Research
Open Access

An engineered autotransporter-based surface expression vector enables efficient display of Affibody molecules on OmpT-negative E. coli as well as protease-mediated secretion in OmpT-positive strains

  • Filippa Fleetwood†1,
  • Ken G Andersson†1,
  • Stefan Ståhl1 and
  • John Löfblom1Email author
†Contributed equally
Microbial Cell Factories201413:179

https://doi.org/10.1186/s12934-014-0179-z

©  Fleetwood et al.; licensee BioMed Central. 2014

Received: 26 September 2014

Accepted: 9 December 2014

Published: 30 December 2014

Abstract

Background

Cell display technologies (e.g. bacterial display) are attractive in directed evolution as they provide the option to use flow-cytometric cell sorting for selection from combinatorial libraries. The aim of this study was to engineer and investigate an expression vector system with dual functionalities: i) recombinant display of Affibody libraries on Escherichia coli for directed evolution and ii) small scale secreted production of candidate affinity proteins, allowing initial downstream characterizations prior to subcloning. Autotransporters form a class of surface proteins in Gram-negative bacteria that have potential for efficient translocation and tethering of recombinant passenger proteins to the outer membrane. We engineered a bacterial display vector based on the E. coli AIDA-I autotransporter for anchoring to the bacterial surface. Potential advantages of employing autotransporters combined with E. coli as host include: high surface expression level, high transformation frequency, alternative promoter systems available, efficient translocation to the outer membrane and tolerance for large multi-domain passenger proteins.

Results

The new vector was designed to comprise an expression cassette encoding for an Affibody molecule, three albumin binding domains for monitoring of surface expression levels, an Outer membrane Protease T (OmpT) recognition site for potential protease-mediated secretion of displayed affinity proteins and a histidine-tag for purification. A panel of vectors with different promoters were generated and evaluated, and suitable cultivation conditions were investigated. The results demonstrated a high surface expression level of the different evaluated Affibody molecules, high correlation between target binding and surface expression level, high signal-to-background ratio, efficient secretion and purification of binders in OmpT-positive hosts as well as tight regulation of surface expression for the titratable promoters. Importantly, a mock selection using FACS from a 1:100,000 background yielded around 20,000-fold enrichment in a single round and high viability of the isolated bacteria after sorting.

Conclusions

The new expression vectors are promising for combinatorial engineering of Affibody molecules and the strategy for small-scale production of soluble recombinant proteins has the potential to increase throughput of the entire discovery process.

Keywords

Affibody molecule Bacterial display Directed evolution Combinatorial protein engineering AIDA-I Autotransporter FACS Secreted protein production E. coli Phage display

Background

Protein engineering using combinatorial libraries is a well-established approach for selection of specific affinity proteins (e.g. recombinant antibody fragments). Selections from such libraries are commonly performed using various display technologies (e.g. phage display), creating a physical link between phenotype and genotype [1]. Cell surface display technologies (e.g. yeast and bacterial display) have several properties that are suitable for library applications, such as the convenience of using self-amplifying living cells [2]. The large particle size combined with a multivalent display format is particularly important since it allows for single cells to be sorted using fluorescence-activated cell sorting (FACS), enabling real-time visualization of the selection process, and quantitative isolation of high-affinity binders [3]. This is not possible using for example phage or ribosome display. We have previously developed a Gram-positive bacterial display technology based on expression of recombinant proteins on the surface of Staphylococcus carnosus [4,5]. The selection system has been successfully employed for generation of high-affinity single domain antibodies [6] and other alternative affinity proteins, including Affibody molecules [4,7-9]. Affibody molecules are based on a small three-helical domain (58 aa) with advantageous properties such as high thermal stability, rapid and reversible folding, high solubility, no cysteines, flexible pharmacokinetics and high tolerance for multiple mutations [10-12]. In a number of previous studies, a wide array of specific Affibody molecules with high affinity for various antigens has been selected using phage display, Gram-positive bacterial display and ribosome display [4,7,13]. A common challenge with all microbial-displayed combinatorial libraries is to reach a sufficiently high number of transformants during library construction. Gram-negative bacteria, such as Escherichia coli, are typically demonstrating higher transformation frequencies than for example yeast or Gram-positive bacteria and have the same potential as phage display for creation of really large libraries [14-16]. E. coli also has a rapid growth rate [17] and is the most well-characterized host for expression of recombinant proteins and is hence attractive for library applications. In this study, we therefore sought to design and evaluate an E. coli display method for Affibody libraries to complement the existing toolbox of technologies for engineering of new Affibody molecules.

Several formats for display of recombinant proteins and peptides on E. coli have been described previously [18-26]. However, although E. coli has several valuable properties, one of the major challenges is to enable the recombinant protein of interest to successfully cross two membranes and tether to the outer membrane [27]. In Gram-negative bacteria, a natural solution for secreting proteins to the cell surface is the autotransporter system [28]. The secreted protein consists of an N-terminal signal peptide followed by the passenger protein and a C-terminal β-domain. The signal peptide mediates transport of the unfolded protein sequence through the inner membrane to the periplasm using the sec apparatus [29]. Transit through the periplasm and secretion through the outer membrane is a complex process, involving several chaperones [30-32]. Briefly, the β-domain is inserted into the outer membrane where it forms a β-barrel pore structure, through which the passenger protein is transported to the cell surface [30-32]. In addition to the efficient transport mechanism of passenger proteins through both membranes, autotransporters are attractive alternatives for surface display of recombinant proteins because of their reported high surface expression levels [33]. A high surface expression has potential to yield a large signal-to-background ratio in the flow cytometer, and consequently a more efficient sorting of positive variants. Various autotransporters have been used for the display of different recombinant proteins, including disulphide-containing proteins [32,34].

In this study, we used the autotransporter Adhesin Involved in Diffuse Adherence (AIDA-I), which is a natural plasmid-encoded autotransporter of some enteropathogenic E. coli strains [35-37]. Importantly, AIDA-I has previously been successfully used for display of several different recombinant passenger proteins, which was encouraging for our efforts [33]. Earlier studies include for example work on toxins [22], enzymes, [38-41], and small libraries for engineering of enzyme inhibitors [33,42]. The Z domain from staphylococcal protein A has also been successfully used as a model passenger protein of AIDA-I in a study on optimization of bioreactor cultivation conditions [43], as well as for signal amplification in an immunoaffinity biosensor assay [44]. However, these methods were not intended and not evaluated for combinatorial protein engineering by FACS, and lacked for example strategies for normalization of the surface expression level. The first example of a modified autotransporter in combinatorial protein engineering of new affinity proteins was reported by Skerra and coworkers, describing the work on sortings from an anticalin library that was displayed using the autotransporter EspP [23]. More recently, another group displayed a nanobody library in fusion to the autotransporter EhaA and selected binders using magnetic beads [24]. The previous work demonstrates the potential for autotransporters in library applications. However, we are not aware of any reported use of AIDA-I for combinatorial protein engineering of affinity proteins.

In this study, an expression vector for display on E. coli was designed and engineered to comprise a subcloning site for Affibody molecules in fusion to the AIDA-I autotransporter. The expression cassette also included a surface expression reporter tag for normalization of target binding signal against expression levels during FACS. We investigated various promoters as well as different parameters for expression to find suitable culturing conditions for the constructs. The most promising vector was used for surface display of a panel of Affibody molecules with diverse specificities and FACS-mediated selection from a mock library efficiently enriched target-binding bacteria from a non-binding background. Furthermore, a straightforward strategy for small-scale protein production of soluble candidates using the same expression vector was explored. In summary, we have designed and evaluated new expression vector systems for Affibody molecules, which are intended for both display of combinatorial libraries as well as small-scale production of soluble proteins. We believe the expression systems have potential to further advance the discovery process of future Affibody reagents.

Results and discussion

Design and construction of dual-purpose expression vector

In order to investigate the use of AIDA-I for display of Affibody molecules on the surface of E. coli, an expression vector was designed based on the pMK90 vector [45], encoding the aidA autotransporter gene (except the native passenger) under control of the constitutive aidA promoter [36] (Figure 1A). The expression vector encoded for a signal peptide from AIDA-I for translocation of the recombinant protein through the inner membrane, and the AIDA-I C-terminal β-domain for translocation of the recombinant protein through the outer membrane and display on the bacterial surface (Figure 1A). An IgG-specific Affibody molecule (ZIgG) was inserted between the signal peptide and the β-domain as model Affibody molecule for the study. An albumin binding protein (ABP) was fused on the C-terminal side of the Affibody and intended to function as a reporter tag for monitoring of the surface expression level of individual bacteria. It has previously been shown that normalization of target binding against surface expression level during FACS dramatically increases the ability to discriminate binders of different affinities [46]. ABP contains three albumin-binding domains derived from streptococcal protein G [47], and would hence serve as a long spacer that would minimize potential steric hindrance between the Affibody molecule and the target protein from the bulky cell surface (Figure 1A). As illustrated in Figure 1B-C, the expression vector was also engineered to potentially enable small-scale secretion-based production of selected affinity protein candidates after selection. An OmpT protease site was therefore introduced between the Affibody and the ABP, intended for protease-mediated release of the affinity protein into the medium during cultivation in an OmpT-positive E. coli strain (Figure 1A-C). A His6-tag was also introduced to facilitate purification of the secreted product (Figure 1A-C). The dual-purpose expression vector was transformed to OmpT-negative E. coli BL21(DE3) and the functionality of the IgG-specific Affibody molecule as well as the ABP was investigated using flow-cytometric analysis. The functionality of the displayed ZIgG was confirmed by the binding of biotinylated IgG (monitored by the binding of phycoerythrin-conjugated streptavidin to the biotinylated IgG, represented on the Y axis of the dot plot in Figure 2A). The IgG binding signal was normalized against the surface expression level by monitoring of the binding of Alexa Fluor 647-HSA conjugate to the ABP in the displayed construct (represented on the X axis in Figure 2A). The results demonstrated that the recombinant bacteria were indeed able to simultaneously bind fluorescently labeled IgG and HSA, indicating that both ZIgG and ABP were functionally displayed on the E. coli outer membrane and the normalization strategy worked as intended (Figure 2A).
Figure 1

Schematic illustration of the expression cassette, including the recombinant protein to be displayed on E. coli as well as the optional process for selection from displayed libraries or secreted production. A. The expression cassette (EC) contains a promoter region, a signal peptide for translocation over the inner membrane, an Affibody molecule as binding protein, a His-tag for purification, an OmpT cleavage site for secretion, a surface expression reporter-tag for normalization and the AIDA-C for insertion into the outer membrane. AIDA-I numbering is according to the UniProt accession number Q03155 (http://www.uniprot.org). B. The recombinant fusion protein expressed in two different strains of E. coli. In an OmpT negative strain the recombinant protein remains tethered in the outer membrane and thus displayed on the bacterial surface, allowing for phenotype-genotype linkage and FACS. In an OmpT positive strain, OmpT will cleave the recombinant protein and release the Affibody molecule fused to a His-tag into the medium. C. Schematic drawing of a potential workflow using E. coli display for selecting Affibody molecules from libraries using FACS. After selection of new Affibody variants, the expression vector is transformed into an OmpT positive strain that results in protease-mediated secretion of candidates for downstream characterization.

Figure 2

Different inducible promoters compared to the constitutive aidA promoter for surface expression of recombinant protein. A. Representative dot plot from flow-cytometric analysis of E. coli BL21 (paidA-ZIgG-EC). Fluorescence intensity corresponding to IgG-binding on the y-axis and fluorescence intensity corresponding to surface expression level (HSA-binding) on the x-axis. B. The different inducible promoters AraBAD, RhaBAD and T7 before the expression cassette (EC). C. Representative dot plot from flow-cytometric analysis of E. coli BL21 (pRhaBAD-ZIgG-EC). D. Representative dot plot from flow-cytometric analysis of E. coli BL21 (pAraBAD-ZIgG-EC).

Construction of expression vectors with inducible promoters

The natural AIDA-I promoter (aidA) is a constitutive promoter (Additional file 1: Table S1), which might result in problems with growth bias in future selections from bacterial-displayed libraries, as has been reported for other E. coli display technologies [48,49]. The expression cassette was therefore subcloned to three alternative vectors, containing inducible promoters (T7, araBAD and rhaBAD), and the new expression vectors were evaluated using flow cytometry (Figure 2B). The T7 promoter in combination with the BL21(DE3) strain is a well-established and strong promoter for overexpression of recombinant proteins, but is practically non-titratable (Additional file 1: Table S1) [50]. The araBAD and rhaBAD promoters are in contrast titratable promoters, enabling relatively precise control over the protein expression levels [51,52] (Additional file 1: Table S1). In general, high levels of displayed recombinant proteins are desirable for achieving a high fluorescent signal in the flow cytometer, but overexpression of recombinant membrane proteins might also cause issues with toxicity [48-50]. The surface expression level, monitored by the binding of HSA to ABP, and the binding of IgG to ZIgG, were analyzed by flow cytometry. Although bacteria with the T7 promoter were expressing recombinant protein on the surface, the vector was not further evaluated due to issues with low cell viability, substantially decreased growth rate and occasional loss of surface expression (data not shown). Similar problems have previously been reported with recombinant overexpression of membrane proteins and are likely due to saturation of the secretion pathway and connected toxicity [49,50]. The expression vectors containing the araBAD and the rhaBAD promoters demonstrated no toxicity-related issues and were therefore used in the further investigations (Figure 2C). Flow-cytometric analysis of non-induced controls yielded dramatically lower fluorescent signals, indicating that the observed fluorescence from the induced samples originated from specific interactions between recombinant Affibody molecules and fluorescently labeled target proteins on the bacterial surface (Additional file 2: Figure S1A).

Evaluation of cultivation conditions

Next, we explored the range of suitable cultivation conditions using the two vectors that resulted in appropriate surface expression of the recombinant Affibody molecules. Induction time and temperature were evaluated by flow-cytometric analysis after induction in LB medium for 1 h, 3 h, 6 h and 16 h, at 25°C, 30°C and 37°C, respectively (Additional file 3: Figure S2A). The effect of inductor concentration was evaluated using different concentrations of L-arabinose and L-rhamnose (0.01%, 0.1%, 0.2%, 0.4%, 0.6%, 0.8% and 1.0%) (Additional file 3: Figure S2B). The screening revealed that both vectors should be induced for at least 3 hours for sufficient surface expression and no dramatic differences in expression were observed between 25°C, 30°C and 37°C. Still, induction at higher temperatures yielded in general a somewhat increased surface expression level (Additional file 3: Figure S2A). It should also be noted that the higher expression at 37°C for arabinose-induced cultures resulted in more non-expressing bacteria, which is an indication of overexpression-induced toxicity (Additional file 3: Figure S2A). The evaluation of various inductor concentrations demonstrated that 0.1% of either arabinose or rhamnose was sufficient for surface display of Affibody molecules (Additional file 3: Figure S2B). Under these conditions, the cell population was relatively uniform and well separated from the background, and the non-expressing population was in general small (Additional file 3: Figure S2). A clear correlation between IgG-binding fluorescence intensity and surface expression level was also observed, suggesting that the distribution in target-binding signal was mainly the result from variation in surface expression level among different cells (Additional file 3: Figure S2). It should be noted that the rhaBAD promoter requires addition of glucose to the medium for tight regulation, which might complicate extended assays that have a potential risk of glucose depletion [52]. Hence, to minimize such problems in future sortings of bacterial libraries, we used the araBAD promoter in the evaluations of the technology for isolation of bacterial clones with FACS.

Estimation of display level

An estimation of the number of displayed recombinant proteins per cell was performed by a direct comparison to staphylococcal cells displaying ZIgG on the surface [4]. The display level of recombinant staphylococci has previously been determined to around 10,000 copies per cell [53]. Comparison of the ZIgG-displaying E. coli to the staphylococci using flow cytometry revealed a higher mean fluorescence intensity for the recombinant E. coli, indicating that the display level was >10,000 copies per cell on average (Additional file 2: Figure S1B).

Enzymatic detection of surface display

In order to confirm the display of the recombinant protein on the E. coli surface using a non-flow cytometric approach, an enzymatic assay was performed. Cells displaying ZIgG were labeled with biotinylated IgG, followed by HRP-conjugated streptavidin. The IgG binding was detected by addition of substrate, and the absorbance was measured at 370 nM. Non-induced cells as well as cells labeled with only secondary reagents were included as negative controls. Almost a 4-fold higher binding signal was observed for the IgG-displaying E. coli cells compared to the negative controls, hence supporting the results from the flow-cytometric analysis (Additional file 4: Figure S3).

Display of Affibody molecules with different target specificities

The flow-cytometric analysis demonstrated that the IgG-specific Affibody molecule was well expressed on the E. coli surface and retained its binding capacity to IgG. To verify that other Affibody molecules with diverse specificities and sequences also could be functionally displayed on the bacteria, the genes encoding three unrelated Affibody molecules (targeting TNF-α, HER3 and HER2, respectively) were subcloned into the expression vector and transformed to E. coli BL21 (DE3). Bacteria expressing the three different Affibody molecules were analyzed by flow cytometry and the assay demonstrated that all three were displayed at a high level on the surface and recognized their respective targets (Figure 3A). The results thus suggested that the display system was suitable for display of Affibody molecules with different target specificities, which was encouraging for future library applications.
Figure 3

Surface expression of different Affibody molecules on E. coli and fluorescence-activated cell sorting from spiked library. A. Representative dot plots from flow-cytometric analysis of E. coli BL21 (pAraBAD-ZHER2-EC), (pAraBAD-ZHER3-EC) and (pAraBAD-ZTNFα-EC), respectively. Fluorescence intensity corresponding to target-binding on the y-axis and fluorescence intensity corresponding to surface expression level (HSA-binding) on the x-axis. B. Representative dot plots from flow-cytometric sorting of a 1:100,000 mix of E. coli BL21 (pAraBAD-ZIgG-EC) in a background of E. coli BL21 (pAraBAD-ZHER2-EC). Leftmost dot plot shows the mixed population before FACS with the sorting gate indicated in the dot plot. Rightmost dot plot shows the enriched bacteria after sorting and overnight growth. The percentage (mean ± standard deviation) of events in the upper right (UR) quadrant is indicated in the dot plots. The entire experiment was performed in duplicates on different days, using freshly prepared mixtures of bacteria expressing ZHER2 and ZIgG, and freshly prepared reagents. C. Viability test after FACS. Bacterial colonies after sorting 100 (10 x 10 pattern) single bacterial cells directly on a plate containing semi-solid medium with antibiotics and overnight incubation at 37°C. The viability assay was performed in triplicates on different days.

Investigation of enrichment factor by FACS

Flow-cytometric sorting was thereafter performed in order to investigate the ability to enrich target-binding bacteria from a large non-binding background population. Bacteria displaying ZIgG on the surface were mixed at a ratio of 1:100,000 with cells displaying the HER2-specific Affibody molecule (ZHER2). For enrichment of ZIgG-displaying cells, one round of flow-cytometric cell sorting was performed using labeled IgG (Figure 3B). Sorted cells were collected and amplified by cell growth over night followed by determination of the enrichment using flow cytometry. The analysis demonstrated that the binding population in the upper right quadrant had increased to approximately 21 ± 11%, corresponding to an enrichment factor of around 20,000-fold in one cycle (Figure 3B).

Investigation of cell viability after flow-cytometric cell sorting

Multiple sorting rounds are usually required for enrichment of high-affinity binders from large libraries and the possibility to amplify isolated clones by cell growth in between the cycles greatly facilitates the engineering process. However, high-speed cell sorting subjects the particles in the flow to relatively high shear stress, which might influence the viability of the bacteria. The degree of viability of the bacterial cells was hence investigated by high-speed sorting of recombinant E. coli directly onto plates with semi-solid medium, containing selective antibiotics. After overnight incubation, the number of formed colonies was counted and the results revealed that around 90% (87 ± 9%) of sorted bacteria were viable after FACS and able to grow into colonies (Figure 3C and Additional file 2: Figure S1C). Together with the high enrichment factor, the results from the viability assay suggested that the E. coli display technology has a high potential for future engineering of new Affibody molecules by FACS.

Evaluation of OmpT-mediated release and small-scale purification of displayed recombinant proteins

Production and purification of soluble protein is necessary for downstream characterization of candidates selected from microbial-displayed libraries, and usually requires subcloning to a new expression vector. To potentially circumvent this step and improve the throughput of the entire protein engineering process, we included a His6-tag and an OmpT site for release of the affinity protein into the medium upon expression in OmpT positive strains (Figure 1). The His6-tag was included to enable straightforward purification of the released affinity protein from the medium using IMAC. The efficiency of OmpT digestion for release of displayed protein into the medium was evaluated by transformation of the display vector into the OmpT positive strain E. coli DH5α (Invitrogen). Flow-cytometric analysis showed a dramatic reduction in target-binding signal in OmpT-positive bacteria, indicating that the ZIgG had been proteolytically processed and released into the medium (Figure 4A). The surface expression level signal (monitored by the binding of fluorescently labeled HSA to ABP) was also somewhat reduced, potentially due to unspecific OmpT cleavage. The supernatant was purified using IMAC and SDS-PAGE revealed one band corresponding to the theoretical size and no detectable contaminants (Figure 4B). No bands were observed from samples with OmpT-negative bacteria or the non-induced controls, indicating that the purified protein corresponded to the recombinant Affibody molecule and that it was secreted by OmpT-mediated proteolysis (Figure 4B). The purified protein was analyzed by ESI-LC/MS, confirming that the product had the expected molecular weight, indicating a specific proteolytic release (Figure 4C). The concentration was estimated using UV spectrophotometry and the yield was calculated to around 3 ± 0.5 mg/l shake flask cell culture, which is usually sufficient for initial downstream characterization of selected Affibody candidates prior to subcloning for large scale production of the most promising variants. Moreover, the binding of ZIgG to IgG was analyzed in a biosensor assay to verify that the function of the protein was not affected by the proteolytic digestion and purification strategy. IgG was immobilized on the chip surface and purified ZIgG was injected at different concentrations followed by monitoring of the response. The results from the assay showed retained binding capacity of the proteolytically released Affibody molecule, indicating that the described secretion approach might be valuable in the future for rapid production of selected candidates after FACS without the need for subcloning (Figure 4D). The successful OmpT-mediated release of functional ZIgG also confirmed the display of the recombinant proteins on the bacterial surface.
Figure 4

Evaluation of OmpT-mediated release and small-scale purification of displayed Affibody molecule. A. Flow-cytometric analysis for comparison of surface expression of recombinant proteins between pAraBAD-ZIgG-EC in OmpT-negative E. coli BL21 and pAraBAD-ZIgG-EC in OmpT-positive E. coli DH5α. B. SDS-PAGE showing IMAC-purified supernatants from pAraBAD-ZIgG-EC in OmpT-negative E. coli BL21 and pAraBAD-ZIgG-EC in OmpT-positive E. coli DH5α. Supernatants from non-induced samples, indicated with (−), were included as controls. C. Mass spectrum from ESI-MS analysis of IMAC-purified supernatants from pAraBAD-ZIgG-EC in OmpT-positive E. coli DH5α. Theoretical molecular weight of the OmpT-cleaved ZIgG-His6 is 9712 Da. D. SPR-based biosensor analysis on the IMAC-purified ZIgG-His6. Response units (RU) on the y-axis and time on the x-axis. Representative sensorgrams from injection of ZIgG-His6 at three different concentrations over human IgG immobilized on the chip surface. Injections were performed in duplicates.

Conclusions

We have investigated the AIDA-I autotransporter for display of Affibody molecules on E. coli and demonstrated efficient FACS-mediated enrichment of bacteria expressing target-binding Affibody molecules from a non-binding background population. Moreover, we showed that the same expression vector could be used for efficient small-scale production of soluble proteins, which were secreted into the medium. Secretion was achieved by insertion of an OmpT recognition site into the construct, resulting in proteolytic release of recombinant protein from the cell surface in OmpT-positive strains. The secretion was investigated using flow cytometry, IMAC, SDS-PAGE and mass spectrometry and the results demonstrated that the strategy yielded pure soluble proteins of correct size and retained binding functionality at a yield of around 3 mg purified protein per liter cell culture. Although secretion of recombinant proteins to the medium is typically more complicated in Gram-negative bacteria compared to other hosts [54], it has been demonstrated in previous studies [22,55]. For example, Sevastsyanovich and co-workers used a serine protease autotransporter from Enterobacteriaceae for successful secretion of various proteins [55]. The mechanism for secretion in their system was based on intramolecular cleavage of the translocated protein and therefore required no additional protease [55]. However, although it might be more efficient for soluble secretion, it requires mutation of the cleavage site for achieving surface display. In contrast, the approach used in our study allowed for either display on the outer membrane or secretion of soluble product into the supernatant by simply switching host strain. Maurer and co-workers used OmpT for release of recombinant passenger protein into the supernatant [22]. However, unlike the system presented in this study, their method was not intended for combinatorial protein engineering and small-scale protein production for downstream characterization of selected variants. In combinatorial protein engineering applications, it has potential to increase the throughput of future selections and downstream characterizations of Affibody molecules. A reduction in surface expression level of ABP observed in the flow-cytometric analysis indicated that unspecific cleavage of OmpT might occur. However, this did not affect the purity or size of the cleaved ZIgG detected by SDS-PAGE and mass spectrometry. The site for unspecific cleavage could potentially be mapped and mutated in order to avoid any problems for future applications.

Four different promoters were evaluated in the study and the results showed that the titratable rhamnose and arabinose promoters were highly suitable for recombinant expression of Affibody molecules on E. coli. Flow-cytometric analysis showed a high surface expression level and high correlation between target binding and surface expression level, suggesting that ABP is appropriate as normalization tag in this system. In total, the recombinant fusion protein comprised four independently folded domains (i.e. one Affibody and three albumin-binding domains) as well as a His-tag and an OmpT-site, confirming that the AIDA-I autotransporter is efficient for translocation and tethering of relatively large and multidomain proteins. The analysis also revealed a high signal-to-background ratio, which is promising for future sorting of libraries. Indeed, we observed around 20,000-fold enrichment after one cycle when sorting target-binding bacteria from a 1:100,000 background. In combinatorial protein engineering, high cell viability after sorting is important in order to avoid time-consuming re-transformation steps or extended sortings to reach sufficient oversampling. We sorted the recombinant E. coli directly onto semi-solid medium and the viability assay revealed that around 90% of sorted cells could form colonies. The high viability indicated that the integrity of the outer cell membrane was not severely affected by the display of our recombinant protein construct. The viability was higher than reported in other similar studies [23] and might potentially be the result of the non-toxic surface expression levels that are achievable using the titratable promoters. Skerra and coworkers have previously evaluated AIDA-I along with a few other autotransporters for display of anticalines, demonstrating more promising results for the EspP [23]. In this study, we showed that AIDA-I can be used for efficient display of Affibody molecules under the control of a tightly regulated and titratable promoter. We found that the cultivation conditions and the choice of promoter had an impact on display level and cell viability. For example, the use of the aidA promoter resulted in a considerably higher degree of non-displaying cells compared to inducible promoters, and the T7 promoter had a severe negative impact on the cell viability. The results also indicate that many different types of autotransporters will probably be suitable for recombinant display, but each might require an independent optimization of cultivation conditions.

In summary, we have demonstrated that the engineered expression vectors are efficient for surface display of various Affibody molecules on E. coli as well as for secreted production of soluble recombinant proteins. In combination with the high transformation frequency of E. coli, the AIDA-I-based system has potential to be a powerful future complement to existing methods (e.g. phage and staphylococcal display) for generation of new Affibody molecules.

Methods

Bacterial strains

Escherichia coli strain RR1∆M15 [56] and E. coli strain DH5α (Invitrogen, Carlsbad, CA) were used for subcloning work. E. coli strain BL21 (DE3) (Merck, Darmstadt, Germany) was used for cell surface display. E. coli DH5α (Invitrogen) was used for OmpT-mediated release of recombinant protein into the medium.

Construction of expression vectors

DNA fragments encoding ZIgG, His6, OmpT cleavage site and ABP were subcloned into the vector pMK90 [45], containing parts of the aidA gene under control of the aidA promoter [36]. The native passenger has been deleted from pMK90, and the AIDA-I sequence comprises: the natural AIDA-I signal peptide (49 aa), a linker region (78 aa), and the entire β-barrel domain (440 aa) [45]. The ZIgG-His6 DNA fragment was amplified by PCR using Phusion polymerase (Finnzymes, Espoo, Finland). The reverse primer was designed to contain an OmpT cleavage site on the C-terminal side of the ZIgG sequence, and a mutation of a lysine in position 49 to glutamine in order to delete a potential OmpT cleavage site in ZIgG. The pMK90 plasmid and the PCR-amplified ZIgG-His6-OmpT fragment were digested with XmaI and XbaI (New England Biolabs, Beverly, MA, USA). The plasmid and PCR fragment were ligated using a T4 DNA ligase (New England Biolabs), and transformed to E. coli DH5α cells (Invitrogen) by heat shock. Plasmids were prepared using a QIAprep minispin kit (Qiagen, GmbH, Hilden, Germany). Sequences were confirmed by sequencing using BigDye thermo cycle sequencing reactions (Applied Biosystems, Foster City, CA) and a DNA sequencer ABI Prism® 3730 Analyzer (Applied Biosystems).

The gene encoding the albumin-binding protein (ABP; three albumin-binding domains from streptococcal protein G) was amplified by PCR from pSCZ1 [4] using specific primers and Phusion polymerase (Finnzymes). The PCR fragment and the pMK90ZIgGHisOmpT vector were digested with XbaI (New England Biolabs). The vector was first dephosphorylated using Antarctic Phosphatase (New England Biolabs) and purified by phenol chloroform extraction. The dephosphorylated and purified vector and the ABP fragment were ligated using T4 DNA ligase (New England Biolabs). The ligated vector was transformed into E. coli DH5α electrocompetent cells (Invitrogen), and plasmids were prepared using a QIAprep minispin plasmid preparation kit (Qiagen). Two potential OmpT protease cleavage sites in the ABP sequence were mutated (K51Q and K126Q) using QuikChange multi mutation kit (Stratagene, Heidelberg, Germany) according to the supplier’s recommendations.

The expression cassette, containing sequences encoding AIDA-I, ZIgG, His6, OmpT site and ABP, was amplified by PCR using the pMK90-ZIgG-His6-OmpT-ABP as template, and was subcloned into the plasmids pET-26b(+) (Merck, Darmstadt, Germany), pBAD33 [51] and pRHA67K (Xbrane Bioscience, Stockholm, Sweden). Correct clones were transformed to E. coli BL21 (DE3) (Merck), or DH5α (Invitrogen) using heat shock. The new expression vectors were denoted pAraBAD-Z-EC, pRhaBAD-Z-EC, paidA-Z-EC and pT7-Z-EC, respectively.

Cultivation of recombinant E. coli

Colonies of E. coli BL21 (DE3) (Merck) containing the display vectors were inoculated to Luria Bertani (LB) medium containing appropriate antibiotics and grown for 16 hours at 37°C and 150 rpm. An aliquot of the culture was diluted 1:100 and cultivated at 37°C and 150 rpm until absorbance at 600 nm (A600) reached 0.5. Recombinant protein expression was induced by addition of appropriate inductor (0.6% L-arabinose for all experiments carried out after the evaluation of cultivation conditions), or no inductor for non-induced negative controls, and grown at 25–37°C for 3 – 16 hours.

Flow-cytometric analysis

An aliquot of approximately 108 recombinant bacteria was added to 1×PBSP (phosphate-buffered saline (PBS) with 0.1% Pluronic F108 NF surfactant (BASF Corporation, Mount Olive, NJ)), pelleted by centrifugation (15000 g, 6 min, 4°C), re-suspended in 22 nM biotinylated human polyclonal IgG, and incubated at room temperature with gentle mixing for 45 min. Cells were then washed with ice-cold 1xPBSP, re-suspended in 10 μg/ml streptavidin conjugated with R-Phycoerythrin (Invitrogen) and 150 nM Alexa Fluor 647-Human Serum Albumin (HSA) conjugate, and incubated on ice for 30 min. The samples were then washed with ice-cold 1×PBSP, resuspended in 1×PBSP, and analyzed using a Gallios™ flow cytometer (Beckman Coulter, Inc., Indianapolis, IN, USA).

Investigation of cultivation conditions

E. coli BL21 (DE3) (Merck) cells containing the pAraBAD-Z-EC and pRhaBAD-Z-EC vectors, respectively, were cultivated as described above. Induction temperature and induction time were investigated by induction for 1 h, 3 h, 6 h or 16 h at 37°C, 30°C or 25°C, respectively. For each sample, a non-induced control was included. Different concentrations of L-arabinose and L-rhamnose were investigated by induction using various concentrations (0.01%, 0.1%, 0.2%, 0.4%, 0.6%, 0.8% and 1.0%). Surface expression level and target binding was analyzed for all samples by flow cytometry as described above and the experiments were performed in duplicates on different days using freshly prepared samples and reagents.

Estimation of display level

For estimation of the display level, recombinant S. carnosus cells displaying ZIgG were cultivated as previously described [4], and labeled for flow cytometry in parallel to E. coli cells displaying ZIgG under the control of the AraBAD promoter, induced with 0.6% L-arabinose overnight at 25°C.

Enzymatic detection of surface display

E. coli BL21 (DE3) (Merck) cells containing the pAraBAD-Z-EC vector were cultivated as described above, and induced with 0.6% L-arabinose at 25°C overnight. A non-induced sample was included as a negative control. Cells were labeled with biotinylated IgG as described for the flow-cytometric analysis, followed by streptavidin-HRP (Dako, Glostrup, Denmark) as a secondary reagent. Detection of IgG binding was performed by resuspending the cells in 3,3′, 5,5′ Tetramethylbenzidine (TMB) substrate (Sigma), and the absorbance was measured at 370 nm using a Fluostar Omega plate reader (BMG Labtech, Germany). The experiment was performed in triplicates.

Display of Affibody molecules with different target specificities

DNA fragments encoding the Affibody molecules: ZHER3 (Z05416, [7]), ZHER2 (Z0342, [57]) and ZTNFα (ZTNFα-1 [4]) were amplified by PCR, and digested with NheI and XmaI restriction enzymes (New England Biolabs). The digested fragments were ligated into the pAraBAD-Z-EC, digested with the same enzymes using T4 DNA ligase (New England Biolabs), and transformed into E. coli RR1∆M15 [56]. Plasmids were prepared using a Jetstar Plasmid Maxiprep Kit (Genomed, Bad Oeynhausen, Germany) and transformed into E. coli BL21 (DE3) (Merck). Flow-cytometric analysis was performed as described above, but using biotinylated HER3 (R&D Systems), HER2 (R&D Systems), and TNFα (R&D Systems), respectively. The experiment was performed in duplicates on different days using freshly prepared samples and reagents.

FACS

Recombinant E. coli BL21 (DE3) (pAraBAD-ZIgG-EC) displaying ZIgG (cultured and induced as above) were mixed at a ratio of 1:100 000 with E. coli BL21 (DE3) (pAraBAD-ZHER2-EC) displaying the Affibody molecule ZHER2. Labeling of approximately 108 cells with IgG for flow cytometry was performed as described above. One round of sorting was performed using a MoFlo Astrios flow cytometer (Beckman Coulter). Sorted cells were collected in an eppendorf tube containing LB medium, and incubated at 37°C for 1 h before inoculation to LB supplemented with 0.05 mg/ml chloramphenicol and cultivation overnight, followed by induction and labeling for flow-cytometric analysis. The experiment was performed in duplicates on different days using freshly prepared samples and reagents. In addition, 100 cells were sorted using a MoFlo Astrios flow cytometer (Beckman Coulter) using typical library sorting settings directly onto a TBAB plate containing 0.02 mg/ml chloramphenicol, and incubated at 37°C overnight.

Evaluation of OmpT-mediated release of ZIgG into the medium

The expression vector pAraBAD-ZIgG-EC was transformed into OmpT positive E. coli DH5α (Invitrogen) using electroporation. OmpT negative E. coli BL21(DE3) containing pAraBAD-ZIgG-EC as well as non-induced cultures of both strains were included as controls in the experiment. Bacteria were cultivated and induced as described above. Cells were pelleted by centrifugation at 16000 g, 4°C for 10 min. The supernatant was filtered (0.45 μm) followed by immobilized metal ion affinity chromatography (IMAC) using PD-10 columns (GE Healthcare, Uppsala, Sweden) containing 6 ml of HisPur™ Cobalt Resin (ThermoScientific, Rockford, USA). After loading the supernatant, the column was washed with 18 ml wash buffer (15 mM imidazole, 50 mM Na(P) 300 mM NaCl), followed by elution using PBS containing 0.5 M imidazole. The imidazole was removed using PD-10 desalting columns (GE Healthcare) Protein concentration was estimated using UV-spectrophotometry for calculation of yield. The experiment was performed in duplicates on different days using freshly prepared samples and reagents. The eluate was analyzed by SDS-PAGE (BioRad, Berkley, CA, USA) and ESI-LC/MS using an Agilent 6520 ESI-Q-TOF LC/MS instrument (Agilent Technologies, Santa Clara, CA, USA). The binding of purified ZIgG to IgG was analyzed in an SPR-based biosensor assay using a Biacore 3000 instrument (GE Healthcare). Human IgG was immobilized by amine coupling on a CM5 chip (GE Healthcare, Uppsala, Sweden), and 1 nM, 2.5 nM and 5 nM purified ZIgG was injected for 200 s, and allowed to dissociate for 1800 s.

Notes

Declarations

Acknowledgements

This work was supported by a grant (621-2012-5336) from the Swedish Research Council (VR), and by the ProNova VINN Excellence Center for Protein Technology. Prof. Gen Larsson (School of Biotechnology, KTH, Stockholm, Sweden) and Dr. Martin Gustavsson (School of Biotechnology, KTH, Stockholm, Sweden) are acknowledged for material and scientific advice.

Authors’ Affiliations

(1)
Division of Protein technology, School of Biotechnology, KTH Royal Institute of Technology

References

  1. Sergeeva A, Kolonin M, Molldrem J, Pasqualini R, Arap W: Display technologies: Application for the discovery of drug and gene delivery agents. Adv Drug Deliv Rev 2006, 58:1622–1654.View ArticleGoogle Scholar
  2. Daugherty PS, Iverson BL, Georgiou G: Flow cytometric screening of cell-based libraries. J Immunol Methods 2000, 243:211–227.View ArticleGoogle Scholar
  3. Lofblom J: Bacterial display in combinatorial protein engineering. Biotechnol J 2011, 6:1115–1129.View ArticleGoogle Scholar
  4. Kronqvist N, Lofblom J, Jonsson A, Wernerus H, Stahl S: A novel affinity protein selection system based on staphylococcal cell surface display and flow cytometry. Protein Eng Des Sel 2008, 21:247–255.View ArticleGoogle Scholar
  5. Kronqvist N, Malm M, Rockberg J, Hjelm B, Uhlen M, Stahl S, Lofblom J: Staphylococcal surface display in combinatorial protein engineering and epitope mapping of antibodies. Recent Pat Biotechnol 2010, 4:171–182.View ArticleGoogle Scholar
  6. Fleetwood F, Devoogdt N, Pellis M, Wernery U, Muyldermans S, Stahl S, Lofblom J: Surface display of a single-domain antibody library on Gram-positive bacteria. Cell Mol Life Sci 2013, 70:1081–1093.View ArticleGoogle Scholar
  7. Kronqvist N, Malm M, Gostring L, Gunneriusson E, Nilsson M, Hoiden Guthenberg I, Gedda L, Frejd FY, Stahl S, Lofblom J: Combining phage and staphylococcal surface display for generation of ErbB3-specific Affibody molecules. Protein Eng Des Sel 2011, 24:385–396.View ArticleGoogle Scholar
  8. Nilvebrant J, Alm T, Hober S, Löfblom J: Engineering Bispecificity into a Single Albumin-Binding Domain. PLoS ONE 2011, 6.Google Scholar
  9. Lindberg H, Johansson A, Hard T, Stahl S, Löfblom J: Staphylococcal display for combinatorial protein engineering of a head-to-tail affibody dimer binding the Alzheimer amyloid-β peptide. Biotechnol J 2013, 8:139–145.View ArticleGoogle Scholar
  10. Nilsson B, Moks T, Jansson B, Abrahmsen L, Elmblad A, Holmgren E, Henrichson C, Jones TA, Uhlen M: A synthetic IgG-binding domain based on staphylococcal protein A. Protein Eng 1987, 1:107–113.View ArticleGoogle Scholar
  11. Nord K, Gunneriusson E, Ringdahl J, Stahl S, Uhlen M, Nygren PA: Binding proteins selected from combinatorial libraries of an alpha-helical bacterial receptor domain. Nat Biotechnol 1997, 15:772–777.View ArticleGoogle Scholar
  12. Lofblom J, Feldwisch J, Tolmachev V, Carlsson J, Stahl S, Frejd FY: Affibody molecules: Engineered proteins for therapeutic, diagnostic and biotechnological applications. FEBS Lett 2010, 584:2670–2680.View ArticleGoogle Scholar
  13. Grimm S, Yu F, Nygren PA: Ribosome display selection of a murine IgG(1) Fab binding affibody molecule allowing species selective recovery of monoclonal antibodies. Mol Biotechnol 2011, 48:263–276.View ArticleGoogle Scholar
  14. Benatuil L, Perez JM, Belk J, Hsieh CM: An improved yeast transformation method for the generation of very large human antibody libraries. Protein Eng Design Selection 2010, 23:155–159.View ArticleGoogle Scholar
  15. Hanahan D, Jessee J, Bloom FR: Plasmid Transformation of Escherichia-Coli and Other Bacteria. Methods Enzymol 1991, 204:63–113.View ArticleGoogle Scholar
  16. Lofblom J, Kronqvist N, Uhlén M, Stahl S, Wernerus H: Optimization of electroporation-mediated transformation: Staphylococcus carnosus as model organism. J Appl Microbiol 2007, 102:736–747.View ArticleGoogle Scholar
  17. Daugherty PS: Protein engineering with bacterial display. Curr Opin Struct Biol 2007, 17:474–480.View ArticleGoogle Scholar
  18. Francisco JA, Campbell R, Iverson BL, Georgiou G: Production and Fluorescence-Activated Cell Sorting of Escherichia-Coli Expressing a Functional Antibody Fragment on the External Surface. P Natl Acad Sci USA 1993, 90:10444–10448.View ArticleGoogle Scholar
  19. Harvey BR, Georgiou G, Hayhurst A, Jeong KJ, Iverson BL, Rogers GK: Anchored periplasmic expression, a versatile technology for the isolation of high-affinity antibodies from Escherichia coli-expressed libraries. P Natl Acad Sci USA 2004, 101:9193–9198.View ArticleGoogle Scholar
  20. Mazor Y, Blarcom TV, Mabry R, Iverson BL, Georgiou G: Isolation of engineered, full-length antibodies from libraries expressed in Escherichia coli. Nat Biotechnol 2007, 25:563–565.View ArticleGoogle Scholar
  21. Rice JJ, Schohn A, Bessette PH, Boulware KT, Daugherty PS: Bacterial display using circularly permuted outer membrane protein OmpX yields high affinity peptide ligands. Protein Sci 2006, 15:825–836.View ArticleGoogle Scholar
  22. Maurer J, Jose J, Meyer TF: Autodisplay: One-component system for efficient surface display and release of soluble recombinant proteins from Escherichia coli. J Bacteriol 1997, 179:794–804.Google Scholar
  23. Binder U, Matschiner G, Theobald I, Skerra A: High-throughput Sorting of an Anticalin Library via EspP-mediated Functional Display on the Escherichia coli Cell Surface. J Mol Biol 2010, 400:783–802.View ArticleGoogle Scholar
  24. Salema V, Marin E, Martinez-Arteaga R, Ruano-Gallego D, Fraile S, Margolles Y, Teira X, Gutierrez C, Bodelón G, Fernández LA: Selection of Single Domain Antibodies from Immune Libraries Displayed on the Surface of E. coli Cells with Two beta-Domains of Opposite Topologies. PLoS ONE 2013, 8.Google Scholar
  25. Adams TM, Wentzel A, Kolmar H: Intimin-mediated export of passenger proteins requires maintenance of a translocation-competent conformation. J Bacteriol 2005, 187:522–533.View ArticleGoogle Scholar
  26. Becker S, Theile S, Heppeler N, Michalczyk A, Wentzel A, Wilhelm S, Jaeger KE, Kolmar H: A generic system for the Escherichia coli cell-surface display of lipolytic enzymes. FEBS Lett 2005, 579:1177–1182.View ArticleGoogle Scholar
  27. Sandkvist M, Bagdasarian M: Secretion of recombinant proteins by Gram-negative bacteria. Curr Opin Biotechnol 1996, 7:505–511.View ArticleGoogle Scholar
  28. Henderson I, Navarro-Garcia F, Nataro JP: The great escape: structure and function of the autotransporter proteins. Trends Immunol 1998, 6:370–378.Google Scholar
  29. Natale P, Bruser T, Driessen A: Sec- and Tat-mediated protein secretion across the bacterial cytoplasmic membrane—Distinct translocases and mechanisms. Biochim Biophys Acta Biomembr 2008, 1778:1735–1756.View ArticleGoogle Scholar
  30. Ieva R, Bernstein HD: Interaction of an autotransporter passenger domain with BamA during its translocation across the bacterial outer membrane. P Natl Acad Sci USA 2009, 106:19120–19125.View ArticleGoogle Scholar
  31. Sauri A, Soprova Z, Wickstrom D, de Gier JW, Van der Schors RC, Smit AB, Jong WS, Luirink J: The Bam (Omp85) complex is involved in secretion of the autotransporter haemoglobin protease. Microbiology 2009, 155:3982–3991.View ArticleGoogle Scholar
  32. Jong WS, Sauri A, Luirink J: Extracellular production of recombinant proteins using bacterial autotransporters. Curr Opin Biotechnol 2010, 21:646–652.View ArticleGoogle Scholar
  33. Jose J, Meyer TF: The Autodisplay Story, from Discovery to Biotechnical and Biomedical Applications. Microbiol Mol Biol Rev 2007, 71:600–619.View ArticleGoogle Scholar
  34. Ramesh B, Sendra VG, Cirino PC, Varadarajan N: Single-cell characterization of autotransporter-mediated Escherichia coli surface display of disulfide bond-containing proteins. J Biol Chem 2012, 287:38580–38589.View ArticleGoogle Scholar
  35. Benz IS, Schmidt MA: Diffuse adherence of enteropathogenic escherichia coli strains. Res Microbiol 1990, 141:785–786.View ArticleGoogle Scholar
  36. Benz IS, Schmidt MA: Cloning and Expression of an Adhesin (AIDA-I) Involved in Diffuse Adherence of Enteropathogenic Escherichia coli. Infect Immun 1989, 57:1506–1511.Google Scholar
  37. Konieczny MPJ, Benz I, Hollinderbaumer B, Beinke C, Niederweis M, Schmidt MA: Modular organization of the AIDA autotransporter translocator: The N-terminal beta(1)-domain is surface-exposed and stabilizes the transmembrane beta(2)-domain. Anton Leeuw Int J G 2001, 80:19–34.View ArticleGoogle Scholar
  38. Lattemann CT, Maurer J, Gerland E, Meyer TF: Autodisplay: Functional display of active beta-lactamase on the surface of Escherichia coli by the AIDA-I autotransporter. J Bacteriol 2000, 182:3726–3733.View ArticleGoogle Scholar
  39. Jose J, Maas RM, Teese MG: Autodisplay of enzymes-Molecular basis and perspectives. J Biotechnol 2012, 161:92–103.View ArticleGoogle Scholar
  40. Jose J, Bernhardt R, Hannemann F: Cellular surface display of dimeric Adx and whole cell P450-mediated steroid synthesis on E-coli. J Biotechnol 2002, 95:257–268.View ArticleGoogle Scholar
  41. Jose J, von Schwichow S: Autodisplay of active sorbitol dehydrogenase (SDH) yields a whole cell biocatalyst for the synthesis of rare sugars. Chembiochem 2004, 5:491–499.View ArticleGoogle Scholar
  42. Jose J, Betscheider D, Zangen D: Bacterial surface display library screening by target enzyme labeling: Identification of new human cathepsin G inhibitors. Anal Biochem 2005, 346:258–267.View ArticleGoogle Scholar
  43. Gustavsson M, Backlund E, Larsson G: Optimisation of surface expression using the AIDA autotransporter. Microb Cell Fact 2011, 10:72.View ArticleGoogle Scholar
  44. Jose J, Chung JW, Jeon BJ, Maas RM, Nam CH, Pyun JC: Escherichia coli with autodisplayed Z-domain of protein A for signal amplification of SPR biosensor. Biosens Bioelectron 2009, 24:1324–1329.View ArticleGoogle Scholar
  45. Casali N, Konieczny M, Schmidt MA, Riley LW: Invasion Activity of a Mycobacterium tuberculosis Peptide Presented by the Escherichia coli AIDA Autotransporter. Infect Immun 2002, 70:6846–6852.View ArticleGoogle Scholar
  46. Lofblom J, Wernerus H, Stahl S: Fine affinity discrimination by normalized fluorescence activated cell sorting in staphylococcal surface display. FEMS Microbiol Lett 2005, 248:189–198.View ArticleGoogle Scholar
  47. Nygren P-Å, Eliasson M, Abrahmsen L, Uhlén M, Palmcrantz E: Analysis and use of the serum albumin binding domains of streptococcal protein G. J Mol Recognit 1988, 1.Google Scholar
  48. Narayanan N, Chou CP: Physiological improvement to enhance Escherichia coli cell-surface display via reducing extracytoplasmic stress. Biotechnol Prog 2008, 24:293–301.View ArticleGoogle Scholar
  49. Daugherty PS, Olsen MJ, Iverson BL, Georgiou G: Development of an optimized expression system for the screening of antibody libraries displayed on the Escherichia coli surface. Protein Eng 1999, 12:613–621.View ArticleGoogle Scholar
  50. Schlegel S, Lofblom J, Lee C, Hjelm A, Klepsch M, Strous M, Drew D, Slotboom DJ, de Gier JW: Optimizing membrane protein overexpression in the Escherichia coli strain Lemo21(DE3). J Mol Biol 2012, 423:648–659.View ArticleGoogle Scholar
  51. Guzman LM, Belin D, Carson MJ, Beckwith J: Tight Regulation, Modulation, and High-Level Expression by Vectors Containing the Arabinose P-Bad Promoter. J Bacteriol 1995, 177:4121–4130.Google Scholar
  52. Giacalone MJ, Gentile AM, Lovitt BT, Berkley NL, Gunderson CW, Surber MW: Toxic protein expression in Escherichia coli using a rhamnose-based tightly regulated and tunable promoter system. Biotechniques 2006, 40:355–364.View ArticleGoogle Scholar
  53. Andréoni C, Goetsch L, Libon C, Samuelson P, Nguyen TN, Robert A, Uhlén M, Binz H, Ståhl S: Flow cytometric quantification of surface-displayed recombinant receptors on staphylococci. Biotechniques 1997, 23:696–702. 704.Google Scholar
  54. Wargacki AJ, Leonard E, Win MN, Regitsky DD, Santos CN, Kim PB, Cooper SR, Raisner RM, Herman A, Sivitz AB, Lakshmanaswamy A, Kashiyama Y, Baker D, Yoshikuni Y: An engineered microbial platform for direct biofuel production from brown macroalgae. Science 2012, 335:308–313.View ArticleGoogle Scholar
  55. Sevastsyanovich YR, Leyton DL, Wells TJ, Wardius CA, Tveen-Jensen K, Morris FC, Knowles TJ, Cunningham AF, Cole JA, Henderson IR: A generalised module for the selective extracellular accumulation of recombinant proteins. Microb Cell Fact 2012, 11:69.View ArticleGoogle Scholar
  56. Ruther U: pUR 250 allows rapid chemical sequencing of both DNA strands of its inserts. Nucleic Acids Res 1982, 10:5765–5772.View ArticleGoogle Scholar
  57. Orlova A, Magnusson M, Eriksson TL, Nilsson M, Larsson B, Hoiden-Guthenberg I, Widstrom C, Carlsson J, Tolmachev V, Stahl S, Nilsson FY: Tumor imaging using a picomolar affinity HER2 binding affibody molecule. Cancer Res 2006, 66:4339–4348.View ArticleGoogle Scholar

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© Fleetwood et al.; licensee BioMed Central. 2014

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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