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Current biological research requires simple protein bioseparation methods capable of purifying target proteins in a single step with high yields and purities. Conventional affinity tag-based approaches require specific affinity resins and expensive proteolytic enzymes for tag removal. Purification strategies based on self-cleaving aggregating tags have been previously developed to address these problems. However, these methods often utilize C-terminal cleaving contiguous inteins which suffer from premature cleavage, resulting in significant product loss during protein expression. In this work, we evaluate two novel mutants of the Mtu RecA ΔI-CM mini-intein obtained through yeast surface display for improved protein purification. When used with the elastin-like-polypeptide (ELP) precipitation tag, the novel mutants - ΔI-12 and ΔI-29 resulted in significantly higher precursor content, product purity and process yield compared to the original Mtu RecA ΔI-CM mini-intein. Product purities ranging from 68 % to 94 % were obtained in a single step for three model proteins - green fluorescent protein (GFP), maltose binding protein (MBP) and beta-galactosidase (beta-gal). Further, high cleaving efficiency was achieved after 5 h under most conditions. Overall, we have developed improved self-cleaving precipitation tags which can be used for purifying a wide range of proteins cheaply at laboratory scale., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Biologics such as peptides and proteins possess a number of attractive attributes that make them particularly valuable as therapeutics, including their high activity, high specificity, and low toxicity. However, one of the key challenges associated with this class of drugs is their propensity to aggregate. Given the safety and immunogenicity concerns related to polypeptide aggregates, it is particularly important to sensitively detect aggregates in therapeutic drug formulations as part of the quality control process. Here, we report the development of conformation-specific antibodies that recognize polypeptide aggregates composed of a GLP-1 receptor agonist (liraglutide) and their integration into a sensitive immunoassay for detecting liraglutide amyloid fibrils. We sorted single-chain antibody libraries against liraglutide fibrils using yeast surface display and magnetic-activated cell sorting, and identified several antibodies with high conformational specificity. Interestingly, these antibodies cross-react with amyloid fibrils formed by several other polypeptides, revealing that they recognize molecular features common to different types of fibrils. Moreover, we find that our immunoassay using these antibodies is >50-fold more sensitive than the conventional method for detecting liraglutide aggregation (Thioflavin T fluorescence). We expect that our systematic approach for generating a sensitive, aggregate-specific immunoassay can be readily extended to other biologics to improve the quality and safety of formulated drug products., (© 2020 Wiley Periodicals LLC.)

Hybridoma technology has been valuable in the development of therapeutic antibodies. More recently, antigen-specific B-cell selection and display technologies are also gaining importance. A major limitation of these approaches used for antibody discovery is the extensive process of cloning and expression involved in transitioning from antibody identification to validating the function, which compromises the throughput of antibody discovery. In this study, we describe a process to identify and rapidly re-format and express antibodies for functional characterization. We used two different approaches to isolate antibodies to five different targets: 1) flow cytometry to identify antigen-specific single B cells from the spleen of immunized human immunoglobulin transgenic mice; and 2) panning of phage libraries. PCR amplification allowed recovery of paired V H and V L sequences from 79% to 96% of antigen-specific B cells. All cognate V H and V L transcripts were formatted into transcription and translation compatible linear DNA expression cassettes (LEC) encoding whole IgG or Fab. Between 92% and 100% of paired V H and V L transcripts could be converted to LECs, and nearly 100% of them expressed as antibodies when transfected into Expi293F cells. The concentration of IgG in the cell culture supernatants ranged from 0.05 µg/ml to 145.8 µg/ml (mean = 18.4 µg/ml). Antigen-specific binding was displayed by 78-100% of antibodies. High throughput functional screening allowed the rapid identification of several functional antibodies. In summary, we describe a plasmid-free system for cloning and expressing antibodies isolated by different approaches, in any format of choice for deep functional screening that can be applied in any research setting during antibody discovery.

Engineered proteins are being widely developed and employed in applications ranging from enzyme catalysts to therapeutic antibodies. Directed evolution, an iterative experimental process composed of mutagenesis and library screening, is a powerful technique for enhancing existing protein activities and generating entirely new ones not observed in nature. However, the process of accumulating mutations for enhanced protein activity requires chemical and structural changes that are often destabilizing, and low protein stability is a significant barrier to achieving large enhancements in activity during multiple rounds of directed evolution. Here we highlight advances in understanding the origins of protein activity/stability trade-offs for two important classes of proteins (enzymes and antibodies) as well as innovative experimental and computational methods for overcoming such trade-offs. These advances hold great potential for improving the generation of highly active and stable proteins that are needed to address key challenges related to human health, energy and the environment.

Sensitive detection of protein aggregates is important for evaluating the quality of biopharmaceuticals and detecting misfolded proteins in several neurodegenerative diseases. However, it is challenging to detect extremely low concentrations (<10 ppm) of aggregated protein in the presence of high concentrations of soluble protein. Glucagon, a peptide hormone used in the treatment of extreme hypoglycemia, is aggregation-prone and forms amyloid fibrils. Detection of glucagon fibrils using conformation-specific antibodies is an attractive approach for identifying such aggregates during process and formulation development. Therefore, we have used yeast surface display and magnetic-activated cell sorting to sort single-chain antibody libraries to identify antibody variants with high conformational specificity for glucagon fibrils. Notably, we find several high-affinity antibodies that display excellent selectivity for glucagon fibrils, and we have integrated these antibodies into a sensitive immunoassay. Surprisingly, the sensitivity of our assay-which involves direct (nonantibody mediated) glucagon immobilization in microtiter plates-can be significantly enhanced by pretreating the microtiter plates with various types of globular proteins before glucagon immobilization. Moreover, increased total concentrations of glucagon peptide also significantly improve the sensitivity of our assay, which appears to be due to the strong seeding activity of immobilized fibrils at high glucagon concentrations. Our final assay is highly sensitive (fibril detection limit of ~0.5-1 ppm) and is >20 times more sensitive than detection using a conventional, amyloid-specific fluorescent dye (Thioflavin T). We expect that this type of sensitive immunoassay can be readily integrated into the drug development process to improve the generation of safe and potent peptide therapeutics., (© 2019 Wiley Periodicals, Inc.)

Conventional column chromatography processes to purify recombinant proteins are associated with high production costs and slow volumetric throughput at both laboratory and large scale. Non-chromatographic purifications based on selective aggregating tags have the potential to reduce costs with acceptable protein yields. A significant drawback, however, is that current proteolytic approaches for post-purification tag removal after are expensive and non-scalable. To address this problem, we have developed two non-chromatographic purification strategies that use either the elastin-like polypeptide (ELP) tag or the β-roll tag (BRT17) in combination with an engineered split intein for tag removal. The use of the split intein eliminates premature cleavage during expression and provides controlled cleavage under mild conditions after purification. These self-cleaving aggregating tags were used to efficiently purify β-lactamase (β-lac), super-folder green fluorescent protein (sfGFP), streptokinase (SK) and maltose binding protein (MBP), resulting in increased yields compared to previous ELP and BRT17-based methods. Observed yields of purified targets for both systems typically ranged from approximately 200 to 300 micrograms per milliliter of cell culture, while overall recoveries ranged from 10 to 85 percent and were highly dependent on the target protein.

RNA biology and RNA engineering are subjects of growing interest due to recent advances in our understanding of the diverse cellular functions of RNAs, including their roles as genetic regulators. The noncoding small RNAs (sRNAs) of bacteria are a fundamental basis of regulatory control that can regulate gene expression via antisense base-pairing to one or more target mRNAs. The sRNAs can be customized to generate a range of mRNA translation rates and stabilities. The sRNAs can be applied as a platform for metabolic engineering, to control expression of genes of interest by following relatively straightforward design rules (Kushwaha et al., ACS Synth Biol 5:795-809, 2016). However, the ab initio design of functional sRNAs to precise specifications of gene control is not yet possible. Consequently, there is a need for tools to rapidly profile uncharacterized sRNAs in vivo, to screen sRNAs against "new/novel" targets, and (in the case of metabolic engineering) to develop engineered sRNAs for regulatory function against multiple desired mRNA targets. To address this unmet need, we previously constructed a modular genetic system for assaying sRNA activity in vivo against specifiable mRNA sequences, using microtiter plate assays for high-throughput productivity. This sRNA design platform consists of three modular plasmids: one plasmid contains an inducible sRNA and the RNA chaperone Hfq; the second contains an inducible fluorescent reporter protein and a LacY mutant transporter protein for inducer molecules; and the third plasmid contains a second inducible fluorescent reporter protein. The second reporter gene makes it possible to screen for sRNA regulators that have activity against multiple mRNAs. We describe the protocol for engineering sRNAs with novel regulatory activity using this system. This sRNA prototyping regimen could also be employed for validating predicted mRNA targets of uncharacterized, naturally occurring sRNAs or for testing hypotheses about the predicted roles of genes, including essential genes, in cellular metabolism and other processes, by using customized antisense sRNAs to knock down or tune down gene expression.

Multitargeting small regulatory RNAs (sRNAs) represent a potentially useful tool for metabolic engineering applications. Natural multitargeting sRNAs govern bacterial gene expression by binding to the translation initiation regions of protein-coding mRNAs through base pairing. We designed an Escherichia coli based genetic system to create and assay dual-acting retargeted-sRNA variants. The variants can be assayed for coordinate translational regulation of two alternate mRNA leaders fused to independent reporter genes. Accordingly, we began with the well-characterized E. coli native DsrA sRNA. The merits of using DsrA include its well-characterized separation of function into two independently folded stem-loop domains, wherein alterations at one stem do not necessarily abolish activity at the other stem. Expression of the sRNA and each reporter mRNA was independently controlled by small inducer molecules, allowing precise quantification of the regulatory effects of each sRNA:mRNA interaction in vivo with a microtiter plate assay. Using this system, we semirationally designed DsrA variants screened in E. coli for their ability to regulate key mRNA leader sequences from the Clostridium acetobutylicum n-butanol synthesis pathway. To coordinate intervention at two points in a metabolic pathway, we created bifunctional sRNA prototypes by combining sequences from two singly retargeted DsrA variants. This approach constitutes a platform for designing sRNAs to specifically target arbitrary mRNA transcript sequences, and thus provides a generalizable tool for retargeting and characterizing multitarget sRNAs for metabolic engineering.

The conserved nucleotide binding site (NBS), found within the Fab variable domain of antibodies, remains a not-so-widely known and underutilized site. Here we describe a novel affinity chromatography method that utilizes the NBS as a target for selectively purifying antibodies from complex mixtures. The affinity column was prepared by coupling indole butyric acid (IBA), which has a monovalent affinity for the NBS with a K(d) ranging between 1 and 8 μM, to ToyoPearl resin resulting in the NBS targeting affinity column (NBS(IBA)). The proof-of-concept studies performed using the chimeric pharmaceutical antibody rituximab demonstrated that antibodies were selectively captured and retained on the NBS(IBA) column and were successfully eluted by applying a mild NaCl gradient at pH 7.0. Furthermore, the NBS(IBA) column consistently yielded >95% antibody recovery with >98% purity, even when the antibody was purified from complex mixtures such as conditioned cell culture supernatant, hybridoma media, and mouse ascites fluid. The results presented in this study establish the NBS(IBA) column as a viable small-molecule-based affinity chromatography method for antibody purification with significant implications in industrial antibody production. Potential advantages of the NBS(IBA) platform are improved antibody batch quality, enhanced column durability, and reduced overall production cost.