Picking proteins in bacterial outer space
Nature Biotechnology pp 537 - 542 and pp 528 - 529
Scientists have long been using "display" techniques to help them find enzymes, antibodies, and proteins of potential interest for industrial and medical applications. Now a new technique, which exploits the ability of bacteria to express proteins in the space between their cell wall and membrane, should both expand the range and accelerate the discovery of novel proteins as well as allowing screening for drug molecules that bind to them.
In standard protein display technologies, proteins are displayed on the surface of viruses or cells. The gene encoding a protein of interest is fused to a gene in a virus or cell in such a way that the fusion protein is transported to the surface of the particle. Millions of random variants of the protein of interest, each displayed on its own particle, are then screened for their ability to bind a desired target. However, many proteins can't be displayed in this way (e.g., because fusion to the virus coat may disrupt protein activity), limiting the diversity of the library and reducing the chances of finding a tight-binding protein.
In this issue, George Georgiou and his colleagues have developed an approach that avoids the need to "display" proteins on the surface of viruses or cells. They have expressed a collection of proteins in the bacterial "periplasm," the space between the bacterium's outer and inner membranes—which provides good conditions for natural protein folding and activity and avoids the need for fusion to the displaying system (e.g., a virus or cell).
To find molecules that bound to the expressed proteins, the researchers manipulated the experimental conditions to make the bacterial wall permeable to binding molecules labeled with a fluorescent chemical. After bacteria had been washed, any bugs containing bound fluorescently labeled molecules could then be detected by an automated fluorescent cell sorter. Using this method, the researchers were able to evolve an antibody that bound its target twice as tightly as the starting antibody. The method should work equally well for finding enzymes with improved functionality in industrial applications.