mAb Production Research Articles

Development and characterization of new swine immune reagents to understand immune correlates for vaccines, infection, and biomedical research outcomes

Abstract The USDA-NIFA Swine Immune Toolkit Initiative has a goal to generate priority immune reagents, based on inputs from veterinary immunology researchers worldwide, and pipeline them for marketing. Our efforts are aimed at expression of soluble proteins and production of panels of monoclonal antibodies (mAbs) using collaborations with commercial partners for protein expression and mAb production. Generation of new panels of mAbs reactive with porcine IL-5 and IL-21 have been initiated. Panels of mAbs to IL-6, IL-13, IL-17A, IL-28B, CXCL10, and BAFF are being screened for their reactivity in multiple immune assays. Reactivity tests of labeled anti-IL-6, -IL-17A, -IL-13 and -CXCL10 mAbs for intracellular staining of porcine myeloid and T cells using flow cytometry-based assays are in progress. Sensitive sandwich ELISA assays are now available for IL-17A, IL-13 and CXCL10; other targets are being screened for best mAb pairs for such assays. Planning for the generation of SLA-I & -II tetramers to identify swine CD4 and CD8 T cells specific for influenza virus peptides has been initiated. For each target, our goal is to provide the veterinary community with new commercial reagents and standardized techniques using these reagents for their research efforts. Tools and reagents generated by this project will undoubtedly advance swine immune, disease, vaccine, and biomedical research efforts.

Utilization of the human gamma-satellite insulator for the enhancement of anti-PCSK9 monoclonal antibody expression in Chinese hamster ovary cells.

Monoclonal antibodies (mAbs) are widely employed as invaluable therapeutics for a vast number of human disorders. Several approaches have been introduced for the improvement of mAb production in Chinese hamster ovary (CHO) cells due to the increasing demand for these products. In this regard, various chromatin-modifying elements such as insulators have been incorporated in the expression vectors to augment mAb expression. In this study, human gamma-satellite insulator containing vectors were utilized for the expression of an anti-proprotein convertase subtilisin/kexin type 9 (PCSK9) mAb in CHO-K1 cells. To this aim, dual expression vectors encoding the antibody light chain (LC) and heavy chain (HC) with or without the insulator element were constructed, and mAb expression was evaluated in transient and stable expression. Based on the results, mAb expression significantly increased in the stable cell pool, and clonal cells developed using the human gamma-satellite insulator. In contrast, transient antibody expression was not affected by the insulator element. Finally, the enhancement of LC and HC mRNA levels was found in the insulator containing stable cell pools using the quantitative real-time-polymerase chain reaction (qRT-PCR). Our findings showed the positive effect of the human gamma-satellite insulator on the stable expression of an anti-PCSK9 immunoglobulin G1 (IgG1) mAb in CHO-K1 cells using dual expression vectors.

Strategic feeding of NS0 and CHO cell cultures to control glycan profiles and immunogenic epitopes of monoclonal antibodies

The control of glycosylation profiles is essential to the consistent manufacture of therapeutic monoclonal antibodies that may be produced from a variety of cell lines including CHO and NS0. Of particular concern is the potential for generating non-human epitopes such as N-glycolylneuraminic acid (Neu5Gc) and Galα1−3 Gal that may be immunogenic. We have looked at the effects of a commonly used media supplements of manganese, galactose and uridine (MGU) on Mab production from CHO and NS0 cells in enhancing galactosylation and sialylation as well as the generation of these non-human glycan epitopes.In the absence of the MGU supplement, the humanized IgG1 antibody (Hu1D10) produced from NS0 cells showed a low level of mono- and di-sialylated structures (SI:0.09) of which 75 % of sialic acid was Neu5Gc. The chimeric human-llama Mab (EG2-hFc) produced from CHO cells showed an equally low level of sialylation (SI: 0.12) but the Neu5Gc content of sialic acid was negligible (<3%). Combinations of the MGU supplements added to the production cultures resulted in a substantial increase in the galactosylation of both Mabs (up to GI:0.78 in Hu1D10 and 0.81 in EG2-hFc). However, the effects on sialylation differed between the two Mabs. We observed a slight increase in sialylation of the EG2-hFc Mab by a combination of MG but it appeared that one of the components (uridine) was inhibitory to sialylation. On the other hand, MG or MGU increased sialylation of Hu1D10 substantially (SI:0.72) with an increase that could be attributed predominantly to the formation of Neu5Ac rather than Neu5Gc.The increased level of galactosylation observed with MG or MGU was attributed to an activation of the galactosyl transferase enzymes through enhanced intracellular levels of UDP-Gal and the availability of Mn2+ as an enzymic co-factor. However, this effect not only increased the desirable beta 1−4 Gal linkage to GlcNAc but unfortunately in NS0 cells increased the formation of Galα1−3 Gal which was shown to increase x3 in the presence of combinations of the MGU supplements.Supplementation of media with fetal bovine serum (FBS) increased the availability of free Neu5Ac which resulted in a significant increase in the sialylation of Hu1D10 from NS0 cells. This also resulted in a significant decrease in the proportion of Neu5Gc in the measured sialic acid from the Mab.

Predictive macroscopic modeling of cell growth, metabolism and monoclonal antibody production: Case study of a CHO fed-batch production

We describe a systematic approach to establish predictive models of CHO cell growth, cell metabolism and monoclonal antibody (mAb) formation during biopharmaceutical production. The prediction is based on a combination of an empirical metabolic model connecting extracellular metabolic fluxes with cellular growth and product formation with mixed Monod-inhibition type kinetics that we generalized to every possible external metabolite. We describe the maximum specific growth rate as a function of the integral viable cell density (IVCD). Moreover, we also take into account the accumulation of metabolites in intracellular pools that can influence cell growth. This is possible even without identification and quantification of these metabolites as illustrated with fed-batch cultures of Chinese Hamster Ovary (CHO) cells producing a mAb. The impact of cysteine and tryptophan on cell growth and cell productivity was assessed, and the resulting macroscopic model was successfully used to predict the impact of new, untested feeding strategies on cell growth and mAb production. This model combining piecewise linear relationships between metabolic rates, growth rate and production rate together with Monod-inhibition type models for cell growth did well in predicting cell culture performance in fed-batch cultures even outside the range of experimental data used for establishing the model. It could therefore also successfully be applied for in silico prediction of optimal operating conditions.

Control of surge tanks for continuous manufacturing of monoclonal antibodies.

Surge tanks are critical but often overlooked enablers of continuous bioprocessing. They provide multiple benefits including dampening of concentration gradients and allowing process resumption efforts in case of equipment failure or unexpected deviations, which can occur during a continuous campaign of weeks or months. They are also useful in enabling steady-state operation across a continuous train by facilitating mass balance between unit operations such as chromatography which have periodic loading and elution cycles. In this paper, we propose a design of a system of surge tanks for a monoclonal antibody (mAb) production process consisting of cell culture, clarification, capture chromatography, viral inactivation, polishing chromatography, and single-pass ultrafiltration and diafiltration. A Python controller has been developed for robust control of the continuous train. The controller has four layers, namely data acquisition, process scheduling, deviation handling, and real-time execution. A set of general guidelines for surge tank placement and sizing have been proposed together with process control strategies based on the design space of the individual unit operations, failure modes analysis of the different equipment, and expected variability in the process feed streams for both fed-batch and perfusion bioreactors. The control system has been successfully demonstrated for several continuous runs of up to 36 h in duration and is able to leverage surge tanks for robust control of the continuous train in the face of product variability as well as process errors while maintaining critical quality attributes. The proposed set of strategies for surge tank control are adaptable to most continuous processing setups for mAbs, and together form the first framework that can fully realize the benefits of surge tanks in continuous bioprocessing.

Epitope-directed monoclonal antibody production using a mixed antigen cocktail facilitates antibody characterization and validation

High quality, well-validated antibodies are needed to mitigate irreproducibility and clarify conflicting data in science. We describe an epitope-directed monoclonal antibody (mAb) production method that addresses issues of antibody quality, validation and utility. The workflow is illustrated by generating mAbs against multiple in silico-predicted epitopes on human ankyrin repeat domain 1 (hANKRD1) in a single hybridoma production cycle. Antigenic peptides (13–24 residues long) presented as three-copy inserts on the surface exposed loop of a thioredoxin carrier produced high affinity mAbs that are reactive to native and denatured hANKRD1. ELISA assay miniaturization afforded by novel DEXT microplates allowed rapid hybridoma screening with concomitant epitope identification. Antibodies against spatially distant sites on hANKRD1 facilitated validation schemes applicable to two-site ELISA, western blotting and immunocytochemistry. The use of short antigenic peptides of known sequence facilitated direct epitope mapping crucial for antibody characterization. This robust method motivates its ready adoption for other protein targets.

The role of protein hydrolysates in prolonging viability and enhancing antibody production of CHO cells.

Four independent mAb-producing CHO cell lines were grown in media supplemented with one of seven protein hydrolysates of animal and plant origin. This generated a 7x4 matrix of replicate cultures which was analysed for viable cell density and mAb productivity. In all cultures, a consistent growth rate was shown in batch culture up to 4 to 5 days. Differences between cultures appeared in the decline phase which was followed up to 7 days beyond the start of the cultures. There was a marginal but significant overall increase(x1.1) in the integral viable cell density (IVCD) in the presence of hydrolysate but a more substantial increase in the cell-specific mAb (qMab) productivity (x1.5). There were individual differences between hydrolysates in terms of enhancement of mAb productivity, the highest being a 166% increase of mAb titre (to 117 mg/L) in batch cultures of CHO-EG2 supplemented with UPcotton hydrolysate. The effect of one of the most active hydrolysates (HP7504) on antibody glycosylation was investigated. This showed no change in the predominant seven glycans produced but a significant increase in the galactosylation and sialylation of some but not all the antibodies. Overall, the animal hydrolysate, Primatone and two cotton-derived hydrolysates provided the most substantial benefit for enhanced productivity. The cotton-based hydrolysates can be viewed as valuable supplements for animal-derived component-free (ADCF) media and as a source for the investigation of chemically defined bioactive components. KEY POINTS: • Protein hydrolysates enhanced both IVCD & qMab; the effect on qMab being consistently greater. • Cotton-based hydrolysates showed high bioactivity and potential for use in serum-free media. • Enhanced galactosylation and sialylation was shown for some of the Mabs tested.

Osmolality Effects on CHO Cell Growth, Cell Volume, Antibody Productivity and Glycosylation.

The addition of nutrients and accumulation of metabolites in a fed-batch culture of Chinese hamster ovary (CHO) cells leads to an increase in extracellular osmolality in late stage culture. Herein, we explore the effect of osmolality on CHO cell growth, specific monoclonal antibody (mAb) productivity and glycosylation achieved with the addition of NaCl or the supplementation of a commercial feed. Although both methods lead to an increase in specific antibody productivity, they have different effects on cell growth and antibody production. Osmolality modulation using NaCl up to 470 mOsm kg−1 had a consistently positive effect on specific antibody productivity and titre. The addition of the commercial feed achieved variable results: specific mAb productivity was increased, yet cell growth rate was significantly compromised at high osmolality values. As a result, Feed C addition to 410 mOsm kg−1 was the only condition that achieved a significantly higher mAb titre compared to the control. Additionally, Feed C supplementation resulted in a significant reduction in galactosylated antibody structures. Cell volume was found to be positively correlated to osmolality; however, osmolality alone could not account for observed changes in average cell diameter without considering cell cycle variations. These results help delineate the overall effect of osmolality on titre and highlight the potentially negative effect of overfeeding on cell growth.

Process and operations strategies to enable global access to antibody therapies.

Few monoclonal antibodies are currently approved for treating infectious diseases, but multiple products are in development against a broad range of infectious diseases, including Ebola, influenza, hepatitis B, HIV, dengue, and COVID-19. The maturity of mAb technologies now allow us to identify and advance neutralizing mAb products to the clinic at "pandemic pace", as the pipeline of mAbs targeting SARS-CoV-2 has demonstrated. Ensuring global access to these products for passive immunization, however, will require both low manufacturing cost and multi-ton production capacity-particularly for those infectious diseases where the geographic burden falls mostly in low- and middle-income countries or those with pandemic potential. Analysis of process economics and manufacturing technologies for antibody and other parenteral protein therapeutics demonstrates the importance of economies of scale to reducing the cost of goods for drug substance manufacturing. There are major benefits to convergence on a standardized platform process for antibody production that is portable to most existing very large-scale facilities, carries low risk for complications during process transfer and scale-up, and has a predictable timeline and probability of technical and regulatory success. In the case of an infectious disease with pandemic potential which could be treated with an antibody, such as COVID-19 or influenza, these advantages are paramount.

Near Infrared Spectroscopy as a PAT tool for monitoring and control of protein and excipient concentration in ultrafiltration of highly concentrated antibody formulations

Excipient concentrations are critical quality attributes of monoclonal antibody (mAb) drug products and affect their safety and efficacy. In manufacturing processes, mAb products are formulated into the buffer containing the desired excipients using ultrafiltration (UF) and diafiltration (DF). Control of excipient concentrations is a challenge during high concentration UF due to electrostatic interactions which lead to excipient concentration drifts. This challenge is of increasing importance due to the growing preference towards high concentration subcutaneous drug formulations over conventional intravenous formulations in the biotherapeutic industry. Excipient concentrations are currently measured using offline RP-HPLC which is time-consuming and not suited for real time control. We propose a novel process analytical technology (PAT) tool for monitoring and control of mAb and excipients in high concentration UF using Near Infrared Spectroscopy (NIRS). The NIRS is able to monitor concentrations within ±1% for mAb and ±2% for two common excipients, L-histidine and acetate. A Python-based controller uses real time concentration data to deliver concentrated excipient stock solutions to the UF reservoir whenever the excipient concentrations drift out of range. The PAT control system is able to achieve the target formulation without manual intervention or at-line analysis and is well-suited for implementation in mAb manufacturing platforms.

Tracing production instability in a clonally derived CHO cell line using single-cell transcriptomics.

A variety of mechanisms including transcriptional silencing, gene copy loss, and increased susceptibility to cellular stress have been associated with a sudden or gradual loss of monoclonal antibody (mAb) production in Chinese hamster ovary (CHO) cell lines. In this study, we utilized single-cell RNA-seq (scRNA-seq) to study a clonally derived CHO cell line that underwent production instability leading to a dramatic reduction of the levels of mAb produced. From the scRNA-seq data, we identified subclusters associated with variations in the mAb transgenes and observed that heavy chain gene expression was significantly lower than that of the light chain across the population. Using trajectory inference, the evolution of the cell line was reconstructed and was found to correlate with a reduction in heavy and light chain gene expression. Genes encoding for proteins involved in the response to oxidative stress and apoptosis were found to increase in expression as cells progressed along the trajectory. Future studies of CHO cell lines using this technology have the potential to dramatically enhance our understanding of the characteristics underpinning efficient manufacturing performance as well as product quality.

Machine Learning Attempts for Predicting Human Subcutaneous Bioavailability of Monoclonal Antibodies.

One knowledge gap related to subcutaneous (SC) delivery is unpredictable and variable bioavailability. This study was aimed to develop machine learning methods to predict whether mAb's bioavailability was ≥70% or below, without completely knowing the mechanism and causality between inputs and outputs. A database of mAb SC products was built. The model training and validation were accomplished based on this database and a set of the inputs (product properties) were mapped to the output (bioavailability) using different machine learning algorithms. Dimensionality reduction was undertaken using principal component analysis (PCA). The bioavailability of the mAb products being investigated varied from 35% to 90%. The tree-based methods, including random forest (RF), Adaptive Boost (AdaBoost), and decision tree (DT) presented the best predictability and generalization power on bioavailability classification. The models based on Multi-layer perceptron (MLP), Gaussian Naïve Bayes (GaussianNB), and k nearest neighbor (kNN) algorithms also provided acceptable prediction accuracy. Machine learning could be a potential tool to predict mAb's bioavailability. Since all input features were acquired using theoretical calculations and predictions rather than experiments, the models may be particularly applicable to some early-stage research activities such as mAb molecule triage, design/optimization, mutant screening, molecule selection, and formulation design.

InVivo Reoxidation Kinetics of Free Thiols in Multiple Domains of IgG1 Antibodies in Rats.

While free thiols in monoclonal antibodies (mAbs) have been extensively characterized by invitro studies to probe its effect on antibody function and stability, their invivo biotransformation has not been comprehensively studied. In this study, a panel of five recombinant IgG1 mAbs with elevated free thiols in the VH, VL, and CH2 domains were intravenously administered into Wistar rats. Invivo biotransformation of thirty-five free thiol sites in total (7 disulfide pairs in VL, CL, VH, CH1, HH, CH2, CH3 domains across the 5 mAbs) were monitored using a denaturing differential isotopic tagging procedure on immunopurified timepoints followed by LC-MS of tryptic digests. The free thiol levels in two VH domain and one CH2 domain disulfide sites decreased invivo following first order kinetics. Free thiol levels of the remaining 32 sites were remarkably stable invivo. Further analytical characterization highlighted a positive association between a free thiol's solvent accessibility and a free thiol's reoxidation propensity. The data and discussion presented here shed valuable insights into the invivo fate of free thiols in several recombinant IgG1s and its implications for free thiols as a product quality attribute in therapeutic mAb products.

MAb Production Modeling and Design Space Evaluation Including Glycosylation Process

Due to high demand, monoclonal antibodies (mAbs) production needs to be efficient, as well as maintaining a high product quality. Quality by design (QbD) via predictive process modeling greatly facilitates process understanding and can be used to adjust process parameters to further improve the unit operations. In this work, mechanistic and dynamic kriging models are developed to capture the protein productivity and glycan fractions under different temperatures and pH levels. The design of experiments is used to generate input and output data for model training. The dynamic kriging model shows good performance in capturing the dynamic profiles of cell cultures and glycosylation using only limited input data. The developed model is further used for feasibility analysis, and successfully identifies the operating design space, maintaining high productivity and guaranteed product quality.

Understanding the effect of increased cell specific productivity on galactosylation of monoclonal antibodies produced using Chinese hamster ovary cells

Achieving optimal productivity and desired product quality of the therapeutic monoclonal antibody (mAb) is one of the primary goals of process development. Across the various mAb programs at our company, we observed that increasing the specific productivity (qp) results in a decrease in the % galactosylation (%Gal) level on the protein. In order to gain further insight into this correlation, cells were cultured under different process conditions such as pH or media osmolality or in the presence of supplements such as sodium butyrate. A range of qp and N-glycan profiles were obtained with the greatest changes observed under high pH (lower qp, higher %Gal), higher osmolality (higher qp, lower %Gal) or sodium butyrate (moderately higher qp, moderately lower %Gal) conditions. Abundance of individual glycan species highlighted different bottlenecks in the N-glycosylation pathway depending on the treatment condition. Transcriptomics analysis was performed to identify changes in gene expression profiles that correlate with the inverse relationship between qp and %Gal. Results showed downregulation of Beta-1,4-galactosyltransferase 1 (B4GalT1), UDP-GlcNAc and Mn2+ transporter (slc35a3 and slc39a8 respectively) for the high osmolality conditions. Significant downregulation of slc39a8 (Mn2+ transporter) was observed for the sodium butyrate condition. No significant differences were observed for any of the genes in the N-glycosylation pathway under the high pH condition even though this condition showed highest %Gal. Together, data suggests that different treatments have distinct complex mechanisms by which the overall glycan levels of a mAb are influenced. Further studies based on these results will help build the knowledge necessary to design strategies to obtain the desired productivity and product quality of mAbs.

Optimization of a transient antibody expression platform towards high titer and efficiency.

Transient gene expression (TGE) using mammalian cells is an extensively used technology for the production of antibodies and recombinant proteins and has been widely adopted by both academic and industrial labs. Chinese Hamster Ovary (CHO) cells have become one of the major workhorses for TGE of recombinant antibodies due to their attractive features: post-translational modifications, adaptation to high cell densities, and use of serum-free media. In this study, we describe the optimization of parameters for TGE for antibodies from CHO cells. Through a matrix evaluation of multiple factors including inoculum, transfection conditions, amount and type of DNA used, and post-transfection culture conditions, we arrived at an uniquely optimized process with higher titer and reduced costs and time, thus increasing the overall efficiency of early antibody material supply. We further investigated the amount of coding DNA used in TGE and the influence of kinetics and size of the transfection complex on the in vitro efficiency of the transfection. We present here the first report of an optimized TGE platform using Filler DNA in an early drug discovery setting for the screening and production of therapeutic mAbs.

Pilot-scale demonstration of an end-to-end integrated and continuous biomanufacturing process.

There has been increasing momentum recently in the biopharmaceutical industry to transition from traditional batch processes to next-generation integrated and continuous biomanufacturing. This transition from batch to continuous is expected to offer several advantages which, taken together, could significantly improve access to biologics drugs for patients. Despite this recent momentum, there has not been a commercial implementation of a continuous bioprocess reported in the literature. In this study, we describe a successful pilot-scale proof-of-concept demonstration of an end-to-end integrated and continuous bioprocess for the production of a monoclonal antibody (mAb). This process incorporated all of the key unit operations found in a typical mAb production process, including the final steps of virus removal filtration, ultrafiltration, diafiltration, and formulation. The end-to-end integrated process was operated for a total of 25 days and produced a total of 4.9 kg (200 g/day or 2 g/L BRX/day) of the drug substance from a 100-L perfusion bioreactor (BRX) with acceptable product quality and minimal operator intervention. This successful proof-of-concept demonstrates that end-to-end integrated continuous bioprocessing is achievable with current technologies and represents an important step toward the realization of a commercial integrated and continuous bioprocessing process.

CFD based mass transfer modeling of a single use bioreactor for production of monoclonal antibody biotherapeutics

In this study, Euler-Euler coupled computational fluid dynamics (CFD), species transport and population balance model (PBM) simulations have been used to model multiphase hydrodynamics and mass (O2) transfer in a single use bioreactor (SUB) for mAb production. In simulations, drag was estimated by Schiller-Neuman equations. O2(g) local volume fraction was estimated via species transport model (STM). The PBM equations were solved using quadrature method of moments (QMOM) to get bubble size distribution (BSD) and thereby the Sauter mean diameter,d32. Also, the mean diameter over surface (d21) and De Brouckere mean (d43) were estimated for calculation of the BSD. The mass transfer coefficient (kLa) was predicted using species transport model (STM) and Higbie’s penetration theory. The experimental estimation of kLa was performed via simplified dynamic pressure method. Total stress (τ) and energy dissipation rate (ε) were estimated as 34.17 Pa and 1.352 m2.s−3, respectively. Calculations of the d32, d21 and d43 indicate that the BSD becomes more dispersed with increase in agitation speed at all aeration rates. Further, the kLa values of STM were within 0.47% to 4.21% of experimental data. In summary, with error between 4 and 10%, the proposed approach offers better visualization of O2 transport mechanism across gas–liquid interface than conventional approaches.

Quantification of glycated IgG in CHO supernatants: A practical approach.

Post‐translational, nonenzymatic glycation of monoclonal antibodies (mAbs) in the presence of reducing sugars (in bioprocesses) is a widely known phenomenon, which affects protein heterogeneity and potentially has an impact on quality, safety, and efficacy of the end product. Quantification of individual glycation levels is compulsory for each mAb therapeutically applied in humans. We therefore propose an analytical method for monitoring glycation levels of mAb products during the bioprocess. This is a useful tool for process‐design considerations, especially concerning glucose‐feed strategies and temperature as major driving factors of protein glycation. In this study, boronate affinity chromatography (BAC) was optimized for determination of the glycation level of mAbs in supernatants. In fact, the complex matrix found in supernatants is an underlying obstacle to use BAC, but with a simple clean‐up step, we found that the elution profile could be significantly improved so that qualitative and quantitative determination could be reached. Complementary analytical methods confirmed the performance quality, including the correctness and specificity of the results. For quantitative determination of mAb glycation in supernatants, we established a calibration procedure for the retained mAb peak, identified as glycated antibody monomers. For this approach, an available fully characterized mAb standard, Humira®, was successfully applied, and continuous monitoring of mAbs across three repetitive fed‐batch processes was finally performed. With this practical, novel approach, an insight was obtained into glycation levels during bioprocessing, in conjunction with glucose levels and product titer over time, facilitating efficient process development and batch‐consistency monitoring.

Analysis of Target Molecules towards Anti-cancer Therapeutic Antibodies

Target molecules of existing anti-cancer therapeutic monoclonal antibodies (mAbs) are divided into 1) receptor-type tyrosine kinases, such as human epidermal growth factor receptor (HER) family, 2) differentiation antigens, such as CD20 (Rituxan target), 3) angiogenesis-related molecules, and 4) immune checkpoint molecules (PD-1, etc.). We have recently reported a novel therapy targeting lymphangiogenesis, but not angiogenesis, using an anti-LYVE-1 (lymphatic vessel endothelial hyaluronan receptor 1) mAb. At present, many transporters are not considered to be target molecules for the cancer therapy; however, our study strongly suggested that the inhibition of cancer metabolism by mAbs against amino acid transporters will play a significant role in future cancer therapies. Most anti-cancer therapeutic mAbs bind cell-surface molecules on viable cancer cells: therefore, it is necessary to produce mAbs recognizing epitopes on the extracellular domains of native and non-denatured proteins. We concluded that viable cancer cells or cells transfected with cDNA encoding target proteins are suitable immunogens for the production of anti-cancer therapeutic mAbs. We introduce our efforts to develop seeds for therapeutic mAbs using whole cancer cells and transfectants as the immunogen. As many target candidates in the future are multi-pass membrane proteins, such as 12-pass amino acid transporter proteins belonging to the solute carrier (SLC) family, and their possible immunogenic extracellular regions are small, the production of specific mAbs is highly difficult. In this review, we summarize the successful preparation and characterization of mAbs recognizing the extracellular domain of oncoproteins, including transporters.