization of any newly synthesized radioimmunoconjugate must include an assessment of whether it has retained its ability to bind its antigen. Herein, we provide straightforward and concise protocols for three assays that can be used to determine the immunoreactivity of a radioimmunoconjugate: (1) a cell-based linear extrapolation assay; (2) a cell-based antigen saturation assay; and (3) a resin- or bead-based assay. In addition, we will provide a critical analysis of the relative merits of each assay, an examination of the inherent limitations of immunoreactivity assays in general, and a discussion of other approaches that may be used to interrogate the biological behavior of radioimmunoconjugates.

A minimal physiologically based pharmacokinetic model to study the combined effect of antibody size, charge, and binding affinity to FcRn/antigen on antibody pharmacokinetics.

Protein therapeutics have revolutionized the treatment of a wide range of diseases. While they have distinct physicochemical characteristics that influence their absorption, distribution, metabolism, and excretion (ADME) properties, the relationship between the physicochemical properties and PK is still largely unknown. In this work we present a minimal physiologically-based pharmacokinetic (mPBPK) model that incorporates a multivariate quantitative relation between a therapeutic's physicochemical parameters and its corresponding ADME properties. The model's compound-specific input includes molecular weight, molecular size (Stoke's radius), molecular charge, binding affinity to FcRn, and specific antigen affinity. Through derived and fitted empirical relationships, the model demonstrates the effect of these compound-specific properties on antibody disposition in both plasma and peripheral tissues using observed PK data in mice and humans. The mPBPK model applies the two-pore hypothesis to predict size-based clearance and exposure of full-length antibodies (150kDa) and antibody fragments (50-100kDa) within a onefold error. We quantitatively relate antibody charge and PK parameters like uptake rate, non-specific binding affinity, and volume of distribution to capture the relatively faster clearance of positively charged mAb as compared to negatively charged mAb. The model predicts the terminal plasma clearance of slightly positively and negatively charged antibody in humans within a onefold error. The mPBPK model presented in this work can be used to predict the target-mediated disposition of a drug when compound-specific and target-specific properties are known. To our knowledge, a combined effect of antibody weight, size, charge, FcRn, and antigen has not been incorporated and studied in a single mPBPK model previously. By conclusively incorporating and relating a multitude of protein's physicochemical properties to observed PK, our mPBPK model aims to contribute as a platform approach in the early stages of drug development where many of these properties can be optimized to improve a molecule's PK and ultimately its efficacy.

HuM195 and its single-chain variable fragment increase Aβ phagocytosis in microglia via elimination of CD33 inhibitory signaling.

CD33 is a transmembrane receptor expressed on cells of myeloid lineage and regulates innate immunity. CD33 is a risk factor for Alzheimer's disease (AD) and targeting CD33 has been a promising strategy drug development. However, the mechanism of CD33's action is poorly understood. Here we investigate the mechanism of anti-CD33 antibody HuM195 (Lintuzumab) and its single-chain variable fragment (scFv) and examine their therapeutic potential. Treatment with HuM195 full-length antibody or its scFv increased phagocytosis of β-amyloid 42 (Aβ42) in human microglia and monocytes. This activation of phagocytosis was driven by internalization and degradation of CD33, thereby downregulating its inhibitory signal. HumM195 transiently induced CD33 phosphorylation and its signaling via receptor dimerization. However, this signaling decayed with degradation of CD33. scFv binding to CD33 leads to a degradation of CD33 without detection of the CD33 dimerization and signaling. Moreover, we found that treatments with either HuM195 or scFv promotes the secretion of IL33, a cytokine implicated in microglia reprogramming. Importantly, recombinant IL33 potentiates the uptake of Aβ42 in monocytes. Collectively, our findings provide unanticipated mechanistic insight into the role of CD33 signaling in both monocytes and microglia and define a molecular basis for the development of CD33-based therapy of AD.

Recombinant Antibody Fragments for Immunotherapy of Parkinson's Disease.

Parkinson's disease (PD) is the second most common age-related neurodegenerative disorder. Multiple genetic and environmental factors leading to progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SN) and consequent depletion of dopamine were described. Current clinical approaches, such as dopamine replacement or deep brain stimulation using surgically implanted probes, provide symptomatic relief but cannot modify disease progression. Therefore, disease-modifying therapeutic tools are urgently needed. Immunotherapy approaches, including passive transfer of protective antibodies and their fragments, have shown therapeutic efficacy in several animal models of neurodegenerative diseases, including PD. Recombinant antibody fragments are promising alternatives to conventional full-length antibodies. Modern computational approaches and molecular biology tools, directed evolution methodology, and the design of tissue-penetrating fusion peptides allowed for the development of recombinant antibody fragments with superior specificity and affinity, reduced immunogenicity, the capacity to target hidden epitopes and cross the blood-brain barrier (BBB), higher solubility and stability, the ability to refold after heat denaturation, and inexpensive large-scale production. In addition, antibody fragments do not induce microglia Fcγ receptor (FcγR)-mediated proinflammatory response and tissue damage in the central nervous system (CNS), because they lack the Fc portion of the immunoglobulin molecule. In the present review, we summarized data on recombinant antibody fragments evaluated as immunotherapeutics in preclinical models of PD and discussed their potential for developing therapeutic and preventive protocols for patients with PD.

Chimerism of avian IgY-scFv and truncated IgG-Fc: A novel strategy in cross-species antibody generation and enhancement.

Chicken single-chain fragment variable (IgY-scFv) is a functional fragment and an emerging development in genetically engineered antibodies with a wide range of biomedical applications. However, scFvs have considerably shorter serum half-life due to the absence of antibody Fc region compared with the full-length antibody, and usually requires continuous intravenous administration for efficacy. A promising approach to overcome this limitation is to fuse scFv with immunoglobulin G (IgG) Fc region, for better recognition and mediation by the neonatal Fc receptor (FcRn) in the host. In this study, engineered mammalian ΔFc domains (CH2, CH3, and intact Fc region) were fused with anti-canine parvovirus-like particles avian IgY-scFv to produce chimeric antibodies and expressed in the HEK293 cell expression system. The obtained scFv-CH2, scFv-CH3, and scFv-Fc can bind with antigen specifically and dose-dependently. Surface plasmon resonance investigation confirmed that scFv-CH2, scFv-CH3, and scFv-Fc had different degrees of binding to FcRn, with scFv-Fc showing the highest affinity. scFv-Fc had a significantly longer half-life in mice compared with the unfused scFv. The identified ΔFcs are promising for the development of engineered Fc-based therapeutic antibodies and proteins with longer half-lives. The avian IgY-scFv-mammalian IgG Fc region opens up new avenues for antibody engineering, and it is a novel strategy to enhance the rapid development and screening of functional antibodies in veterinary and human medicine.

Advances in Escherichia coli-Based Therapeutic Protein Expression: Mammalian Conversion, Continuous Manufacturing, and Cell-Free Production

Therapeutic proteins treat many acute and chronic diseases that were until recently considered untreatable. However, their high development cost keeps them out of reach of most patients around the world. One plausible solution to lower-cost manufacturing is to adopt newer technologies like using Escherichia coli to express larger molecules, including full-length antibodies, generally relegated to Chinese Hamster Ovary (CHO) cells, adopt continuous manufacturing, and convert the manufacturing to cell-free synthesis. The advantages of using E. coli include a shorter production cycle, little risk of viral contamination, cell host stability, and a highly reproducible post-translational modification.

Effect of Heparin on Antigen-Antibody Interaction in a Model System of the Bevacizumab Therapeutic Antibody And its Target VEGF-А165

In this work, we studied the effect of heparin on the binding process of VEGF-A165, the most common and important growth factor, and the monoclonal antibody bevacizumab by bio-layer interferometry. A complex of the full-length bevacizumab antibody with VEGF-A165 was modeled. The data obtained can be used in therapy with this antibody, as well as in the development of other therapeutic antibodies with maximum target specificity under various conditions.

Cytoplasmic production of Fabs in chemically defined media in fed-batch fermentation

Fragment of antigen-binding region (Fab) of antibodies are important biomolecules, with a broad spectrum of functionality in the biomedical field. While full length antibodies are usually produced in mammalian cells, the smaller size, lack of N-glycosylation and less complex structure of Fabs make production in microbial cell factories feasible. Since Fabs contain disulfide bonds, such production is often done in the periplasm, but there the formation of the inter-molecular disulfide bond between light and heavy chains can be problematic. Here we studied the use of the CyDisCo system (cytoplasmic disulfide bond formation in E. coli) to express two Fabs (Herceptin and Maa48) in the cytoplasm of E. coli in fed-batch fermentation using a generic chemically defined media. We were able to solubly express both Fabs with purified yields of 565 mg/L (Maa48) and 660 mg/L (Herceptin) from low density fermentation. Both proteins exhibited CD spectra consistent with natively folded protein and both were biologically active. To our knowledge this is the first demonstration of high-level production of biological active Fabs in the cytoplasm of E. coli in industrially relevant fermentation conditions.

Elranatamab Exposure-Efficacy Analysis in Patients with Relapsed or Refractory Multiple Myeloma: Insights from Pooled Magnetismm Studies

BACKGROUND Elranatamab (ELRA) is a heterodimeric humanized full-length bispecific antibody comprised of one B-cell Maturation Antigen (BCMA) binding arm and one cluster of differentiation 3 (CD3) binding arm paired through hinge mutation technology. Results from the MagnetisMM-3 (NCT04649359) study indicated deep and durable responses in patients with relapsed or refractory multiple myeloma (RRMM). The current analysis was conducted a) to characterize the relationship between free (ie, unbound) and total (ie, unbound and bound to soluble BCMA - sBCMA) ELRA exposure and objective response rate (ORR), b) to evaluate the effect of potential covariates in the ELRA exposure-response (E-R) relationship with ORR, and c) to characterize the relationship between ELRA exposure and duration of response (DOR). METHODS Data from ELRA monotherapy from the MagnetisMM-1 (first-in-human Ph1, NCT03269136), MagnetisMM-2 (Japan Ph1, NCT04798586), MagnetisMM-3 (Ph2 with pivotal Cohort A in BCMA-naïve patients and Cohort B with BCMA-exposed patients), and MagnetisMM-9 (Ph1/2, NCT05014412) studies were pooled for analyses. The dataset included a wide dose range from 0.1 µg/kg IV to 1000 µg/kg / 76 mg SC weekly (QW) dosing. Free and total exposure metrics (C ave,Day28, ie, average ELRA concentration on Day 28) and (C ave,Event, ie, average ELRA concentration up to the time of first response or progression/end of treatment) were obtained using the individual post-hoc pharmacokinetic (PK) parameters from the population PK model 1. The E-R relationship for the efficacy endpoint ORR by Investigator and the effects of various baseline demographic and disease risk factors (eg, age, sex, baseline sBCMA level, cytogenetics, extramedullary disease [EMD], and number of prior lines of therapy) were characterized using binomial logistic regression method. A Cox proportional hazard model was used to quantify the effects of C ave,Day28 and C ave,Event and the reduction of the dosing intensity from QW to once every two weeks (Q2W) on DOR. The relationship between tertiles and DOR was also explored using Kaplan-Meier (KM) analysis. The analyses were performed with R software. RESULTS A significant E-R relationship was identified between both total and free ELRA C ave,Day28 and C ave,Event and ORR. Higher ELRA exposure was associated with higher ORR. For the total ELRA PK analysis, lower baseline sBCMA level was associated with higher ORR. For both total and free ELRA E-R relationships, number of prior lines of therapy ≤ 5 and absence of baseline EMD were associated with higher ORR. None of the other covariates were significant predictors of ORR. The models developed using either C ave,Day28 or C ave,Event identified same set of significant covariates. Figure 1 shows the results of free ELRA C ave,Day28 E-R analysis. The Cox proportional hazard analysis and KM plots of DOR by tertiles of exposure revealed no significant association between ELRA exposure, Q2W switch, and DOR. CONCLUSION The efficacy endpoint ORR demonstrated E-R relationships with total and free ELRA exposures. Patients with higher ELRA exposure, lower number of prior lines of therapy, , were more likely to achieve objective responses. Lower sBCMA was also a significant predictor of ORR in the total PK analysis. The findings supported the 76 mg QW ELRA, which is the highest tested dose in the MagnetisMM-1 study. This regimen is projected to provide meaningful clinical benefit in the majority of RRMM patients, including those with relatively high baseline sBCMA levels. The identified covariates are known prognostic factors for RRMM, yet the ORR achieved in these subgroups is clinically meaningful. There was no significant association between total or free ELRA exposures, Q2W switch and DOR, which further supports the maintenance of responses with Q2W switch for the RRMM population.

IgLM: Infilling language modeling for antibody sequence design

Discovery and optimization of monoclonal antibodies for therapeutic applications relies on large sequence libraries but is hindered by developability issues such as low solubility, high aggregation, and high immunogenicity. Generative language models, trained on millions of protein sequences, are a powerful tool for the on-demand generation of realistic, diverse sequences. We present the Immunoglobulin Language Model (IgLM), a deep generative language model for creating synthetic antibody libraries. Compared with prior methods that leverage unidirectional context for sequence generation, IgLM formulates antibody design based on text-infilling in natural language, allowing it to re-design variable-length spans within antibody sequences using bidirectional context. We trained IgLM on 558 million (M) antibody heavy- and light-chain variable sequences, conditioning on each sequence's chain type and species of origin. We demonstrate that IgLM can generate full-length antibody sequences from a variety of species and its infilling formulation allows it to generate infilled complementarity-determining region (CDR) loop libraries with improved in silico developability profiles. A record of this paper's transparent peer review process is included in the supplemental information.

Antibody sequence-based prediction of pH gradient elution in multimodal chromatography

Multimodal chromatography has emerged as a promising technique for antibody purification, owing to its capacity to selectively capture and separate target molecules. However, the optimization of chromatography parameters remains a challenge due to the intricate nature of protein-ligand interactions. To tackle this issue, efficient predictive tools are essential for the development and optimization of multimodal chromatography processes. In this study, we introduce a methodology that predicts the elution behavior of antibodies in multimodal chromatography based on their amino acid sequences. We analyzed a total of 64 full-length antibodies, including IgG1, IgG4, and IgG-like multispecific formats, which were eluted using linear pH gradients from pH 9.0 to 4.0 on the anionic mixed-mode resin Capto adhere. Homology models were constructed, and 1312 antibody-specific physicochemical descriptors were calculated for each molecule. Our analysis identified six key structural features of the multimodal antibody interaction, which were correlated with the elution behavior, emphasizing the antibody variable region. The results show that our methodology can predict pH gradient elution for a diverse range of antibodies and antibody formats, with a test set R² of 0.898. The developed model can inform process development by predicting initial conditions for multimodal elution, thereby reducing trial and error during process optimization. Furthermore, the model holds the potential to enable an in silico manufacturability assessment by screening target antibodies that adhere to standardized purification conditions. In conclusion, this study highlights the feasibility of using structure-based prediction to enhance antibody purification in the biopharmaceutical industry. This approach can lead to more efficient and cost-effective process development while increasing process understanding.

Impact of Targeting Moiety Type and Protein Corona Formation on the Uptake of Fn14-Targeted Nanoparticles by Cancer Cells.

The TWEAK receptor, Fn14, is a promising candidate for active targeting of cancer nanotherapeutics to many solid tumor types, including metastatic breast and primary brain cancers. Targeting of therapeutic nanoparticles (NPs) has been accomplished using a range of targeting moieties including monoclonal antibodies and related fragments, peptides, and small molecules. Here, we investigated a full-length Fn14-specific monoclonal antibody, ITEM4, or an ITEM4-Fab fragment as a targeting moiety to guide the development of a clinical formulation. We formulated NPs with varying densities of the targeting moieties while maintaining the decreased nonspecific adhesivity with receptor targeting (DART) characteristics. To model the conditions that NPs experience following intravenous infusion, we investigated the impact of serum exposure in relation to the targeting moiety type and surface density. To further evaluate performance at the cancer cell level, we performed experiments to assess differences in cellular uptake and trafficking in several cancer cell lines using confocal microscopy, imaging flow cytometry, and total internal reflection fluorescence microscopy. We observed that Fn14-targeted NPs exhibit enhanced cellular uptake in Fn14-high compared to Fn14-low cancer cells and that in both cell lines uptake levels were greater than observed with control, nontargeted NPs. We found that serum exposure increased Fn14-targeted NP specificity while simultaneously reducing the total NP uptake. Importantly, serum exposure caused a larger reduction in cancer cell uptake over time when the targeting moiety was an antibody fragment (Fab region of the monoclonal antibody) compared with the full-length monoclonal antibody targeting moiety. Lastly, we uncovered that full monoclonal antibody-targeted NPs enter cancer cells via clathrin-mediated endocytosis and traffic through the endolysosomal pathway. Taken together, these results support a pathway for developing a clinical formulation using a full-length Fn14 monoclonal antibody as the targeting moiety for a DART cancer nanotherapeutic agent.

Effect of Glutamate Antibody F(ab)2 Fragments on Memory Changes in Aged C57BL/6 Mice.

Intranasal administration of F(ab)2 fragments of anti-glutamate antibodies to 12-month-old C57BL/6 mice improves passive avoidance conditioning and have no effect on horizontal and vertical locomotor activity in the open-field test. In contrast to full-length antibodies to glutamate, their F(ab)2 fragments significantly increase the number of animals developed a conditioned passive avoidance reflex.

Design of an alternate antibody fragment format that can be produced in the cytoplasm of Escherichia coli

With increased accessibility and tissue penetration, smaller antibody formats such as antibody fragments (Fab) and single chain variable fragments (scFv) show potential as effective and low-cost choices to full-length antibodies. These formats derived from the modular architecture of antibodies could prove to be game changers for certain therapeutic and diagnostic applications. Microbial hosts have shown tremendous promise as production hosts for antibody fragment formats. However, low target protein yields coupled with the complexity of protein folding result in production limitations. Here, we report an alternative antibody fragment format ‘FabH3’ designed to overcome some key bottlenecks associated with the folding and production of Fabs. The FabH3 molecule is based on the Fab format with the constant domains replaced by engineered immunoglobulin G1 (IgG1) CH3 domains capable of heterodimerization based on the electrostatic steering approach. We show that this alternative antibody fragment format can be efficiently produced in the cytoplasm of E. coli using the catalyzed disulfide-bond formation system (CyDisCo) in a natively folded state with higher soluble yields than its Fab counterpart and a comparable binding affinity against the target antigen.

Combining deep mutational scanning to heatmap of HLA class II binding of immunogenic sequences to preserve functionality and mitigate predicted immunogenicity.

Removal of CD4 T cell epitopes from therapeutic antibody sequences is expected to mitigate their potential immunogenicity, but its application is complicated by the location of their T cell epitopes, which mainly overlap with complementarity-determining regions. We therefore evaluated the flexibility of antibody sequences to reduce the predicted affinity of corresponding peptides for HLA II molecules and to maintain antibody binding to its target in order to guide antibody engineering for mitigation of predicted immunogenicity. Permissive substitutions to reduce affinity of peptides for HLA II molecules were identified by establishing a heatmap of HLA class II binding using T-cell epitope prediction tools, while permissive substitutions preserving binding to the target were identified by means of deep mutational scanning and yeast surface display. Combinatorial libraries were then designed to identify active clones. Applied to adalimumab, an anti-TNFα human antibody, this approach identified 200 mutants with a lower HLA binding score than adalimumab. Three mutants were produced as full-length antibodies and showed a higher affinity for TNFα and neutralization ability than adalimumab. This study also sheds light on the permissiveness of antibody sequences with regard to functionality and predicted T cell epitope content.

YEAST SURFACE DISPLAY OF FULL-LENGTH IGG FOR ENGINEERING MONOCLONAL AND BISPECIFIC ANTIBODIES

Abstract The single-chain variable fragment (scFv) and antigen-binding fragment (Fab) are widely used in yeast surface display for antibody engineering. However, these non-IgG antibody fragments are not always well-expressed or functional. We developed a novel approach to display full-length IgG on yeast surfaces for engineering monoclonal and bispecific antibodies. The yeast surface display of full-length IgG was generated by transforming glycoengineered yeast P. pastoris with plasmids encoding for anchor protein, heavy chains, and light chains. IgG-displaying yeast cells were incubated with the fluorophore antigen and secondary detection antibody for FACS sorting. The displayed antibody with bound antigen and detection antibody was detected by FACS sorting based on both antibody affinity and display level. FACS sorting could eliminate the deviation caused by expression levels. The yeast surface display of IgG-like bispecific antibodies was also constructed, which exhibited specific binding of two distinct fluorophore antigens in flow-cytometry analysis. Thus, our yeast surface display of full-length IgG can be used to screen light chain libraries to isolate common light chains for bispecific antibodies. To assess antigen-binding efficiency between different displaying formats, an antibody was respectively displayed as full-length IgG or Fab on the surface of yeast cells for flow-cytometry analysis. Cells displaying full-length IgG showed a higher level of fluorescence than those displaying Fab fragments, indicating that yeast surface display of full-length IgG is superior for high-throughput screening. To test the specificity of the displayed antibody, we performed a demo experiment in which TNF-binding adalimumab-displaying cells were mixed with trastuzumab-displaying cells at a 1 to 1,000,000 ratio, mimicking the immune library. After three consecutive rounds of sorting, the yeast cells with high fluorescence were plated on a selective medium and the individual antibody clones were sequenced. All ten sequenced clones were confirmed to be adalimumab, demonstrating the maintenance of genotype-phenotype linkage for library screening in yeast surface display of full-length IgG. A mutation library was also generated from the initial hit and displayed at the surface of yeast cells for the screening of higher affinity maturation antibodies by FACS. A pool of high-affinity binders was plated on a selective medium. Individual clones were analyzed by flow cytometry and sequenced to identify unique antibodies with higher affinity. In summary, full-length IgG antibodies can be displayed on the yeast cell surface, mimicking their native forms in molecular structure and biophysical properties. The technique combines the high throughput of yeast display with mammalian-cell quality control. This novel approach can be used to engineer monoclonal and bispecific antibodies for high affinity and improved developability profiles.

Characterisation of two snake toxin-targeting human monoclonal immunoglobulin G antibodies expressed in tobacco plants

Current snakebite antivenoms are based on polyclonal animal-derived antibodies, which can neutralize snake venom toxins in envenomed victims, but which are also associated with adverse reactions. Therefore, several efforts within antivenom research aim to explore the utility of recombinant monoclonal antibodies, such as human immunoglobulin G (IgG) antibodies, which are routinely used in the clinic for other indications. In this study, the feasibility of using tobacco plants as bioreactors for expressing full-length human monoclonal IgG antibodies against snake toxins was investigated. We show that the plant-produced antibodies perform similarly to their mammalian cell-expressed equivalents in terms of in vitro antigen binding. Complete neutralization was achieved by both the plant and mammalian cell-produced anti-α-cobratoxin antibody. The feasibility of using plant-based expression systems may potentially make it easier for laboratories in resource-poor settings to work with human monoclonal IgG antibodies.

Targeted Alpha Therapy (TAT) with Single-Domain Antibodies (Nanobodies)

The persistent threat of cancer necessitates the development of improved and more efficient therapeutic strategies that limit damage to healthy tissues. Targeted alpha therapy (TαT), a novel form of radioimmuno-therapy (RIT), utilizes a targeting vehicle, commonly antibodies, to deliver high-energy, but short-range, alpha-emitting particles specifically to cancer cells, thereby reducing toxicity to surrounding normal tissues. Although full-length antibodies are often employed as targeting vehicles for TαT, their high molecular weight and the presence of an Fc-region lead to a long blood half-life, increased bone marrow toxicity, and accumulation in other tissues such as the kidney, liver, and spleen. The discovery of single-domain antibodies (sdAbs), or nanobodies, naturally occurring in camelids and sharks, has introduced a novel antigen-specific vehicle for molecular imaging and TαT. Given that nanobodies are the smallest naturally occurring antigen-binding fragments, they exhibit shorter relative blood half-lives, enhanced tumor uptake, and equivalent or superior binding affinity and specificity. Nanobody technology could provide a viable solution for the off-target toxicity observed with full-length antibody-based TαT. Notably, the pharmacokinetic properties of nanobodies align better with the decay characteristics of many short-lived α-emitting radionuclides. This review aims to encapsulate recent advancements in the use of nanobodies as a vehicle for TαT.

Isolation of full-length IgG antibodies from combinatorial libraries expressed in the cytoplasm of Escherichia coli

Here we describe a facile and robust genetic selection for isolating full-length IgG antibodies from combinatorial libraries expressed in the cytoplasm of redox-engineered Escherichia coli cells. The method is based on the transport of a bifunctional substrate comprised of an antigen fused to chloramphenicol acetyltransferase, which allows positive selection of bacterial cells co-expressing cytoplasmic IgGs called cyclonals that specifically capture the chimeric antigen and sequester the antibiotic resistance marker in the cytoplasm. The utility of this approach is first demonstrated by isolating affinity-matured cyclonal variants that specifically bind their cognate antigen, the leucine zipper domain of a yeast transcriptional activator, with subnanomolar affinities, which represent a ~20-fold improvement over the parental IgG. We then use the genetic assay to discover antigen-specific cyclonals from a naïve human antibody repertoire, leading to the identification of lead IgG candidates with affinity and specificity for an influenza hemagglutinin-derived peptide antigen.