Abstract
The method of displaying recombinant proteins on the surface of Saccharomyces cerevisiae via genetic fusion to an abundant cell wall protein, a technology known as yeast surface display, or simply, yeast display, has become a valuable protein engineering tool for a broad spectrum of biotechnology and biomedical applications. This review focuses on the use of yeast display for engineering protein affinity, stability, and enzymatic activity. Strategies and examples for each protein engineering goal are discussed. Additional applications of yeast display are also briefly presented, including protein epitope mapping, identification of protein-protein interactions, and uses of displayed proteins in industry and medicine.
Keywords: Yeast surface display, Protein engineering, Random mutagenesis, DNA shuffling, Affinity maturation, Protein stability engineering, Enzyme engineering
Introduction
The ability to create engineered proteins with enhanced properties, including increased binding affinity, stability, and catalytic activity, has had significant impact on biological research, medicine, and biotechnology. Despite an improved understanding of protein chemistry and folding, it remains challenging to design proteins from first principles. Thus, most strategies rely on combinatorial methods, such as directed evolution, to engineer optimized proteins by applying random or site-directed mutagenesis techniques to generate “libraries” of up to 1014 variants of an individual protein. These protein libraries are then screened in a high-throughput manner to identify amino acid mutations that confer the desired phenotype.
Numerous molecular display platforms have been specifically developed for protein engineering, including tethering libraries of protein variants to ribosomes and mRNA1–5, or to the surface of phage6,7, bacteria8, mammalian9,10, insect11, or yeast12 cells. In the case of cell surface display, each individual cell is transformed with a single vector encoding a protein variant of interest that is genetically fused to a cell-surface anchor protein. The anchor protein contains a signal sequence that directs efficient transport of the fusion protein to the cell surface, where it is immobilized and accessible to the extracellular space. Yeast surface display has become a leading platform for protein engineering due to its collective advantages, including: 1) a eukaryotic expression system capable of incorporating post-translational modifications such as disulfide bond formation, 2) low technical and time requirements relative to other eukaryotic display systems, 3) inclusion of epitope tags, which allows normalization of protein function (e.g., ligand binding) to surface expression and, thus, identification of proteins that both express at high levels and bind with high affinity to a target protein, and 4) compatibility with flow cytometric analysis, which allows quantitative measurements of equilibrium binding constants, dissociation kinetics, stability, and specificity of the displayed proteins without the laborious requirements of soluble protein expression and purification.
This review primarily focuses on the applications of yeast display from a protein engineering perspective, including examples of protein affinity maturation, stability engineering, and enzyme engineering. Other applications of yeast display are briefly reviewed, such as protein epitope mapping, identification of protein-protein interactions, and display of proteins and enzymes on yeast cells for biotechnology and biomedical applications.
Yeast surface display platform
Yeast offer multiple options for cell surface anchor proteins, including Agα1p, Aga2p, Cwp1p, Cwp2p, Tip1p, Flo1p, Sed1p, YCR89w, and Tir113. Fusion of a protein of interest to the C- or N-terminus of an anchor protein typically results in the display of up to 100,000 copies of the fusion protein on the cell surface of Saccharomyces cerevisiae14. The choice of the anchor protein and fusion terminus depends on the protein to be engineered; generally the terminus farthest from the functional portion of the protein should be tethered to the anchor protein to avoid disrupting activity. The most common yeast display system employs fusion of the protein of interest to the C-terminus of the a-agglutinin mating protein Aga2p subunit, a technology pioneered by Boder and Wittrup12 (Figure 1). The yeast surface display construct designed for this system includes two epitope tags: a hemagglutinin (HA) tag between Aga2p and the N-terminus of the protein of interest, and a C-terminal c-myc tag (Figure 1A). Induction of protein expression results in surface display of the fusion protein through disulfide bond formation of Aga2p to the β1,6-glucan-anchored Aga1p domain of a-agglutinin15–17 (Figure 1B). The epitope tags allow quantification of fusion protein expression, and thus normalization of protein function to expression level by flow cytometry using fluorescently labeled antibodies. However, detection of epitope tags yields no information on the fold or function of the protein of interest. Therefore, a ligand or antibody specific for the native fold of the displayed protein must be used to interrogate these properties.
Protein engineering applications using yeast display involve expression of a protein library, which is generated from the underlying genetic material that codes for the protein variants. This connection is known as a genotype-phenotype linkage and must be maintained throughout the protein engineering process so that the desired protein variants can be identified by sequencing following library screening. To create a protein library, diverse genetic material, which can be obtained directly from organisms or generated by mutagenic PCR, is transformed into yeast cells and induction of expression through a GAL promoter leads to surface display of the protein variants. The resulting library can then be screened using flow cytometric sorting (also known as fluorescence-activated cell sorting, or FACS) to isolate yeast displaying proteins with the desired properties. For this purpose, yeast are incubated with fluorescent probes that differentially label the cells based on the biochemical and biophysical properties of their displayed protein (e.g., affinity, stability, specificity, etc.). The yeast cells are then passed single-file through the fluidics stream of a FACS instrument, which analyses and sorts them based on cell size, granularity, and fluorescence measurements. Detailed protocols for library creation and screening have been well described in the field14,18–21.
Phage display and ribosome display techniques take advantage of panning-based methods to efficiently screen libraries as large as 1012–1014 variants. In comparison, yeast display offers lower throughput due to limitations in yeast transformation efficiency and current cell screening technology. The upper limit of library sizes that can currently be screened by FACS is ~108–109 yeast cells, determined by the maximum sampling rate (~50,000 cells per second) of the leading flow cytometry instruments. Moreover, libraries are typically sampled by FACS at higher coverage (e.g., 10x) to increase the probability of sampling each variant at least once. Thus, to increase throughput, yeast-displayed libraries of greater than 108 variants can first be screened using bead-based magnetic-activated cell sorting (MACS) to reduce the library diversity before screening with FACS22,23. In this method, magnetic beads are coated with a soluble target of interest, for example, an antibody or ligand. The beads are then incubated with the yeast library, and yeast displaying non-binding protein variants are removed by washing, after which the yeast binding the desired target are eluted and recovered. This method is advantageous for removing truncated, misfolded, and weak affinity proteins from the library, thereby reducing library diversity to a size that is amenable to quantitative screening by FACS. Finally, while differences between human and yeast glycosylation patterns have typically not prevented functional display of glycosylated human proteins, yeast strains that express human glycosylation machinery have been engineered, and similar technology could potentially be developed for yeast display applications if human glycosylation is desired (see 24–26 for reviews).
Engineering proteins for increased affinity
The affinity a protein has for its binding partner is a key parameter that often regulates the biological function of the bound complex. High binding affinity is a desired characteristic of proteins used for research, therapeutic, and diagnostic applications, and thus multiple strategies for increasing protein affinity (termed “affinity maturation”) have been developed, with the most common involving directed evolution and molecular display technologies. Over the last decade, yeast display has become a leading platform for affinity maturation; in addition to the aforementioned advantages, yeast display can discriminate between proteins with only 2-fold differences in affinity21,27, further illustrating the sensitivity of this approach.
A general strategy of affinity maturation using yeast display involves creation of a library on the order of 107–109 protein variants by random mutagenesis, followed by display of these variants on the surface of yeast as fusions to the Aga2p cell wall protein (Figure 2). Subsequently, two main strategies are used to label the yeast-displayed library prior to sorting by FACS. In the first approach, library members are screened based on their equilibrium dissociation constants (KD)27,28. The yeast-displayed library is incubated with the soluble binding partner (ligand) at a concentration ~5–10-fold greater than the expected KD of the highest affinity variants (typically near the KD of the wild-type interaction), and binding is allowed to reach equilibrium. This method requires at least a 10-fold excess of ligand relative to the number of yeast-displayed protein variants in the binding reaction. If a lower ratio is used, binding may significantly alter the concentration of free ligand in solution, which would result in ligand depletion and non-compliance with rules that govern equilibrium binding isotherms. The second approach uses kinetic competition and screens yeast-displayed variants based on their dissociation rate constants (koff)12,29,30. The library is incubated with a saturating concentration of fluorescently labeled ligand, washed, and then either incubated with 100-fold excess of unlabeled ligand, if available, or incubated in a sufficiently large volume of buffer to prevent rebinding of the labeled ligand after dissociation. This method is primarily used when evolving variants of a protein with a strong starting affinity (KD < 1 nM) that would require inconveniently large incubation volumes to meet the 10-fold excess ligand requirement of the former method, or when the dissociation kinetics are the most important functional characteristic of the desired protein. Regardless of which labeling method is used, high-affinity variants are selected using FACS to isolate cells that exhibit high levels of binding for a given amount of cell surface expression, as measured by a fluorescent antibody against the C-terminal epitope tag and a fluorescently labeled soluble ligand, respectively (Figure 1).
Following each round of cell sorting, two paths can be taken: 1) the selected cells can be amplified in culture and sorted again to further reduce the library diversity to a smaller subset of clones with the highest affinity, or 2) DNA from the selected cells can be extracted and subjected to an another round of mutagenesis (e.g. random mutagenesis or DNA shuffling31) to introduce additional diversity or combine potentially favorable mutations, followed by display of the new library and another round of cell sorting. The latter approach is termed “directed evolution”, and incorporates multiple rounds of mutagenesis and library screening to iteratively evolve proteins with the desired binding characteristics. After the library size is reduced to a smaller pool of high-affinity proteins, the concentration of soluble ligand can be lowered (while still avoiding ligand depletion) to adjust the resolution between the weaker and tighter binding proteins and further aid in selection of variants with the highest affinity. Typically, multiple rounds of mutagenesis and/or library sorting are applied to isolate high-affinity variants with equilibrium dissociation constants in the low nanomolar to picomolar range.
Following library sorting, individual variants can be quantitatively analyzed for their binding properties while still tethered to the yeast cell surface27,28. This is a major advantage of yeast display technology as it allows fast, quantitative comparisons of binding properties without the need for laborious soluble expression and purification of each protein. For this purpose, the enriched library pool is amplified by culturing and is then plated to isolate individual yeast clones that each express a single variant. These individual clones are induced for cell surface expression and tested for binding to varying concentrations of ligand typically ranging from 10-fold above to 10-fold below the expected KD of the displayed variant. Equilibrium binding constants or dissociation kinetics are then determined by flow cytometry27,28. Importantly, many studies have demonstrated that the KD of a protein-protein binding interaction measured on the surface of yeast is essentially equal to the KD measured using soluble proteins32.
Using the general strategies outlined above numerous proteins have been engineered with enhanced affinities for their binding partners, including T cell receptors with greater than 100-fold enhanced affinity for a peptide/MHC ligand33, epidermal growth factor (EGF) with 30-fold enhanced affinity for the EGF receptor34, interleukin-2 (IL-2) with up to 30-fold enhanced affinity for the IL-2 receptor alpha subunit35,36, leptins with up to 60-fold enhanced affinity for the leptin receptor37, an Axl receptor variant with 12-fold enhanced affinity for it’s ligand Gas6 (final KD = 2.7 pM)38, and a signal-regulatory protein α (SIRPα) variant with ~50,000-fold enhanced affinity for CD47 (final KD = 11.1 pM)39,40. Yeast display has also been applied to engineer and affinity mature numerous antibodies, including antibodies against cholera toxin41, FITC22, HIV-1 gp12042, hemagglutinin surface glycoprotein of the H1N1 virus43, HER2/neu44, T cell receptors28, TNF-α45, and a host of other targets (see reference 46 for a review). In a classical demonstration of the technological capabilities afforded by yeast display, a fluorescein binding antibody was engineered with a KD equal to 48 fM and a dissociation rate greater than 1,000-fold lower than the parent antibody30, representing one of the strongest protein binding interactions ever engineered and among the strongest found in nature.
Yeast display technology has also been used to engineer novel non-antibody protein binders against targets of interest. These so-called alternative scaffold proteins have been chosen for protein engineering applications based on positive attributes including stability, amenability to mutation, ease of expression and purification, and binding epitope surface area. Typically, the amino acid sequence of a contiguous solvent exposed region of the scaffold is randomized to generate a “naïve” library, and the library is displayed on the surface of yeast and screened for binding to a target protein using FACS47,48. A number of novel ligands have been engineered using this strategy, including: cysteine knot peptides (knottins) that bind to various integrins with KD values in the picomolar to nanomolar range47,49–53, or that inhibit human matriptase-1 with picomolar to nanomolar inhibition constants (Ki)54; human fibronectin 10th type III domain scaffold55 variants that bind to a variety of protein targets18,56,57, such as lysozyme, with KD values in the nanomolar to picomolar range29,32; green fluorescent protein variants that bind streptavidin-phycoerythrin, biotin-phycoerythrin, glyceraldehyde 3-phosphate dehydrogenase, and a neurotrophin receptor with KD values of 70 nM, 190 nM, 18 nM, and 3.2 nM, respectively58; human kringle domain variants that bind death receptor 4 (DR4), DR5, or TNF-α with KD values of 680 nM, 172 nM, and 29 nM, respectively59; and Sso7d protein variants from the hyperthermophilic archaeon Sulfolobus solfataricus that bind fluorescein, a peptide fragment from β-catenin, hen egg lysozyme, streptavidin, and chicken and mouse immunoglobulins with KD values in the nanomolar to micromolar range60.
In many of the scaffold examples described above, the screening strategy identified a number of high affinity ligands that bound to different epitopes of the target protein. Novel ligands have also been engineered to bind to a specific epitope of the target protein by first selecting all library variants that bind to a wild-type target protein, and then screening the selected pool of binders for variants that do not bind to an epitope-altered form of the target protein. As a recent example, a dengue virus-neutralizing antibody was engineered using yeast display by selecting antibodies from a library that bound to the wild-type viral envelope protein domain III, but not to a form of the target protein with a specific epitope mutated61. Importantly, this strategy is contingent on proper design of the mutant target epitope used for library screening. First, the target epitope must be sufficiently mutated such that ligands that bind to the wild-type epitope will not bind to the mutated form. Second, the mutation(s) must only affect the structure of the protein at the site of the target epitope and must not affect the global fold of the protein, as screening for epitope-specific binders using a completely misfolded mutant competitor would be futile.
Engineering proteins for increased stability
The stability of a protein generally refers to its ability to resist thermal and chemical denaturation and proteolytic degradation. High stability is a desired characteristic of proteins that are used for research, industrial, and therapeutic applications, and translates to longer shelf-life, duration of activity, and in vivo activity. As with binding affinity, thermal stability can be analyzed while a protein variant is still tethered to the yeast cell surface, allowing for rapid, quantitative measurement of half-maximal denaturation (TM) values. Three general strategies have been applied to engineer proteins with increased stability (Figure 3). In each approach, a library on the order of 107–109 protein variants is generated by random mutagenesis and displayed on the surface of yeast as a fusion to the Aga2p cell wall protein.
The first strategy for stability engineering exploits a correlation between the yeast surface expression levels of properly folded proteins and their thermal stability62–64 (Figure 3A). For example, a library of single-chain T-cell receptor (scTCR) variants was expressed on the yeast surface and enriched for cells displaying the highest levels of properly folded protein as determined by binding to a conformationally specific antibody65. When individual protein mutants from this enriched pool of yeast were recombinantly expressed in soluble form and assayed, the most stable scTCR variant retained 80% activity after incubation at 50°C for 30 minutes, whereas the parent scTCR protein retained less than 10% activity under the same conditions. In another example, yeast surface display and library screening were used to identify an epidermal growth factor receptor (EGFR) mutant with a TM of 61.0 ± 1.3°C compared to a TM of 52.5 ± 0.7°C for wild-type EGFR66. Similarly, yeast display was used to identify a single-chain class II major histocompatibility complex protein (scDR1αβ) with a TM of 73.3 ± 1.8°C, whereas display of the properly folded wild-type scDR1αβ protein was barely detectable67. This general strategy has been applied to enhance the stability of numerous other proteins and is reviewed in detail elsewhere68.
Despite the successes described above, using surface expression level as a proxy for protein stability may be better suited for proteins with low inherent thermal stabilities. The correlation between expression level and protein stability is due, in part, to the quality control process that occurs in the endoplasmic reticulum (ER) during protein synthesis and post-translational processing. The ER quality control mechanism ensures efficient export of properly folded proteins, whereas misfolded proteins are retro-translocated across the ER membrane and degraded in the cytosol69,70. This process generally results in inefficient expression of unstable proteins that adopt a higher ratio of misfolded to native structures. However, the observed correlation between yeast surface expression level and stability is likely limited to proteins of low stability, as proteins above a certain stability threshold are generally expected to escape the ER quality control mechanism. In support of this assumption, variants of a highly thermostable three-helix bundle protein α3D with varying Tm values all above 80°C showed no correlation between yeast surface expression level and thermal stability71.
A second strategy for increasing protein stability involves application of heat stress (up to 85 °C for 10 minutes) directly to a yeast-displayed library prior to cell sorting (Figure 3B)65,72,73. This approach may be better suited for proteins with higher inherent thermal stabilities, assuming irreversible denaturation will occur under these experimental conditions. Yeast-displayed variants that resist thermal denaturation are discriminated by FACS, based on their ability to bind to a fluorescently labeled antibody or ligand specific to the native protein fold67. As an example, a library of IgG1-Fc scaffold variants was displayed on yeast and subjected to heat stress (79 °C for 10 minutes)21. Stable IgG1-Fc variants that bound to a conformationally specific antibody or a soluble Fcγ receptor after heat stress were enriched using multiple rounds of FACS, and isolated variants were analyzed for thermal stability. IgG1-Fc variants were identified with increased TM values up to 91.0 ± 0.1°C, compared to a TM of 82.6 ± 0.0°C for wild-type IgG1-Fc. Using this general strategy, a Her2/neu-binding antibody fragment variant was engineered with an increase in TM from ~70 °C (parent IgG1-Fc) to ~75 °C and an increased resistance to aggregation74. Similarly, variants of a monomeric yeast-enhanced green fluorescent protein (GFPM) were engineered with 3- to 6-fold increased resistance to thermal denaturation at 70 °C72. Notably, increased thermal stability did not confer increased yeast-surface expression levels for the GFPM variants, which further supports the addition of a heat stress step to the library screening protocol when engineering proteins with high intrinsic thermostabilities. An important consideration is that although yeast cells remain intact and can be efficiently sorted by FACS even after heat stress (e.g., 72 °C for 90 minutes or 85 °C for 10 minutes)73, their viability is compromised at temperatures above 42 °C75. Thus, after each round of heat stress and sorting, plasmid DNA from yeast cells should be isolated, amplified by PCR, and used to transform viable cells for a subsequent round of screening20,21. Additionally, this strategy involving heat stress is only applicable to proteins/domains that denature irreversibly; refolding after heat stress would prevent discrimination between variants of different thermal stabilities.
Alternatively, a third strategy exists for increasing protein stability that harnesses both the advantages of increased temperature and the quality control mechanisms of the ER to select stable variants. In this method, expression of surface-displayed protein is induced for 24 hours at temperatures up to 37 °C (compared to 20 °C or 30 °C which is typically used) to shift the equilibrium of protein structures toward the misfolded state during protein synthesis and post-translational processing in the ER, while maintaining yeast cell viability. Generally, only proteins that are efficiently folded and processed at the elevated induction temperatures will avoid the ER quality control machinery and be efficiently exported to the cell surface. The library can then be sorted as described in the first strategy (Figure 3A) to select variants with increased stabilities. For example, this strategy was applied to enhance the stability of a scTCR65, and to engineer a hepatocyte growth factor fragment with a 15 °C increase in TM and a 40-fold increase in expression yield relative to the wild-type protein fragment76. In many cases, increased thermal stability also correlates to increased recombinant expression of the soluble form of the protein relative to the wild-type protein66,67,77–80, highlighting an additional benefit of these techniques for protein engineering.
Enzyme engineering
Directed evolution is a powerful technique for enzyme engineering. However, developing a strategy for linking the genotype of an enzyme mutant to its phenotype (e.g., catalytic activity or substrate specificity) poses a difficult challenge since in most cases substrate turnover results in a product that is diffusible and not covalently bound to the surface of a phage or cell. Thus, lower-throughput microtiter or colony based screening methods (103–104 variants) have historically been used for enzyme engineering81–83. Several alternate techniques have recently been developed to address these challenges, including oil-water emulsion methods that encapsulate genetic material, the translated enzyme, and its catalyzed product into droplets that can be sorted by flow cytometry84,85.
More recently, unique strategies incorporating yeast display have allowed libraries of up to 108 enzyme variants to be screened for increased activity and substrate specificity using FACS. In this approach, yeast cells are fluorescently labeled as a result of enzymatic activity, which allows discrimination of enzyme variants based on their level of activity and/or specificity. In one example, a library of horseradish peroxidase (HRP) enzyme variants was differentially labeled based on substrate specificity86. The library was incubated with a fluorescently labeled substrate, which produced a functionalized fluorophore byproduct that covalently attached to tyrosines on the yeast cell surface. As a result, cells displaying the most active HRP variants were labeled with higher levels of fluorophore and subsequently selected by FACS. Using this strategy, an HRP variant with 8-fold altered enantioselectivity was evolved using a combination of positive and negative selection86. A similar strategy was applied to evolve HRP variants with increased selectivity toward either substrate enantiomer by up to 2 orders of magnitude87. In another example, a general strategy for evolving bond-forming enzymes was developed (Figure 4) and applied to identify a bacterial transpeptidase sortase A enzyme with a 140-fold enhancement in catalytic activity88. Yeast display has been applied to enhance the activity and/or substrate selectivity of a variety of other enzymes, including firefly luciferase89, Rhizomucor miehei lipase90, the adenylation domain of a nonribosomal peptide synthetase91, E. coli lipoic acid ligase92, and a Tobacco Etch virus protease93. In general, the success of these strategies was contingent on the enzyme substrate being labeled with an affinity handle or fluorescent probe. Thus, yeast display methodology is currently limited to engineering a subset of enzymes, as not all will be tolerant to such substrate modifications.
Finally, many enzyme engineering examples employ site-directed saturation mutagenesis94 rather than random mutagenesis to generate protein libraries. This directed mutagenesis restricts the amino acid search space to a particular region of interest of the enzyme (typically proximal to the active site), and allows the investigation of every possible combination of mutations at selected amino acid positions. However, the maximum number of these positions one can exhaustively investigate is still limited by the throughput of the FACS instrument used to screen the library. For example, a library comprising every possible combination of amino acids at 6 or 7 sites in an enzyme (206 or 207 variants total) would require ~0.4 or 7 hours to sort at 50,000 cells per second, respectively.
Additional applications
Yeast display has been used for other purposes besides protein engineering, briefly described below, including protein epitope mapping, identification of protein-protein interactions, and generation of “armed” yeast cells for a variety of applications.
Knowledge of the critical contact sites of a protein binding pair that govern their affinity can be adventageous. Two methods for identifying these contact sites, called domain-level95 or fine96 epitope mapping, have been developed using yeast display and applied to a wide range of protein binding pairs. For domain-level epitope mapping, individual domains from one of the binding proteins are displayed on yeast and screened for binding to a soluble version of the other binding partner95. In addition, the competitive binding of two ligands has been tested to identify ligands that share overlapping binding epitopes. In contrast, fine epitope mapping has been used to identify specific amino acids at the binding interface that directly contribute to the binding affinity96. For this method, a protein library is generated using random mutagenesis, displayed on the surface of yeast, and incubated with its wild-type binding partner. Cells displaying weak-binding proteins are then selected and their encoding DNA is sequenced to identify consensus amino acid sites that substantially influence the affinity of the protein pair, and thus, are suggestive of the binding interface location. These strategies have been applied to map the binding epitopes of EGFR-specific antibodies95,96 and engineered EGFR-specific scaffold proteins97, antibodies against H1N143 and H5N198 virus hemagglutinin surface glycoprotein, gp120-binding antibodies99, and other binding pairs as reviewed elsewhere100,101.
Yeast display has also been applied to identify new protein-protein interactions. For example, an adult human testis cDNA library was displayed on yeast and screened for binding to phosphorylated peptides derived from autophosphorylation sites of EGFR and focal adhesion kinase (FAK)102. As a result, binding interactions were discovered between autophosphorylated EGFR sites and the SH2 domains of adapter protein APS and phosphoinositide 3-kinase regulatory subunit 3, as well as between autophosphorylated FAK sites and the SH2 domains of SH2B, tensin, and adapter protein APS102. Similarly, screening of a yeast-displayed human proteome library for binding to a mesothelioma-targeting single-chain variable antibody fragment (scFv) identified the specific cell surface antigen targeted by the scFv103. Yeast display has also been applied to identify interactions between proteins and small molecules. For example, a human cDNA library comprising 2 × 107 cDNA fragments from multiple human tissue samples was displayed on yeast and screened for binding to biotinylated phosphatidylinositides104. As a result, known interactions with pleckstrin homology domains, and a phosphotyrosine-binding domain were identified, and a novel interaction with a fragment of apolipoprotein H was discovered104. These and other protein-protein interactions identified using yeast display have been reviewed elsewhere100,101.
Divergent from protein engineering, yeast display technology has been used to functionalize yeast cells for a variety of biotechnology and biomedical applications, including generation of whole-cell biocatalysts, antimicrobial agents, oral vaccines, and for biosorption of various metals. In one prominent example, microbial conversion of cellulosic biomass into fuels gained substantial interest as a means of establishing a renewable energy source and an alternative to petroleum-based fuel production. Yeast display is an attractive technology for generating biofuel from cellulosic material, as it enables enzyme production, cellulose hydrolysis, and fermentation all in one step by localization of cellulolytic, amylolytic, and xylanolytic enzymes at the yeast cell surface. S. cerevisiae has been engineered using yeast display technology to convert cellulosic material into bioethanol (for reviews, see 105,106). Specifically, yeast cells were engineered to co-display endoglucanase II and β-glucosidase enzymes, and directly fermented 45 g of β-glucan per liter of media to produce 16.5 g of ethanol per liter in approximately 50 hours107. The ratio of grams of ethanol produced to grams of β-glucan utilized was 0.48 g/g (or 93.3% of the theoretical yield). Yeast co-displaying xylanase and β-xylosidase directly fermented xylan from sulfuric acid hydrolysate of wood chips108, and yeast co-displaying glucoamylase and α-amylase directly fermented raw corn starch109. Display of minicellulosomes on the surface of yeast for bioethanol production has also been achieved by simultaneously binding dockerin-tagged endoglucanase, exogluconase, and β-glucosidase enzymes to Aga2p-scaffoldin protein fusions110–113. Yeast cells have also been engineered as whole-cell biocatalysts for various other applications. For example, yeast displaying Rhizopus oryzae lipase were used as whole-cell biocatalysts to generate biodiesel from methanol and soybean oil114; yeast displaying Geotrichum sp. lipase were used to enrich docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) from fish oil115; yeast displaying Corynebacterium diphtheria sialidase were used to transfer sialic acids for glycoprotein remodeling116, and yeast displaying glucose oxidase were used for electrochemical glucose sensing117. Yeast have also been functionalized with antimicrobial peptides118,119, pathogenic proteins for oral vaccine delivery120–122, and metal-binding proteins for bioadsporption of various metals123–129. These and other examples have recently been reviewed69.
Conclusion
Yeast surface display is an effective tool for protein and cellular engineering, and has facilitated countless applications in research, biotechnology, and medicine. In contrast to other technologies such as ribosome and phage display, yeast display offers compatibility with flow cytometric analysis, enabling quantitative on-cell measurements of protein expression level, stability, affinity, and specificity without the need for soluble protein expression and purification steps. Additionally, unlike bacterial and phage display, yeast display provides a eukaryotic expression system capable of producing complex mammalian proteins containing multiple disulfide bonds. This unique combination of advantages has established yeast display as a leading technology for engineering protein stability, expression, and binding interactions, and as an emerging technology for high-throughput enzyme engineering and yeast cell engineering. Furthermore, other than requiring a FACS instrument for quantitative library screening and analysis, yeast display employs standard laboratory equipment and materials for microbial transformation and culture, and libraries can be readily generated and screened by users within a matter of weeks. As the use and applications of yeast display continue to rapidly expand, it will be exciting to see the advances this powerful technology delivers in the years to come.
Acknowledgments
Gerald M. Cherf is supported by the National Cancer Institute of the National Institutes of Health under Award Number F31CA186478, and funding from the Stanford Bioengineering Department. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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