Previous Article | Next Article ![]()
Applied and Environmental Microbiology, December 2008, p. 7759-7766, Vol. 74, No. 24
0099-2240/08/$08.00+0 doi:10.1128/AEM.01178-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Novozymes Biopharma UK Ltd., Castle Court, 59 Castle Boulevard, Nottingham NG7 1FD, United Kingdom,1 School of Biology, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom2
Received 27 May 2008/ Accepted 12 October 2008
|
|
|---|
|
|
|---|
Factors affecting heterologous protein production include the properties of the target protein, the host strain, vector system, promoter choice (mRNA availability), leader sequences, translation signals, processing and folding in the endoplasmic reticulum (ER), and secretion (24). If any one of these is suboptimal, it can create a bottleneck leading to poor production yields (21). Thus, although production from S. cerevisiae has been reported in the g/liter range, titers are often 100- to 1,000-fold lower (10, 32).
The use of different expression systems makes comparative assessment of strain improvement approaches difficult, although manipulation of certain groups of genes, and in particular the ER chaperones, has been shown to have widely beneficial effects on the secreted production of at least some heterologous proteins (21, 31). Data indicate that ER function is frequently a major bottleneck in production of secreted heterologous proteins, thus providing a target for optimization (37, 49). This will provide the focus of data discussed here.
Manipulation of the ER luminal environment has mainly focused on the products of the protein disulfide isomerase gene PDI1 and the hsp70 gene KAR2 (33). While overexpression of PDI1 has relatively consistent effects on protein production across a range of protein substrates, the effects of KAR2 overexpression are much more varied (32). This was also observed in our mutagenized, enhanced-production yeast strains, with PDI1 duplication and multicopy overexpression increasing secretion of human transferrin significantly (10, 17, 39), while KAR2 duplication had little or no effect (unpublished data).
Kar2p is the major hsp70 chaperone present in the ER lumen and participates in protein translocation and folding, ER-associated degradation (ERAD), and regulation of unfolded protein response (UPR) signaling (1, 9, 15, 18, 19, 25, 45, 48, 49). Essential to all of these activities is the ATP-dependent cycle of protein binding and release (8, 34). The ATPase cycle is promoted by two sets of cochaperones. The first, consisting of Sec63p, Jem1p, and Scj1p (hsp40-type chaperones present in the ER), promotes ATP hydrolysis, while Sil1p and Lhs1p promote nucleotide exchange. In a recent study, it was demonstrated that Kar2p and Lhs1p, which is also an ER-resident hsp70, share coordinated ATPase cycles (44).
We hypothesized that stimulating the ATPase cycle of Kar2p via overexpression of the cochaperones listed above, both individually and in combination, might promote ER function for heterologous protein production. Further evidence that this might be the case was provided by an analysis of mRNA levels for these genes in our mutagenized, enhanced-production strains. With the exception of SEC63 (which was consequently excluded from subsequent analysis), transcript levels were significantly increased, with SIL1 showing a greater-than-sixfold increase relative to the progenitor strain.
|
|
|---|
|
View this table: [in a new window] |
TABLE 1. Yeast strains used in this study
|
-1 fusion secretion leader, granulocyte-macrophage colony-stimulating factor (GM-CSF) cDNA, and ADH1 terminator. The expression cassette for pDB3213 consists of PRB1 promoter, proprietary preleader sequence, human transferrin cDNA, and ADH1 terminator. In addition, pDB3213 contains a copy of the PDI1 gene cloned into the XcmI site in the inverted repeat region after REP2. |
View this table: [in a new window] |
TABLE 2. Plasmids used in this studya
|
|
View this table: [in a new window] |
TABLE 3. Oligonucleotide primers used for overexpression plasmid construction
|
The spliced form of HAC1 (HAC1i) was amplified by PCR from cDNA derived from DB1 using the primers A05 and A06. The PCR product was gel extracted, digested with XbaI, and repurified. This fragment was ligated with XbaI-digested pTPA03, resulting in insertion of HAC1i between the ACT1 promoter and terminator present in pTPA03, creating pTPC01. Restriction digests of putative plasmids were carried out to check for the correct orientation of the HAC1i open reading frame (ORF) relative to the ACT1 promoter/terminator.
The ADH1 and TEF1 promoters and LHS1 and SCJ1 ORFs (including native terminator regions) were amplified by PCR from DB1 genomic DNA using the primers A07-A08, A09-A10, A11-A12, and A13-A14, respectively. The promoters and ORF PCR products were then joined by overlap extension PCR (36). The promoter-ORF fusion fragments were digested with AleI/BbvCI for ADH1prom/LHS1 and SbfI/XhoI for TEF1prom/SCJ1 and subsequently ligated into pTPA02 digested with the same enzymes to create the plasmids pTPC03 and pTPC05.
The TDH1 and PGK1 promoters and SIL1 and JEM1 ORFs (including native terminator regions) were amplified by PCR from DB1 genomic DNA using the primers A15-A16, A17-A18, A19-A20, and A21-A22, respectively. All fragments were gel extracted and digested with the following enzymes: FseI/XbaI (TDH1prom), PspOMI/XbaI (PGK1prom), XbaI/NarI (SIL1 ORF), and XbaI/RsrII (JEM1 ORF). The promoter and ORFs were then ligated with pTPA02 and digested with the same enzymes (i.e., those present on promoter forward primer and ORF reverse primer) in a three-way ligation. The resultant plasmids were named pTPC02 (TDH1prom/SIL1) and pTPC04 (PGK1prom/JEM1).
The multiple chaperone overexpression plasmids pTPC06 to pTPC08 were created by adding promoter/ORF constructs from pTPC02, pTPC03, and pTPC05 to pTPC04 in a serial manner by digestion with the same restriction enzymes used to ligate fragments into pTPA02 (i.e., sites found in promoter forward primer and ORF reverse primer).
Finally, overexpression constructs were transferred to YCplac33 plasmids (containing a polylinker with an AleI site cloned between BamHI and EcoRI sites). Overexpression constructs were transferred to YCplac33 using AleI/BclI (BamHI-compatible site for BclI in YCplac33) and AleI/XhoI (SalI-compatible site for XhoI in YCplac33). The YCplac33 plasmids corresponding to each of pTPC01 to pTPC08 are named pTPC11 to pTPC18.
RNA extraction.
Yeast strains were grown to an OD600 of 2 in BMMD and harvested by centrifugation at 3,000 x g for 3 min. Supernatants were poured off, and pellets were resuspended in a small volume of growth medium (approximately 0.8 ml per 50-ml culture) and transferred to a microcentrifuge tube. Two-hundred-microliter aliquots were released drop by drop into caps from 20-ml universal tubes (Sterilin) containing liquid nitrogen and stored at –80°C. RNA extractions were carried out on cell pellets as described previously (14) using a Braun dismembrator and Trizol reagent (Invitrogen). RNA was quantified using A260 readings. RNA quality was assessed using an Agilent bioanalyzer, and samples with a 28S:18S rRNA ratio of greater than 1.8 were deemed satisfactory for quantitative reverse transcriptase-PCR (qRT-PCR).
DNase digestion/cDNA preparation.
Ten micrograms of total RNA was added to 10 µl of 10x DNase digestion buffer, 5 µl of RQ1 RNase-free DNase (Promega), and nuclease-free H2O to a 95-µl final volume. Samples were incubated at 37°C for 3 h. An additional 5 µl of RNase-free DNase was then added, and samples were incubated for a further 3 h. Digested RNA samples were frozen at –20°C and purified the following day using an RNeasy cleanup column (Qiagen). Columns were eluted with 40 µl of nuclease-free water. One microgram of DNase-digested total RNA was used in a 20-µl Superscript III (Invitrogen) reverse transcription reaction mixture as described in the manufacturer's instructions.
qRT-PCR.
TaqMan probes/primers were designed using the Applied Biosystems "assay-by-design" service with the exception of HAC1i, which was designed using Primer Express software (Applied Biosystems). The HAC1i probe binds across the exon-exon boundary formed upon splicing. Probe/primer sequences are shown in Table 4. All reagents were supplied by Applied Biosystems or Invitrogen (Ultrapure water). Reactions were set up with 25-µl volumes comprising 12.5 µl 2x Universal PCR master mix, 1.25 µl 20x TaqMan probe/primer mix, 5 µl cDNA template (original cDNA diluted 100x), and water to 25 µl. For HAC1i, instead of the 20x probe/primer mix, 2.5 µl of 2.5 µM probe and 2.25 µl of each 10 µM primer were added.
|
View this table: [in a new window] |
TABLE 4. qRT-PCR probe/primer sequences
|
ELISAs.
Enzyme-linked immunosorbent assays (ELISAs) were performed using a human albumin ELISA quantitation kit (Bethyl Laboratories) as described in the manufacturer's instructions. Ninety-six-well plates were scanned using a SpectraMax plate reader (Molecular Devices), and data were interpreted using SoftMax Pro software (Molecular Devices).
SDS-polyacrylamide gel electrophoresis (PAGE)-densitometry.
For rHA gels, 20 µl of culture supernatant was run on a 12% (wt/vol) acrylamide nonreducing sodium dodecyl sulfate (SDS)-polyacrylamide gel (Invitrogen) in MOPS (morpholinepropanesulfonic acid) buffer at 200 V for 50 min next to standards of known concentrations. Quantification was performed using LabWorks software (UVP) by comparison to the rHA standard curve. Results were normalized to OD600 readings to account for differences in growth. For GM-CSF gels, 30 µl of culture supernatant was run on a 4 to 12% (wt/vol) acrylamide nonreducing SDS-polyacrylamide gel (Invitrogen) in morpholineethanesulfonic acid buffer at 200 V for 35 min. Relative quantification was performed using LabWorks software (UVP). Gels were stained using Gel-code blue stain (Pierce).
Rocket immunoelectrophoresis.
Culture supernatants were loaded at 5 µl per well in 1% (wt/vol) agarose gels containing goat polyclonal antitransferrin (human) antiserum (Calbiochem) at 40 µl per 50-ml gel (7). The rocket immunoelectrophoresis gels were run at 20 V/cm for 120 min using a Tris/Tricine-based system (22) and stained with PhastGel Blue R (Pharmacia Biotech). Standards were human plasma holotransferrin (Calbiochem) at 100, 50, 20, and 10 µg/ml (all added at 5 µl per well).
|
|
|---|
![]() View larger version (12K): [in a new window] |
FIG. 1. qRT-PCR analysis of chaperone gene expression in DS569[pAYE329]. All analysis was carried out on log-phase cells. Data are presented as changes from DB1[pAYE329] to DS569[pAYE329]. qRT-PCR data shown are normalized to ACT1 transcript levels. All values are averages of duplicate measurements on duplicate RNA samples, each of which contained RNA derived from three independent cultures. Error bars indicate standard deviations (n = 2).
|
qRT-PCR was performed to confirm gene overexpression in strains overexpressing each gene individually and all four cochaperones together (Fig. 2). All genes were successfully overexpressed, though expression levels varied significantly. SIL1 showed the smallest increase in expression, with transcript levels increasing approximately twofold relative to the control strain, whereas LHS1 showed the largest increase, at approximately 23-fold. Overexpression of multiple genes from the same plasmid had no detrimental effect on expression levels relative to individual overexpression.
![]() View larger version (30K): [in a new window] |
FIG. 2. Confirmation of gene overexpression by qRT-PCR. All analysis was carried out on log-phase cells. Genes overexpressed in each of the TPC strains are given underneath strain names. Data shown are normalized to ACT1 transcript levels and presented as changes over the levels of the control strain, DB1 ura3[pAYE329, pTPA05]. All values are averages of duplicate measurements with exponential-phase cultures. Error bars indicate standard deviations (n = 2). The absence of a bar indicates that this transcript was not measured in this strain.
|
Cochaperone overexpression results in increased production of rHA at log phase.
To assess the effect of cochaperone overexpression on rHA production, culture supernatants were collected from TPC11 to TPC15 and TPC18 at mid-log phase (OD600 of 2). It should be noted that overexpression affected growth rate in a number of the strains used (data not shown). ELISAs were then performed on supernatants (Fig. 3). Overexpression of HAC1i, LHS1, and JEM1 individually and SIL1, LHS1, JEM1, and SCJ1 together had a positive effect on rHA production levels. Overexpression of SIL1 alone had a negligible effect on production, as might be expected due to low-level overexpression. SCJ1 overexpression had a detrimental effect on production with rHA levels reduced to less than 40% of those of the control strain.
![]() View larger version (21K): [in a new window] |
FIG. 3. Log-phase rHA secretion levels in chaperone overexpression strains. All supernatants analyzed were from cultures inoculated to an OD600 of 0.05 and grown to an OD600 of 2. rHA secretion was assessed by ELISA. All values shown are presented as percentages of rHA secretion compared to the control strain, DB1 ura3[pAYE329, pTPA05], and are averages of duplicate measurements. Error bars indicate standard deviations (n = 2). Gene names shown in bars indicate genes overexpressed by each strain.
|
![]() View larger version (35K): [in a new window] |
FIG. 4. SDS-PAGE analysis of rHA production from stationary-phase cultures. All supernatants analyzed were from cultures grown for 5 days. The control strain is DB1 ura3[pAYE329, pTPA05]. (A) Twenty microliters of culture supernatant was run on 12% nonreducing SDS-polyacrylamide gels next to standards of known concentrations. Mature (M) rHA is indicated by arrows. (B) rHA secretion was assessed by densitometric analysis of SDS-polyacrylamide gels and comparison to an rHA standard curve. Due to differences in final cell densities between strains, values have been normalized to OD600 readings. Duplicates shown for each strain represent two individual shake-flask cultures from the same transformant. Error bars indicate standard deviations (n = 2). Gene names shown in bars indicate genes overexpressed by each strain.
|
In contrast to the log-phase data, SCJ1 had little impact on rHA production in stationary-phase cultures. Of the two multiple overexpression strains, only TPC17 showed an increase in rHA production. TPC18 showed no improvement in production in stationary-phase cultures.
Cochaperone overexpression results in increased production of rTf and GM-CSF from the further-enhanced-production strain DYB7.
Due to the promising results obtained with rHA production, cochaperone overexpression was investigated with two additional heterologous proteins, recombinant transferrin (rTf) and GM-CSF. As expression of these proteins was low relative to that of rHA in the strain DB1 (data not shown), expression was performed in the strain DYB7 ura3. DYB7 is part of the same series of mutagenized, enhanced-production strains as DS569. The known genotype (i.e., excluding mutations resulting from chemical mutagenesis) is shown in Materials and Methods.
This part of the study was performed in parallel with the analysis of rHA production in stationary-phase culture. As a result, only pTPC17 (containing SIL1, LHS1, and JEM1) was selected, based on log-phase data. Levels of GM-CSF were elevated approximately 45% upon cochaperone overexpression (Fig. 5). rTf levels were increased even more markedly, although the extent of this effect was shown to be dependent on the growth medium (Fig. 6).
![]() View larger version (47K): [in a new window] |
FIG. 5. Increased expression of GM-CSF from DYB7. Two transformants for each strain were inoculated into 10 ml BMMD in 50-ml shake flasks in duplicate and incubated in an orbital shaker at 30°C and 200 rpm for 4 days. Culture supernatants were harvested, and the recombinant GM-CSF titers were compared by SDS-PAGE (A) and densitometric analysis (B). Data are presented as integrated optical density readings (IODs) produced by densitometry. Error bars indicate standard deviations (n = 2).
|
![]() View larger version (73K): [in a new window] |
FIG. 6. Increased expression of rTf from DYB7. Transformants of each strain were inoculated into 10 ml BMMD and 10 ml YEPD in 50-ml shake flasks and incubated in an orbital shaker at 30°C and 200 rpm for 4 days. Culture supernatants were harvested, and the rTf titers were compared by rocket immunoelectrophoresis.
|
|
|
|---|
Altering levels of components of the ER protein-folding machinery has been shown previously to affect UPR signaling. Strains overexpressing PDI1 showed reduced levels of HAC1 splicing, corresponding to reduced intracellular levels of scFv (49). This sets a precedent for the unexpected result shown in Fig. 2, indicating that overexpression of LHS1, JEM1, and all four cochaperones together reduced HAC1i transcript levels. This effect was most apparent with LHS1 (TPC13), where HAC1i transcript levels were reduced more than twofold.
Comparison of data from the analysis of HAC1i transcript levels and rHA production in overexpression strains (Fig. 2 and 3, respectively) showed that, with the exception of TPC11 (where HAC1i transcript levels are artificially elevated), strains showing increased rHA production also showed reduced HAC1i transcript levels. This suggests that ER protein-folding efficiency is improved in these strains.
Therefore, these results support an indirect link between cochaperones of Kar2p and HAC1 splicing. Maintaining Kar2p in its active, cycling state may both keep luminal load down and keep Ire1p in its inactive form. To complicate this picture, Lhs1p has been shown to have chaperone activity itself, aside from its interaction with Kar2p (29).
The accumulated secreted levels of rHA were analyzed at both log phase and at stationary phase (Fig. 3 and 4). Good correlation was seen between the two sets of results. Overexpression of HAC1i, LHS1, and JEM1 individually produced consistent results, increasing rHA production in both data sets. The strain TPC15, which overexpresses SCJ1, and the multiple overexpression strain TPC18 behaved less consistently. While SCJ1 overexpression appeared to be detrimental to rHA production in log-phase cultures, it had a negligible effect on rHA production in stationary-phase cultures. Conversely, TPC18 showed an approximately 40% increase in rHA production in log-phase cultures but a marginal decrease in stationary-phase cultures.
The reason for the differences in rHA production seen with SCJ1 and JEM1 overexpression is unknown (LHS1 and SIL1 data presented here are not comparable due to low overexpression of SIL1). Cells lacking JEM1 and SCJ1 are temperature sensitive and are defective in transport of constitutively misfolded carboxypeptidase Y (CPY*), suggesting overlapping function (26, 38). One aspect that may affect function is localization. Jem1p is an ER membrane protein (though the J domain is found in the ER lumen), whereas Scj1p is a soluble, ER luminal protein (26, 30).
Normalization to optical density readings was used during analysis of rHA production to indicate protein production on a "per-cell" basis. It is true, however, that transcription and translation are affected by growth rate (5). Thus, increased rHA production might be a secondary effect resulting from chaperone overexpression influencing growth rate. In the case of JEM1 overexpression (TPC14) the general pattern of growth was remarkably similar to that of the control strain, indicating that this is unlikely to be a major factor influencing increased protein production. Furthermore, transcription of GPD1 and PRB1 (promoters used in rHA and GM-CSF/rTf expression cassettes, respectively) was not shown to be significantly affected by growth rate (5).
Experimental data also demonstrated that GM-CSF and rTf production was significantly increased with cochaperone overexpression. Data were restricted to combined overexpression of SIL1, LHS1, and JEM1 in the strain DYB7. Many studies in this field have shown that the beneficial effects of chaperone overexpression are highly substrate dependent (13, 43). In this case all three proteins, with distinct characteristics (Table 5), showed increased production levels from shake-flask culture.
|
View this table: [in a new window] |
TABLE 5. Characteristics of heterologous proteins
|
As previously performed with PDI1 (10), it would be informative to incorporate JEM1 along with its native promoter into the 2µm expression plasmid to investigate whether this would increase protein production further. The plasmid used for rTf production already contains a PDI1 expression cassette and so demonstrates a combined effect of PDI1, SIL1, LHS1, and JEM1 overexpression. It is key to note that, like all studies of this nature, we are providing only a "snapshot" of the effects of chaperone overexpression on heterologous protein production. Ideally, the levels of gene expression for each overexpressed gene would be tunable to provide a more comprehensive assessment. Such an approach has been used successfully in filamentous fungi to identify optimal levels of BiP (fungal Kar2p) and Pdi1p for the production of the plant sweet protein thaumatin (20, 23).
rTf production from shake-flask culture varied significantly between different growth media (Fig. 6). Increased biomass formation with complete medium (YEPD) normally results in increased protein production relative to minimal medium (BMMD). In this case, the opposite was observed. This may be a result of reduced plasmid stability in nonselective YEPD. The effect of cochaperone overexpression could thus be twofold—increasing productive folding in the ER and reducing the deleterious effects of rTf production on cell physiology and/or growth. This may go some way to explaining the differential effects observed in the two media.
In conclusion, the large number of factors surrounding heterologous protein production, compounded by use of different substrate proteins, ensures that the optimization of the secretion pathway for heterologous protein production is necessarily complex. The term bottleneck is used frequently and is indicative of the problems associated with manipulating single components in a "balanced" system. In the future, large-scale experiments utilizing distinct classes of substrate proteins may be the way forward to gain a fuller understanding. In this way it might be possible to assess protein characteristics, secretory pathway modifications, and consequent production yields in an informative and constructive way.
Published ahead of print on 17 October 2008. ![]()
|
|
|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»