Combinatorial expression vector engineering for tuning of recombinant protein production in Escherichia coli.

The complex and integrated nature of both genetic and protein level factors influencing recombinant protein production in Escherichia coli makes it difficult to predict the optimal expression strategy for a given protein. Here, two combinatorial library strategies were evaluated for their capability of tuning recombinant protein production in the cytoplasm of E. coli. Large expression vector libraries were constructed through either conservative (ExLib1) or free (ExLib2) randomization of a seven-amino-acid window strategically located between a degenerated start codon and a sequence encoding a fluorescently tagged target protein. Flow cytometric sorting and analyses of libraries, subpopulations or individual clones were followed by SDS-PAGE, western blotting, mass spectrometry and DNA sequencing analyses. For ExLib1, intracellular accumulation of soluble protein was shown to be affected by codon specific effects at some positions of the common N-terminal extension. Interestingly, for ExLib2 where the same sequence window was randomized via seven consecutive NN(G/T) tri-nucleotide repeats, high product levels (up to 24-fold higher than a reference clone) were associated with a preferential appearance of novel SD-like sequences. Possible mechanisms behind the observed effects are discussed.

Functional selection of phage displayed peptides for facilitated design of fusion tags improving aqueous two-phase partitioning of recombinant proteins.

Aqueous two-phase systems allow for the unequal distribution of proteins and other molecules in water-rich solutions containing phase separating polymers or surfactants. One approach to improve the partitioning properties of recombinant proteins is to produce the proteins as fused to certain peptide tags. However, the rational design of such tags has proven difficult since it involves a compromise between multivariate parameters such as partitioning properties, solvent accessibility and production/secretion efficiency. In this work, a novel approach for the identification of suitable peptide tag extensions has been investigated. Using the principles of selection, rather than design, peptide sequences contributing to an improved partitioning have been identified using phage display technology. A 40 million member phagemid library of random nona-peptides, displayed as fusion to the major coat protein pVIII of the filamentous phage M13, was employed in the selection of top-phase partitioning phage particles in a PEG/sodium phosphate system. After multiple cycles of selection by partitioning, peptides with high frequencies of both tyrosine and proline residues were found to be over represented in selected clones. The identified peptide sequences, or derivatives thereof, were subsequently individually analyzed for their partitioning behavior as displayed on phage, as free synthetic peptides and as genetically fused to a recombinant model target protein. The results showed that novel peptide sequences capable of enhancing top-phase partitioning without interfering with protein production and secretion indeed could be identified for the aqueous two-phase system investigated.