Finding a way in

Our perception of the world arises within the brain, based on sensory information that is sometimes ambiguous, allowing more than one interpretation. Familiar demonstrations of this point include the famous Necker cube and the “duck-rabbit” drawing (right) in which two different interpretations flip back and forth over time.

Another example is binocular rivalry, in which the two eyes are presented with different images that are perceived in alternation. Several years ago, this phenomenon caught the eye of Caroline Robertson, who is now a Harvard Fellow working in the lab of McGovern Investigator Nancy Kanwisher. Back when she was a graduate student at Cambridge University, Robertson realized that binocular rivalry might be used to probe the basis of autism, among the most mysterious of all brain disorders.

Robertson’s idea was based on the hypothesis that autism involves an imbalance between excitation and inhibition within the brain. Although widely supported by indirect evidence, this has been very difficult to test directly in human patients. Robertson realized that binocular rivalry might provide a way to perform such a test. The perceptual switches that occur during rivalry are thought to involve competition between different groups of neurons in the visual cortex, each group reinforcing its own interpretation via excitatory connections while suppressing the alternative interpretation through inhibitory connections. Thus, if the balance is altered in the brains of people with autism, the frequency of switching might also be different, providing a simple and easily measurable marker of the disease state.

To test this idea, Robertson recruited adults with and without autism, and presented them with two distinct and differently colored images in each eye. As expected, their perceptions switched back and forth between the two images, with short periods of mixed perception in between. This was true for both groups, but when she measured the timing of these switches, Robertson found that individuals with autism do indeed see the world in a measurably different way than people without the disorder. Individuals with autism cycle between the left and right images more slowly, with the intervening periods of mixed perception lasting longer than in people without autism. The more severe their autistic symptoms, as determined by a standard clinical behavioral evaluation, the greater the difference.

Robertson had found a marker for autism that is more objective than current methods that involve one person assessing the behavior of another. The measure is immediate and relies on brain activity that happens automatically, without people thinking about it. “Sensation is a very simple place to probe,” she says.

A top-down approach

When she arrived in Kanwisher’s lab, Robertson wanted to use brain imaging to probe the basis for the perceptual phenomenon that she had discovered. With Kanwisher’s encouragement, she began by repeating the behavioral experiment with a new group of subjects, to check that her previous results were not a fluke. Having confirmed that the finding was real, she then scanned the subjects using an imaging method called Magnetic Resonance Spectroscopy (MRS), in which an MRI scanner is reprogrammed to measure concentrations of neurotransmitters and other chemicals in the brain. Kanwisher had never used MRS before, but when Robertson proposed the experiment, she was happy to try it. “Nancy’s the kind of mentor who could support the idea of using a new technique and guide me to approach it rigorously,” says Robertson.

For each of her subjects, Robertson scanned their brains to measure the amounts of two key neurotransmitters, glutamate, which is the main excitatory transmitter in the brain, and GABA, which is the main source of inhibition. When she compared the brain chemistry to the behavioral results in the binocular rivalry task, she saw something intriguing and unexpected. In people without autism, the amount of GABA in the visual cortex was correlated with the strength of the suppression, consistent with the idea that GABA enables signals from one eye to inhibit those from the other eye. But surprisingly, there was no such correlation in the autistic individuals—suggesting that GABA was somehow unable to exert its normal suppressive effect. It isn’t yet clear exactly what is going wrong in the brains of these subjects, but it’s an early flag, says Robertson. “The next step is figuring out which part of the pathway is disrupted.”

A bottom-up approach

Robertson’s approach starts from the top-down, working backward from a measurable behavior to look for brain differences, but it isn’t the only way in. Another approach is to start with genes that are linked to autism in humans, and to understand how they affect neurons and brain circuits. This is the bottom-up approach of McGovern Investigator Guoping Feng, who studies a gene called Shank3 that codes for a protein that helps build synapses, the connections through which neurons send signals to each other. Several years ago Feng knocked out Shank3 in mice, and found that the mice exhibited behaviors reminiscent of human autism, including repetitive grooming, anxiety, and impaired social interaction and motor control.

These earlier studies involved a variety of different mutations that disabled the Shank3 gene. But when postdoc Yang Zhou joined Feng’s lab, he brought a new perspective. Zhou had come from a medical background and wanted to do an experiment more directly connected to human disease. So he suggested making a mouse version of a Shank3 mutation seen in human patients, and testing its effects.

Zhou’s experiment would require precise editing of the mouse Shank3 gene, previously a difficult and time-consuming task. But help was at hand, in the form of a collaboration with McGovern Investigator Feng Zhang, a pioneer in the development of genome-editing methods.

Using Zhang’s techniques, Zhou was able to generate mice with two different mutations: one that had been linked to human autism, and another that had been discovered in a few patients with schizophrenia.

The researchers found that mice with the autism-related mutation exhibited behavioral changes at a young age that paralleled behaviors seen in children with autism. They also found early changes in synapses within a brain region called the striatum. In contrast, mice with the schizophrenia-related gene appeared normal until adolescence, and then began to exhibit changes in behavior and also changes in the prefrontal cortex, a brain region that is implicated in human schizophrenia. “The consequences of the two different Shank3 mutations were quite different in certain aspects, which was very surprising to us,” says Zhou.

The fact that different mutations in just one gene can produce such different results illustrates exactly how complex these neuropsychiatric disorders can be. “Not only do we need to study different genes, but we also have to understand different mutations and which brain regions have what defects,” says Feng, who received funding from the Poitras Center for Affective Disorders research and the Simons Center for the Social Brain. Robertson and Kanwisher were also supported by the Simons Center.

Surprising plasticity

The brain alterations that lead to autism are thought to arise early in development, long before the condition is diagnosed, raising concerns that it may be difficult to reverse the effects once the damage is done. With the Shank3 knockout mice, Feng and his team were able to approach this question in a new way, asking what would happen if the missing gene were to be restored in adulthood.

To find the answer, lab members Yuan Mei and Patricia Monteiro, along with Zhou, studied another strain of mice, in which the Shank3 gene was switched off but could be reactivated at any time by adding a drug to their diet. When adult mice were tested six weeks after the gene was switched back on, they no longer showed repetitive grooming behaviors, and they also showed normal levels of social interaction with other mice, despite having grown up without a functioning Shank3 gene. Examination of their brains confirmed that many of the synaptic alterations were also rescued when the gene was restored.

Not every symptom was reversed by this treatment; even after six weeks or more of restored Shank3 expression, the mice continued to show heightened anxiety and impaired motor control. But even these deficits could be prevented if the Shank3 gene was restored earlier in life, soon after birth.

The results are encouraging because they indicate a surprising degree of brain plasticity, persisting into adulthood. If the results can be extrapolated to human patients, they suggest that even in adulthood, autism may be at least partially reversible if the right treatment can be found. “This shows us the possibility,” says Zhou. “If we could somehow put back the gene in patients who are missing it, it could help improve their life quality.”

Converging paths

Robertson and Feng are approaching the challenge of autism from different starting points, but already there are signs of convergence. Feng is finding early signs that his Shank3 mutant mice may have an altered balance of inhibitory and excitatory circuits, consistent with what Robertson and Kanwisher have found in humans.

Feng is continuing to study these mice, and he also hopes to study the effects of a similar mutation in non-human primates, whose brains and behaviors are more similar to those of humans than rodents. Robertson, meanwhile, is planning to establish a version of the binocular rivalry test in animal models, where it is possible to alter the balance between inhibition and excitation experimentally (for example, via a genetic mutation or a drug treatment). If this leads to changes in binocular rivalry, it would strongly support the link to the perceptual changes seen in humans.

One challenge, says Robertson, will be to develop new methods to measure the perceptions of mice and other animals. “The mice can’t tell us what they are seeing,” she says. “But it would also be useful in humans, because it would allow us to study young children and patients who are non-verbal.”

A multi-pronged approach

The imbalance hypothesis is a promising lead, but no single explanation is likely to encompass all of autism, according to McGovern director Bob Desimone. “Autism is a notoriously heterogeneous condition,” he explains. “We need to try multiple approaches in order to maximize the chance of success.”

McGovern researchers are doing exactly that, with projects underway that range from scanning children to developing new molecular and microscopic methods for examining brain changes in animal disease models. Although genetic studies provide some of the strongest clues, Desimone notes that there is also evidence for environmental contributions to autism and other brain disorders. “One that’s especially interesting to us is a maternal infection and inflammation, which in mice at least can affect brain development in ways we’re only beginning to understand.”

The ultimate goal, says Desimone, is to connect the dots and to understand how these diverse human risk factors affect brain function. “Ultimately, we want to know what these different pathways have in common,” he says. “Then we can come up with rational strategies for the development of new treatments.”

Divide and conquer

Cell populations are remarkably diverse—even within the same tissue or cell type. Each cell, no matter how similar it appears to its neighbor, behaves and responds to its environment in its own way depending on which of its genes are expressed and to what degree. How genes are expressed in each cell—how RNA is “read” and turned into proteins—determines what jobs the cell performs in the body.

Traditionally, researchers have taken an en masse approach to studying gene expression, extracting an averaged measurement derived from an entire cell population. But over the past few years, single cell sequencing has emerged as a transformative tool, enabling scientists to look at gene expression within cells at an unprecedented resolution. With single-cell technologies, researchers have been able to examine the heterogeneity within cell populations; identify rare cells; observe interactions between diverse cell types; and better understand how these interactions influence health and disease.

This week in Science, researchers from the labs of Broad core institute members Aviv Regev and Feng Zhang, of MIT and MIT’s McGovern Institute respectively, report on their newest contribution to this field: Div-Seq, a method that enables the study of previously intractable and rare cell types in the brain. The study’s first authors, Naomi Habib, a postdoctoral fellow in the Regev and Zhang labs, and Yinqing Li, also a postdoc in the Zhang lab, sat down to answer questions about this groundbreaking approach.

Why is it so important to study neurons at the single cell level?

Li: Neuropsychiatric diseases are often too complex to find an effective treatment, partly because the neurons, that underly the disease are heterogeneous. Only when we have a full atlas of every neuron type at single-cell resolution—and figure out which ones are the cause of the pathology—can we develop a targeted and effective therapy. With this goal in mind, we developed sNuc-Seq and Div-Seq to make it technologically possible to profile neurons from the adult brain at significantly improved resolution, fidelity, and sensitivity.

Scientifically, what was the need that you were trying to address when you started this study?

Habib: Going into this study we were specifically interested in studying so-called “newborn” neurons, which are rare and hard to find. We think of our brain as being non-regenerative, but in fact there are rare, neuronal stem cells in specific areas of the brain that divide and create new neurons throughout our lives. We wanted to understand how gene expression changed as these cells developed. Typically when people studied gene expression in the brain they just mashed up tissue and took average measurements from that mixture. Such “bulk” measurements are hard to interpret and we lose the gene expression signals that come from individual cell types.

When I joined the Zhang and Regev labs, some of the first single cell papers were coming out, and it seemed like the perfect approach for advancing the way we do neuroscience research; we could measure RNA at the single cell level and really understand what different cell types were there, including rare cells, and what they contribute to different brain functions. But there was a problem. Neurons do not look like regular cells: they are intricately connected. In the process of separating them, the cells do not stay intact and their RNA gets damaged, and this problem increases with age.

So what was your solution?

Habib: Isolating single neurons is problematic, but the nucleus is nice and round and relatively easy to isolate. That led us to ask, “Why not try single nucleus RNA sequencing instead of single cell sequencing?” We called it “sNuc-Seq.”

It worked well. We get a lot of information from the RNA in the nucleus; we can learn what cell type we’re looking at, what state of development it’s in, and what kind of processes are going on in the cell—all of the key information we would want to get from RNA sequencing.

Then, to make it possible to find the rare newborn neurons, we developed Div-Seq. It’s based on sNuc-Seq, but we introduce a compound that incorporates into DNA and labels the DNA while it’s replicating, so it’s specific for newly divided cells. Because we already isolated the nuclei, it’s fairly simple from there to fluorescently tag the labeled cells, sort them, and get RNA for sequencing.

You tested this method while preparing your paper. What did you find?

Habib: We studied “newborn” neurons from the brain across multiple time-points. We could see the changes in gene expression that occur throughout adult neurogenesis; the cells transition from state-to-state—from stem cells to mature neurons—and during these transitions, we found a coordinated change in the expression of hundreds of genes. It was beautiful to see these signatures, and they enabled us to pinpoint regulatory genes expressed during specific points of the cell differentiation process.

We were also able to look at where regeneration occurs. We decided to look in the spinal cord because there is a lot of interest in understanding the potential of regeneration to help with spinal cord injury. Div-Seq enabled us to scan millions of neurons and isolate the small percentage that were dividing and characterize each by its RNA signature. We found that within the spinal cord there is ongoing regeneration of a specific type of neuron—GABAergic neurons. That was an exciting finding that also showed the utility of our method.

Are the data you get from this method compatible with data from previous single-cell techniques?

Li: Because this method is specifically designed to address the particular challenges of profiling neurons, the data from this method is distinct from that obtained from previous single-cell techniques. Since the data was new to this approach, a novel computational tool was developed in this project in order to fully reveal the rich information, which is now available to the scientific community.

Are there other benefits of using this method?

Habib: Single nucleus RNA-seq enables the study of the adult and aging brain at the single cell level, which is now being applied to study cellular diversity across the brain during health and disease. Our approach also makes it easier to explore any complex tissue where single cells are hard to obtain for technical reasons. One important aspect is that it works on frozen and fixed tissue, which opens up opportunities to study human samples, such as biopsies, that may be collected overseas or frozen for days or even years.

Additionally, Div-Seq opens new ways to look at the rare process of adult neurogenesis and other regenerative processes that might have been challenging before. Because Div- Seq specifically labels dividing cells, it is a great tool to use to see what cells are dividing in a given tissue and to track gene expression changes over time.

What is the endgame of studying these processes? Can you put this work in context of human health and disease?

Li: We hope that the methods in this study will provide a starting point and method for future work on neuropsychiatric diseases. As we expand our understanding of cell types and their signatures, we can start to ask questions like: Which cells express disease associated genes? Where are these cells located in the brain? What other genes are expressed in these cells, and which might serve as potential drug targets? This approach could help bridge human genetic association studies and molecular neurobiology and open new windows into disease pathology and potential treatments.

Habib: These two methods together enable many applications, which were either very hard or impossible to do before. For example, we characterized the cellular diversity of a region of the brain important for learning and memory—the first region affected in Alzheimer’s disease. Having that understanding—knowing what the normal state of cells is at the molecular level and what went wrong in each individual cell type—can advance our understanding of the disease and perhaps aid in the search for a treatment. We are also excited by the prospect of finding naturally-occurring regeneration in the brain and spine, which could have implications for the field of regenerative medicine in treating, for example, neuronal degeneration or spinal injury.

Paper cited:

Habib N, Li Y, et al. Div-Seq: Single nucleus RNA-Seq reveals dynamics of rare adult newborn neurons. Science. Online July 28, 2016.

Feng Zhang named 2016 Tang Prize Laureate

Feng Zhang, a core institute member of the Broad Institute, an investigator at the McGovern Institute for Brain Research at MIT, and W. M. Keck Career Development Associate Professor in MIT’s Department of Brain and Cognitive Sciences with a joint appointment in Biological Engineering, has been named a 2016 Tang Prize Laureate in Biopharmaceutical Science for his role in developing the CRISPR-Cas9 gene-editing system and demonstrating pioneering uses in eukaryotic cells.

The Tang Prize is a biennial international award granted by judges convened by Academia Sinica, Taiwan’s top academic research institution.

In January 2013 Zhang and his team were first to report CRISPR-based genome editing in mammalian cells, in what has become the most-cited paper in the CRISPR field. Zhang shares the award with Emmanuelle Charpentier of the Max Planck Institute and Jennifer A. Doudna of the University of California at Berkeley.

“To be recognized with the Tang Prize is an incredible honor for our team and it demonstrates the impact of the entire CRISPR field, which began with microbiologists and will continue for years to come as we advance techniques for genome editing,” Zhang said. “Thanks to the scientific community’s commitment to collaboration and an emphasis on sharing across institutions and borders, the last few years have seen a revolution in our ability to understand cancer, autoimmune disease, mental health and infectious disease. We are entering a remarkable period in our understanding of human health.”

Although Zhang is well-known for his work with CRISPR, the 34-year-old scientist has a long track record of innovation. As a graduate student at Stanford University, Zhang worked with Karl Deisseroth and Edward Boyden, who is now also a professor at MIT, to develop optogenetics, in which neuronal activity can be controlled with light. The three shared the Perl-UNC Prize in Neuroscience in 2012 as recognition of these efforts. Zhang has also received the National Science Foundation’s Alan T. Waterman Award (2014), the Jacob Heskel Gabbay Award in Biotechnology and Medicine (2014, shared with Charpentier and Doudna), the Tsuneko & Reiji Okazaki Award (2015), the Human Genome Organization (HUGO) Chen New Investigator Award (2016), and the Canada Gairdner International Award (2016, shared with Charpentier and Doudna, as well as Rodolphe Barrangou from North Carolina State University and Philippe Horvath from DuPont Nutrition & Health).

One of Zhang’s long-term goals is to use genome-editing technologies to better understand the nervous system and develop new approaches to the treatment of neurological and psychiatric diseases. The Zhang lab has shared CRISPR-Cas9 components in response to more than 30,000 requests from academic laboratories around the world and has trained thousands of researchers in the use of CRISPR-Cas9 genome-editing technology through in-person events and online opportunities. In his current research, he and his students and postdoctoral fellows continue to improve and expand the gene-editing toolbox.

“Professor Zhang’s lab has become a global hub for CRISPR research,” said MIT Provost Martin Schmidt. “His group has shared CRISPR-Cas9 components with tens of thousands of scientists, and has trained many more in the use of CRISPR-Cas9 technology. The Tang Prize is a fitting recognition of all that Professor Zhang has done, and continues to do, to advance this field.”

“CRISPR is a powerful new tool that is transforming biological science while promising revolutionary advances in health care,” said Michael Sipser, dean of the School of Science and Donner Professor of Mathematics at MIT. “We are delighted that Feng Zhang, together with Jennifer Doudna and Emmanuelle Charpentier, have been recognized with the Tang Prize.”

“It is wonderful that the Academia Sinica has chosen to recognize the CRISPR field with this year’s Tang Prize,” said Eric Lander, founding director of the Broad Institute. “On behalf of my colleagues at the Broad and MIT, I wish to congratulate Feng, as well as Emmanuelle Charpentier and Jennifer Doudna, along with the many teams of scientists and all others who have contributed to these transformational discoveries.”

Founded in 2012 by Samuel Yin, the Tang Prize is a non-governmental, non-profit educational foundation that awards outstanding contributions in four fields: sustainable development, biopharmaceutical science, sinology, and rule of law. Nomination and selection of laureates is conducted by the Academia Sinica. Each award cycle, the academy convenes four autonomous selection committees, each consisting of an assembly of international experts, until a consensus on the recipients is reached. Recipients are chosen on the basis of the originality of their work along with their contributions to society, irrespective of nationality, ethnicity, gender, and political affiliation.

This year marks the second awarding of the prize. This year’s awardees will receive the medal, diploma, and cash prize at an award ceremony on September 25 in Taipei. Recipients in each Tang Prize category receive a total of approximately $1.24 million (USD) and a grant of approximately $311,000 (USD). The cash prize and grants are divided equally among joint recipients in each category.

 

New CRISPR system for targeting RNA

Researchers from MIT and the Broad Institute of MIT and Harvard, as well as the National Institutes of Health, Rutgers University at New Brunswick, and the Skolkovo Institute of Science and Technology, have characterized a new CRISPR system that targets RNA, rather than DNA.

The new approach has the potential to open a powerful avenue in cellular manipulation. Whereas DNA editing makes permanent changes to the genome of a cell, the CRISPR-based RNA-targeting approach may allow researchers to make temporary changes that can be adjusted up or down, and with greater specificity and functionality than existing methods for RNA interference.

In a study published today in Science, Feng Zhang and colleagues at the Broad Institute and the McGovern Institute for Brain Research at MIT, along with co-authors Eugene Koonin and his colleagues at the NIH, and Konstantin Severinov of Rutgers University at New Brunswick and Skoltech, report the identification and functional characterization of C2c2, an RNA-guided enzyme capable of targeting and degrading RNA.

The findings reveal that C2c2 — which is the first naturally occurring CRISPR system known to target only RNA, and was discovered by this collaborative group in October 2015 — helps protect bacteria against viral infection. The researchers demonstrate that C2c2 can be programmed to cleave particular RNA sequences in bacterial cells, which would make it an important addition to the molecular biology toolbox.

The RNA-focused action of C2c2 complements the CRISPR-Cas9 system, which targets DNA, the genomic blueprint for cellular identity and function. The ability to target only RNA, which helps carry out the genomic instructions, offers the ability to specifically manipulate RNA in a high-throughput manner — and to manipulate gene function more broadly. This has the potential to accelerate progress to understand, treat, and prevent disease.

“C2c2 opens the door to an entirely new frontier of powerful CRISPR tools,” said senior author Feng Zhang, who is a core institute member of the Broad Institute, an investigator at the McGovern Institute for Brain Research at MIT, and the W. M. Keck Career Development Associate Professor in MIT’s Department of Brain and Cognitive Sciences.
“There are an immense number of possibilities for C2c2, and we are excited to develop it into a platform for life science research and medicine.”

“The study of C2c2 uncovers a fundamentally novel biological mechanism that bacteria seem to use in their defense against viruses,” said Eugene Koonin, senior author and leader of the Evolutionary Genomics Group at the NIH. “Applications of this strategy could be quite striking.”

Currently, the most common technique for performing gene knockdown is small interfering RNA (siRNA). According to the researchers, C2c2 RNA-editing methods suggest greater specificity and hold the potential for a wider range of applications, such as:

  • Adding modules to specific RNA sequences to alter their function — how they are translated into proteins — which would make them valuable tools for large-scale screens and constructing synthetic regulatory networks; and
  • Harnessing C2c2 to fluorescently tag RNAs as a means to study their trafficking and subcellular localization.

In this work, the team was able to precisely target and remove specific RNA sequences using C2c2, lowering the expression level of the corresponding protein. This suggests C2c2 could represent an alternate approach to siRNA, complementing the specificity and simplicity of CRISPR-based DNA editing and offering researchers adjustable gene “knockdown” capability using RNA.

C2c2 has advantages that make it suitable for tool development:

  • C2c2 is a two-component system, requiring only a single guide RNA to function; and
  • C2c2 is genetically encodable — meaning the necessary components can be synthesized as DNA for delivery into tissue and cells.

“C2c2’s greatest impact may be made on our understanding of the role of RNA in disease and cellular function,” said co-first author Omar Abudayyeh, a graduate student in the Zhang Lab.

Feng Zhang receives 2016 Canada Gairdner International Award

Feng Zhang, a core institute member of the Broad Institute, an investigator at the McGovern Institute for Brain Research at MIT, and W. M. Keck Career Development Associate Professor in MIT’s Department of Brain and Cognitive Sciences, has been named a recipient of the 2016 Canada Gairdner International Award — Canada’s most prestigious scientific prize — for his role in developing the CRISPR-Cas9 gene-editing system.

In January 2013 Zhang and his team were first to report CRISPR-based genome editing in mammalian cells, in what has become the most-cited paper in the CRISPR field. He is one of five scientists the Gairdner Foundation is honoring for work with CRISPR. Zhang shares the award with Rodolphe Barrangou from North Carolina State University; Emmanuelle Charpentier of the Max Planck Institute; Jennifer Doudna of the University of California at Berkeley and Phillipe Horvath from DuPont Nutrition and Health.

“The Gairdner Award is a tremendous recognition for my entire team, and it is a great honor to share this recognition with other pioneers in the CRISPR field,” Zhang says. “In the next decade, the understanding and the discoveries that scientists are going to be able to make using the CRISPR-Cas9 system will lead to new innovations that will translate into new therapeutics and new products that can benefit our lives.”

Although Zhang is well-known for his work with CRISPR, the 34-year-old scientist has a long track record of innovation. As a graduate student at Stanford University, Zhang worked with Karl Deisseroth and Edward Boyden, who is now also a professor at MIT, to develop optogenetics, in which neuronal activity can be controlled with light. The three shared the Perl-UNC Prize in Neuroscience in 2012 as recognition of these efforts. Zhang has also received the National Science Foundation’s Alan T. Waterman Award (2014), the Jacob Heskel Gabbay Award in Biotechnology and Medicine (2014, shared with Charpentier and Doudna), the Tsuneko & Reiji Okazaki Award (2015), and the Human Genome Organization (HUGO) Chen New Investigator Award (2016).

One of Zhang’s long-term goals is to use genome-editing technologies to better understand the nervous system and develop new approaches to the treatment of psychiatric disease. The Zhang lab has shared CRISPR-Cas9 components in response to nearly 30,000 requests from academic laboratories around the world and has trained thousands of researchers in the use of CRISPR-Cas9 genome-editing technology through in-person events and online opportunities. In his current research, he continues to improve and expand the gene-editing toolbox. “I feel incredibly fortunate and excited to work with an incredible team of students and postdocs to continue advancing our ability to edit and understand the genome,” Zhang says.

“CRISPR is a revolutionary breakthrough that will advance the frontiers of science and enable us to meet the health challenges of the 21st century in ways we are only beginning to imagine,” says Michael Sipser, dean of MIT’s School of Science and the Barton L. Weller Professor of Mathematics. “I am exceedingly proud of the contributions Feng has made to MIT and the greater community of scientists, and extend my heartfelt congratulations to him and his colleagues.”

“CRISPR is a great example of how the scientific community can come together and make stunning progress in a short period of time,” says Eric Lander, founding director of the Broad Institute. “On behalf of my colleagues at the Broad and MIT, I wish to congratulate Feng and all the winners of this prestigious award, as well as the teams of scientists and all others who have contributed to these transformational discoveries.”

The Canada Gairdner International Awards, created in 1959, are given annually to recognize and reward the achievements of medical researchers whose work contributes significantly to the understanding of human biology and disease. The awards provide a $100,000 (CDN) prize to each scientist for their work. Each year, the five honorees of the International Awards are selected after a rigorous two-part review, with the winners voted by secret ballot by a medical advisory board composed of 33 eminent scientists from around the world.

The Broad Institute of MIT and Harvard was launched in 2004 to empower this generation of creative scientists to transform medicine. The Broad Institute seeks to describe all the molecular components of life and their connections; discover the molecular basis of major human diseases; develop effective new approaches to diagnostics and therapeutics; and disseminate discoveries, tools, methods, and data openly to the entire scientific community.

Founded by MIT, Harvard, Harvard-affiliated hospitals, and the visionary Los Angeles philanthropists Eli and Edythe L. Broad, the Broad Institute includes faculty, professional staff, and students from throughout the MIT and Harvard biomedical research communities and beyond, with collaborations spanning over a hundred private and public institutions in more than 40 countries worldwide. For further information about the Broad Institute, visit: http://www.broadinstitute.org.

Toward a better understanding of the brain

In 2011, about a month after joining the MIT faculty, Feng Zhang attended a talk by Harvard Medical School Professor Michael Gilmore, who studies the pathogenic bacterium Enteroccocus. The scientist mentioned that these bacteria protect themselves from viruses with DNA-cutting enzymes known as nucleases, which are part of a defense system known as CRISPR.

“I had no idea what CRISPR was but I was interested in nucleases,” Zhang says. “I went to look up CRISPR, and that’s when I realized you might be able to engineer it for use for genome editing.”

Zhang devoted himself to adapting the system to edit genes in mammalian cells and recruited new members to his nascent lab at the Broad Institute of MIT and Harvard to work with him on this project. In January 2013, they reported their success in the journal Science.

Since then, scientists in fields from medicine to plant biology have begun using CRISPR to study gene function and investigate the possibility of correcting faulty genes that cause disease. Zhang now heads a lab of 19 scientists who continue to develop the system and pursue applications of genome editing, especially in neuroscience.

“The goal is to try to make our lives better by developing new technologies and using them to understand biological systems so that we can improve our treatment of disease and our quality of life,” says Zhang, who is also a member of MIT’s McGovern Institute for Brain Research and recently earned tenure in MIT’s Departments of Biological Engineering and Brain and Cognitive Sciences.

Understanding the brain

Growing up in Des Moines, Iowa, where his parents moved from China when he was 11, Zhang had plenty of opportunities to feed his interest in science. He participated in Science Bowl competitions and took special Saturday science classes, where he got his first introduction to molecular biology. Experiments such as extracting DNA from strawberries and transforming bacteria with genes for drug resistance whetted his appetite for genetic engineering, which was further stimulated by a showing of “Jurassic Park.”

“That really caught my attention,” he recalls. “It didn’t seem that far-fetched. I guess that’s what makes it good science fiction. It kind of tantalizes your imagination.”

As a sophomore in high school, Zhang began working with Dr. John Levy in a gene therapy lab at the Iowa Methodist Medical Center in Des Moines, where he studied green fluorescent protein (GFP). Scientists had recently figured out how to adapt this naturally occurring protein to tag and image proteins inside living cells. Zhang used it to track viral proteins within infected cells to determine how the proteins assemble to form new viruses. He also worked on a project to adapt GFP for a different purpose — protecting DNA from damage induced by ultraviolet light.

At Harvard University, where he earned his undergraduate degree, Zhang majored in chemistry and physics and did research under the mentorship of Xiaowei Zhuang, a professor of chemistry and chemical biology. “I was always interested in biology but I felt that it’s important to get a solid training in chemistry and physics,” he says.

While Zhang was at Harvard, a close friend was severely affected by a psychiatric disorder. That experience made Zhang think about whether such disorders could be approached just like cancer or heart disease, if only scientists knew more about their underlying causes.

“The difference is we’re at a much earlier stage of understanding psychiatric diseases. That got me really interested in trying to understand more about how the brain works,” he says.

At Stanford University, where Zhang earned his PhD in chemistry, he worked with Karl Deisseroth, who was just starting his lab with a focus on developing new technology for studying the brain. Zhang was the second student to join the lab, and he began working on a protein called channelrhodopsin, which he and Deisseroth believed held potential for engineering mammalian cells to respond to light.

The resulting technique, known as optogenetics, has transformed biological research. Collaborating with Edward Boyden, a member of the Deisseroth lab who is now a professor at MIT, Zhang adapted channelrhodopsin so that it could be inserted into neurons and make them light-sensitive. Using this approach, neuroscientists can now selectively activate and de-activate specific neurons in the brain, allowing them to map brain circuits and investigate how disruption of those circuits causes disease.

Better gene editing

After leaving Stanford, Zhang spent a year as a junior fellow at the Harvard Society of Fellows, studying brain development with Professor Paola Arlotta and collaborating with Professor George Church. That’s when he began to focus on gene editing — a type of genetic engineering that allows researchers to selectively delete a gene or replace it with a new one.

He began with zinc finger nucleases — enzymes that can be designed to target and cut specific DNA sequences. However, these proteins turned out to be challenging to work with, in part because it is so time-consuming to design a new protein for each possible DNA target.

That led Zhang to experiment with a different type of nucleases known as transcription activator-like effector nucleases (TALENs), but these also proved laborious to work with. “Learning how to use them is a project on its own,” Zhang says.

When he heard about CRISPR in early 2011, Zhang sensed that harnessing the natural bacterial process held the potential to solve many of the challenges associated with those earlier gene-editing techniques. CRISPR includes a nuclease called Cas9, which can be guided to the correct genetic target by RNA molecules known as guide strands. For each target, scientists need only design and synthesize a new RNA guide, which is much simpler than creating new TALEN and zinc finger proteins.

Since his first CRISPR paper in 2013, Zhang’s lab has devised many enhancements to the original system, such as making the targeting more precise and preventing unintended cuts in the wrong locations. They also recently reported another type of CRISPR system based on a different nuclease called Cpf1, which is simpler and has unique features that further expand the genome editing toolbox.

Zhang’s lab has become a hub for CRISPR research worldwide. It has shared CRISPR-Cas9 components in response to nearly 30,000 requests from academic laboratories around the world and has trained thousands of researchers in the use of CRISPR-Cas9 genome-editing technology through in-person events and online opportunities.

His team is now working on creating animal models of autism, Alzheimer’s, and other neurological disorders, and in the long term, they hope to develop CRISPR for use in humans to potentially cure diseases caused by defective genes.

“There are many genetic diseases that we don’t have any way of treating and this could be one way, but we still have to do a lot of work,” Zhang says.

MIT, Broad scientists overcome key CRISPR-Cas9 genome editing hurdle

Researchers at the Broad Institute of MIT and Harvard and the McGovern Institute for Brain Research at MIT have engineered changes to the revolutionary CRISPR-Cas9 genome editing system that significantly cut down on “off-target” editing errors. The refined technique addresses one of the major technical issues in the use of genome editing.

The CRISPR-Cas9 system works by making a precisely targeted modification in a cell’s DNA. The protein Cas9 alters the DNA at a location that is specified by a short RNA whose sequence matches that of the target site. While Cas9 is known to be highly efficient at cutting its target site, a major drawback of the system has been that, once inside a cell, it can bind to and cut additional sites that are not targeted. This has the potential to produce undesired edits that can alter gene expression or knock a gene out entirely, which might lead to the development of cancer or other problems. In a paper published today in Science, Feng Zhang and his colleagues report that changing three of the approximately 1,400 amino acids that make up the Cas9 enzyme from S. pyogenes dramatically reduced “off-target editing” to undetectable levels in the specific cases examined.

Zhang and his colleagues used knowledge about the structure of the Cas9 protein to decrease off-target cutting. DNA, which is negatively charged, binds to a groove in the Cas9 protein that is positively charged. Knowing the structure, the scientists were able to predict that replacing some of the positively charged amino acids with neutral ones would decrease the binding of “off target” sequences much more than “on target” sequences.

After experimenting with various possible changes, Zhang’s team found that mutations in three amino acids dramatically reduced “off-target” cuts. For the guide RNAs tested, “off-target” cutting was so low as to be undetectable.

The newly-engineered enzyme, which the team calls “enhanced” S. pyogenes Cas9, or eSpCas9, will be useful for genome editing applications that require a high level of specificity. The Zhang lab is immediately making the eSpCas9 enzyme available for researchers worldwide. The team believes the same charge-changing approach will work with other recently described RNA-guided DNA targeting enzymes, including Cpf1, C2C1, and C2C3, which Zhang and his collaborators reported on earlier this year.

The prospect of rapid and efficient genome editing raises many ethical and societal concerns, says Zhang, who is speaking this morning at the International Summit on Gene Editing in Washington, DC. “Many of the safety concerns are related to off-target effects,” he said. “We hope the development of eSpCas9 will help address some of those concerns, but we certainly don’t see this as a magic bullet. The field is advancing at a rapid pace, and there is still a lot to learn before we can consider applying this technology for clinical use.”

Feng Zhang describes new system for genome engineering

A team including the scientist who first harnessed the CRISPR-Cas9 system for mammalian genome editing has now identified a different CRISPR system with the potential for even simpler and more precise genome engineering.

In a study published today in Cell, Feng Zhang and his colleagues at the Broad Institute of MIT and Harvard and the McGovern Institute for Brain Research at MIT, with co-authors Eugene Koonin at the National Institutes of Health, Aviv Regev of the Broad Institute and the MIT Department of Biology, and John van der Oost at Wageningen University, describe the unexpected biological features of this new system and demonstrate that it can be engineered to edit the genomes of human cells.

“This has dramatic potential to advance genetic engineering,” says Eric Lander, director of the Broad Institute. “The paper not only reveals the function of a previously uncharacterized CRISPR system, but also shows that Cpf1 can be harnessed for human genome editing and has remarkable and powerful features. The Cpf1 system represents a new generation of genome editing technology.”

CRISPR sequences were first described in 1987, and their natural biological function was initially described in 2010 and 2011. The application of the CRISPR-Cas9 system for mammalian genome editing was first reported in 2013, by Zhang and separately by George Church at Harvard University.

In the new study, Zhang and his collaborators searched through hundreds of CRISPR systems in different types of bacteria, searching for enzymes with useful properties that could be engineered for use in human cells. Two promising candidates were the Cpf1 enzymes from bacterial species Acidaminococcus and Lachnospiraceae, which Zhang and his colleagues then showed can target genomic loci in human cells.

“We were thrilled to discover completely different CRISPR enzymes that can be harnessed for advancing research and human health,” says Zhang, the W.M. Keck Assistant Professor in Biomedical Engineering in MIT’s Department of Brain and Cognitive Sciences.

The newly described Cpf1 system differs in several important ways from the previously described Cas9, with significant implications for research and therapeutics, as well as for business and intellectual property:

  • First: In its natural form, the DNA-cutting enzyme Cas9 forms a complex with two small RNAs, both of which are required for the cutting activity. The Cpf1 system is simpler in that it requires only a single RNA. The Cpf1 enzyme is also smaller than the standard SpCas9, making it easier to deliver into cells and tissues.
  • Second, and perhaps most significantly: Cpf1 cuts DNA in a different manner than Cas9. When the Cas9 complex cuts DNA, it cuts both strands at the same place, leaving “blunt ends” that often undergo mutations as they are rejoined. With the Cpf1 complex the cuts in the two strands are offset, leaving short overhangs on the exposed ends. This is expected to help with precise insertion, allowing researchers to integrate a piece of DNA more efficiently and accurately.
  • Third: Cpf1 cuts far away from the recognition site, meaning that even if the targeted gene becomes mutated at the cut site, it can likely still be recut, allowing multiple opportunities for correct editing to occur.
  • Fourth: The Cpf1 system provides new flexibility in choosing target sites. Like Cas9, the Cpf1 complex must first attach to a short sequence known as a PAM, and targets must be chosen that are adjacent to naturally occurring PAM sequences. The Cpf1 complex recognizes very different PAM sequences from those of Cas9. This could be an advantage in targeting some genomes, such as in the malaria parasite as well as in humans.

“The unexpected properties of Cpf1 and more precise editing open the door to all sorts of applications, including in cancer research,” says Levi Garraway, an institute member of the Broad Institute, and the inaugural director of the Joint Center for Cancer Precision Medicine at the Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and the Broad Institute. Garraway was not involved in the research.

An open approach to empower research

Zhang, along with the Broad Institute and MIT, plan to share the Cpf1 system widely. As with earlier Cas9 tools, these groups will make this technology freely available for academic research via the Zhang lab’s page on the plasmid-sharing website Addgene, through which the Zhang lab has already shared Cas9 reagents more than 23,000 times with researchers worldwide to accelerate research. The Zhang lab also offers free online tools and resources for researchers through its website.

The Broad Institute and MIT plan to offer nonexclusive licenses to enable commercial tool and service providers to add this enzyme to their CRISPR pipeline and services, further ensuring availability of this new enzyme to empower research. These groups plan to offer licenses that best support rapid and safe development for appropriate and important therapeutic uses.

“We are committed to making the CRISPR-Cpf1 technology widely accessible,” Zhang says. “Our goal is to develop tools that can accelerate research and eventually lead to new therapeutic applications. We see much more to come, even beyond Cpf1 and Cas9, with other enzymes that may be repurposed for further genome editing advances.”

 

Broad Institute-MIT team identifies highly efficient new Cas9 for in vivo genome editing

A collaborative study between researchers from the Broad Institute of MIT and Harvard, Massachusetts Institute of Technology, and the National Center for Biotechnology Information of the National Institutes of Health (NIH-NCBI) has identified a highly efficient Cas9 nuclease that overcomes one of the primary challenges to in vivo genome editing. This finding, published today in Nature, is expected to help make the CRISPR toolbox accessible for in vivo experimental and therapeutic applications.

Originally discovered in bacteria, the CRISPR-Cas9 system enables the cutting of DNA as a defense mechanism against viral infection. Although numerous microbial species possess this system, the Cas9 enzyme from Streptococcus pyogenes (SpCas9) was the first to be engineered for altering the DNA of higher organisms, and has since emerged as the basis for a series of highly versatile genome modification technologies.

Smaller packaging

In order to perturb genes in adult animals, key components of the CRISPR-Cas9 system must be introduced into cells using delivery vehicles known as vectors. Adeno-associated virus (AAV) is considered one of the most promising candidate vectors, as it is not known to cause human disease and has already gained clinical regulatory approval in Europe. However, the small cargo capacity of AAV makes it challenging to package both the SpCas9 enzyme and the other components required for gene editing into a single viral particle.

The Cas9 nuclease from the bacteria Staphylococcus aureus (SaCas9), presented in this new work, is 25% smaller than SpCas9, offering a solution to the AAV packaging problem.

The Broad/MIT team, led by Feng Zhang, core member of the Broad Institute and investigator at the McGovern Institute for Brain Research at MIT, along with collaborators at MIT, led by MIT Institute Professor Phillip Sharp, and the NCBI led by Eugene Koonin, set out to identify smaller Cas9 enzymes that could replicate the efficiency of the current SpCas9 system, while allowing packaging into delivery vehicles such as AAV. The researchers began by using comparative genomics to analyze Cas9s from more than 600 different types of bacteria, selecting six smaller enzymes for further study.

“Sifting through the 600 or so available Cas9 sequences, we identified a group of small variants in which the enzymatic domains were intact whereas the non-enzymatic portion was substantially truncated,” said Eugene Koonin, senior investigator with the NCBI and a contributing author of the study. “Luckily, one of these smaller Cas9 proteins turned out to be suitable for the development of the methodology described in this paper. We are now actively exploring the diversity of Cas9 proteins and their relatives in the hope to find new varieties that could potentially lead to even more powerful tools.”

After rigorous testing, only the Cas9 from S. aureus demonstrated DNA cutting efficiency comparable to that of SpCas9 in mammalian cells. The team then used a method known as BLESS, previously developed by Nicola Crosetto of the Karolinska Institute and Ivan Dikic at the Goethe University Medical School, to determine the presence of unintended “off-targets” across the entire genomic space. Again, SaCas9 and SpCas9 demonstrated comparable DNA targeting accuracy.

The team demonstrated the power of in vivo gene editing with AAV/SaCas9-mediated targeting of PCSK9, a promising drug target. The loss of PCSK9 in humans has been associated with the reduced risk of cardiovascular disease and lower levels of LDL cholesterol. In a mouse model, the team observed almost complete depletion of PCKS9 in the blood one week after administration of AAV/SaCas9 and a 40% decrease in total cholesterol. The mice showed no overt signs of inflammation or immune response.

“While we have chosen a therapeutically relevant target, PCSK9, in this proof-of-principle study, the greater goal here is the development of a versatile and efficient system that expands our ability to edit genomes in vivo,” said Fei Ann Ran, co-first author of the study, along with Le Cong and Winston Yan.

More broadly, SaCas9 is expected improve scientists’ ability to screen for the effects of mutations and better understand gene function using animal models. In the future, it may also be engineered to allow the targeted control of gene expression, which can be employed to expand our understanding of transcriptional and epigenetic regulation in the cell.

The next step, says senior author Feng Zhang, is to compare and contrast the two Cas9s in the hope of recognizing ways to further optimize the system.

“This study highlights the power of using comparative genome analysis to expand the CRISPR-Cas9 toolbox,” said Zhang. “Our long-term goal is to develop CRISPR as a therapeutic platform. This new Cas9 provides a scaffold to expand our Cas9 repertoire, and help us create better models of disease, identify mechanisms, and develop new treatments.”

About the engineered CRISPR-Cas9 system

CRISPRs (Clustered Regularly Interspaced Short Palindromic Repeats) have recently been harnessed as genome editing tools in a wide range of species. The engineered CRISPR-Cas9 system allows researchers to mutate or change the expression of genes in living cells, including those of humans. The family of Cas9 nucleases (also known as Cas5, Csn1, or Csx12) recognizes DNA targets in complex with RNA guides. Researchers can now harness the engineered system to home in on specific nucleic acid sequences and cut the DNA at those precise targets. The cuts modify the activity of the targeted genes, allowing researchers to study the genes’ function.

New way to turn genes on

Using a gene-editing system originally developed to delete specific genes, MIT researchers have now shown that they can reliably turn on any gene of their choosing in living cells.

This new application for the CRISPR/Cas9 gene-editing system should allow scientists to more easily determine the function of individual genes, according to Feng Zhang, the W.M. Keck Career Development Professor in Biomedical Engineering in MIT’s Departments of Brain and Cognitive Sciences and Biological Engineering, and a member of the Broad Institute and MIT’s McGovern Institute for Brain Research.

This approach also enables rapid functional screens of the entire genome, allowing scientists to identify genes involved in particular diseases. In a study published in the Dec. 10 online edition of Nature, Zhang and colleagues identified several genes that help melanoma cells become resistant to a cancer drug.

Silvana Konermann, a graduate student in Zhang’s lab, and Mark Brigham, a McGovern Institute postdoc, are the paper’s lead authors.

A new function for CRISPR

The CRISPR system relies on cellular machinery that bacteria use to defend themselves from viral infection. Researchers have previously harnessed this cellular system to create gene-editing complexes that include a DNA-cutting enzyme called Cas9 bound to a short RNA guide strand that is programmed to bind to a specific genome sequence, telling Cas9 where to make its cut.

In the past two years, scientists have developed Cas9 as a tool for turning genes off or replacing them with a different version. In the new study, Zhang and colleagues engineered the Cas9 system to turn genes on, rather than knock them out. Scientists have tried to do this before using proteins that are individually engineered to target DNA at specific sites. However, these proteins are  difficult to work with. “If you use the older generation of tools, getting the technology to do what you actually want is a project on its own,” Konermann says. “It takes a lot of time and is also quite expensive.”

There have also been attempts to use CRISPR to turn on genes by inactivating the part of the Cas9 enzyme that cuts DNA and linking Cas9 to pieces of proteins called activation domains. These domains recruit the cellular machinery necessary to begin reading copying RNA from DNA, a process known as transcription.

However, these efforts have been unable to consistently turn on gene transcription. Zhang and his colleagues, Osamu Nureki and Hiroshi Nishimasu at the University of Tokyo, decided to overhaul the CRISPR-Cas9 system based on an analysis they published earlier this year of the structure formed when Cas9 binds to the guide RNA and its target DNA. “Based on knowing its 3-D shape, we can think about how to rationally improve the system,” Zhang says.

In previous efforts, scientists had tried to attach the activation domains to either end of the Cas9 protein, with limited success. From their structural studies, the MIT team realized that two small loops of the RNA guide poke out from the Cas9 complex and could be better points of attachment because they allow the activation domains to have more flexibility in recruiting transcription machinery.

Using their revamped system, the researchers activated about a dozen genes that had proven difficult or impossible to turn on using the previous generation of Cas9 activators. Each gene showed at least a twofold boost in transcription, and for many genes, the researchers found multiple orders of magnitude increase in activation.

Genome-scale activation screening

Once the researchers had shown that the system was effective at activating genes, they created a library of 70,290 guide RNAs targeting all of the more than 20,000 genes in the human genome.

They screened this library to identify genes that confer resistance to a melanoma drug called PLX-4720. Drugs of this type work well in patients whose melanoma cells have a mutation in the BRAF gene, but cancer cells that survive the treatment can grow into new tumors, allowing the cancer to recur.

To discover the genes that help cells become resistant, the researchers delivered CRISPR components to a large population of melanoma cells grown in the lab, with each cell receiving a different guide RNA targeting a different gene. After treating the cells with PLX-4720, they identified several genes that helped the cells to survive — some previously known to be involved in drug resistance, as well as several novel targets.
Studies like this could help researchers discover new cancer drugs that prevent tumors from becoming resistant.

“You could start with a drug that targets the mutated BRAF along with combination therapy that targets genes that allow the cell to survive. If you target both of them at the same time, you could likely prevent the cells from developing resistance mechanisms that enable further growth despite drug treatment,” Konermann says.

Scientists have tried to do large-scale screens like this by delivering single genes carried by viruses, but that does not work with all genes.

“This new technique could allow you to sample a larger spectrum of genes that might be playing a role,” says Levi Garraway, an associate professor of medicine at Dana-Farber Cancer Institute who was not involved in the research. “This is really a technology development paper, but the tantalizing results from the drug resistance screen speak to the rich biological possibilities of this approach.”

Zhang’s lab also plans to use this technique to screen for genes that, when activated, could correct the effects of autism or neurodegenerative diseases such as Alzheimer’s. He also plans to make the necessary reagents available to academic labs that want to use them, through the Addgene repository.

The research was funded by the National Institute of Mental Health; the National Institute of Neurological Disorders and Stroke; the Keck, Searle Scholars, Klingenstein, Vallee, and Simons foundations; and Bob Metcalfe.