Tool developed in Graybiel lab reveals new clues about Parkinson’s disease

As the brain processes information, electrical charges zip through its circuits and neurotransmitters pass molecular messages from cell to cell. Both forms of communication are vital, but because they are usually studied separately, little is known about how they work together to control our actions, regulate mood, and perform the other functions of a healthy brain.

Neuroscientists in Ann Graybiel’s laboratory at MIT’s McGovern Institute are taking a closer look at the relationship between these electrical and chemical signals. “Considering electrical signals side by side with chemical signals is really important to understand how the brain works,” says Helen Schwerdt, a postdoctoral researcher in Graybiel’s lab. Understanding that relationship is also crucial for developing better ways to diagnose and treat nervous system disorders and mental illness, she says, noting that the drugs used to treat these conditions typically aim to modulate the brain’s chemical signaling, yet studies of brain activity are more likely to focus on electrical signals, which are easier to measure.

Schwerdt and colleagues in Graybiel’s lab have developed new tools so that chemical and electrical signals can, for the first time, be measured simultaneously in the brains of primates. In a study published September 25, 2020, in Science Advances, they used those tools to reveal an unexpectedly complex relationship between two types of signals that are disrupted in patients with Parkinson’s disease—dopamine signaling and coordinated waves of electrical activity known as beta-band oscillations.

Complicated relationship

Graybiel’s team focused its attention on beta-band activity and dopamine signaling because studies of patients with Parkinson’s disease had suggested a straightforward inverse relationship between the two. The tremors, slowness of movement, and other symptoms associated with the disease develop and progress as the brain’s production of the neurotransmitter dopamine declines, and at the same time, beta-band oscillations surge to abnormal levels. Beta-band oscillations are normally observed in parts of the brain that control movement when a person is paying attention or planning to move. It’s not clear what they do or why they are disrupted in patients with Parkinson’s disease. But because patients’ symptoms tend to be worst when beta activity is high—and because beta activity can be measured in real time with sensors placed on the scalp or with a deep-brain stimulation device that has been implanted for treatment, researchers have been hopeful that it might be useful for monitoring the disease’s progression and patients’ response to treatment. In fact, clinical trials are already underway to explore the effectiveness of modulating deep-brain stimulation treatment based on beta activity.

When Schwerdt and colleagues examined these two types of signals in the brains of rhesus macaques, they discovered that the relationship between beta activity and dopamine is more complicated than previously thought.

Their new tools allowed them to simultaneously monitor both signals with extraordinary precision, targeting specific parts of the striatum—a region deep within the brain involved in controlling movement, where dopamine is particularly abundant—and taking measurements on the millisecond time scale to capture neurons’ rapid-fire communications.

They took these measurements as the monkeys performed a simple task, directing their gaze in a particular direction in anticipation of a reward. This allowed the researchers to track chemical and electrical signaling during the active, motivated movement of the animals’ eyes. They found that beta activity did increase as dopamine signaling declined—but only in certain parts of the striatum and during certain tasks. The reward value of a task, an animal’s past experiences, and the particular movement the animal performed all impacted the relationship between the two types of signals.

Multi-modal systems allow subsecond recording of chemical and electrical neural signals in the form of dopamine molecular concentrations and beta-band local field potentials (beta LFPs), respectively. Online measurements of dopamine and beta LFP (time-dependent traces displayed in box on right) were made in the primate striatum (caudate nucleus and putamen colored in green and purple, respectively, in the left brain image) as the animal was performing a task in which eye movements were made to cues displayed on the left (purple event marker line) and right (green event) of a screen in order to receive large or small amounts of food reward (red and blue events). Dopamine and beta LFP neural signals are centrally implicated in Parkinson’s disease and other brain disorders. Image: Helen Schwerdt

“What we expected is there in the overall view, but if we just look at a different level of resolution, all of a sudden the rules don’t hold,” says Graybiel, who is also an MIT Institute Professor. “It doesn’t destroy the likelihood that one would want to have a treatment related to this presumed opposite relationship, but it does say there’s something more here that we haven’t known about.”

The researchers say it’s important to investigate this more nuanced relationship between dopamine signaling and beta activity, and that understanding it more deeply might lead to better treatments for patients with Parkinson’s disease and related disorders. While they plan to continue to examine how the two types of signals relate to one another across different parts of the brain and under different behavioral conditions, they hope that other teams will also take advantage of the tools they have developed. “As these methods in neuroscience become more and more precise and dazzling in their power, we’re bound to discover new things,” says Graybiel.

This study was supported by the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Neurological Disorders and Stroke, the Army Research Office, the Saks Kavanaugh Foundation, the National Science Foundation, Kristin R. Pressman and Jessica J. Pourian ’13 Fund, and Robert Buxton.

Robert Desimone to receive Goldman-Rakic Prize

Robert Desimone, the Doris and Don Berkey Professor in Brain and Cognitive Sciences at MIT, has been named a winner of this year’s Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience Research. The award, given annually by the Brain and Behavior Research Foundation, is named in recognition of former Yale University neuroscientist Patricia Goldman-Rakic.

Desimone, who is also the director of the McGovern Institute for Brain Research, studies the brain mechanisms underlying attention, and most recently he has been studying animal models for brain disorders.

Desimone will deliver his prize lecture at the 2020 Annual International Mental Health Research Virtual Symposium on October 30, 2020.

New molecular therapeutics center established at MIT’s McGovern Institute

More than one million Americans are diagnosed with a chronic brain disorder each year, yet effective treatments for most complex brain disorders are inadequate or even nonexistent.

A major new research effort at MIT’s McGovern Institute aims to change how we treat brain disorders by developing innovative molecular tools that precisely target dysfunctional genetic, molecular, and circuit pathways.

The K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience was established at MIT through a $28 million gift from philanthropist Lisa Yang and MIT alumnus Hock Tan ’75. Yang is a former investment banker who has devoted much of her time to advocacy for individuals with disabilities and autism spectrum disorders. Tan is President and CEO of Broadcom, a global technology infrastructure company. This latest gift brings Yang and Tan’s total philanthropy to MIT to more than $72 million.

Lisa Yang (center) and MIT alumnus Hock Tan ’75 with their daughter Eva (far left) pictured at the opening of the Hock E. Tan and K. Lisa Yang Center for Autism Research in 2017. Photo: Justin Knight

“In the best MIT spirit, Lisa and Hock have always focused their generosity on insights that lead to real impact,” says MIT President L. Rafael Reif. “Scientifically, we stand at a moment when the tools and insights to make progress against major brain disorders are finally within reach. By accelerating the development of promising treatments, the new center opens the door to a hopeful new future for all those who suffer from these disorders and those who love them. I am deeply grateful to Lisa and Hock for making MIT the home of this pivotal research.”

Engineering with precision

Research at the K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience will initially focus on three major lines of investigation: genetic engineering using CRISPR tools, delivery of genetic and molecular cargo across the blood-brain barrier, and the translation of basic research into the clinical setting. The center will serve as a hub for researchers with backgrounds ranging from biological engineering and genetics to computer science and medicine.

“Developing the next generation of molecular therapeutics demands collaboration among researchers with diverse backgrounds,” says Robert Desimone, McGovern Institute Director and Doris and Don Berkey Professor of Neuroscience at MIT. “I am confident that the multidisciplinary expertise convened by this center will revolutionize how we improve our health and fight disease in the coming decade. Although our initial focus will be on the brain and its relationship to the body, many of the new therapies could have other health applications.”

There are an estimated 19,000 to 22,000 genes in the human genome and a third of those genes are active in the brain–the highest proportion of genes expressed in any part of the body.

Variations in genetic code have been linked to many complex brain disorders, including depression and Parkinson’s. Emerging genetic technologies, such as the CRISPR gene editing platform pioneered by McGovern Investigator Feng Zhang, hold great potential in both targeting and fixing these errant genes. But the safe and effective delivery of this genetic cargo to the brain remains a challenge.

Researchers within the new Yang-Tan Center will improve and fine-tune CRISPR gene therapies and develop innovative ways of delivering gene therapy cargo into the brain and other organs. In addition, the center will leverage newly developed single cell analysis technologies that are revealing cellular targets for modulating brain functions with unprecedented precision, opening the door for noninvasive neuromodulation as well as the development of medicines. The center will also focus on developing novel engineering approaches to delivering small molecules and proteins from the bloodstream into the brain. Desimone will direct the center and some of the initial research initiatives will be led by Associate Professor of Materials Science and Engineering Polina Anikeeva; Ed Boyden, the Y. Eva Tan Professor in Neurotechnology at MIT; Guoping Feng, the James W. (1963) and Patricia T. Poitras Professor of Brain and Cognitive Sciences at MIT; and Feng Zhang, James and Patricia Poitras Professor of Neuroscience at MIT.

Building a research hub

“My goal in creating this center is to cement the Cambridge and Boston region as the global epicenter of next-generation therapeutics research. The novel ideas I have seen undertaken at MIT’s McGovern Institute and Broad Institute of MIT and Harvard leave no doubt in my mind that major therapeutic breakthroughs for mental illness, neurodegenerative disease, autism and epilepsy are just around the corner,” says Yang.

Center funding will also be earmarked to create the Y. Eva Tan Fellows program, named for Tan and Yang’s daughter Eva, which will support fellowships for young neuroscientists and engineers eager to design revolutionary treatments for human diseases.

“We want to build a strong pipeline for tomorrow’s scientists and neuroengineers,” explains Hock Tan. “We depend on the next generation of bright young minds to help improve the lives of people suffering from chronic illnesses, and I can think of no better place to provide the very best education and training than MIT.”

The molecular therapeutics center is the second research center established by Yang and Tan at MIT. In 2017, they launched the Hock E. Tan and K. Lisa Yang Center for Autism Research, and, two years later, they created a sister center at Harvard Medical School, with the unique strengths of each institution converging toward a shared goal: understanding the basic biology of autism and how genetic and environmental influences converge to give rise to the condition, then translating those insights into novel treatment approaches.

All tools developed at the molecular therapeutics center will be shared globally with academic and clinical researchers with the goal of bringing one or more novel molecular tools to human clinical trials by 2025.

“We are hopeful that our centers, located in the heart of the Cambridge-Boston biotech ecosystem, will spur further innovation and fuel critical new insights to our understanding of health and disease,” says Yang.

 

How general anesthesia reduces pain

General anesthesia is medication that suppresses pain and renders patients unconscious during surgery, but whether pain suppression is simply a side effect of loss of consciousness has been unclear. Fan Wang and colleagues have now identified the circuits linked to pain suppression under anesthesia in mouse models, showing that this effect is separable from the unconscious state itself.

“Existing literature suggests that the brain may contain a switch that can turn off pain perception,” explains Fan Wang, a professor at Duke University and lead author of the study. “I had always wanted to find this switch, and it occurred to me that general anesthetics may activate this switch to produce analgesia.”

Wang, who will join the McGovern Institute in January 2021, set out to test this idea with her student, Thuy Hua, and postdoc, Bin Chen.

Pain suppressor

Loss of pain, or analgesia, is an important property of anesthetics that helps to make surgical and invasive medical procedures humane and bearable. In spite of their long use in the medical world, there is still very little understanding of how anesthetics work. It has generally been assumed that a side effect of loss of consciousness is analgesia, but several recent observations have brought this idea into question, and suggest that changes in consciousness might be separable from pain suppression.

A key clue that analgesia is separable from general anesthesia comes from the accounts of patients that regain consciousness during surgery. After surgery, these patients can recount conversations between staff or events that occurred in the operating room, despite not feeling any pain. In addition, some general anesthetics, such as ketamine, can be deployed at low concentrations for pain suppression without loss of consciousness.

Following up on these leads, Wang and colleagues set out to uncover which neural circuits might be involved in suppressing pain during exposure to general anesthetics. Using CANE, a procedure developed by Wang that can detect which neurons activate in response to an event, Wang discovered a new population of GABAergic neurons activated by general anesthetic in the mouse central amygdala.

These neurons become activated in response to different anesthetics, including ketamine, dexmedetomidine, and isoflurane. Using optogenetics to manipulate the activity state of these neurons, Wang and her lab found that they led to marked changes in behavioral responses to painful stimuli.

“The first time we used optogenetics to turn on these cells, a mouse that was in the middle of taking care of an injury simply stopped and started walked around with no sign of pain,” Wang explains.

Specifically, activating these cells blocks pain in multiple models and tests, whereas inhibiting these neurons rendered mice aversive to gentle touch — suggesting that they are involved in a newly uncovered central pain circuit.

The study has implications for both anesthesia and pain. It shows that general anesthetics have complex, multi-faceted effects and that the brain may contain a central pain suppression system.

“We want to figure out how diverse general anesthetics activate these neurons,” explains Wang. “That way we can find compounds that can specifically activate these pain-suppressing neurons without sedation. We’re now also testing whether placebo analgesia works by activating these same central neurons.”

The study also has implications for addiction as it may point to an alternative system for central pain suppression that could be a target of drugs that do not have the devastating side effects of opioids.

Fan Wang joins the McGovern Institute

The McGovern Institute is pleased to announce that Fan Wang, currently a Professor at Duke University, will be joining its team of investigators in 2021. Wang is well-known for her work on sensory perception, pain, and behavior. She takes a broad, and very practical approach to these questions, knowing that sensory perception has broad implications for biomedicine when it comes to pain management, addiction, anesthesia, and hypersensitivity.

“McGovern is a dream place for doing innovative and transformative neuroscience.” – Fan Wang

“I am so thrilled that Fan is coming to the McGovern Institute,” says Robert Desimone, director of the institute and the Doris and Don Berkey Professor of Neuroscience at MIT. “I’ve followed her work for a number of years, and she is making inroads into questions that are relevant to a number of societal problems, such as how we can turn off the perception of chronic pain.”

Wang brings with her a range of techniques developed in her lab, including CANE, which precisely highlights neurons that become activated in response to a stimulus. CANE is highlighting new neuronal subtypes in long-studied brain regions such as the amygdala, and recently elucidated previously undefined neurons in the lateral parabrachial nucleus involved in pain processing.

“I am so excited to join the McGovern Institute,” says Wang. “It is a dream place for doing innovative and transformative neuroscience. McGovern researchers are known for using the most cutting-edge, multi-disciplinary technologies to understand how the brain works. I can’t wait to join the team.”

Wang earned her PhD in 1998 with Richard Axel at Columbia University, subsequently conducting postdoctoral research at Stanford University with Mark Tessier-Lavigne. Wang joined Duke University as a Professor in the Department of Neurobiology in 2003, and was later appointed the Morris N. Broad Distinguished Professor of Neurobiology at Duke University School of Medicine. Wang will join the McGovern Institute as an investigator in January 2021.

COMMANDing drug delivery

While we are starting to get a handle on drugs and therapeutics that might to help alleviate brain disorders, efficient delivery remains a roadblock to tackling these devastating diseases. Research from the Graybiel, Cima, and Langer labs now uses a computational approach, one that accounts for the irregular shape of the target brain region, to deliver drugs effectively and specifically.

“Identifying therapeutic molecules that can treat neural disorders is just the first step,” says McGovern Investigator Ann Graybiel.

“There is still a formidable challenge when it comes to precisely delivering the therapeutic to the cells most affected in the disorder,” explains Graybiel, an MIT Institute Professor and a senior author on the paper. “Because the brain is so structurally complex, and subregions are irregular in shape, new delivery approaches are urgently needed.”

Fine targeting

Brain disorders often arise from dysfunction in specific regions. Parkinson’s disease, for example, arise from loss of neurons in a specific forebrain region, the striatum. Targeting such structures is a major therapeutic goal, and demands both overcoming the blood brain barrier, while also being specific to the structures affected by the disorder.

Such targeted therapy can potentially be achieved using intracerebral catheters. While this is a more specific form of delivery compared to systemic administration of a drug through the bloodstream, many brain regions are irregular in shape. This means that delivery throughout a specific brain region using a single catheter, while also limiting the spread of a given drug beyond the targeted area, is difficult. Indeed, intracerebral delivery of promising therapeutics has not led to the desired long-term alleviation of disorders.

“Accurate delivery of drugs to reach these targets is really important to ensure optimal efficacy and avoid off-target adverse effects. Our new system, called COMMAND, determines how best to dose targets,” says Michael Cima, senior author on the study and the David H. Koch Professor of Engineering in the Department of Materials Science and Engineering and a member of MIT’s Koch Institute for Integrative Cancer Research.

3D renderings of simulated multi-bolus delivery to various brain structures (striatum, amygdala, substantia nigra, and hippocampus) with one to four boluses.

COMMAND response

In the case of Parkinson’s disease, implants are available that limit symptoms, but these are only effective in a subset of patients. There are, however, a number of promising potential therapeutic treatments, such as GDNF administration, where long-term, precise delivery is needed to move the therapy forward.

The Graybiel, Cima, and Langer labs developed COMMAND (computational mapping algorithms for neural drug delivery) that helps to target a drug to a specific brain region at multiple sites (multi-bolus delivery).

“Many clinical trials are believed to have failed due to poor drug distribution following intracerebral injection,” explained Khalil Ramadi, PhD ’19, one of the lead researchers on the paper, and a postdoctoral fellow at the Koch and McGovern Institute. “We rationalized that both research experiments and clinical therapies would benefit from computationally optimized infusion, to enable greater consistency across groups and studies, as well as more efficacious therapeutic delivery.”

The COMMAND system finds balance between the twin challenges of drug delivery by maximizing on-target and minimizing off-target delivery. COMMAND is essentially an algorithm that minimizes an error that reflects leakage beyond the bounds of a specific target area, in this case the striatum. A second error is also minimized, and this encapsulates the need to target across this irregularly shaped brain region. The strategy to overcome this is to deliver multiple “boluses” to different areas of the striatum to target this region precisely, yet completely.

“COMMAND applies a simple principle when determining where to place the drug: Maximize the amount of drug falling within the target brain structure and minimize tissues exposed beyond the target region,” explains Ashvin Bashyam, PhD ’19, co-lead author and a former graduate student with Michael Cima at MIT. “This balance is specified based drug properties such as minimum effective therapeutic concentration, toxicity, and diffusivity within brain tissue.”

The number of drug sites applied is kept as low as possible, keeping surgery simple while still providing enough flexibility to cover the target region. In computational simulations, the researchers were able to deliver drugs to compact brain structures, such as the striatum and amygdala, but also broader and more irregular regions, such as hippocampus.

To examine the spatiotemporal dynamics of actual delivery, the researchers used positron emission tomography (PET) and a ‘labeled’ solution, Cu-64, that allowed them to image and follow an infused bolus after delivery with a microprobe. Using this system, the researchers successfully used PET to validate the accuracy of multi-bolus delivery to the rat striatum and its coverage as guided by COMMAND.

“We anticipate that COMMAND can improve researchers’ ability to precisely target brain structures to better understand their function, and become a platform to standardize methods across neuroscience experiments,” explains Graybiel. “Beyond the lab, we hope COMMAND will lay the foundation to help bring multifocal, chronic drug delivery to patients.”

Universal musical harmony

Many forms of Western music make use of harmony, or the sound created by certain pairs of notes. A longstanding question is why some combinations of notes are perceived as pleasant while others sound jarring to the ear. Are the combinations we favor a universal phenomenon? Or are they specific to Western culture?

Through intrepid research trips to the remote Bolivian rainforest, the McDermott lab at the McGovern Institute has found that aspects of the perception of note combinations may be universal, even though the aesthetic evaluation of note combination as pleasant or unpleasant is culture-specific.

“Our work has suggested some universal features of perception that may shape musical behavior around the world,” says McGovern Associate Investigator Josh McDermott, senior author of the Nature Communications study. “But it also indicates the rich interplay with cultural influences that give rise to the experience of music.”

Remote learning

Questions about the universality of musical perception are difficult to answer, in part because of the challenge in finding people with little exposure to Western music. McDermott, who is also an associate professor in MIT’s Department of Brain and Cognitive Sciences and an investigator in the Center for Brains Minds and Machines, has found a way to address this problem. His lab has performed a series of studies with the participation of an indigenous population, the Tsimane’, who live in relative isolation from Western culture and have had little exposure to Western music. Accessing the Tsimane’ villages is challenging, as they are scattered throughout the rainforest and only reachable during the dry part of the year.

Left to right Josh McDermott (in vehicle), Alex Durango, Sophie Dolan and Malinda McPherson experiencing a travel delay en route to a Tsimane’ village after a heavy rainfall. Photo: Malinda McPherson

“When we enter a village there is always a crowd of curious children to greet us,” says Malinda McPherson, a graduate student in the lab and lead author of the study. “Tsimane’ are friendly and welcoming, and we have visited some villages several times, so now many people recognize us.”

In a study published in 2019, McDermott’s team found evidence that the brain’s ability to detect musical octaves is not universal, but is gained through cultural experience. And in 2016 they published findings suggesting that the preference for consonance over dissonance is culture-specific. In their new study, the team decided to explore whether aspects of the perception of consonance and dissonance might nonetheless be universally present across cultures.

Music lessons

In Western music, harmony is the sound of two or more notes heard simultaneously. Think of the Leonard Cohen song, Hallelujah, where he sings about harmony (“the fourth, the fifth, the minor fall and the major lift”). A combination of two notes is called an interval, and intervals that are perceived to be the most pleasant (or consonant, like the fourth and the fifth, for example) to the Western ear are generally represented by smaller integer ratios.

Intervals that are related by low integer ratios have fascinated scientists for centuries.

“Such intervals are central to Western music, but are also believed to be a common feature of many musical systems around the world,” McPherson explains. “So intervals are a natural target for cross-cultural research, which can help identify aspects of perception that are and aren’t independent of cultural experience.”

Scientists have been drawn to low integer ratios in music in part because they relate to the frequencies in voices and many instruments, known as ‘overtones’. Overtones from sounds like voices form a particular pattern known as the harmonic series. As it happens, the combination of two concurrent notes related by a low integer ratio partially reproduces this pattern. Because the brain presumably evolved to represent natural sounds, such as voices, it has seemed plausible that intervals with low integer ratios might have special perceptual status across cultures.

Since the Tsimane’ do not generally sing or play music together, meaning they have not been trained to hear or sing in harmony, McPherson and her colleagues were presented with a unique opportunity to explore whether there is anything universal about the perception of musical intervals.

Taking notes

In order to probe the perception of musical intervals, McDermott and colleagues took advantage of the fact that ears accustomed to Western musical harmony often have difficulty picking apart two “consonant” notes when they are played at the same time. This auditory confusion is known as “fusion” in the field. By contrast, two “dissonant” notes are easier to hear as separate.

The tendency of “consonant” notes to be heard by Westerners as fused could reflect their common occurrence in Western music. But it could also be driven by the resemblance of low-integer-ratio note combinations to the harmonic series. This similarity of consonant intervals to the acoustic structure of typical natural sounds raises the possibility that the human brain is biologically tuned to “fuse” consonant notes.

Graduate student and lead author, Malinda McPherson, works with a participant and translator in the field. Photo: Malinda McPherson

To explore this question, the team ran identical sets of experiments on two participant groups: US non-musicians residing in the Boston metropolitan area and Tsimane’ residing in villages in the Amazon rain forest. Listeners heard two concurrent notes separated by a particular musical interval (consonant or dissonant), and were asked to judge whether they heard one or two sounds. The experiment was performed with both synthetic and natural sounds.

They found that like the Boston cohort, the Tsimane’ were more likely to mistake two notes as a single sound if they were consonant than if they were dissonant.

“I was surprised by how similar some of the results in Tsimane’ participants were to those in US participants,” says McPherson, “particularly given the striking differences that we consistently see in preferences for musical intervals.”

When it came to whether consonant intervals were more pleasant than dissonant intervals, the results told a very different story. While the US study participants found consonant intervals more pleasant than dissonant intervals, the Tsimane’ showed no preference, implying that our sense of what is pleasant is shaped by culture.

“The fusion results provide an example of a perceptual effect that could influence musical systems, for instance by creating a natural perceptual contrast to exploit,” explains McDermott. “Hopefully our work helps to show how one can conduct rigorous perceptual experiments in the field and learn things that would be hidden if we didn’t consider populations in other parts of the world.”

Turning lemons into lemonade

When it was announced that all non-research staff were to work from home I think we were all in shock – well, I was in shock.

I always envisioned my role as being tied to actually being on campus in our building.  That said, our headquarters packed up in record time and in one day we were all working from home.  I thrive on a lot of structure in my day, so coordinated a daily check-in meeting with our HQ team. I think that has made a big difference in how we have all acclimated to working at home.

We are still connected, troubleshooting issues, and being incredibly productive.

I spent the first month basically coordinating the ramp-down of the building, so many lists!  Now thankfully, we are looking to the future, and to one day re-engaging with the building.

I see myself as a conduit for information from senior leadership at MIT to our group in MIBR HQ and I continue to brainstorm with staff, gather each morning for coffee, and put forth a glass half-full mentality.  The team I work with is amazing and I feel we keep each other focused and committed to supporting our researchers and faculty, and keeping our cool under challenging circumstances. I’ve also kept up with my workout routine and have started experimenting with different recipes for my family.  I continue to try to turn lemons into lemonade, both at work and home.


Gayle Lutchen has been the Assistant Director for Administration at the McGovern Institute for twenty years. 

#WeAreMcGovern

SHERLOCK-based one-step test provides rapid and sensitive COVID-19 detection 

A team of researchers at the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, the Ragon Institute, and the Howard Hughes Medical Institute (HHMI) has developed a new diagnostics platform called STOP (SHERLOCK Testing in One Pot) COVID. The test can be run in an hour as a single-step reaction with minimal handling, advancing the CRISPR-based SHERLOCK diagnostic technology closer to a point-of-care or at-home testing tool. The test has not been reviewed or approved by the FDA and is currently for research purposes only.

The team began developing tests for COVID-19 in January after learning about the emergence of a new virus which has challenged the healthcare system in China. The first version of the team’s SHERLOCK-based COVID-19 diagnostics system is already being used in hospitals in Thailand to help screen patients for COVID-19 infection.

The ability to test for COVID-19 at home, or even in pharmacies or places of employment, could be a game-changer for getting people safely back to work and into their communities.

The new test is named “STOPCovid” and is based on the STOP platform. In research it has been shown to enable rapid, accurate, and highly sensitive detection of the COVID-19 virus SARS-CoV-2 with a simple protocol that requires minimal training and uses simple, readily-available equipment, such as test tubes and water baths. STOPCovid has been validated in research settings using nasopharyngeal swabs from patients diagnosed with COVID-19. It has also been tested successfully in saliva samples to which SARS-CoV-2 RNA has been added as a proof-of-principle.

The team is posting the open protocol today on a new website, STOPCovid.science. It is being made openly available in line with the COVID-19 Technology Access Framework organized by Harvard, MIT, and Stanford. The Framework sets a model by which critically important technologies that may help prevent, diagnose, or treat COVID-19 infections may be deployed for the greatest public benefit without delay.

There is an urgent need for widespread, accurate COVID-19 testing to rapidly detect new cases, ideally without the need for specialized lab equipment. Such testing would enable early detection of new infections and drive effective “test-trace-isolate” measures to quickly contain new outbreaks. However, current testing capacity is limited by a combination of requirements for complex procedures and laboratory instrumentation and dependence on limited supplies. STOPCovid can be performed without RNA extraction, and while all patient tests have been performed with samples from nasopharyngeal swabs, preliminary experiments suggest that eventually swabs may not be necessary. Removing these barriers could help enable broad distribution.

“The ability to test for COVID-19 at home, or even in pharmacies or places of employment, could be a game-changer for getting people safely back to work and into their communities,” says Feng Zhang, a co-inventor of the CRISPR genome editing technology, an investigator at the McGovern Institute and HHMI, and a core member at the Broad Institute. “Creating a point-of-care tool is a critically important goal to allow timely decisions for protecting patients and those around them.”

To meet this need, Zhang, McGovern Fellows Omar Abudayyeh and Jonathan Gootenberg, and colleagues initiated a push to develop STOPCovid. They are sharing their findings and packaging reagents so other research teams can rapidly follow up with additional testing or development. The group is also sharing data on the StopCOVID.science website and via a submitted preprint. The website is also a hub where the public can find the latest information on the team’s developments.

McGovern Institute Fellows Jonathan Gootenberg (far left) Omar Abudayyeh and have developed a CRISPR research tool to detect COVID-19 with McGovern Investigator Feng Zhang (far right).
Credit: Justin Knight

How it works

The STOPCovid test combines CRISPR enzymes, programmed to recognize signatures of the SARS-CoV-2 virus, with complementary amplification reagents. This combination allows detection of as few as 100 copies of SARS-CoV-2 virus in a sample. As a result, the STOPCovid test allows for rapid, accurate, and highly sensitive detection of COVID-19 that can be conducted outside clinical laboratory settings.

STOPCovid has been tested on patient nasopharyngeal swab in parallel with clinically-validated tests. In these head-to-head comparisons, STOPCovid detected infection with 97% sensitivity and 100% specificity. Results appear on an easy-to-read strip that is akin to a pregnancy test, in the absence of any expensive or specialized lab equipment. Moreover, the researchers spiked mock SARS-CoV-2 genomes into healthy saliva samples and showed that STOPCovid is capable of sensitive detection from saliva, which would obviate the need for swabs in short supply and potentially make sampling much easier.

“The test aims to ultimately be simple enough that anyone can operate it in low-resource settings, including in clinics, pharmacies, or workplaces, and it could potentially even be put into a turn-key format for use at home,” says Abudayyeh.

Gootenberg adds, “Since STOPCovid can work in less than an hour and does not require any specialized equipment, and if our preliminary results from testing synthetic virus in saliva bear out in patient samples, it could address the need for scalable testing to reopen our society.”

The STOPCovid team during a recent zoom meeting. Image: Omar Abudayyeh

Importantly, the full test — both the viral genome amplification and subsequent detection — can be completed in a single reaction, as outlined on the website, from swabs or saliva. To engineer this, the team tested a number of CRISPR enzymes to find one that works well at the same temperature needed by the enzymes that perform the amplification. Zhang, Abudayyeh, Gootenberg and their teams, including graduate students Julia Joung and Alim Ladha, settled on a protein called AapCas12b, a CRISPR protein from the bacterium Alicyclobacillus acidophilus, responsible for the “off” taste associated with spoiled orange juice. With AapCas12b, the team was able to develop a test that can be performed at a constant temperature and does not require opening tubes midway through the process, a step that often leads to contamination and unreliable test results.

Information sharing and next steps

The team has prepared reagents for 10,000 tests to share with scientists and clinical collaborators for free around the world who want to evaluate the STOPCovid test for potential diagnostic use, and they have set up a website to share the latest data and updates with the scientific and clinical community. Kits and reagents can also be requested via a form on the website.


Acknowledgments: Patient samples were provided by Keith Jerome, Alex Greninger, Robert Bruneau, Mee-li W. Huang, Nam G. Kim, Xu Yu, Jonathan Li, and Bruce Walker. This work was supported by the Patrick J. McGovern Foundation and the McGovern Institute for Brain Research. F.Z is also supported by the NIH (1R01- MH110049 and 1DP1-HL141201 grants); Mathers Foundation; the Howard Hughes Medical Institute; Open Philanthropy Project; J. and P. Poitras; and R. Metcalfe.

Declaration of conflicts of interest: F.Z., O.O.A., J.S.G., J.J., and A.L. are inventors on patent applications related to this technology filed by the Broad Institute, with the specific aim of ensuring this technology can be made freely, widely, and rapidly available for research and deployment. O.O.A., J.S.G., and F.Z. are co-founders, scientific advisors, and hold equity interests in Sherlock Biosciences, Inc. F.Z. is also a co-founder of Editas Medicine, Beam Therapeutics, Pairwise Plants, and Arbor Biotechnologies.

Optogenetics with SOUL

Optogenetics has revolutionized neurobiology, allowing researchers to use light to activate or deactivate neurons that are genetically modified to express a light-sensitive channel. This ability to manipulate neuron activity has allowed causal testing of the function of specific neurons, and also has therapeutic potential to reduce symptoms in brain disorders. However, activating neurons deep within a given brain, especially a large primate brain but even a small mouse brain, is challenging and currently requires implanting fibers that could cause damage or inflammation.

McGovern Investigator Guoping Feng and colleagues have now overcome this challenge, developing optogenetic tools that allow non-invasive stimulation of neurons in the deep brain.

“Neuroscientists have dreamed of methods to turn neurons on and off, to understand the function of different neurons, but also to repair brain malfunctions that lead to psychiatric disorders, and optogenetics made this possible” explained Feng, the James W. (1963) and Patricia T. Poitras Professor in Brain and Cognitive Sciences. “We were trying to improve the light sensitivity of optogenetic tools to broaden applications.”

Engineering with light

In order to stimulate neurons with minimal invasiveness, Feng and colleagues engineered a new type of opsin. The original breakthrough optogenetics protocol used channelrhodopsin, a light-sensitive channel discovered in algae. By expressing this channel in neurons, light of the right wavelength can be used to activate the neuron in a dish or in vivo. However, in vivo application requires the implantation of optical fibers to deliver the light close to the specific brain region being stimulated, especially if the target region is in the deep brain. In addition, if the neuron being targeted is in the deep brain, it is hard for light to reach the region in the absence of invasive tools that can damage tissue and impact the behavior of the animal.

Our study creates a method that can activate any mouse brain region, independent of its location, non-invasively.

“Prior to our study, a few studies have contributed in various ways to the development of optogenetic stimulation methods that would be minimally invasive to the brain. However, all of these studies had various limitations in the extent of brain regions they could activate,” said co-senior study author Robert Desimone, director of the McGovern Institute and the Doris and Don Berkey Professor of Neuroscience at MIT.

Probing the brain with SOUL

Feng and colleagues turned instead to new opsins, in particular SOUL, a new type of opsin that is very sensitive to even low-level light. The Feng group engineered this opsin, based on SSFO a second generation optogenetics tool, to have increased light sensitivity, and took advantage of a second property: that SOUL is activated in multiple steps, and once activated, it stays active for longer than other commonly used opsins. This means that a burst of a few seconds of low-level light can cause neurons to stay active for 10-30 minutes.

In order to put SOUL through its paces, the Feng lab expressed this channel in the lateral hypothalamus of the mouse brain. This is a deep region, challenging to reach with light, but with neurons that have clear functions that will lead to changes in behavior. Feng’s group was able to turn on this region non-invasively with light from outside the skull, and cause changes in feeding behavior.

“We were really surprised that SOUL was able to activate one of the deepest areas in the mouse brain, the lateral hypothalamus, which is 6 mm deep,” explains Feng.

But there were more surprises. When the authors activated a region of the primate brain using SOUL, they saw oscillations, waves of synchronized neuronal activity coming together like a choir. Such waves are believed to be important for many brain functions, and this result suggests that the new opsin can manipulate these brain waves, allowing scientists to study their role in the brain.

The authors are planning to move the study in several directions, studying models of brain disorders to identify circuits that may be suitable targets for therapy, as well as moving the methodology so that it can be used beyond the superficial cortex in larger animals. While it is too early to discuss applying the system to humans, the research brings us one step closer to future treatment of neurological disorders.