Localization of BiP to translating ribosomes increases soluble accumulation of secreted eukaryotic proteins in an Escherichia coli cell-free system.

The endoplasmic reticulum (ER) resident Hsp70 chaperone, BiP, docks to the Sec translocon and interacts co-translationally with polypeptides entering the ER to encourage proper folding. In order to recreate this interaction in Escherichia coli cell-free protein synthesis (CFPS) reactions, a fusion protein was formed between the ribosome-binding portion of the E. coli protein trigger factor (TF) and BiP. The biophysical affinity to ribosomes as well as the characteristic Hsp70 ATPase activity were both verified for the fusion protein. When added to E. coli-based CFPS reactions, the TF-BiP fusion chaperone increased soluble yields of several protein fragments that are normally secreted through the ER and have poor solubility in typical CFPS reactions. For comparison, a fusion between TF and the native E. coli Hsp70, DnaK, was also constructed. This fusion was also biologically active and increased soluble yields of certain protein targets in CFPS. The TF-BiP fusion described in this study can be seen as a first step in reconstituting and better understanding ER folding pathways in the prokaryotic environment of E. coli CFPS.

Genome-scale analysis of anti-metabolite directed strain engineering.

Classic strain engineering methods have previously been limited by the low-throughput of conventional sequencing technology. Here, we applied a new genomics technology, scalar analysis of library enrichments (SCALEs), to measure >3 million Escherichia coli genomic library clone enrichment patterns resulting from growth selections employing three aspartic-acid anti-metabolites. Our objective was to assess the extent to which access to genome-scale enrichment patterns would provide strain-engineering insights not reasonably accessible through the use of conventional sequencing. We determined that the SCALEs method identified a surprisingly large range of anti-metabolite tolerance regions (423, 865, or 909 regions for each of the three anti-metabolites) when compared to the number of regions (1-3 regions) indicated by conventional sequencing. Genome-scale methods uniquely enable the calculation of clone fitness values by providing concentration data for all clones within a genomic library before and after a period of selection. We observed that clone fitness values differ substantially from clone concentration values and that this is due to differences in overall clone fitness distributions for each selection. Finally, we show that many of the clones of highest fitness overlapped across all selections, suggesting that inhibition of aspartate metabolism, as opposed to specific inhibited enzymes, dominated each selection. Our follow up studies confirmed our observed growth phenotypes and showed that intracellular amino-acid levels were also altered in several of the identified clones. These results demonstrate that genome-scale methods, such as SCALEs, can be used to dramatically improve understanding of classic strain engineering approaches.

Comparing the functional properties of the Hsp70 chaperones, DnaK and BiP.

The Hsp70 family of molecular chaperones is an essential class of chaperones that is present in many different cell types and cellular compartments. We have compared the bioactivities of the prokaryotic cytosolic Hsp70, DnaK, to that of the eukaryotic Hsp70, BiP, located in the endoplasmic reticulum (ER). Both chaperones helped to prevent protein aggregation. However, only DnaK provided enhanced refolding of denatured proteins. We also tested chaperone folding assistance during translation in the context of cell-free protein synthesis reactions for several protein targets and show that both DnaK and BiP can provide folding assistance under these conditions. Our results support previous reports suggesting that DnaK provides both post-translational and co-translational folding assistance while BiP predominantly provides folding assistance that is contemporaneous with translation.

A comparative study of metabolic engineering anti-metabolite tolerance in Escherichia coli.

A problem in strain engineering is that mutations that benefit the expression of a phenotype in one environment may impose a cost to biological fitness in a new environment. The overall objective of this study was to improve understanding of this phenomenon within the context of a classic anti-metabolite selection strategy. We have engineered Escherichia coli using three mutagenesis techniques (chemical mutagenesis, insertional mutagenesis, and plasmid-based overexpression) and assessed the relative costs and benefits to biological fitness of mutants selected for tolerance to five amino acid analogs whose target amino acids (glutamatic acid, aspartic acid, tryptophan, glycine, and serine) differ in metabolic connectivity and biosynthetic energy requirements. Our major findings include (i) the fold increase in anti-metabolite tolerance, independent of mutagenesis strategy, was much greater for aspartic acid beta-hydroxamate (AAH) compared to all other tested hydroxamates, (ii) increased tolerance to glutamic acid gamma-hydroxamate (GAH) was not achieved using any of the mutagenesis strategies, and (iii) characteristics of the anti-metabolite, rather than those of the corresponding metabolite, were more important in determining the ability to increase tolerance.

Amino acid content of recombinant proteins influences the metabolic burden response.

Recombinant protein production in Escherichia coli often results in a dramatic cellular stress response best characterized by a decrease in overall cell fitness. We determined that the primary sequence (the amino acid sequence) of the recombinant protein alone plays an important role in mitigating this response. To do so, we created two polypeptides, modeled after the 39-40 amino acid Defensin class of proteins, which contained exclusively the five least (PepAA; His, Trp, Tyr, Phe, Met), or most (PepCO: Ala, Glu, Gln, Asp, Asn) abundant amino acids in E. coli. We determined that overexpression of PepAA resulted in a drastic decrease in growth rate compared to overexpression of PepCO, our model Defensin protein MGD-1, or the 26 amino acid polypeptide contained within the pET-3d vector backbone. We further determined, using Affymetrix E. coli gene chips, that differences among the whole-genome transcriptional responses of these model systems were best characterized by altered expression of genes whose products are involved in translation, transport, or metabolic functions as opposed to stress response genes. Based on these results, we confirmed that translation efficiency was significantly reduced in cells overexpressing PepAA compared with the other model polypeptides evaluated.