A team of scientists from the Broad Institute of MIT and Harvard, the McGovern Institute for Brain Research at MIT, the Institute for Medical Engineering and Science at MIT, and the Wyss Institute for Biologically Inspired Engineering at Harvard University has adapted a CRISPR protein that targets RNA (rather than DNA), for use as a rapid, inexpensive, highly sensitive diagnostic tool with the potential to transform research and global public health.
In a study published today in Science, Broad Institute members Feng Zhang, Jim Collins, Deb Hung, Aviv Regev, and Pardis Sabeti describe how this RNA-targeting CRISPR enzyme was harnessed as a highly sensitive detector — able to indicate the presence of as little as a single molecule of a target RNA or DNA. Co-first authors Omar Abudayyeh and Jonathan Gootenberg, graduate students at MIT and Harvard, respectively, dubbed the new tool SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing); this technology could one day be used to respond to viral and bacterial outbreaks, monitor antibiotic resistance, and detect cancer.
The scientists demonstrate the method’s versatility on a range of applications, including:
• detecting the presence of Zika virus in patient blood or urine samples within hours;
• distinguishing between the genetic sequences of African and American strains of Zika virus;
• discriminating specific types of bacteria, such as E. coli;
• detecting antibiotic resistance genes;
• identifying cancerous mutations in simulated cell-free DNA fragments; and
• rapidly reading human genetic information, such as risk of heart disease, from a saliva sample.
Because the tool can be designed for use as a paper-based test that does not require refrigeration, the researchers say it is well-suited for fast deployment and widespread use inside and outside of traditional settings — such as at a field hospital during an outbreak, or a rural clinic with limited access to advanced equipment.
“It’s exciting that the Cas13a enzyme, which was originally identified in our collaboration with Eugene Koonin to study the basic biology of bacterial immunity, can be harnessed to achieve such extraordinary sensitivity, which will be powerful for both science and clinical medicine,” says Feng Zhang, core institute member of the Broad Institute, an investigator at the McGovern Institute, and the James and Patricia Poitras ’63 Professor in Neuroscience and associate professor in the departments of Brain and Cognitive Sciences and Biological Engineering at MIT.
In June 2016, Zhang and his colleagues first characterized the RNA-targeting CRISPR enzyme, now called Cas13a (previously known as C2c2), which can be programmed to cleave particular RNA sequences in bacterial cells. Unlike DNA-targeting CRISPR enzymes (such as Cas9 and Cpf1), Cas13a can remain active after cutting its intended RNA target and may continue to cut other nontargeted RNAs in a burst of activity that Zhang lab scientists referred to as “collateral cleavage.” In their paper and patent filing, the team described a wide range of biotechnological applications for the system, including harnessing RNA cleavage and collateral activity for basic research, diagnostics, and therapeutics.
In a paper in Nature in September 2016, Jennifer Doudna, Alexandra East-Seletsky, and their colleagues at the University of California at Berkeley employed the Cas13a collateral cleavage activity for RNA detection. That method required the presence of many millions of molecules, however, and therefore lacked the sensitivity required for many research and clinical applications.
The method reported today is a million-fold more sensitive. This increase was the result of a collaboration between Zhang and his team and Broad Institute member Jim Collins, who had been working on diagnostics for Zika virus.
Working together, the Zhang and Collins teams were able to use a different amplification process, relying on body heat, to boost the levels of DNA or RNA in their test samples. Once the level was increased, the team applied a second amplification step to convert the DNA to RNA, which enabled them to increase the sensitivity of the RNA-targeting CRISPR by a millionfold, all with a tool that can be used in nearly any setting.
“We can now effectively and readily make sensors for any nucleic acid, which is incredibly powerful when you think of diagnostics and research applications,” says Collins, the Termeer Professor of Medical Engineering and Science at MIT and core faculty member at the Wyss Institute. “This tool offers the sensitivity that could detect an extremely small amount of cancer DNA in a patient’s blood sample, for example, which would help researchers understand how cancer mutates over time. For public health, it could help researchers monitor the frequency of antibiotic-resistant bacteria in a population. The scientific possibilities get very exciting very quickly.”
One of the most urgent and obvious applications for this new diagnostic tool would be as a rapid, point-of-care diagnostic for infectious disease outbreaks in resource-poor areas.
"There is great excitement around this system," says Deb Hung, co-author and co-director of the Broad's Infectious Disease and Microbiome Program. "There is still much work to be done, but if SHERLOCK can be developed to its full potential it could fundamentally change the diagnosis of common and emerging infectious diseases."
“One thing that’s especially powerful about SHERLOCK is its ability to start testing without a lot of complicated and time-consuming upstream experimental work,” says Pardis Sabeti, also a co-author in the paper. In the wake of the ongoing Zika outbreak, Sabeti and the members of her lab have been working to collect samples, rapidly sequence genomes, and share data in order to accelerate the outbreak response effort. “This ability to take raw samples and immediately start processing could transform the diagnosis of Zika and a boundless number of other infectious diseases,” she says. “This is just the beginning.”
Additional authors include Jeong Wook Lee, Patrick Essletzbichler, Aaron J. Dy, Julia Joung, Vanessa Verdine, Nina Donghia, Nichole M. Daringer, Catherine A. Freije, Cameron Myhrvold, Roby P. Bhattacharyya, Jonathan Livny, and Eugene V. Koonin.
de MIT News http://ift.tt/2oE7Kvt
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