Skip to main content

Monitoring of transcriptional regulation in Pichia pastoris under protein production conditions



It has become evident that host cells react to recombinant protein production with a variety of metabolic and intrinsic stresses such as the unfolded protein response (UPR) pathway. Additionally, environmental conditions such as growth temperature may have a strong impact on cell physiology and specific productivity. However, there is little information about the molecular reactions of the host cells on a genomic level, especially in context to recombinant protein secretion. For the first time, we monitored transcriptional regulation of a subset of marker genes in the common production host Pichia pastoris to gain insights into the general physiological status of the cells under protein production conditions, with the main focus on secretion stress related genes.


Overexpression of the UPR activating transcription factor Hac1p was employed to identify UPR target genes in P. pastoris and the responses were compared to those known for Saccharomyces cerevisiae. Most of the folding/secretion related genes showed similar regulation patterns in both yeasts, whereas genes associated with the general stress response were differentially regulated. Secretion of an antibody Fab fragment led to induction of UPR target genes in P. pastoris, however not to the same magnitude as Hac1p overproduction. Overexpression of S. cerevisiae protein disulfide isomerase (PDI1) enhances Fab secretion rates 1.9 fold, but did not relief UPR stress. Reduction of cultivation temperature from 25°C to 20°C led to a 1.4-fold increase of specific product secretion rate in chemostat cultivations, although the transcriptional levels of the product genes (Fab light and heavy chain) were significantly reduced at the lower temperature. A subset of folding related genes appeared to be down-regulated at the reduced temperature, whereas transcription of components of the ER associated degradation and the secretory transport was enhanced.


Monitoring of genomic regulation of marker genes with the transcriptional profiling method TRAC in P. pastoris revealed similarities and discrepancies of the responses compared to S. cerevisiae. Thus our results emphasize the importance to analyse the individual hosts under real production conditions instead of drawing conclusions from model organisms. Cultivation temperature has a significant influence on specific productivity that cannot be related just to thermodynamic effects, but strongly impacts the regulation of specific genes.


Heterologous protein production processes in the methylotrophic yeast Pichia pastoris became increasingly important in the last decade. Although P. pastoris is known as a highly efficient expression system, there is only little knowledge about the physiology and the genetics lying underneath.

Especially the production of complex proteins has turned out to have a rather low success rate (see reviews by [1, 2]). Several physiological studies have demonstrated that many processes, including stress responses to environmental factors, and protein folding/aggregation and secretion are highly interrelated. Among the environmental factors influencing protein expression and secretion, pH, osmolarity, oxygen availability and temperature appear to be particularly important (recently reviewed by [3]).

During the development of P. pastoris strains secreting either the human serine protease trypsinogen [4], Rhizopus oryzae lipase [5, 6], or the Fab fragments of the human monoclonal anti-HIV1 antibody 2F5 [7] and its anti-ideoptype 3H6 [8], limitations in folding and/or secretion became obvious. Using immunofluorescent staining and flow cytometry techniques we could detect intracellularly retained product, which was found to be located within the membrane fraction of cell lysates (containing compartments of the secretory pathway such as the ER and the Golgi), and a concomitant increase in the levels of intracellular BiP (binding protein), which is described as a signal molecule for unfolded protein response (UPR) (for reviews see [911]). On the other hand it has been shown that constitutive induction of the UPR pathway by overexpression of the transcriptional activator Hac1p can promote folding and secretion of heterologous proteins in several hosts, including Saccharomyces cerevisiae [12], Aspergillus niger var. awamori [13] and P. pastoris [7].

To our knowledge there exists no report about the regulation of gene expression upon activation of the UPR pathway in P. pastoris so far. We attempted to analyse these responses in more detail and to determine the possible induction of the UPR as result of the overexpression of heterologous proteins on a transcriptional level. The rapid transcriptional profiling method TRAC (transcript analysis with aid of affinity capture) that has been successfully implemented for T. reesei [14, 15] was employed in this study to monitor the levels of a subset of mRNAs coding for UPR-regulated and stress-connected genes in P. pastoris.

While a lot of data has been collected regarding the regulatory events as a reaction to temperature changes, there is not much information on the true cellular reaction particularly in context of heterologous protein expression. The optimum growth temperature for P. pastoris is usually defined as 28–30°C, however, it is well established that a reduction of the temperature to e.g. 25°C can significantly improve recombinant protein productivity without hampering growth [16]. Jahic et al. [17] suggested that lower temperature leads to a reduced death rate, and hence a lower amount of host cell proteases in the supernatant. While this seems plausible, it should be noted that during our work we did not find such an influence of temperature on cell death at common growth temperatures [4].

Therefore a deeper understanding of the physiological and molecular links between protein folding and temperature (-adaption/-stress) appears useful.

We investigated production characteristics at 20°C compared to 25°C in chemostat cultivations expressing 2F5 Fab fragment. First results indicated that specific product formation rate was 1.4-fold higher at the lower temperature compared to steady state conditions at 25°C. Therefore transcriptional profiling with the TRAC method was employed to study whether this increase in product secretion is a result of increased levels of UPR-regulated genes or if there are alternative mechanisms lying underneath.

Results and discussion

Expression of more than 50 genes was monitored by the TRAC method in four recombinant P. pastoris strains and the wild type grown in various conditions

TRAC analysis was performed in duplicates for each sample in two of the authors' laboratories in Finland (VTT) and Austria (IAM). Variation between these duplicate assays (S MV ) was 10% on the average, and independent of signal strength as it was reported for T. reesei samples by [14].

For the temperature experiments, the ratio of the fluorescence intensity per ng polyA RNA (FL) in 20°C steady state to the FL in 25°C steady state samples was determined individually for each of the two biological replicas. The mean ratio was calculated for each probe, with the standard deviation (S BV ) of the ratios being 21% on average. So the overall standard deviation of the temperature experiment (S A ) adds up to 25%. The probability (p-values) that the FL 20°C does actually differ significantly from FL 25°C was assessed with a Student t-test.

The P. pastoris gene annotations in the ERGO genome database (Integrated Genomics; Chicago, IL, [18]) are derived using a number of criteria [19] including orthology to S. cerevisiae gene function. Consequently, all the discussion will be based on the respective descriptions (Table 1) given in the Saccharomyces Genome Database [20].

Table 1 Functions of the markers used in TRAC analysis.

Effect of Hac1-overexpression on the regulation of marker genes in P. pastoris

As the active form of P. pastoris Hac1p is not identified yet, the S. cerevisiae homolog was used. Cross species functionality of Hac1p has been demonstrated between S. cerevisiae and P. pastoris [7], and T. reesei respectively [12]. Therefore, TRAC analysis of shake flask cultivations of P. pastoris strains co-overexpressing S. cerevisiae UPR-transcription factor Hac1p was applied to identify UPR-targets in P. pastoris and the responses were compared to those observed in S. cerevisiae [21]. In that study, S. cerevisiae UPR target genes were induced by dithiothreitol (DTT) and tunicamycin, two agents known to interfere with protein folding in the ER.

Both P. pastoris GS115, and the protease deficient strain SMD1168, containing S. cerevisiae HAC1 were analysed, and no difference could be seen in the regulation of the marker genes included in our analysis. Therefore a mean value of these two experiments was compared to untransformed X33 as control strain.

More than a 2-fold induction of genes like KAR2 (BiP, 5-fold), PDI1 (protein disulfide isomerase, 3-fold), ERO1 (Pdi oxidase, 2-fold) and SEC61 (part of translocon complex into the ER, 2-fold) was observed in P. pastoris (Figure 1A), analogous to the UPR response described for S. cerevisiae[21]. Strong enhancement in the transcription of genes involved in the ER quality control and glycosylation such as CNE1 (calnexin), ROT2 (glucosidase II) and SEC53 (phosphomannomutase) was predominant in P. pastoris, while components of the ER-associated protein degradation (ERAD) represented by HRD1 and UBC1 showed a more consistent upregulation, as compared to S. cerevisiae. Also the down-regulation of core metabolism genes such as PFK1 (glycolysis), CIT1 (TCA cycle), GLT1 and ARO4 (amino acid biosynthesis) and ribosomal genes (RPS23B, RPL3) during UPR induction seems to be a common feature for both of the yeasts (Figure 1D), while the transcription of other genes is differentially regulated between the two organisms.

Figure 1
figure 1

Comparison of the UPR response in P. pastoris and S. cerevisiae. Abbreviations for P. pastoris strains are explained in Table 3, all data are derived from comparison to the wild type. Data from S. cerevisiae were taken from [21], where UPR was induced with DTT or tunicamycin. ScD60 (treatment with DTT after 60 min); ScD120 (treatment with DTT after 120 min); ScT60 (treatment with tunicamycin after 60 min), all compared to a non-treated culture. Cluster analysis was made using EPClust [47], Euklidian distance with complete linkage. Subclusters are shown for the following: A: genes induced in both yeasts; B: upregulated in P. pastoris, down-regulated in S. cerevisiae; C: down-regulated to unchanged in P. pastoris, upregulated in S. cerevisiae; D: reduced in both yeasts. Subclusters of genes that are unchanged in both organisms are not displayed. The brightest colouring corresponds to the log2 regulation ≥ ± 2.

Remarkably, the oppositional regulation of the two general stress markers GCN4 and MSN2 was noticed. While GCN4 was upregulated in P. pastoris but down-regulated in S. cerevisiae, MSN2 behaved the other way round (Figure 1B, C). Induction of GCN4 transcription in response to DTT treatment or heterologous protein expression was reported for T. reesei, as well as enhanced expression levels of some of its putative target genes related to amino acid biosynthesis, among them GLT1, ARG1, ARO4 [22]. On the contrary to T. reesei we can not see a similar behaviour of the amino acid biosynthesis genes included in our marker set, as levels of GLT1 (glutamate biosynthesis) are strongly reduced, while ARG1 (arginine) transcription is enhanced. Recently, Patil and coworkers [23] described activation of Gcn4p by ER stress and suggested that it acts as an essential transcription factor for the UPR together with or downstream of Hac1p. A link between ER stress and oxidative stress was established in mammalian cells, where the expression of the GCN4 homolog ATF4 regulates glutathione biosynthesis and thereby protects the cells against the accumulation of reactive oxygen species deriving from the oxidative protein folding machinery in the ER and the ERAD [24]. Both glutathione (GLR1) and thioredoxin (TRR1, TSA1) related genes show higher expression levels in the Hac1p-overproducing strain compared to the control strain in P. pastoris (all displayed in Figure 1A, B).

No direct connection between the general environmental response transcriptional activator Msn2 [25] and UPR regulation has been reported so far. Most significantly, a fraction of genes that are correlated to general stress response appears to be induced in S. cerevisiae but remains unchanged to down-regulated in P. pastoris along with Msn2 (Figure 1C). Among them Hem12 serves as a marker for oxygen availability, Rad16 and Rad2 belong to the DNA repair mechanism, Arl3 and Vps17 are connected to the transport between the endosomal compartment and the Golgi, while Snooze genes are members of stationary phase related gene family and reported to be induced both by pyridoxal and thiamin depletion [26]. The involvement of the HOG1 (high osmolarity glycerol) pathway in more general environmental stress responses was discussed in [27], and can be connected to the regulation of many other genes including HSP12 (all displayed in Figure 1C).

Induction of the unfolded protein response by heterologous protein secretion

In order to elucidate the behaviour of genes typically known to be under UPR-regulation additionally to other stress-associated markers in recombinant protein producing cells, P. pastoris strains secreting the 2F5 antibody fragment under control of the GAP promoter were examined and their response was compared to the Hac1p-overproducing strains in figure 2.

Figure 2
figure 2

UPR regulation in P. pastoris. A: Log2 ratio of Hac1p-overproducing strains compared to the wild type, Hac1p-dependend up- or downregulatated genes are highlighted; B: Log2 ratio of cultures producing 2F5 Fab under control of the GAP promoter compared to the wild type, in the same order as A. Red bars: change in transcript up > 2-fold; yellow bars: up > 1.5 fold; white bars: unchanged; blue bars: down > 1.5 fold.

TRAC analysis of these cultures revealed that production of 2F5 Fab actually induces genes identified as UPR-targets before. Genes such as KAR2, PDI1, ROT2, ERO1, Calnexin, SEC31, and SEC53 are significantly upregulated, although not to the same magnitude as in the Hac1p-overproducing strains. Additionally, expression levels of genes belonging to the core metabolism (GLT1, CIT1), general stress response (MSN2, SNZ) and ribosomal components (RPL3) showed down regulation in the Fab-expressing strain, as has been observed in the strain constitutively overexpressing the UPR transcription factor Hac1p. Out of 20 genes detected to be under Hac1p-specific activation, 11 appeared to be up-regulated in the Fab-expressing strain, and all of the three genes identified to be under Hac1p-dependent down-regulation showed lower transcription levels also in the recombinant strain. No explanation can be given for the divergent regulation pattern of HSP12.

Previous transcriptional studies in Aspergillus nidulans and T. reesei are in agreement with our finding that changes in mRNA levels are more subtle and specific in recombinant protein producing strains than in cultures treated with secretion blockers like DTT, tunicamycin and Brefeldin A or strains with constitutively activated UPR [28, 22].

No reduction of UPR activation due to PDI1 overexpression

Furthermore, folding engineered strains constitutively co-producing S. cerevisiae Pdi1 or Hac1p, which were identified to increase 2F5 Fab secretion 1.9- and 1.3- fold, respectively [7], were subjected to TRAC analysis and compared to their parental strain. The results are displayed in figure 3.

Figure 3
figure 3

Effect of engineered folding factors on the transcriptional level. A: Constitutively UPR induced 2F5 Fab producing SMD1168 (Fab+Hac1) compared to its control strain (containing only the Fab expression cassette). B: 2F5 Fab producing SMD1168 co-expressing S. cerevisiae PDI1 compared to the control strain. Both diagrams are ordered from the lowest to the highest log2 ratio. Colour legend as in figure 2.

Out of 20 transcripts established to be up-regulated in response to UPR activation, 12 can be found to be at least 1.5-fold induced in the Hac1p-expressing strain as compared to the strain expressing only 2F5 Fab (Figure 3A). The genes detected to be down-regulated in the Hac1p-overexpressing strain as compared to the wild-type show no regulation here as they also have significantly lower expression levels in the Fab expressing strain (compared to the wild type).

Interestingly, when analysing the PDI1-overexpressing strains (Figure 3B), we found that most genes seem to be unaffected by PDI1 overexpression at a transcriptional level, although 2F5 Fab secretion rates are enhanced under these conditions. Unlike Xu et al. [29] who reported a relief of UPR induction caused by recombinant protein expression when PDI1 is overexpressed in S. cerevisiae, our results suggest that overexpression of S. cerevisiae PDI1 does not alleviate UPR stress in P. pastoris. Thus it is likely that there are other mechanisms easing the secretion of the antibody fragments. Interestingly, there are several genes belonging to the vesicular protein transport system involved in ER to Golgi and Golgi to plasma membrane transport (SAR1, SEC18, SEC31, SSO2), and the ERAD among the genes most induced (although less than 1.5-fold) in the Pdi1p-coproducing strain, however, some genes connected to Pdi1 like ERO1 and the cyclophilin type peptidyl-prolyl isomerase CPR5 have significantly lower transcription levels in this strain.

Influence of cultivation temperature on protein secretion rates and transcriptional response

After monitoring the transcriptional effects specific to UPR induction on a chosen gene set in P. pastoris, we intended to uncover the transcriptional responses occurring in cells under production conditions. The particular interest of this collaborative work was to study the interactions between cellular responses triggered by protein overproduction (with particular emphasis on protein synthesis, folding and secretion and related stress responses), and different cultivation temperatures as an example for environmental (cultivation process) conditions.

As our usual production processes were set up at 25°C [4], we intended to investigate production characteristics at an even lower, but still feasible temperature of 20°C. Two independent chemostat cultivations of a P. pastoris strain secreting 2F5 Fab under control of the GAP promoter have been conducted, with a dilution rate of D = 0.043 h-1 and glucose as carbon source, one starting at 25°C and shifted to 20°C after 5 volume changes, the other vice versa. In both experiments the biomass reached approx. 25 g/L YDM at both temperatures, however, Fab secretion levels were elevated on average 1.4-fold at the lower temperature (Table 2). The difference was determined to be highly significant by a Student t-test (p = 0.00966).

Table 2 Chemostat cultivations of P. pastoris X33 producing 2F5 Fab utilizing the GAP promoter at two different temperatures.

Similar improvement of secretion of a single chain fragment (scFv) upon a reduction to 20°C (compared to 30 and 37°C) was reported for S. cerevisiae [30], while Li et al. [16] described a positive effect of lower temperature (23°C) on growth and viability during the expression of a herring antifreeze protein in P. pastoris, but it should be considered that their data result from shake flasks only. In our experiments, viability remained constantly high (> 98.5 %) at both temperatures examined.

Although the transcriptional levels of the product genes (2F5 Fab light and heavy chain) were reduced at 20°C compared to cultivation on 25°C (Figure 4), specific productivity of the 2F5 Fab protein was significantly increased during the chemostat process at lower temperature (1.4-fold on average). Several genes related to protein targeting to the ER and folding (SSA4, SEC53, KAR2, ERO1) and core metabolism genes can be found among the genes down-regulated at 20°C. Transcription of genes involved in the regulation of vesicular transport, exocytosis, ER-associated protein degradation as well as markers for response to oxidative and hyperosmotic stress was enhanced in comparison to 25°C steady state (see Figure 4).

Figure 4
figure 4

Comparison of marker genes expression of 2F5 producing P. pastoris during steady state conditions. Log2 ratios of the average gene expression between 20 °C and 25 °C in chemostat cultivation (D = 0.043 h-1). Genes with ratios exceeding ± one standard deviation (SD) are marked in light blue, ± two SD in yellow and ± three SD in green. The p-value (χ2-test) is given for each individual marker gene. (a) *** significance level p ≤ 0.01; ** significance level p ≤ 0.05; * significance level p ≤ 0.1

Since there was strong evidence that (partially) unfolded product was retained inside the cells during fed batch cultivations [4, 7], thus leading to an upregulation of the UPR marker protein BiP, we investigated the behaviour of these proteins also in the chemostat. According to immunofluorescent staining and flow cytometer analysis intracellular product levels (Fab light chain and heavy chain fragment) are increased at the lower temperature (Figure 5), on the contrary to BiP which shows the same trend as its transcript KAR2. Our hypothesis is that at the lower temperature less folding stress is provoked by the native Pichia proteins and consequently less cumulative pressure is imposed on the folding machinery. Therefore no induction of BiP transcription could be seen at the lower temperature although more of the recombinant protein was accumulated intracellularly.

Figure 5
figure 5

Intracellular product retention and BiP development analysed by immunofluorescent staining and flow cytometer analysis during cultivation at two different temperatures. Orange bars: relative fluorescence intensities per cell size obtained at 25 °C steady state; Blue bars: 20 °C steady state. BiP: intracellular signals for the UPR marker BiP/Kar2p (detected with anti-Grp78/BiP specific IgG). HC: intracellular signals for Fab heavy chain (obtained with anti-h-Fab specific IgG); LC: intracellular signals for light chain (analyzed with anti-kappa light chain IgG).

ER associated protein degradation is a process detecting misfolded proteins in the ER and redirecting them to the translocon for retranslocation to the cytosol, where they are subjected to proteasomal degradation. Additionally, excess subunits of multimeric proteins that are unable to assemble are degraded through the ERAD mechanism [31]. With HRD1, coding for an ubiquitin-protein ligase, that is able to recruit ubiquitin-conjugating enzymes such as the gene product of UBC1 next to the translocon pore complex (Sec61p being an essential subunit of the complex), three essential components of the ERAD pathway are up-regulated in correlation to higher protein secretion rates. One could speculate that increased ERAD activity at lower temperature might lead to degradation of excess HC, thus reducing ER stress conditions and therefore leading to better secretion. However, no evidence is given that excess HC is degraded, as intracellular product levels are increased at the lower temperature. No components of the proteasomal system have been included into the study.

All analysed members of the Hsp70-family of chaperones are less transcribed at the lower temperature. This performance can be explained in concordance with their stringent requirement in conditions of heat shock. Together BiP/Kar2p and the Ssa-proteins (ER-localized and cytosolic hsp70, respectively) are required for the import of nascent polypeptides through the translocon into the ER lumen, where BiP is acting as a chaperone. BiP is also necessary for the degradation of misfolded proteins. However, so far no essential role of the Ssa-proteins in the retrograde transport of misfolded soluble proteins during ERAD has been identified [32, 33]. The chaperonines of the Sse/Hsp110 subclass of the Hsp70 family, that are encoded by SSE1 and SSE2, assist in folding by binding to nascent peptides and holding them in a folding-competent state, however, they can not actively promote folding reactions.

Other transcripts significantly down-regulated at the lower temperature belong to the phosphomannomutase SEC53, the protein O-mannosyltransferase PMT6, both being involved in glycosylation of secretory proteins as well as to the ER resident thiol-oxidase ERO1 (acting as a specific oxidant for protein disulfide oxidase). The product of the IMH1/SYS3 gene is a member of the peripheral membrane Golgins involved in vesicular transport between the late Golgi and a prevacuolar, endosome-like compartment [34].

The transcriptional activator of amino acid biosynthetic genes in response to amino acid starvation GCN4 is downregulated 1.4-fold at 20°C steady state levels. Although it might be speculated that a lower concentration of Gcn4 can lead to lower transcription of amino acid biosynthesis genes, in our experiment only GLT1 (glutamate synthase) is significantly reduced. The pathways for aromatic amino acids (with ARO4 as marker) and arginine biosynthesis (ARG1) tend to be downregulated. Also the pentose phosphate shunt (represented by the genes for transaldolase TAL1 and transketolase TKL1) and the transcription of citrate synthase (CIT1) – the rate-limiting enzyme of the TCA cycle – are less active at 20°C. This reduction in transcriptional activity of the core metabolism is a likely explanation for the reduced mRNA levels of the product genes (LC and HC), which are under control of the glycolytic GAP (glyceraldehyde 3-phosphate dehydrogenase) promoter. Essentially the same regulation pattern of amino acid biosynthesis genes and core metabolism genes was observed in a non-expressing control strain cultivated under the same conditions (data not shown). Interestingly, the transcript levels of the ribosomal proteins (RPL3, RPS23) are raised in both the Fab expressing and the non-expressing strain at 20°C.

Unlike the general transcriptional activator in response to different stresses, MSN2, which shows reduced transcription, the genes coding for the key regulatory enzymes of both the cell redox homeostasis (thioredoxin reductase TRR1, thioredoxin peroxidase TSA1, glutathione oxidoreductase GLR1) and osmoregulation (mitogen-activated protein (MAP) kinase HOG1) are induced at the lower temperature. This seems to be a more general effect of the reduced temperature as the same regulation pattern can be observed in the P. pastoris control strain cultivated under the same conditions (data not shown). Recently, activation of the HOG pathway upon a downshift in temperature (30 to 12°C) was monitored in S. cerevisiae, whereas in Schizosaccharomyces pombe the Sty1p MAP-kinase (the Hog1p homolog) lead to the activation of several cold-induced genes [35, 36]. These authors conclude that the HOG pathway is regulated by changes in membrane fluidity, and that the downward shift in temperature results in the accumulation of glycerol in the yeast cells, while having no major effect on cell viability. Furthermore an increase in intracellular hydrogen peroxide and subsequent induction of anti-oxidant genes was revealed in response to a temperature downshift from 30 to 10°C in S. cerevisiae [37]. These results suggest that the cells are subjected to (mild) oxidative stress after cultivation in a low temperature environment, a phenomenon also shared with plants like Arabidopsis thaliana [38].

Also the transcript of another regulatory enzyme, the 14-3-3 protein Bmh2, is elevated at the lower temperature, at which higher rates of secretion were observed. 14-3-3 proteins, encoded by BMH1 and BMH2, were identified to participate in multiple steps of vesicular trafficking, especially in protein exit from the ER, forward trafficking of multimeric cell surface membrane proteins [39] as well as in retrograde transportation within the Golgi apparatus. In S. cerevisiae the induction of BMH1 has been reported to reduce transcription of folding related genes such as SSA1/2, ERO1, HSP 82, KAR2 and CPR5 upon a shift from 37°C to 25°C [27], which may also be the case in our experiments.

The yeast syntaxin homologs Sso1 and Sso2 are necessary for the fusion of secretory vesicles to the plasma membrane by acting as target (t-SNARE) for the vesicle membrane receptor protein (v-SNARE) Snc1. Both transcripts were identified to be up-regulated at the reduced temperature under production conditions.

Two genes belonging to the DNA damage response show significantly altered expression upon the temperature reduction; however, the DNA endonuclease (RAD2) is induced while RAD16 is down-regulated. Detailed functions of proteins involved in the nucleotide excision repair in yeasts are reviewed by [40], however, their connection to cultivation temperature or protein secretion remains elusive.

Generally, the reduction of temperature from 25°C to 20°C does not trigger a transcriptional reaction as definite as the overproduction of the UPR transcription factor Hac1p. As displayed in Figure 4, lowering temperature leads to a regulation pattern that is partially divergent from the UPR specific regulation, with a special discrepancy of single genes such as the HSPs. Interestingly, genes of the core metabolism, amino acid biosynthesis and ribosome biosynthesis, as well as redox and osmotic stress response, were regulated similarly in the Fab-expressing P. pastoris strain and a non-expressing control strain. On the other hand, genes belonging to the protein secretory pathway remained unchanged in the control strain, while being significantly regulated in the Fab expressing strain.

Two regulation patterns common to adaptation upon temperature changes were identified also to be conserved in P. pastoris. It becomes obvious that the effects caused upon temperature reduction are not ostensibly UPR dependent, but that this regulation is overlapped by alternative (yet unidentified) mechanisms of regulation leading to the final enhancement of antibody fragment secretion.


Our results indicate the importance of monitoring transcriptional regulations during recombinant protein production processes in real production strains instead of model organisms, even if there are no DNA microarrays available. The transcriptional profiling method TRAC proved to be a valuable tool to analyse genomic responses of a subset of marker genes in P. pastoris, and to compare them to those observed in S. cerevisiae. Upon UPR induction a lot of markers showed similar transcriptional regulation in both yeasts, however, a significant fraction of transcript levels of genes belonging to general stress response are behaving in an opposite way. Both the effects of S. cerevisiae Hac1p and Pdi1 overexpression in P. pastoris was studied, additionally to the responses induced by secretion of 2F5 Fab antibody fragment.

Interactions between growth temperature as an example for environmental conditions and specific productivity could be revealed at a transcriptional level. Reduction in temperature led to increased product secretion rates, which are the result of complex regulatory mechanisms and not only influenced by thermodynamic differences in protein folding. Common transcriptional responses to reduced temperature such as induction of genes related to oxidative and osmotic stresses are overlapped by responses to recombinant protein production such as the UPR and the ERAD. Especially the enhanced transcription of components of the secretory pathway became obvious under conditions of higher protein secretion. It is tempting to speculate that at lower temperature a reduced amount of folding stress is imposed on the cells, consequently leading to a higher rate of correctly folded product.


Strains and vectors

GS115 is a histidin auxotrophic P. pastoris strain, X33 is its respective histidin prototrophic revertant, and SMD1168 is deleted for the vacuolar protease pep 4. The construction of P. pastoris strain X33 containing both the 2F5 Fab light and heavy chain genes under control of the constitutive GAP (glyceraldehyde-3-phosphate dehydrogenase) promoter, with the S. cerevisiae alpha-mating factor signal sequence for secretion, was described in [7]. Similarly, the folding factor engineered P. pastoris strains SMD1168 constitutively overexpressing either S. cerevisiae PDI1 or the induced form of Hac1p additionally to the Fab or the respective control strains were characterized in [7]. For the evaluation of UPR specific induction in P. pastoris, both a SMD1168 and a GS115 were transformed with the UPR transcription factor Hac1p from S. cerevisiae, without containing the genes for the Fab. The untransformed P. pastoris strain X33 was used for wild type comparison. A summary of all the strains used in this study can be found in Table 3.

Table 3 Summary of all the P. pastoris strains used in this work.

Shake flask cultures

5 mL YP-medium (10 g/L yeast extract, 20 g/L peptone) containing 20 g/L glucose were inoculated with a single colony and grown overnight at 30°C. Aliquots of these cultures corresponding to a final OD600 of 0.6 were transferred to 10 mL main culture medium (per liter: 10 g yeast extract, 10 g peptone, 100 mM potassium phosphate buffer pH 6.0, 13.4 g yeast nitrogen base with ammonium sulfate, 0.4 mg biotin) and incubated at 30°C at vigorous shaking. After 24 h, 1 mL of these cultures was transferred into fresh 25 mL of main culture medium, and incubated again at 30°C at vigorous shaking for 6.5 h to retain the cells in exponential growth phase, before cells were harvested by centrifugation at 10000 × g for 6 min at 4°C. The pellet was stored at -70°C immediately.

Chemostat cultivations

The chemostat cultivations were performed in a 2.0 L working volume bioreactor (MBR, Wetzikon, Switzerland) with a computer based process control (ISE, Vienna, Austria) as described in [41].

A shake flask containing 100 mL of YPG medium (per liter: 10 g yeast extract, 10 g peptone, 10 g glycerol) was inoculated with one 1.8 mL cryovial of the P. pastoris cell bank, and incubated at 28°C for approximately 24 hours with agitation at 180 rpm. This culture was used to inoculate the starting volume (1.4 L) of the bioreactor to an optical density (OD600) of 1.0.

Cultivation temperature was controlled either at 20°C or 25°C, the pH was controlled at pH 5.0 with 25% ammonium hydroxide and the dissolved oxygen concentration was maintained above 20% saturation by controlling the stirrer speed between 600 and 1200 rpm, whereas the airflow was kept constant at 100 L h-1.

The media were as follows:

Batch medium contained per liter:

2.0 g citric acid, 12.4 g (NH4)2HPO4, 0.022 g CaCl2· 2H2O, 0.9 g KCl, 0.5 g MgSO4· 7H2O, 40 g glycerol, 4.6 ml PTM1 trace salts stock solution. The pH was set to 5.0 with 25 % HCl.

Chemostat medium contained per liter:

55 g glucose· 1H2O, 2.5 g KCl, 1.0 g MgSO4· 7H2O, 0.035 g CaCl2· 2H2O, 21.8 g (NH4)2HPO4 and 2.4 ml PTM1 trace salts stock solution; furthermore the pH was set to 5.0 with 25% HCl.

PTM1 trace salts stock solution contained per liter:

6.0 g CuSO4· 5H2O, 0.08 g NaI, 3.0 g MnSO4· H2O, 0.2 g Na2MoO4· 2H2O, 0.02 g H3BO3, 0.5 g CoCl2, 20.0 g ZnCl2, 65.0 g FeSO4· 7H2O, 0.2 g biotin and 5.0 ml H2SO4 (95 %-98 %). All chemicals for PTM1 trace salts stock solution were from Riedel-de Haën (Seelze, Germany), except for biotin (Sigma, St. Louis, MO, USA), and H2SO4 (Merck Eurolab).

After approximately 24 hours the batch was finished and a flow rate of F = 60.0 g h-1 of the dilution pump as well as of the harvest pump was started to adjust a dilution rate of D = 0.0429 h-1. The continuous fermentation was performed at least for 5 resident times τ to reach steady state conditions. Then the temperature was shifted to the other set point. Samples were taken after 3 and 5 τ and analyzed as described below.

Optical density

The samples were diluted in ddH2O up to 1:500 to measure the OD at 600 nm.

Biomass determination

2 × 5 ml culture were collected by centrifugation and the supernatants frozen for further analysis. The pellets were washed in ddH2O, centrifuged again, then the pellets were resuspended in ddH2O, transferred to a weighed beaker, dried at 105°C until constant weight.

Quantification of Fab (ELISA)

To determine the Fab content, 96 well microtiter plates (MaxiSorb, Nunc, Denmark) were coated with anti-hIgG (Fab specific) overnight at RT (1:1000 in PBS, pH 7.4), before serially diluted supernatants of P. pastoris cultures secreting 2F5 Fab starting with a 1:100 dilution in dilution buffer (PBS adjusted to pH 7.4 containing 0.1% Tween 20 and 1% BSA) were applied and incubated for 2 h at RT. Fab of normal IgG (Rockland Biopharmaceuticals) was used as a standard protein at a starting concentration of 200 ng/mL. After each incubation step the plates were washed four times with PBS containing 1% Tween 20 adjusted to pH 7.4. 100 μL of anti-kappa light chain – AP conjugate as secondary antibody (1:1000 in dilution buffer) were added to each well, and incubated for 1 h at RT. After washing, the plates were stained with pNPP (1 mg/ml p-nitrophenyl phosphate in coating buffer, 0.1 N Na2CO3/NaHCO3; pH 9.6) and read at 405 nm (reference wavelength 620 nm).

Immunofluorescent staining

Ethanol fixation and immunofluorescent staining were performed as described by [42]. Briefly, fixed cells were washed, blocked in Tris buffer containing 0.1% Triton X-100 and 2 % BSA (both Sigma) and incubated in 200 μl of this buffer and goat anti-hIgG (Fab specific) or goat anti-kappa light chain (both antibodies were applied as FITC conjugates and diluted 1:100). For the detection of intracellular BiP, rabbit anti-Grp78 (StressGen, Vancouver, BC, Canada) was used as described above. Anti-rabbit IgG – FITC conjugate (diluted 1:100) was used as secondary antibody. Finally cells were centrifuged and resuspended in 200 μl PBS, pH 7.4.

FCM measurements

Cells were analysed on a FACS Calibur (Becton Dickinson, Franklin Lakes, NJ USA) with a 488 nm Argon laser and a 630 nm diode laser. 104 cells were measured per analysis, using PBS as the sheath fluid. Immunofluorescent staining as well as total protein staining with FITC were measured through a 530/30 BP filter (FL1). Threshold settings were adjusted so that cell debris was excluded from data aquisition.

Immunofluorescence data were normalized to the cell size by dividing the FL1 fluorescence signals by their respective volume-corrected forward scatter signals (FSC) as illustrated in equation (1) [42], and calculating the median of these ratios.

r e l . f l u o r e s c e n c e = F L 1 F S C ( 3 2 ) MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGYbGCcqWGLbqzcqWGSbaBcqGGUaGlcqWGMbGzcqWGSbaBcqWG1bqDcqWGVbWBcqWGYbGCcqWGLbqzcqWGZbWCcqWGJbWycqWGLbqzcqWGUbGBcqWGJbWycqWGLbqzcqGH9aqpdaWcaaqaaiabdAeagjabdYeamjabigdaXaqaaiabdAeagjabdofatjabdoeadnaaCaaaleqabaWaaeWaaeaadaWcaaqaaiabiodaZaqaaiabikdaYaaaaiaawIcacaGLPaaaaaaaaaaa@4D54@

RNA isolation

The frozen cell pellet was resuspended in 1 mL of TRIzol (Invitrogen) and 500 μL of acid washed glass beads (425–600 μM diameters, Sigma) were added. Cells were disrupted with a FastPrep cell homogenizer (Thermo, Germany) using 6 m/s for 2 × 30 s and chilling the cells on ice inbetween. Total RNA was then extracted following the TRI protocol provided by the supplier. Extracted RNA was quantified by measuring OD230/260/280, as well as with the RiboGreen RNA quantitation kit (Invitogen). RNA integrity was checked with the Agilent Bioanalyzer and RNA 6000 Nano Assay kit (Agilent Technologies, California).

PolyA RNA concentration in the extracted total RNA samples was determined with the TRAC protocol described below without the addition of the specific detection probes, and measured with the RiboGreen RNA quantitation kit (Invitrogen).

Oligonucleotide detection probes

The transcript levels of 55 genes have been chosen as markers, with a great emphasis on folding/secretion related genes as well as general physiological markers. Apart from literature [21], our selection was based on previous microarray experiments [43]. The P. pastoris genome sequence data was derived from the ERGO database (Integrated Genomics, Chicago; IL), and the sequences of the gene specific probes are shown in Table 4.

Table 4 Marker genes used in TRAC analysis.

P. pastoris specific oligonucleotide probes were designed by using mathematical algorithms presented in [44]. Criteria used in probe selection were the following: melting temperature, Tm, limits 60 – 70°C, GC% limits 38 – 62, maximum free energy change in hybridisation ΔGH > -15 kcal/mol [45] and minimum target energy change, Ac, < -10 kcal/mol [46]. A maximum repeat size of 15 nt and maximum similarity of 80% were used as probe specificity criteria. Tms were calculated with the nearest neighbour method according to le Novére [45] using 10 nM nucleic acid and 750 mM salt concentrations. The double 6-carboxy fluorescein (6-FAM) labelled oligonucleotides were synthesized by Metabion (Germany).

As the hybridised probes were distinguished from each other based on their different size (ranging from 25 to 45 nucleotides), they had to be assigned into 5 pools such that the probes in the same pool have unique sizes different enough from each other. Quantification of transcript level was according to fluorescence intensity of the respective probes after standardisation.


For the transcriptional profiling, the rapid assay for multiplex transcript analysis based on solution hybridisation of oligonucleotide probes to target mRNA called TRAC presented in [14] was established for P. pastoris. Basically, target mRNAs are hybridized with a probe pool consisting of gene-specific oligonucleotide probes with double fluorophore label and biotinylated oligo (dT) and captured on streptavidin-coated magnetic particles. After removal of unbound material, the specific probes are eluted and detected by capillary electrophoresis.

Total RNA corresponding to 100 ng of polyA RNA were hybridized with 4pmol biotinylated oligo (dT) capture probe (Promega) and 1 pmol of each 6-FAM labelled detection probe in hybridisation buffer containing 5 × SSC, 0.2 % (w/v) SDS, 1 × Denhardt solution (0.02% Ficoll, 0.02% polyvinyl pyrrolidone, 0.02% BSA) and 3% dextran sulphate. After 40 min of incubation at 60°C, the 100 μL hybridisation reactions were transferred to a KingFisher 96 magnetic bead particle processor (Thermo Electron) and the following steps of affinity capture, washing and elution were automated in 96-well plates. Alternatively, these steps were performed manually with a 96 well magnetic stand (Promega) and a multichannel pipette (Eppendorf) for one of the temperature shift chemostats.

Affinity capture of the hybridized mRNA targets to 50 μg of streptavidin-coated MyOne Dynabeads (Invitrogen) was followed by several washing steps with decreasing salt concentration to remove unbound material. Briefly, the magnetic beads were washed twice with 1 × SSC, 0.1% SDS for 1.5 min each, then twice with 0.5 × SSC, 0.1 % SDS and finally with 0.1 × SSC, 0.1% SDS once (using 150 μL of the respective washing solution per well). The oligonucleotide probes were eluted to 10 μL of HighFidelity formamide (Applied Biosystems) containing GeneScan-120 LIZ size standard (diluted 1:500, Applied Biosystems) for 20 min at 37°C.

Separation and analysis of the oligonucleotide probes was carried out by capillary electrophoresis with an ABI 3100 Genetic Analyser (Applied Biosystems) and the GeneMapper software.

The individual probes were identified by their migration time (compared to the GeneScan LIZ-120 size standard), and quantified by their peak area. Quantification of transcript level was according to fluorescence intensity of the respective probes after standardisation with signal of the internal standard.

Internal standard

E. coli traT RNA was used as an internal standard in the hybridisations. The following PCR primers (Metabion, Martinsried, Germany) were used to synthesise, from E. coli DNA, a template containing the T7 promoter sequence and a 25 nt long T tail: 5' CTAATACGACTCACTATAGGGAGA-ATGAAAAAATTGATGATGGT and 3' TTTTTTTTTTTTTTTTTTTTTTTTT-CAGAGTGCGATTGATTTGGC. The traT RNA was transcribed in vitro by T7-RNA polymerase from this template, using the MEGAscript transcription kit (Ambion, Austin, TX) as recommended by the manufacturer. The synthesized traT RNA was quantified by Agilent Bioanalyser and RiboGreen RNA quantitation kit (Molecular Probes, Leiden, The Netherlands) as recommended by the manufacturer.

To enable the comparison of different samples equal amounts of in vitro transcribed bacterial RNA was added to each sample before the hybridisation, and its respective 6-FAM labelled detection probe was present in each individual probe pool.

Statistical data evaluation

The relative expression levels given here are based on fluorescence intensity per ng polyA RNA (FL).

TRAC analysis was performed in duplicates for each sample. Variation between these duplicate assays was analysed to calculate a method specific variation (S MV ). Additionally, for the temperature experiments, the variation between the two biological replicas, and the different labs (VTT Finland and IAM Vienna) where the TRAC measurements were performed, was determined (S BV ). The overall variation (S A ) was estimated by the incorporation of error propagation according to the equation (2) of Gauß:

s A = s M V 2 + s B V 2 . MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGZbWCdaWgaaWcbaGaemyqaeeabeaakiabg2da9maakaaabaGaem4Cam3aa0baaSqaaiabd2eanjabdAfawbqaaiabikdaYaaakiabgUcaRiabdohaZnaaDaaaleaacqWGcbGqcqWGwbGvaeaacqaIYaGmaaaabeaakiabc6caUaaa@3C02@

For the temperature experiments, the ratio of the FL in 20°C steady state to the FL in 25°C steady state samples was calculated individually for each of the two biological replicas. A Student t-test was performed to assess the probability (p values) that the FL 20°C does actually differ significantly from FL 25°C for each marker gene. Finally the mean ratio of the biological replicas was calculated for each probe and a Chi square (χ2) -test was performed to combine the individual probabilities obtained from the two independent measurements. The formula is displayed in equation (3), and is based on 2 k degrees of freedom, where k is the number of probabilities being combined. The procedure of significance testing was repeated for each gene.

χ2 = -2·∑ln(p)

Significant regulation was defined by the ratios being ± one, two or three times the overall standard deviation S A . Simultaneously the significance of FL 20°C being different from FL 25°C was evaluated based on the χ2 distribution resulting in the combined p values of the individual t-tests. Each of these two different criteria defines significance based on a different statistical test.

Estimation of the overall variance distributes the variance to all measurements, so that the probability of false negatives increases. To circumvent this problem, the significance of regulations at the single gene level was additionally determined with a t-test. Significant regulation is given if at least one of these criteria is valid. The combined individual probabilities of the two independent chemostat cultivations computed with a χ2-test (equation (3)) are stated in Figure 4 along with the mean ratio for each individual marker gene.


  1. Cereghino JL, Cregg JM: Heterologous protein expression in the methylotrophic yeast Pichia pastoris. FEMS Microbiol Rev. 2000, 24 (1): 45-66. 10.1111/j.1574-6976.2000.tb00532.x.

    Article  CAS  PubMed  Google Scholar 

  2. Macauley-Patrick S, Fazenda ML, McNeil B, Harvey LM: Heterologous protein production using the Pichia pastoris expression system. Yeast. 2005, 22 (4): 249-270. 10.1002/yea.1208.

    Article  CAS  PubMed  Google Scholar 

  3. Mattanovich D, Gasser B, Hohenblum H, Sauer M: Stress in recombinant protein producing yeasts. J Biotechnol. 2004, 113 (1-3): 121-135. 10.1016/j.jbiotec.2004.04.035.

    Article  CAS  PubMed  Google Scholar 

  4. Hohenblum H, Gasser B, Maurer M, Borth N, Mattanovich D: Effects of gene dosage, promoters, and substrates on unfolded protein stress of recombinant Pichia pastoris. Biotechnol Bioeng. 2004, 85 (4): 367-375. 10.1002/bit.10904.

    Article  CAS  PubMed  Google Scholar 

  5. Marx H, Sauer M, Resina D, Vai M, Porro D, Valero F, Ferrer P, Mattanovich D: Cloning, disruption and protein secretory phenotype of the GAS1 homologue of Pichia pastoris. FEMS Microbiol Lett. 2006, 264 (1): 40-47. 10.1111/j.1574-6968.2006.00427.x.

    Article  CAS  PubMed  Google Scholar 

  6. Resina D, Cos O, Ferrer P, Valero F: Developing high cell density fed-batch cultivation strategies for heterologous protein production in Pichia pastoris using the nitrogen source-regulated FLD1 Promoter. Biotechnol Bioeng. 2005, 91 (6): 760-767. 10.1002/bit.20545.

    Article  CAS  PubMed  Google Scholar 

  7. Gasser B, Maurer M, Gach J, Kunert R, Mattanovich D: Engineering of Pichia pastoris for improved production of antibody fragments. Biotechnol Bioeng. 2006, 94 (2): 353-361. 10.1002/bit.20851.

    Article  CAS  PubMed  Google Scholar 

  8. Gach JS, Maurer M, Hahn R, Gasser B, Mattanovich D, Katinger H, Kunert R: High level expression of a promising anti-idiotypic antibody fragment vaccine against HIV-1 in Pichia pastoris. J Biotechnol. 2007, 128 (4): 735-746. 10.1016/j.jbiotec.2006.12.020.

    Article  CAS  PubMed  Google Scholar 

  9. Ma Y, Hendershot LM: The unfolding tale of the unfolded protein response. Cell. 2001, 107 (7): 827-830. 10.1016/S0092-8674(01)00623-7.

    Article  CAS  PubMed  Google Scholar 

  10. Ma Y, Hendershot LM: ER chaperone functions during normal and stress conditions. J Chem Neuroanat. 2004, 28 (1-2): 51-65. 10.1016/j.jchemneu.2003.08.007.

    Article  CAS  PubMed  Google Scholar 

  11. Patil C, Walter P: Intracellular signaling from the endoplasmic reticulum to the nucleus: the unfolded protein response in yeast and mammals. Curr Opin Cell Biol. 2001, 13 (3): 349-355. 10.1016/S0955-0674(00)00219-2.

    Article  CAS  PubMed  Google Scholar 

  12. Valkonen M, Penttilä M, Saloheimo M: Effects of inactivation and constitutive expression of the unfolded- protein response pathway on protein production in the yeast Saccharomyces cerevisiae. Appl Environ Microbiol. 2003, 69 (4): 2065-2072. 10.1128/AEM.69.4.2065-2072.2003.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  13. Valkonen M, Ward M, Wang H, Penttila M, Saloheimo M: Improvement of foreign-protein production in Aspergillus niger var. awamori by constitutive induction of the unfolded-protein response. Appl Environ Microbiol. 2003, 69 (12): 6979-6986. 10.1128/AEM.69.12.6979-6986.2003.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Rautio JJ, Kataja K, Satokari R, Penttila M, Soderlund H, Saloheimo M: Rapid and multiplexed transcript analysis of microbial cultures using capillary electophoresis-detectable oligonucleotide probe pools. J Microbiol Methods. 2006, 65 (3): 404-416. 10.1016/j.mimet.2005.08.010.

    Article  CAS  PubMed  Google Scholar 

  15. Rautio JJ, Smit BA, Wiebe M, Penttila M, Saloheimo M: Transcriptional monitoring of steady state and effects of anaerobic phases in chemostat cultures of the filamentous fungus Trichoderma reesei. BMC Genomics. 2006, 7: 247-10.1186/1471-2164-7-247.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Li Z, Xiong F, Lin Q, d'Anjou M, Daugulis AJ, Yang DS, Hew CL: Low-temperature increases the yield of biologically active herring antifreeze protein in Pichia pastoris. Protein Expr Purif. 2001, 21 (3): 438-445. 10.1006/prep.2001.1395.

    Article  PubMed  Google Scholar 

  17. Jahic M, Gustavsson M, Jansen AK, Martinelle M, Enfors SO: Analysis and control of proteolysis of a fusion protein in Pichia pastoris fed-batch processes. J Biotechnol. 2003, 102 (1): 45-53. 10.1016/S0168-1656(03)00003-8.

    Article  CAS  PubMed  Google Scholar 

  18. Integrated Genomics: ERGO bioinformatics suite. []

  19. Overbeek R, Larsen N, Walunas T, D'Souza M, Pusch G, Selkov E, Liolios K, Joukov V, Kaznadzey D, Anderson I, Bhattacharyya A, Burd H, Gardner W, Hanke P, Kapatral V, Mikhailova N, Vasieva O, Osterman A, Vonstein V, Fonstein M, Ivanova N, Kyrpides N: The ERGO genome analysis and discovery system. Nucleic Acids Res. 2003, 31 (1): 164-171. 10.1093/nar/gkg148.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  20. project SGD: Saccharomyces Genome Database. []

  21. Travers KJ, Patil CK, Wodicka L, Lockhart DJ, Weissman JS, Walter P: Functional and genomic analyses reveal an essential coordination between the unfolded protein response and ER-associated degradation. Cell. 2000, 101 (3): 249-258. 10.1016/S0092-8674(00)80835-1.

    Article  CAS  PubMed  Google Scholar 

  22. Arvas M, Pakula T, Lanthaler K, Saloheimo M, Valkonen M, Suortti T, Robson G, Penttila M: Common features and interesting differences in transcriptional responses to secretion stress in the fungi Trichoderma reesei and Saccharomyces cerevisiae. BMC Genomics. 2006, 7: 32-10.1186/1471-2164-7-32.

    Article  PubMed Central  PubMed  Google Scholar 

  23. Patil CK, Li H, Walter P: Gcn4p and novel upstream activating sequences regulate targets of the unfolded protein response. PLoS Biol. 2004, 2 (8): E246-10.1371/journal.pbio.0020246.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Harding HP, Zhang Y, Zeng H, Novoa I, Lu PD, Calfon M, Sadri N, Yun C, Popko B, Paules R, Stojdl DF, Bell JC, Hettmann T, Leiden JM, Ron D: An integrated stress response regulates amino acid metabolism and resistance to oxidative stress. Mol Cell. 2003, 11 (3): 619-33. 10.1016/S1097-2765(03)00105-9.

    Article  CAS  PubMed  Google Scholar 

  25. Causton HC, Ren B, Koh SS, Harbison CT, Kanin E, Jennings EG, Lee TI, True HL, Lander ES, Young RA: Remodeling of yeast genome expression in response to environmental changes. Mol Biol Cell. 2001, 12 (2): 323-337.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  26. Rodriguez-Navarro S, Llorente B, Rodriguez-Manzaneque MT, Ramne A, Uber G, Marchesan D, Dujon B, Herrero E, Sunnerhagen P, Perez-Ortin JE: Functional analysis of yeast gene families involved in metabolism of vitamins B1 and B6. Yeast. 2002, 19 (14): 1261-1276. 10.1002/yea.916.

    Article  CAS  PubMed  Google Scholar 

  27. Gasch AP, Spellman PT, Kao CM, Carmel-Harel O, Eisen MB, Storz G, Botstein D, Brown PO: Genomic expression programs in the response of yeast cells to environmental changes. Mol Biol Cell. 2000, 11 (12): 4241-4257.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  28. Sims AH, Gent ME, Lanthaler K, Dunn-Coleman NS, Oliver SG, Robson GD: Transcriptome analysis of recombinant protein secretion by Aspergillus nidulans and the unfolded-protein response in vivo. Appl Environ Microbiol. 2005, 71 (5): 2737-2747. 10.1128/AEM.71.5.2737-2747.2005.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Xu P, Raden D, Doyle FJ, Robinson AS: Analysis of unfolded protein response during single-chain antibody expression in Saccaromyces cerevisiae reveals different roles for BiP and PDI in folding. Metab Eng. 2005, 7 (4): 269-279. 10.1016/j.ymben.2005.04.002.

    Article  CAS  PubMed  Google Scholar 

  30. Hackel BJ, Huang D, Bubolz JC, Wang XX, Shusta EV: Production of soluble and active transferrin receptor-targeting single-chain antibody using Saccharomyces cerevisiae. Pharm Res. 2006, 23 (4): 790-797. 10.1007/s11095-006-9778-7.

    Article  CAS  PubMed  Google Scholar 

  31. Werner ED, Brodsky JL, McCracken AA: Proteasome-dependent endoplasmic reticulum-associated protein degradation: an unconventional route to a familiar fate. Proc Natl Acad Sci U S A. 1996, 93 (24): 13797-13801. 10.1073/pnas.93.24.13797.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  32. Brodsky JL, Werner ED, Dubas ME, Goeckeler JL, Kruse KB, McCracken AA: The requirement for molecular chaperones during endoplasmic reticulum-associated protein degradation demonstrates that protein export and import are mechanistically distinct. J Biol Chem. 1999, 274 (6): 3453-3460. 10.1074/jbc.274.6.3453.

    Article  CAS  PubMed  Google Scholar 

  33. Taxis C, Hitt R, Park SH, Deak PM, Kostova Z, Wolf DH: Use of modular substrates demonstrates mechanistic diversity and reveals differences in chaperone requirement of ERAD. J Biol Chem. 2003, 278 (38): 35903-35913. 10.1074/jbc.M301080200.

    Article  CAS  PubMed  Google Scholar 

  34. Tsukada M, Gallwitz D: Isolation and characterization of SYS genes from yeast, multicopy suppressors of the functional loss of the transport GTPase Ypt6p. J Cell Sci. 1996, 109 ( Pt 10): 2471-2481.

    CAS  Google Scholar 

  35. Panadero J, Pallotti C, Rodriguez-Vargas S, Randez-Gil F, Prieto JA: A downshift in temperature activates the high osmolarity glycerol (HOG) pathway, which determines freeze tolerance in Saccharomyces cerevisiae. J Biol Chem. 2006, 281 (8): 4638-4645. 10.1074/jbc.M512736200.

    Article  CAS  PubMed  Google Scholar 

  36. Soto T, Beltran FF, Paredes V, Madrid M, Millar JB, Vicente-Soler J, Cansado J, Gacto M: Cold induces stress-activated protein kinase-mediated response in the fission yeast Schizosaccharomyces pombe. Eur J Biochem. 2002, 269 (20): 5056-5065. 10.1046/j.1432-1033.2002.03214.x.

    Article  CAS  PubMed  Google Scholar 

  37. Zhang L, Onda K, Imai R, Fukuda R, Horiuchi H, Ohta A: Growth temperature downshift induces antioxidant response in Saccharomyces cerevisiae. Biochem Biophys Res Commun. 2003, 307 (2): 308-314. 10.1016/S0006-291X(03)01168-9.

    Article  CAS  PubMed  Google Scholar 

  38. O'Kane D, Gill V, Boyd P, Burdon R: Chilling, oxidative stress and antioxidant responses in Arabidopsis thaliana callus. Planta. 1996, 198 (3): 371-377. 10.1007/BF00620053.

    Article  PubMed  Google Scholar 

  39. Michelsen K, Mrowiec T, Duderstadt KE, Frey S, Minor DL, Mayer MP, Schwappach B: A multimeric membrane protein reveals 14-3-3 isoform specificity in forward transport in yeast. Traffic. 2006, 7 (7): 903-916. 10.1111/j.1600-0854.2006.00430.x.

    Article  CAS  PubMed  Google Scholar 

  40. Prakash S, Prakash L: Nucleotide excision repair in yeast. Mutat Res. 2000, 451 (1-2): 13-24.

    Article  CAS  PubMed  Google Scholar 

  41. Maurer M, Kuhleitner M, Gasser B, Mattanovich D: Versatile modeling and optimization of fed batch processes for the production of secreted heterologous proteins with Pichia pastoris. Microb Cell Fact. 2006, 5: 37-10.1186/1475-2859-5-37.

    Article  PubMed Central  PubMed  Google Scholar 

  42. Hohenblum H, Borth N, Mattanovich D: Assessing viability and cell-associated product of recombinant protein producing Pichia pastoris with flow cytometry. J Biotechnol. 2003, 102 (3): 281-290. 10.1016/S0168-1656(03)00049-X.

    Article  CAS  PubMed  Google Scholar 

  43. Sauer M, Branduardi P, Gasser B, Valli M, Maurer M, Porro D, Mattanovich D: Differential gene expression in recombinant Pichia pastoris analysed by heterologous DNA microarray hybridisation. Microb Cell Fact. 2004, 3 (1): 17-10.1186/1475-2859-3-17.

    Article  PubMed Central  PubMed  Google Scholar 

  44. Kivioja T, Arvas M, Kataja K, Penttila M, Soderlund H, Ukkonen E: Assigning probes into a small number of pools separable by electrophoresis. Bioinformatics. 2002, 18 Suppl 1: S199-206.

    Article  PubMed  Google Scholar 

  45. Le Novere N: MELTING, computing the melting temperature of nucleic acid duplex. Bioinformatics. 2001, 17 (12): 1226-1227. 10.1093/bioinformatics/17.12.1226.

    Article  CAS  PubMed  Google Scholar 

  46. Luebke KJ, Balog RP, Garner HR: Prioritized selection of oligodeoxyribonucleotide probes for efficient hybridization to RNA transcripts. Nucleic Acids Res. 2003, 31 (2): 750-758. 10.1093/nar/gkg133.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  47. EBI-EMBL EBI: EPClust - Clustering, visualization, and analysis. []

Download references


Brigitte Gasser has been awarded a FEMS Research Fellowship to support her stay at VTT in Finland.

Part of this work was supported by the Austrian Science Fund (project No. I37-B03), the European Science Foundation (programme EuroSCOPE), and the Austrian Research Promotion Agency (programme FHplus).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Diethard Mattanovich.

Additional information

Authors' contributions

BG carried out the TRAC analysis, all data analysis and drafted the manuscript. MM designed and carried out all bioreactor cultivations. JR participated in the computer based design of the TRAC probes and data analysis. MiS participated in selection of the marker genes and design of the study. AB was involved in annotation of the P. pastoris genome. MaS participated in selection of the marker genes and design of the study. MP participated in the conception of the study. DM conceived of the study, and participated in statistical analysis and drafting of the manuscript.

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Gasser, B., Maurer, M., Rautio, J. et al. Monitoring of transcriptional regulation in Pichia pastoris under protein production conditions. BMC Genomics 8, 179 (2007).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: