
pmid: 21433291
AbstractUnderstanding the structures and functions of membrane proteins is an active area of research within bioscience. Membrane proteins are key players in essential cellular processes such as the uptake of nutrients, the export of waste products, and the way in which cells communicate with their environment. It is therefore not surprising that membrane proteins are targeted by over half of all prescription drugs. Since most membrane proteins are not abundant in their native membranes, it is necessary to produce them in recombinant host cells to enable further structural and functional studies. Unfortunately, achieving the required yields of functional recombinant membrane proteins is still a bottleneck in contemporary bioscience. This has highlighted the need for defined and rational optimization strategies based upon experimental observation rather than relying on trial and error. We have published a transcriptome and subsequent genetic analysis that has identified genes implicated in high‐yielding yeast cells. These results have highlighted a role for alterations to a cell's protein synthetic capacity in the production of high yields of recombinant membrane protein: paradoxically, reduced protein synthesis favors higher yields. These results highlight a potential bottleneck at the protein folding or translocation stage of protein production.
Translation, Protein Folding, Saccharomyces cerevisiae Proteins, Gene Expression Profiling, Membrane Proteins, Nuclear Proteins, RNA-Binding Proteins, Stress, Models, Biological, Yeast, Recombinant Proteins, Protein Transport, GTP-Binding Proteins, Protein Biosynthesis, Yeasts, Membrane proteins, Protein folding
Translation, Protein Folding, Saccharomyces cerevisiae Proteins, Gene Expression Profiling, Membrane Proteins, Nuclear Proteins, RNA-Binding Proteins, Stress, Models, Biological, Yeast, Recombinant Proteins, Protein Transport, GTP-Binding Proteins, Protein Biosynthesis, Yeasts, Membrane proteins, Protein folding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
