A unique method to screen large-scale libraries for industrially useful bacterial strains was recently developed by Tokyo Tech researchers. The simple approach combines biosensors and microfluidics to quickly identify mutant strains that secrete large amounts of industrially useful proteins, opening the doors to more applications, like reasonably priced biopharmaceuticals.
With modern genetic engineering tools, it is now possible to modify microorganisms so that their production of industrially useful proteins - such as those used in biopharmaceuticals—is enhanced. By introducing genetic modifications into these organisms, we can use them as biological factories to produce large quantities of the desired protein. Bacteria with this enhanced ability can produce insulin, growth hormones, and enzymes. This approach of increasing microbial secretory protein expression has led to breakthroughs in medicine, industry, and agriculture.
Nonetheless, the traditional method of genetically engineering bacterial strains for high protein production is extremely time consuming. This is because it relies on introducing genetic modifications in individual strains and evaluating the effectiveness of protein production.
As an alternative, researchers sometimes rely on screening of large-scale libraries for identifying strains which secrete a high amount of protein. This enables the extraction of only those strains that are the best at producing the desired protein. Unfortunately, current screening techniques rely on multiple chemical treatments and are either too slow or too complicated.
Microfluidics and biosensing
To overcome these limitations, a team of researchers has now developed a novel, high-throughput mutant strain screening method. The study was led by Associate Professor Tetsuya Kitaguchi from Tokyo Institute of Technology (Tokyo Tech), Japan, and was conducted in collaboration with Ajinomoto Co., Inc.
The innovative method, which combines microfluidics and versatile biosensing to quickly identify enhanced bacterial strains that produce the highest amount of a desired protein, is reported in their study published in the journal Small.
To this end, the researchers first used a type of biosensor called Q-body to measure the amount of the desired protein produced by each strain. Q-bodies are artificial antibodies which become fluorescent on binding to their target. In this case, they were designed to bind to the desired protein, establishing a connection between fluorescence intensity and target protein production.
In addition, the team also devised a protocol for sorting the mutant strains based on their performance. Using microfluidic technology, tiny droplets of water containing individual bacteria and Q-bodies were introduced in an oil emulsion, taking advantage of oil and water’s mutual immiscibility. These tiny droplets were used as microscopic bacterial cultures and reactors.
After 48 hours of incubation, these oil-covered water droplets were encapsulated yet again, in a water emulsion, and sent through a flow cytometer. This device uses a laser and a detector to measure the fluorescence of each individual droplet. Following this, it employs a sorting mechanism to separate droplets with higher fluorescence intensity.
The researchers put their method to the test by screening a huge library of bacterial strains created to produce FGF9, a human cytokine, and subjected to circumstances that cause random mutations. Using this method, the team was able to identify a mutant strain that produced three times as much FGF9 compared to the control strain.
Dr. Kitaguchi said: “The entire screening process of 106 mutants was completed in approximately three days, surpassing the throughput of culture evaluation methods that use the latest automated lab instruments.”
Going ahead, the team has high expectations; they hope their proposed method will have a significant impact on the pharmaceutical industry due to its simplicity, accuracy, and versatility.
Dr. Kitaguchi said: “Applying our screening method for the development of biopharmaceutical proteins may dramatically shorten the time required to establish highly productive industrial microbial strains. We thus believe that this study can contribute to the inexpensive manufacture of various biopharmaceutical proteins.
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