Analysis of unfolded protein response during single-chain antibody expression in Saccaromyces cerevisiae reveals different roles for BiP and PDI in folding

The production of recombinant proteins is a critical technology for biotechnology and biomedical research. Heterologous expression of secreted proteins can saturate the cell's capacity to properly fold protein, initiating the unfolded protein response (UPR), and resulting in a loss of protein expression. The overexpression of chaperone binding protein (BiP) and disulfide bond isomerase (PDI) in Saccaromyces cerevisiae can effectively increase protein production levels of single-chain antibody (scFv) 4-4-20. These studies show that overexpression of BiP did not reduce the UPR activated by heterologous protein expression; however, overexpression of PDI or co-overexpression of BiP and PDI could reduce the UPR. We observed that co-overexpression of BiP and PDI led to the greatest secretion of scFv from the cell, but BiP and PDI appear to interact with the newly synthesized scFv at different stages in the folding process, as determined by pulse-chase analysis. We propose that BiP acts primarily to facilitate translocation and retain unfolded or partially folded scFv, and PDI actively folds the scFv through its functions as a catalyst, and/or an isomerase, of disulfide bonds. Free BiP is released when scFv is folded, stabilizing Ire1p, and leading to the reduced UPR.     

Cooverexpression of chaperones for enhanced secretion of a single-chain antibody fragment in <Emphasis Type="Italic">Pichia pastoris</Emphasis>

In Pichia pastoris, secretion of the A33 single-chain antibody fragment (A33scFv) was shown to reach levels of approximately 4 g l⁻¹ in fermentor cultures. In this study, we investigated whether manipulating chaperone and foldase levels in P. pastoris could further increase secretion of A33scFv. Cells were engineered to cooverexpress immunoglobulin binding protein (BiP) and/or protein disulfide isomerase (PDI) with A33scFv during growth in methanol as the sole carbon and energy source. Cooverexpression of BiP resulted in increased secretion levels of A33scFv by approximately threefold. In contrast, cooverexpression of PDI had no apparent effect on secretion of A33scFv. In cells cooverexpressing BiP and PDI, A33scFv secretion did not increase and protein levels remained the same as the control strain. We believe that secretion of A33scFv is increased by cooverexpression of BiP as a result of an increase in folding capacity inside the endoplasmic reticulum (ER). In addition, lack of increased single-chain secretion when PDI is coexpressed was unexpected due to the presence of disulfide bonds in A33scFv. We also show that during PDI cooverexpression with the single-chain there is a sixfold increase in BiP levels, indicating that the former is possibly inducing an unfolded protein response due to excess chaperone and recombinant protein in the ER.     

Kinetic model of BiP- and PDI-mediated protein folding and assembly

A mechanism for heavy chain binding protein (BiP)- and protein disulfide isomerase (PDI)- mediated protein folding and assembly has been proposed. It considers BiP chaperoning action and PDI catalytic activity. A kinetic model has been developed based on the proposed mechanism. The model was used for quantifying the influence of polypeptide concentration and ratio, and the effect of BiP and PDI concentration on the kinetics of folding and assembly. An optimum value for polypeptide concentration that minimizes assembly times was found, and different kinetic behaviors were identified for polypeptide concentrations higher or lower than the optimum. Pulse-chase experiments and the dependence of assembly time on unassembled polypeptides ratio predicted by the model are similar to those found during in vitro and in vivo folding and assembly of antibodies and human chorionic gonadotropin (hCG), as well as bovine pancreatic trypsin inhibitor (BPTI) folding. The model also explains the increase in folding and assembly rates during overexpression of BiP and PDI.     

Modulation of Conotoxin Structure and Function Is Achieved through a Multienzyme Complex in the Venom Glands of Cone Snails

The oxidative folding of large polypeptides has been investigated in detail; however, comparatively little is known about the enzyme-assisted folding of small, disulfide-containing peptide substrates. To investigate the concerted effect of multiple enzymes on the folding of small disulfide-rich peptides, we sequenced and expressed protein-disulfide isomerase (PDI), peptidyl-prolyl cis-trans isomerase, and immunoglobulin-binding protein (BiP) from Conus venom glands. Conus PDI was shown to catalyze the oxidation and reduction of disulfide bonds in two conotoxins, α-GI and α-ImI. Oxidative folding rates were further increased in the presence of Conus PPI with the maximum effect observed in the presence of both enzymes. In contrast, Conus BiP was only observed to assist folding in the presence of microsomes, suggesting that additional co-factors were involved. The identification of a complex between BiP, PDI, and nascent conotoxins further suggests that the folding and assembly of conotoxins is a highly regulated multienzyme-assisted process. Unexpectedly, all three enzymes contributed to the folding of the ribbon isomer of α-ImI. Here, we identify this alternative disulfide-linked species in the venom of Conus imperialis, providing the first evidence for the existence of a “non-native” peptide isomer in the venom of cone snails. Thus, ER-resident enzymes act in concert to accelerate the oxidative folding of conotoxins and modulate their conformation and function by reconfiguring disulfide connectivities. This study has evaluated the role of a number of ER-resident enzymes in the folding of conotoxins, providing novel insights into the enzyme-guided assembly of these small, disulfide-rich peptides.     

BiP and PDI cooperate in the oxidative folding of antibodies in vitro

Immunoglobulin heavy chain binding protein (BiP), a member of the Hsp70 chaperone family, and the oxidoreductase protein-disulfide isomerase (PDI) play an important role in the folding and oxidation of proteins in the endoplasmic reticulum. However, it was not clear whether both cooperate in this process. We show here that BiP and PDI act synergistically in the in vitro folding of the denatured and reduced Fab fragment. Several ATP-dependent cycles of binding, release, and rebinding of the unfolded antibody chains by BiP are required for efficient reactivation. Our data suggest that in the absence of BiP unfolded antibody chains collapse rapidly upon refolding, rendering cysteine side chains inaccessible for PDI. BiP binds the unfolded polypeptide chains and keeps them in a conformation in which the cysteine residues are accessible for PDI. These findings support the idea of a network of folding helper proteins in the endoplasmic reticulum, which makes this organelle a dedicated protein-processing compartment.     

Protein disulfide isomerase, but not binding protein, overexpression enhances secretion of a non-disulfide-bonded protein in yeast

In eukaryotes, secretory proteins are folded and assembled in the endoplasmic reticulum (ER). Many heterologous proteins are retained in the ER due to suboptimal folding conditions. We previously reported that heterologous secretion of Pyrococcus furiosus beta-glucosidase in Saccharomyces cerevisiae resulted in the accumulation of a large fraction of inactive beta-glucosidase in the ER. In this work, we determine the effect of introducing additional genes of ER-resident yeast proteins, Kar2p (binding protein [BiP]) and protein disulfide isomerase (PDI), on relieving this bottleneck. Single-copy expression of BiP and PDI worked synergistically to improve secretion by reverse similar 60%. In an effort to optimize BiP and PDI interactions, we created a library of beta-glucosidase expression strains that incorporated four combinations of constitutively or inducibly-expressed BiP and PDI genes integrated to random gene copynumbers in the yeast chromosome. Approximately 15% of the transformants screened had secretion level improvements higher than that seen with single BiP/PDI gene overexpression, and the highest secreting strain had threefold higher beta-glucosidase levels than the control. Nineteen of the improved strains were re-examined for beta-glucosidase secretion as well as BiP and PDI levels. Within the improved transformants BiP and PDI levels ranged sevenfold and tenfold over the control, respectively. Interestingly, increasing BiP levels decreased beta-glucosidase secretion, whereas increasing PDI levels increased beta-glucosidase secretion. The action of PDI was unexpected because beta-glucosidase is not a disulfide-bonded protein. We suggest that PDI may be acting in a chaperone-like capacity or possibly creating mixed disulfides with the beta-glucosidase's lone cysteine residue during the folding and assembly process.     

Molecular cloning and gene expression of endoplasmic reticulum stress proteins in Japanese monkey, Macaca fuscata

BACKGROUND: Immunoglobulin heavy-chain binding protein (BiP), calreticulin (Crt), and protein disulfide isomerase (PDI), are major resident endoplasmic reticulum (ER) stress proteins which are involved in diverse roles relating to successful folding, assembly, intracellular localization, and degradation of other proteins. METHODS: In this study, we molecular cloned cDNAs for BiP, Crt, and PDI from Japanese monkey (Macaca fuscata), and analyzed tissue-specific expression of respective genes. RESULTS AND CONCLUSIONS: The lengths of protein-coding regions of these cDNAs for BiP, Crt and PDI are 1965, 1254, and 1533 bp, respectively. Each protein has a signal peptide and a KDEL motif in N- and C-terminal parts respectively, showing its intracellular localization to be the lumen of the ER. These stress proteins are highly conserved, showing that their similarities among mammals are more than 90% in the level of amino acid. The expression of the genes for stress proteins differed among the monkey tissues examined. BiP and PDI gene expression was predominant in secretory tissues such as liver and kidney, and brain tissues. But Crt gene expressed rather ubiquitously in a variety of tissues.     

Decreased enzyme activities of chaperones PDI and BiP in aged mouse livers

The endoplasmic reticulum (ER) is a target for endogenously generated reactive oxygen species (ROS) during aging. We have previously shown that the ER chaperones, protein disulfide isomerase (PDI) and immunoglobulin heavy chain binding protein (BiP), are oxidatively modified within the livers of aged mice. In this study we assess the functional consequences of the age-dependent oxidation of these two proteins. Specific activity measurements, performed on purified protein samples obtained from young and aged mouse livers, show definitive decreases in BiP ATPase activity and dramatic reductions in PDI enzymatic activity with age. Overall, these results suggest that protein folding and other activities mediated through PDI and BiP are diminished during aging. Furthermore, the relative loss of these chaperone-like activities could directly contribute to the age-dependent accumulation of misfolded proteins, a characteristic of the aging phenotype.     

Influence of the oxidoreductase ER57 on the folding of an antibody fab fragment

Oxidation and folding of secretory proteins in the endoplasmic reticulum (ER) depends on the presence of chaperones and oxidoreductases. Two of the oxidoreductases present in the ER of mammalian cells are protein disulfide isomerase (PDI) and ERp57. In this study, we investigated the influence of ERp57 on the in vitro reoxidation and refolding of an antibody Fab fragment. Our results show that ERp57 shares functional properties with PDI and that both are clearly different from other oxidoreductases. The reactivation of the denatured and reduced Fab fragment was enhanced significantly in the presence of ERp57 with kinetics and redox dependence of the reactivation reaction comparable to those obtained for PDI. These properties were not influenced by the presence of calnexin. Furthermore, whereas PDI cooperates with the immunoglobulin heavy chain binding protein (BiP), no synergistic effect could be observed for BiP and ERp57. These results indicate that the cooperation of the two oxidoreductases with different partner proteins may explain their different roles in the folding of proteins in the ER.     

Seasonal Invasion Dynamics in a Spatially Heterogeneous River with Fluctuating Flows

A key problem in environmental flow assessment is the explicit linking of the flow regime with ecological dynamics. We present a hybrid modeling approach to couple hydrodynamic and biological processes, focusing on the combined impact of spatial heterogeneity and temporal variability on population dynamics. Studying periodically alternating pool-riffle rivers that are subjected to seasonally varying flows, we obtain an invasion ratchet mechanism. We analyze the ratchet process for a caricature model and a hybrid physical–biological model. The water depth and current are derived from a hydrodynamic equation for variable stream bed water flows and these quantities feed into a reaction-diffusion-advection model that governs population dynamics of a river species. We establish the existence of spreading speeds and the invasion ratchet phenomenon, using a mixture of mathematical approximations and numerical computations. Finally, we illustrate the invasion ratchet phenomenon in a spatially two-dimensional hydraulic simulation model of a meandering river structure. Our hybrid modeling approach strengthens the ecological component of stream hydraulics and allows us to gain a mechanistic understanding as to how flow patterns affect population survival.     

A Mathematical-Biological Joint Effort to Investigate the Tumor-Initiating Ability of Cancer Stem Cells

The involvement of Cancer Stem Cells (CSCs) in tumor progression and tumor recurrence is one of the most studied subjects in current cancer research. The CSC hypothesis states that cancer cell populations are characterized by a hierarchical structure that affects cancer progression. Due to the complex dynamics involving CSCs and the other cancer cell subpopulations, a robust theory explaining their action has not been established yet. Some indications can be obtained by combining mathematical modeling and experimental data to understand tumor dynamics and to generate new experimental hypotheses. Here, we present a model describing the initial phase of ErbB2⁺ mammary cancer progression, which arises from a joint effort combing mathematical modeling and cancer biology. The proposed model represents a new approach to investigate the CSC-driven tumorigenesis and to analyze the relations among crucial events involving cancer cell subpopulations. Using in vivo and in vitro data we tuned the model to reproduce the initial dynamics of cancer growth, and we used its solution to characterize observed cancer progression with respect to mutual CSC and progenitor cell variation. The model was also used to investigate which association occurs among cell phenotypes when specific cell markers are considered. Finally, we found various correlations among model parameters which cannot be directly inferred from the available biological data and these dependencies were used to characterize the dynamics of cancer subpopulations during the initial phase of ErbB2⁺ mammary cancer progression.     

Integrative top-down system metabolic modeling in experimental disease states via data-driven Bayesian methods

Multivariate metabolic profiles from biofluids such as urine and plasma are highly indicative of the biological fitness of complex organisms and can be captured analytically in order to derive top-down systems biology models. The application of currently available modeling approaches to human and animal metabolic pathway modeling is problematic because of multicompartmental cellular and tissue exchange of metabolites operating on many time scales. Hence, novel approaches are needed to analyze metabolic data obtained using minimally invasive sampling methods in order to reconstruct the patho-physiological modulations of metabolic interactions that are representative of whole system dynamics. Here, we show that spectroscopically derived metabolic data in experimental liver injury studies (induced by hydrazine and alpha-napthylisothiocyanate treatment) can be used to derive insightful probabilistic graphical models of metabolite dependencies, which we refer to as metabolic interactome maps. Using these, system level mechanistic information on homeostasis can be inferred, and the degree of reversibility of induced lesions can be related to variations in the metabolic network patterns. This approach has wider application in assessment of system level dysfunction in animal or human studies from noninvasive measurements.     

Contrasting secretory processing of simultaneously expressed heterologous proteins in Saccharomyces cerevisiae

In this study, secretory processing of cell-surface displayed Aga2p fusions to bovine pancreatic trypsin inhibitor (BPTI) and the single chain Fv (scFv) antibody fragment D1.3 are examined. BPTI is more efficiently processed than D1.3 both when secreted and surface-displayed, and D1.3 expression imparts a greater amount of secretory stress on the cell as assayed by a reporter of the unfolded protein response (UPR). Surprisingly, simultaneous expression of the two proteins in the same cell somewhat improves BPTI surface display while decreasing D1.3 surface display with minimal effect on UPR activation. Furthermore, co-expression leads to the accumulation of punctate vacuolar aggregates of D1.3 and increased secretion of the D1.3-Aga2p fusion into the supernatant. Overexpression of the folding chaperones protein disulfide isomerase (PDI) and BiP largely mitigates the D1.3 surface expression decrease, suggesting that changes in vacuolar and cell surface targeting may be due, in part, to folding inefficiency. Titration of constitutive UPR expression across a broad range progressively decreases surface display of both proteins as UPR increases. D1.3-Aga2p traffic through the late secretory pathway appears to be strongly affected by overall secretory load as well as folding conditions in the ER.     

Gene sequencing, modelling and immunolocalization of the protein disulfide isomerase from Plasmodium chabaudi

Malaria remains one of the major human parasitic diseases, particularly in subtropical regions. Most of the fatal cases are caused by Plasmodium falciparum. The rodent parasite Plasmodium chabaudi has been the model of choice in research due to its similarities to human malaria, including developmental cycle, preferential invasion of mature erythrocytes, synchrony of asexual development, antigenic variation, gene sinteny as well as similar resistance mechanisms. Protein disulfide isomerase (PDI) is an essential catalyst of the endoplasmic reticulum in different biological systems with folding and chaperone activities. Most of the proteins exported by parasites have to pass through the endoplasmic reticulum before reaching their final destination and their correct folding is critical for parasite survival. PDI constitutes a potential target for the development of alternative therapy strategies based on the inhibition of folding and chaperoning of exported proteins. We here describe the sequencing of the gene coding for the PDI from P. chabaudi and analyse the relationship to its counterpart enzymes, particularly with the PDI from other Plasmodium species. The model constructed, based on the recent model deduced from the crystallographic structure 2B5E, was compared with the previous theoretical model for the whole PDI molecule constructed by threading. A recombinant PDI from P. chabaudi was also produced and used as an antigen for monoclonal antibody production for application in PDI immunolocalization.     

A developmentally regulated chaperone complex for the endoplasmic reticulum of male haploid germ cells

Glycoprotein folding is mediated by lectin-like chaperones and protein disulfide isomerases (PDIs) in the endoplasmic reticulum. Calnexin and the PDI homologue ERp57 work together to help fold nascent polypeptides with glycans located toward the N-terminus of a protein, whereas PDI and BiP may engage proteins that lack glycans or have sugars toward the C-terminus. In this study, we show that the PDI homologue PDILT is expressed exclusively in postmeiotic male germ cells, in contrast to the ubiquitous expression of many other PDI family members in the testis. PDILT is induced during puberty and represents the first example of a PDI family member under developmental control. We find that PDILT is not active as an oxido-reductase, but interacts with the model peptide Delta-somatostatin and nonnative bovine pancreatic trypsin inhibitor in vitro, indicative of chaperone activity. In vivo, PDILT forms a tissue-specific chaperone complex with the calnexin homologue calmegin. The identification of a redox-inactive chaperone partnership defines a new system of testis-specific protein folding with implications for male fertility.     

FKBP22 is part of chaperone/folding catalyst complexes in the endoplasmic reticulum of Neurospora crassa

FKBP22 is a dimeric protein in the lumen of the endoplasmic reticulum, which exhibits a chaperone as well as a PPIase activity. It binds via its FK506 binding protein (FKBP) domain directly to the Hsp70 chaperone BiP that stimulates the chaperone activity of FKBP22. Here we demonstrate additionally the association of FKBP22 with the molecular chaperones and folding catalysts Grp170, alpha-subunit of glucosidase II, PDI, ERp38, and CyP23. These proteins are associated with FKBP22 in at least two protein complexes. Furthermore, we report an essential role for FKBP22 in the development of microconidiophores in Neurospora crassa.     

Metabolic ensemble modeling for strain engineers

Previous mathematical modeling efforts have made significant contributions to the development of systems biology for predicting biological behavior quantitatively. However, dynamic metabolic model construction remains challenging due to uncertainties in mechanistic structures and parameters. In addition, parameter estimation and model validation often require designated experiments conducted only for purpose of modeling. Such difficulties have hampered the progress of modeling in biology and biotechnology. To circumvent these problems, ensemble approaches have been used to account for uncertainties in model structure and parameters. Specifically, this review focuses on approaches that utilize readily available fermentation data for parameter screening and model validation. Time course data for metabolite measurements, if available, can further calibrate the model. The basis for this approach is explained in non-mathematical terms accessible to experimentalists. Information gained from such an approach has been shown to be useful in designing Escherichia coli strains for metabolic engineering and synthetic biology.     

The layer-oriented approach to declarative languages for biological modeling

We present a new approach to modeling languages for computational biology, which we call the layer-oriented approach. The approach stems from the observation that many diverse biological phenomena are described using a small set of mathematical formalisms (e.g. differential equations), while at the same time different domains and subdomains of computational biology require that models are structured according to the accepted terminology and classification of that domain. Our approach uses distinct semantic layers to represent the domain-specific biological concepts and the underlying mathematical formalisms. Additional functionality can be transparently added to the language by adding more layers. This approach is specifically concerned with declarative languages, and throughout the paper we note some of the limitations inherent to declarative approaches. The layer-oriented approach is a way to specify explicitly how high-level biological modeling concepts are mapped to a computational representation, while abstracting away details of particular programming languages and simulation environments. To illustrate this process, we define an example language for describing models of ionic currents, and use a general mathematical notation for semantic transformations to show how to generate model simulation code for various simulation environments. We use the example language to describe a Purkinje neuron model and demonstrate how the layer-oriented approach can be used for solving several practical issues of computational neuroscience model development. We discuss the advantages and limitations of the approach in comparison with other modeling language efforts in the domain of computational biology and outline some principles for extensible, flexible modeling language design. We conclude by describing in detail the semantic transformations defined for our language.