Expression vector

Résumé

An expression vector, otherwise known as an expression construct, is usually a plasmid or virus designed for gene expression in cells. The vector is used to introduce a specific gene into a target cell, and can commandeer the cell's mechanism for protein synthesis to produce the protein encoded by the gene. Expression vectors are the basic tools in biotechnology for the production of proteins. The vector is engineered to contain regulatory sequences that act as enhancer and promoter regions and lead to efficient transcription of the gene carried on the expression vector. The goal of a well-designed expression vector is the efficient production of protein, and this may be achieved by the production of significant amount of stable messenger RNA, which can then be translated into protein. The expression of a protein may be tightly controlled, and the protein is only produced in significant quantity when necessary through the use of an inducer, in some systems however the protein may b

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Deregulated energy homeostasis represents a hallmark of aging and results from complex gene-by-environment interactions. Here, we discovered that reducing the expression of the gene ech-6 encoding enoyl-CoA hydratase remitted fat diet-induced deleterious effects on lifespan in Caenorhabditis elegans, while a basal expression of ech-6 was important for survival under normal dietary conditions. Lipidomics revealed that supplementation of fat in ech-6-silenced worms had marginal effects on lipid profiles, suggesting an alternative fat utilization for energy production. Transcriptomics further suggest a causal relation between the lysosomal pathway, energy production, and the longevity effect conferred by the interaction between ech-6 and fat diets. Indeed, enhancing energy production from endogenous fat by overexpressing lysosomal lipase lipl-4 recapitulated the lifespan effects of fat diets on ech-6-silenced worms. Collectively, these results suggest that the gene ech-6 is potential modulator of metabolic flexibility and may be a target for promoting metabolic health and longevity.

NATURE PORTFOLIO2022

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Transcription factor binding to a single binding site on DNA and its functional consequence in a promoter context are beginning to be relatively well understood. However, binding to clusters of sites has yet to be characterized in depth, and the functional relevance of binding site clusters remains uncertain. We employed a high-throughput biochemical method to characterize transcription factor binding to clusters varying across a range of affinities and configurations. We found that transcription factors can bind concurrently to overlapping sites, challenging the notion of binding exclusivity. Furthermore, compared to an individual high-affinity binding site, small clusters with binding sites an order of magnitude lower in affinity give rise to higher mean occupancies at physiologically-relevant transcription factor concentrations in vitro. To assess whether the observed in vitro occupancies translate to transcriptional activation in vivo, we tested low-affinity binding site clusters by inserting them into a synthetic minimal CYC1 and the native PHO5 S. cerevisiae promoter. In the minCYC1 promoter, clusters of low-affinity binding sites can generate transcriptional output comparable to a promoter containing three consensus binding sites. In the PHO5 promoter, replacing the native Pho4 binding sites with clusters of low-affinity binding sites recovered activation of these promoters as well. This systematic characterization demonstrates that clusters of low-affinity binding sites achieve substantial occupancies, and that this occupancy can drive expression in eukaryotic promoters. In the antibody discovery phase, before advancing a particular antibody sequence to clinical trials, a large number of candidates are characterized for properties of therapeutic interest. Above all, this includes their ability to bind to the target antigen. Standard processes currently in use to characterize antibody binding are either only semi-quantitative (ELISA), or low-throughput (SPR). We developed an experimental process to first retrieve DNA encoding promising synthetic antibody variants directly from the output pools of phage and ribosome display methods, followed by expressing these variants on a microfluidic chip for characterization in a fluorescence-based binding assay. We applied our method to characterize the binding of retrieved Sybody variants against the Spike trimer and RBD domain of the SARS-CoV-2 variant. After an initial proof-of-concept, we improved our method by removing bottlenecks, reducing costs, and incorporating a large degree of process automation to enable measuring binding affinities at scale.

EPFL2022

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The market for recombinant therapeutic proteins (including antibodies) is estimated to be greater than $50-billion and has a compounded annual growth rate of around 20%. More than 50% of all approved processes for manufacturing recombinant proteins use mammalian cells as expression hosts due to their ability to carry out complex assembly and processing, human-like glycosylation and secretion of proteins. This percentage is not expected to change and should even increase with time. Classically, these manufacturing processes use stable cell lines for protein expression, wherein the plasmid coding for the protein of interest is stably integrated into the host cell chromosomes (Stable Gene Expression, SGE). An alternative method for expressing recombinant proteins is Transient Gene Expression (TGE). Herein, the expression of the protein of interest takes place from plasmids which are transfected into the cells and are maintained extra-chromosomally. TGE has become a rapid and easy method for obtaining proteins for structural, biochemical or pre-clinical studies, where only small amounts of one or more proteins might be required. As yet, TGE has not been used for manufacturing recombinant proteins for clinical testing or approved clinical use due to the requirement of large amounts of protein of consistent quality. Even though TGE has been scaled-up to the 100-liter scale and is being attempted at the 1000-liter scale, due to low specific productivity, low volumetric yields and the high cost of DNA, TGE processes are not able to economically produce sufficient amounts of proteins for such purposes. Therefore, the goal of this thesis was to improve TGE in order to create high-titer processes, which would be economically more feasible for manufacturing large-amounts of recombinant proteins. This was achieved by: Improving and simplifying gene delivery – by the combination of high cell density at time of transfection and in-situ complex formation (as apposed to a-priori complex formation), we could enhance protein expression levels and gene delivery. This made implementation more robust and easy, with greater choice of media which could be used and cell density which could be maintained. Improving gene expression – by using a combination of inhibitors of histone deacetylases like valproic acid, and growth factors like acidic fibroblast growth factor, we could enhance specific productivity by ∼20-fold. Enhancing the cell densities at which cells could be maintained after transfection – by the combination of cell cycle regulators like human p18 and p21 and treatment with inhibitors of histone deacetylases, we blocked cell growth which allowed cells to be maintained at significantly higher cell densities, allowing us to enhance volumetric productivity by ∼100-fold. Overall these improvements allowed antibody titers in excess of 1 g/l. The gram per liter range of volumetric productivity has previously only been reported for optimized SGE based manufacturing processes. We therefore improved the economic feasibility of TGE for manufacturing recombinant proteins and reduced the difference in manufacturing costs between TGE and SGE, for a given amount of protein, by an estimated 50-fold. With some further development work and study of related issues like protein quality, TGE based processes can be expected to become part of mainstream recombinant protein manufacturing in the future.

EPFL2008

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