Genome editing becomes more accurate

Earlier this year, MIT researchers developed a way to easily and efficiently edit the genomes of living cells. Now, the researchers have discovered key factors that influence the accuracy of the system, an important step toward making it safer for potential use in humans, says Feng Zhang, leader of the research team.

With this technology, scientists can deliver or disrupt multiple genes at once, raising the possibility of treating human disease by targeting malfunctioning genes. To help with that process, Zhang’s team, led by graduate students Patrick Hsu and David Scott, has now created a computer model that can identify the best genetic sequences to target a given gene.

“Using this, you will be able to identify ways to target almost every gene. Within every gene, there are hundreds of locations that can be edited, and this will help researchers narrow down which ones are better than others,” says Zhang, an assistant professor of brain and cognitive sciences at MIT and senior author of a paper describing the new model, appearing in the July 21 online edition of Nature Biotechnology.

The genome-editing system, known as CRISPR, exploits a protein-RNA complex that bacteria use to defend themselves from infection. The complex includes short RNA sequences bound to an enzyme called Cas9, which slices DNA. These RNA sequences are designed to target specific locations in the genome; when they encounter a match, Cas9 cuts the DNA.

This approach can be used either to disrupt the function of a gene or to replace it with a new one. To replace the gene, the researchers must also add a DNA template for the new gene, which would be copied into the genome after the DNA is cut.

This technique offers a much faster and more efficient way to create transgenic mice, which are often used to study human disease. Current methods for creating such mice require adding small pieces of DNA to mouse embryonic cells. However, the process is inefficient and time-consuming.

With CRISPR, many genes are edited at once, and the entire process can be done in three weeks, says Zhang, who is the W. M. Keck Career Development Professor in Biomedical Engineering at MIT and a core member of the Broad Institute and MIT’s McGovern Institute for Brain Research. The system can also be used to create genetically modified cell lines for lab experiments much more efficiently.

Fine-tuning

Since Zhang and his colleagues first described the original system in January, more than 2,000 labs around the world have started using the system to generate their own genetically modified cell lines or animals. In the new paper, the researchers describe improvements in both the efficiency and accuracy of gene editing.

To modify genes using this system, an RNA “guide strand” complementary to a 20-base-pair sequence of targeted DNA is delivered to cells. After the RNA strand binds to the target DNA, it recruits the Cas9 enzyme, which snips the DNA in the correct location.

The researchers discovered they could minimize the chances of the Cas9-RNA complex accidentally cleaving the wrong site by making sure the target sequence is not too similar to other sequences found in the genome. They found that if an off-target sequence differs from the target sequence by three or fewer base pairs, the editing complex will likely also cleave that sequence, which could have deleterious effects for the cell.

The team’s new computer model can search any sequence within the mouse or human genome and identify 20-base-pair sequences within that region that have the least overlap with sequences elsewhere in the genome.

Another way to improve targeting specificity is by adjusting the dosage of the guide RNA, the researchers found. In general, decreasing the amount of RNA delivered minimizes damage to off-target sites but has a much smaller effect on cleavage of the target sequence. For each sequence, the “sweet spot” with the best balance of high on-target effects and low off-target effects can be calculated, Zhang says.

“The real value of this paper is that it does a very comprehensive and systematic analysis to understand the causes of off-target effects. That analysis suggests a lot of possible ways to eliminate or reduce off-target effects,” says Michael Terns, a professor of biochemistry and molecular biology at the University of Georgia who was not part of the research team.

Zhang and his colleagues also optimized the structure of the RNA guide needed for efficient activation of Cas9. In the January paper describing the original system, the researchers found that two separate RNA strands working together — one that binds to the target DNA and another that recruits Cas9 — produced better results than when those two strands were fused together before delivery. However, in experiments reported in the new paper, the researchers found that they could boost the efficiency of the fused RNA strand by making the strand longer. These longer RNA guide strands include a hairpin structure that may stabilize the molecules and help them interact with Cas9, Zhang says.

Zhang’s team is now working on further improving the specificity of the system, and plans to start generating cell lines and animals that could be used to study how the brain develops and builds neural circuits. By disrupting genes known to be involved in those processes, they can learn more about how they work and how they are impaired in neurological disease.

The research was funded by a National Institutes of Health Director’s Pioneer Award; an NIH Transformative R01 grant; the Keck, McKnight, Damon Runyan, Searle Scholars, Klingenstein and Simons foundations; Bob Metcalfe; and Jane Pauley.

Controlling genes with light

Although human cells have an estimated 20,000 genes, only a fraction of those are turned on at any given time, depending on the cell’s needs — which can change by the minute or hour. To find out what those genes are doing, researchers need tools that can manipulate their status on similarly short timescales.

That is now possible, thanks to a new technology developed at MIT and the Broad Institute that can rapidly start or halt the expression of any gene of interest simply by shining light on the cells.

The work is based on a technique known as optogenetics, which uses proteins that change their function in response to light. In this case, the researchers adapted the light-sensitive proteins to either stimulate or suppress the expression of a specific target gene almost immediately after the light comes on.

“Cells have very dynamic gene expression happening on a fairly short timescale, but so far the methods that are used to perturb gene expression don’t even get close to those dynamics. To understand the functional impact of those gene-expression changes better, we have to be able to match the naturally occurring dynamics as closely as possible,” says Silvana Konermann, an MIT graduate student in brain and cognitive sciences.

The ability to precisely control the timing and duration of gene expression should make it much easier to figure out the roles of particular genes, especially those involved in learning and memory. The new system can also be used to study epigenetic modifications — chemical alterations of the proteins that surround DNA — which are also believed to play an important role in learning and memory.

Konermann and Mark Brigham, a graduate student at Harvard University, are the lead authors of a paper describing the technique in the July 22 online edition of Nature. The paper’s senior author is Feng Zhang, the W. M. Keck Career Development Professor in Biomedical Engineering at MIT and a core member of the Broad Institute and MIT’s McGovern Institute for Brain Research.

Shining light on genes

The new system consists of several components that interact with each other to control the copying of DNA into messenger RNA (mRNA), which carries genetic instructions to the rest of the cell. The first is a DNA-binding protein known as a transcription activator-like effector (TALE). TALEs are modular proteins that can be strung together in a customized way to bind any DNA sequence.

Fused to the TALE protein is a light-sensitive protein called CRY2 that is naturally found in Arabidopsis thaliana, a small flowering plant. When light hits CRY2, it changes shape and binds to its natural partner protein, known as CIB1. To take advantage of this, the researchers engineered a form of CIB1 that is fused to another protein that can either activate or suppress gene copying.

After the genes for these components are delivered to a cell, the TALE protein finds its target DNA and wraps around it. When light shines on the cells, the CRY2 protein binds to CIB1, which is floating in the cell. CIB1 brings along a gene activator, which initiates transcription, or the copying of DNA into mRNA. Alternatively, CIB1 could carry a repressor, which shuts off the process.

A single pulse of light is enough to stimulate the protein binding and initiate DNA copying.

The researchers found that pulses of light delivered every minute or so are the most effective way to achieve continuous transcription for the desired period of time. Within 30 minutes of light delivery, the researchers detected an uptick in the amount of mRNA being produced from the target gene. Once the pulses stop, the mRNA starts to degrade within about 30 minutes.

In this study, the researchers tried targeting nearly 30 different genes, both in neurons grown in the lab and in living animals. Depending on the gene targeted and how much it is normally expressed, the researchers were able to boost transcription by a factor of two to 200.




Epigenetic modifications



An important element of gene-expression control is epigenetic modification. One major class of epigenetic effectors is chemical modification of the proteins, known as histones, that anchor chromosomal DNA and control access to the underlying genes. The researchers showed that they can also alter these epigenetic modifications by fusing TALE proteins with histone modifiers.

Epigenetic modifications are thought to play a key role in learning and forming memories, but this has not been very well explored because there are no good ways to disrupt the modifications, short of blocking histone modification of the entire genome. The new technique offers a much more precise way to interfere with modifications of individual genes.

“We want to allow people to prove the causal role of specific epigenetic modifications in the genome,” Zhang says.

So far, the researchers have demonstrated that some of the histone effector domains can be tethered to light-sensitive proteins; they are now trying to expand the types of histone modifiers they can incorporate into the system.

“It would be really useful to expand the number of epigenetic marks that we can control. At the moment we have a successful set of histone modifications, but there are a good deal more of them that we and others are going to want to be able to use this technology for,” Brigham says.

The research was funded by a Hubert Schoemaker Fellowship; a National Institutes of Health Transformative R01 Award; an NIH Director’s Pioneer Award; the Keck, McKnight, Vallee, Damon Runyon, Searle Scholars, Klingenstein and Simons foundations; and Bob Metcalfe and Jane Pauley.

Breaking habits before they start

Our daily routines can become so ingrained that we perform them automatically, such as taking the same route to work every day. Some behaviors, such as smoking or biting your fingernails, become so habitual that we can’t stop even if we want to.

Although breaking habits can be hard, MIT neuroscientists have now shown that they can prevent them from taking root in the first place, in rats learning to run a maze to earn a reward. The researchers first demonstrated that activity in two distinct brain regions is necessary in order for habits to crystallize. Then, they were able to block habits from forming by interfering with activity in one of the brain regions — the infralimbic (IL) cortex, which is located in the prefrontal cortex.

The MIT researchers, led by Institute Professor Ann Graybiel, used a technique called optogenetics to block activity in the IL cortex. This allowed them to control cells of the IL cortex using light. When the cells were turned off during every maze training run, the rats still learned to run the maze correctly, but when the reward was made to taste bad, they stopped, showing that a habit had not formed. If it had, they would keep going back by habit.

“It’s usually so difficult to break a habit,” Graybiel says. “It’s also difficult to have a habit not form when you get a reward for what you’re doing. But with this manipulation, it’s absolutely easy. You just turn the light on, and bingo.”

Graybiel, a member of MIT’s McGovern Institute for Brain Research, is the senior author of a paper describing the findings in the June 27 issue of the journal Neuron. Kyle Smith, a former MIT postdoc who is now an assistant professor at Dartmouth College, is the paper’s lead author.

Patterns of habitual behavior


Previous studies of how habits are formed and controlled have implicated the IL cortex as well as the striatum, a part of the brain related to addiction and repetitive behavioral problems, as well as normal functions such as decision-making, planning and response to reward. It is believed that the motor patterns needed to execute a habitual behavior are stored in the striatum and its circuits.

Recent studies from Graybiel’s lab have shown that disrupting activity in the IL cortex can block the expression of habits that have already been learned and stored in the striatum. Last year, Smith and Graybiel found that the IL cortex appears to decide which of two previously learned habits will be expressed.

“We have evidence that these two areas are important for habits, but they’re not connected at all, and no one has much of an idea of what the cells are doing as a habit is formed, as the habit is lost, and as a new habit takes over,” Smith says.

To investigate that, Smith recorded activity in cells of the IL cortex as rats learned to run a maze. He found activity patterns very similar to those that appear in the striatum during habit formation. Several years ago, Graybiel found that a distinctive “task-bracketing” pattern develops when habits are formed. This means that the cells are very active when the animal begins its run through the maze, are quiet during the run, and then fire up again when the task is finished.

This kind of pattern “chunks” habits into a large unit that the brain can simply turn on when the habitual behavior is triggered, without having to think about each individual action that goes into the habitual behavior.

The researchers found that this pattern took longer to appear in the IL cortex than in the striatum, and it was also less permanent. Unlike the pattern in the striatum, which remains stored even when a habit is broken, the IL cortex pattern appears and disappears as habits are formed and broken. This was the clue that the IL cortex, not the striatum, was tracking the development of the habit.


Multiple layers of control
 


The researchers’ ability to optogenetically block the formation of new habits suggests that the IL cortex not only exerts real-time control over habits and compulsions, but is also needed for habits to form in the first place.

“The previous idea was that the habits were stored in the sensorimotor system and this cortical area was just selecting the habit to be expressed. Now we think it’s a more fundamental contribution to habits, that the IL cortex is more actively making this happen,” Smith says.

This arrangement offers multiple layers of control over habitual behavior, which could be advantageous in reining in automatic behavior, Graybiel says. It is also possible that the IL cortex is contributing specific pieces of the habitual behavior, in addition to exerting control over whether it occurs, according to the researchers. They are now trying to determine whether the IL cortex and the striatum are communicating with and influencing each other, or simply acting in parallel.

The study suggests a new way to look for abnormal activity that might cause disorders of repetitive behavior, Smith says. Now that the researchers have identified the neural signature of a normal habit, they can look for signs of habitual behavior that is learned too quickly or becomes too rigid. Finding such a signature could allow scientists to develop new ways to treat disorders of repetitive behavior by using deep brain stimulation, which uses electronic impulses delivered by a pacemaker to suppress abnormal brain activity.

The research was funded by the National Institutes of Health, the Office of Naval Research, the Stanley H. and Sheila G. Sydney Fund and funding from R. Pourian and Julia Madadi.

Compulsive no more

By activating a brain circuit that controls compulsive behavior, McGovern neuroscientists have shown that they can block a compulsive behavior in mice — a result that could help researchers develop new treatments for diseases such as obsessive-compulsive disorder (OCD) and Tourette’s syndrome.

About 1 percent of U.S. adults suffer from OCD, and patients usually receive antianxiety drugs or antidepressants, behavioral therapy, or a combination of therapy and medication. For those who do not respond to those treatments, a new alternative is deep brain stimulation, which delivers electrical impulses via a pacemaker implanted in the brain.

For this study, the MIT team used optogenetics to control neuron activity with light. This technique is not yet ready for use in human patients, but studies such as this one could help researchers identify brain activity patterns that signal the onset of compulsive behavior, allowing them to more precisely time the delivery of deep brain stimulation.

“You don’t have to stimulate all the time. You can do it in a very nuanced way,” says Ann Graybiel, an Institute Professor at MIT, a member of MIT’s McGovern Institute for Brain Research and the senior author of a Science paper describing the study.

The paper’s lead author is Eric Burguière, a former postdoc in Graybiel’s lab who is now at the Brain and Spine Institute in Paris. Other authors are Patricia Monteiro, a research affiliate at the McGovern Institute, and Guoping Feng, the James W. and Patricia T. Poitras Professor of Brain and Cognitive Sciences and a member of the McGovern Institute.

Controlling compulsion

In earlier studies, Graybiel has focused on how to break normal habits; in the current work, she turned to a mouse model developed by Feng to try to block a compulsive behavior. The model mice lack a particular gene, known as Sapap3, that codes for a protein found in the synapses of neurons in the striatum — a part of the brain related to addiction and repetitive behavioral problems, as well as normal functions such as decision-making, planning and response to reward.

For this study, the researchers trained mice whose Sapap3 gene was knocked out to groom compulsively at a specific time, allowing the researchers to try to interrupt the compulsion. To do this, they used a Pavlovian conditioning strategy in which a neutral event (a tone) is paired with a stimulus that provokes the desired behavior — in this case, a drop of water on the mouse’s nose, which triggers the mouse to groom. This strategy was based on therapeutic work with OCD patients, which uses this kind of conditioning.

After several hundred trials, both normal and knockout mice became conditioned to groom upon hearing the tone, which always occurred just over a second before the water drop fell. However, after a certain point their behaviors diverged: The normal mice began waiting until just before the water drop fell to begin grooming. This type of behavior is known as optimization, because it prevents the mice from wasting unnecessary effort.

This behavior optimization never appeared in the knockout mice, which continued to groom as soon as they heard the tone, suggesting that their ability to suppress compulsive behavior was impaired.

The researchers suspected that failed communication between the striatum, which is related to habits, and the neocortex, the seat of higher functions that can override simpler behaviors, might be to blame for the mice’s compulsive behavior. To test this idea, they used optogenetics, which allows them to control cell activity with light by engineering cells to express light-sensitive proteins.

When the researchers stimulated light-sensitive cortical cells that send messages to the striatum at the same time that the tone went off, the knockout mice stopped their compulsive grooming almost totally, yet they could still groom when the water drop came. The researchers suggest that this cure resulted from signals sent from the cortical neurons to a very small group of inhibitory neurons in the striatum, which silence the activity of neighboring striatal cells and cut off the compulsive behavior.

“Through the activation of this pathway, we could elicit behavior inhibition, which appears to be dysfunctional in our animals,” Burguière says.

The researchers also tested the optogenetic intervention in mice as they groomed in their cages, with no conditioning cues. During three-minute periods of light stimulation, the knockout mice groomed much less than they did without the stimulation.

Scott Rauch, president and psychiatrist-in-chief of McLean Hospital in Belmont, Mass., says the MIT study “opens the door to a universe of new possibilities by identifying a cellular and circuitry target for future interventions.”

“This represents a major leap forward, both in terms of delineating the brain basis of pathological compulsive behavior and in offering potential avenues for new treatment approaches,” adds Rauch, who was not involved in this study.

Graybiel and Burguière are now seeking markers of brain activity that could reveal when a compulsive behavior is about to start, to help guide the further development of deep brain stimulation treatments for OCD patients.

The research was funded by the Simons Initiative on Autism and the Brain at MIT, the National Institute of Child Health and Human Development, the National Institute of Mental Health, and the Simons Foundation Autism Research Initiative.

Obama hosts Dresselhaus, Graybiel and Luu in Oval Office

President Barack Obama met Thursday, March 28, in the Oval Office with the six U.S. recipients of the 2012 Kavli Prizes — including MIT’s Mildred S. Dresselhaus, Ann M. Graybiel and Jane X. Luu. Obama and his science and technology advisor, John P. Holdren, received the scientists to recognize their landmark contributions in nanoscience, neuroscience and astrophysics, respectively. [watch video]

“American scientists, engineers and innovators strengthen our nation every day and in countless ways, but the all-stars honored by the Kavli Foundation deserve special praise for the scale of their advances in some of the most important and exciting research disciplines today,” said Holdren, who also serves as director of the White House Office of Science and Technology Policy. “I am grateful not only for their profound accomplishments, but for the inspiration they are providing to a new generation of doers, makers and discoverers.”

The researchers received their Kavli Prizes for making fundamental contributions to our understanding of the outer solar system; of the differences in material properties at nano- and larger scales; and of how the brain receives and responds to sensations such as sight, sound and touch.

The 2012 Kavli Prize in Astrophysics was awarded to Luu, David C. Jewitt of the University of California at Los Angeles, and Michael E. Brown of the California Institute of Technology for discovering and characterizing the Kuiper Belt and its largest members, work that led to a major advance in the understanding of the history of our planetary system. The Kuiper Belt lies beyond the orbit of Neptune and is a disk of more than 70,000 small bodies made of rock and ice, and orbiting the sun. Jewitt and Luu discovered the Kuiper Belt, and Brown discovered and characterized many of its largest members.

The 2012 Kavli Prize in Nanoscience was awarded to Dresselhaus for her work explaining why the properties of materials structured at the nanoscale can vary so much from those of the same materials at larger dimensions. Her early work provided the foundation for later discoveries concerning the famous C60 buckyball, carbon nanotubes and graphene. Dresselhaus received the Kavli Prize for her research into uniform oscillations of elastic arrangements of atoms or molecules called phonons; phonon-electron interactions; and heat conductivity in nanostructures.

The 2012 Kavli Prize in Neuroscience was awarded to Graybiel, Cornelia Isabella Bargmann of Rockefeller University, and Winfried Denk of the Max Planck Institute for Medical Research, who have pioneered the study of how sensory signals pass from the point of sensation — whether the eye, the foot or the nose — to the brain, and how decisions are made to respond. Each working on different parts of the brain, and using different techniques and models, they have combined precise neuroanatomy with sophisticated functional studies to gain understanding of their chosen systems.

Breaking down the Parkinson’s pathway

The key hallmark of Parkinson’s disease is a slowdown of movement caused by a cutoff in the supply of dopamine to the brain region responsible for coordinating movement. While scientists have understood this general process for many years, the exact details of how this happens are still murky.

“We know the neurotransmitter, we know roughly the pathways in the brain that are being affected, but when you come right down to it and ask what exactly is the sequence of events that occurs in the brain, that gets a little tougher,” says Ann Graybiel, an MIT Institute Professor and member of MIT’s McGovern Institute for Brain Research.

A new study from Graybiel’s lab offers insight into some of the precise impairments caused by the loss of dopamine in brain cells affected by Parkinson’s disease. The findings, which appear in the March 12 online edition of the Journal of Neuroscience, could help researchers not only better understand the disease, but also develop more targeted treatments.

Lead author of the paper is Ledia Hernandez, a former MIT postdoc. Other authors are McGovern Institute research scientists Yasuo Kubota and Dan Hu, former MIT graduate student Mark Howe and graduate student Nuné Lemaire.

Cutting off dopamine

The neurons responsible for coordinating movement are located in a part of the brain called the striatum, which receives information from two major sources — the neocortex and a tiny region known as the substantia nigra. The cortex relays sensory information as well as plans for future action, while the substantia nigra sends dopamine that helps to coordinate all of the cortical input.

“This dopamine somehow modulates the circuit interactions in such a way that we don’t move too much, we don’t move too little, we don’t move too fast or too slow, and we don’t get overly repetitive in the movements that we make. We’re just right,” Graybiel says.

Parkinson’s disease develops when the neurons connecting the substantia nigra to the striatum die, cutting off a critical dopamine source; in a process that is not entirely understood, too little dopamine translates to difficulty initiating movement. Most Parkinson’s patients receive L-dopa, which can substitute for the lost dopamine. However, the effects usually wear off after five to 10 years, and complications appear.

To study exactly how dopamine loss affects the striatum, the researchers disabled dopamine-releasing cells on one side of the striatum, in rats. This mimics what usually happens in the early stages of Parkinson’s disease, when dopamine input is cut off on only one side of the brain.

As the rats learned to run a T-shaped maze, the researchers recorded electrical activity in many individual neurons. The rats were rewarded for correctly choosing to run left or right as they approached the T, depending on the cue that they heard.

The researchers focused on two types of neurons: projection neurons, which send messages from the striatum to the neocortex to initiate or halt movement, and fast-spiking interneurons, which enable local communication within the striatum. Among the projection neurons, the researchers identified two subtypes — those that were active just before the rats began running, and those that were active during the run.

In the dopamine-depleted striatum, the researchers found, to their surprise, that the projection neurons still developed relatively normal activity patterns. However, they became even more active during the time when they were usually active (before or during the run). These hyper-drive effects were related to whether the rats had learned the maze task or not.

The interneurons, however, never developed the firing patterns seen in normal interneurons during learning, even after the rats had learned to run the maze. The local circuits were disabled.

Restoring neuron function

When the researchers then treated the rats with L-dopa, the drug restored normal activity in the projection neurons, but did not bring back normal activity in the interneurons. A possible reason for that is that those cells become disconnected by the loss of dopamine, so even when L-dopa is given, they can no longer shape the local circuits to respond to it.

This is the first study to show that the effects of dopamine loss depend not only on the type of neuron, but also on the phase of task behavior and how well the task has been learned, according to the researchers. To glean even more detail, Graybiel’s lab is now working on measuring dopamine levels in different parts of the brain as the dopamine-depleted rats learn new behaviors.

The lab is also seeking ways to restore function to the striatal interneurons that don’t respond to L-dopa treatment. The findings underscore the need for therapies that target specific deficiencies, says Joshua Goldberg, a senior lecturer in medical neurobiology at the Hebrew University of Jerusalem.

The new study “refines our appreciation of the complexity of [Parkinson’s],” says Goldberg, who was not part of the research team. “Graybiel’s team drives home the message that dopamine depletion, and dopamine replacement therapy, do not affect brain dynamics or behavior in a uniform fashion. Instead, their effect is highly context-dependent and differentially affects various populations of neurons.”

The research was funded by the National Institutes of Health/National Institute of Neurological Disorders and Stroke, the National Parkinson Foundation, the Stanley H. and Sheila G. Sydney Fund, a Parkinson’s Disease Foundation Fellowship and a Fulbright Fellowship.

Editing the genome with high precision

Researchers at MIT, the Broad Institute and Rockefeller University have developed a new technique for precisely altering the genomes of living cells by adding or deleting genes. The researchers say the technology could offer an easy-to-use, less-expensive way to engineer organisms that produce biofuels; to design animal models to study human disease; and to develop new therapies, among other potential applications.

To create their new genome-editing technique, the researchers modified a set of bacterial proteins that normally defend against viral invaders. Using this system, scientists can alter several genome sites simultaneously and can achieve much greater control over where new genes are inserted, says Feng Zhang, an assistant professor of brain and cognitive sciences at MIT and leader of the research team.

“Anything that requires engineering of an organism to put in new genes or to modify what’s in the genome will be able to benefit from this,” says Zhang, who is a core member of the Broad Institute and MIT’s McGovern Institute for Brain Research.

Zhang and his colleagues describe the new technique in the Jan. 3 online edition of Science. Lead authors of the paper are graduate students Le Cong and Ann Ran.

Early efforts

The first genetically altered mice were created in the 1980s by adding small pieces of DNA to mouse embryonic cells. This method is now widely used to create transgenic mice for the study of human disease, but, because it inserts DNA randomly in the genome, researchers can target the newly delivered genes to replace existing ones.

In recent years, scientists have sought more precise ways to edit the genome. One such method, known as homologous recombination, involves delivering a piece of DNA that includes the gene of interest flanked by sequences that match the genome region where the gene is to be inserted. However, this technique’s success rate is very low because the natural recombination process is rare in normal cells.

More recently, biologists discovered that they could improve the efficiency of this process by adding enzymes called nucleases, which can cut DNA. Zinc fingers are commonly used to deliver the nuclease to a specific location, but zinc finger arrays can target every possible sequence of DNA, limiting their usefulness. Furthermore, assembling the proteins is a labor-intensive and expensive process.

Complexes known as transcription activator-like effector nucleases (TALENs) can also cut the genome in specific locations, but these complexes can also be expensive and difficult to assemble.

Precise targeting

The new system is much more user-friendly, Zhang says. Making use of naturally occurring bacterial protein-RNA systems that recognize and snip viral DNA, the researchers can create DNA-editing complexes that include a nuclease called Cas9 bound to short RNA sequences. These sequences are designed to target specific locations in the genome; when they encounter a match, Cas9 cuts the DNA.

This approach can be used either to disrupt the function of a gene or to replace it with a new one. To replace the gene, the researchers must also add a DNA template for the new gene, which would be copied into the genome after the DNA is cut.

Each of the RNA segments can target a different sequence. “That’s the beauty of this. You can easily program a nuclease to target one or more positions in the genome,” Zhang says.

The method is also very precise — if there is a single base-pair difference between the RNA targeting sequence and the genome sequence, Cas9 is not activated. This is not the case for zinc fingers or TALENs. The new system also appears to be more efficient than TALEN, and much less expensive.

The new system “is a significant advancement in the field of genome editing and, in its first iteration, already appears comparable in efficiency to what zinc finger nucleases and TALENs have to offer,” says Aron Geurts, an associate professor of physiology at the Medical College of Wisconsin. “Deciphering the ever-increasing data emerging on genetic variation as it relates to human health and disease will require this type of scalable and precise genome editing in model systems.”

The research team has deposited the necessary genetic components with a nonprofit called Addgene, making the components widely available to other researchers who want to use the system. The researchers have also created a website with tips and tools for using this new technique.

Engineering new therapies

Among other possible applications, this system could be used to design new therapies for diseases such as Huntington’s disease, which appears to be caused by a single abnormal gene. Clinical trials that use zinc finger nucleases to disable genes are now under way, and the new technology could offer a more efficient alternative.

The system might also be useful for treating HIV by removing patients’ lymphocytes and mutating the CCR5 receptor, through which the virus enters cells. After being put back in the patient, such cells would resist infection.

This approach could also make it easier to study human disease by inducing specific mutations in human stem cells. “Using this genome editing system, you can very systematically put in individual mutations and differentiate the stem cells into neurons or cardiomyocytes and see how the mutations alter the biology of the cells,” Zhang says.

In the Science study, the researchers tested the system in cells grown in the lab, but they plan to apply the new technology to study brain function and diseases.

The research was funded by the National Institute of Mental Health; the W.M. Keck Foundation; the McKnight Foundation; the Bill & Melinda Gates Foundation; the Damon Runyon Cancer Research Foundation; the Searle Scholars Program; and philanthropic support from MIT alumni Mike Boylan and Bob Metcalfe, as well as the newscaster Jane Pauley.

Precisely engineering 3-D brain tissues

Borrowing from microfabrication techniques used in the semiconductor industry, MIT and Harvard Medical School (HMS) engineers have developed a simple and inexpensive way to create three-dimensional brain tissues in a lab dish.

The new technique yields tissue constructs that closely mimic the cellular composition of those in the living brain, allowing scientists to study how neurons form connections and to predict how cells from individual patients might respond to different drugs. The work also paves the way for developing bioengineered implants to replace damaged tissue for organ systems, according to the researchers.

“We think that by bringing this kind of control and manipulation into neurobiology, we can investigate many different directions,” says Utkan Demirci, an assistant professor in the Harvard-MIT Division of Health Sciences and Technology (HST).

Demirci and Ed Boyden, associate professor of biological engineering and brain and cognitive sciences at MIT’s Media Lab and McGovern Institute,  are senior authors of a paper describing the new technique, which appears in the Nov. 27 online edition of the journal Advanced Materials. The paper’s lead author is Umut Gurkan, a postdoc at HST, Harvard Medical School and Brigham and Women’s Hospital.

‘Unique challenges’

Although researchers have had some success growing artificial tissues such as liver or kidney, “the brain presents some unique challenges,” Boyden says. “One of the challenges is the incredible spatial heterogeneity. There are so many kinds of cells, and they have such intricate wiring.”

Brain tissue includes many types of neurons, including inhibitory and excitatory neurons, as well as supportive cells such as glial cells. All of these cells occur at specific ratios and in specific locations.

To mimic this architectural complexity in their engineered tissues, the researchers embedded a mixture of brain cells taken from the primary cortex of rats into sheets of hydrogel. They also included components of the extracellular matrix, which provides structural support and helps regulate cell behavior.

Those sheets were then stacked in layers, which can be sealed together using light to crosslink hydrogels. By covering layers of gels with plastic photomasks of varying shapes, the researchers could control how much of the gel was exposed to light, thus controlling the 3-D shape of the multilayer tissue construct.

This type of photolithography is also used to build integrated circuits onto semiconductors — a process that requires a photomask aligner machine, which costs tens of thousands of dollars. However, the team developed a much less expensive way to assemble tissues using masks made from sheets of plastic, similar to overhead transparencies, held in place with alignment pins.

The tissue cubes can be made with a precision of 10 microns, comparable to the size of a single cell body. At the other end of the spectrum, the researchers are aiming to create a cubic millimeter of brain tissue with 100,000 cells and 900 million connections.

The new system is the first that includes all of the necessary features for building useful 3-D tissues: It is inexpensive, precise, and allows complex patterns to be generated, says Metin Sitti, a professor of mechanical engineering at Carnegie Mellon University. “Many people could easily use this method for creating heterogeneous, complex gel structures,” says Sitti, who was not part of the research team.

Answering fundamental questions

Because the tissues include a diverse repertoire of brain cells, occurring in the same ratios as they do in natural brain tissue, they could be used to study how neurons form the connections that allow them to communicate with each other.

“In the short term, there’s a lot of fundamental questions you can answer about how cells interact with each other and respond to environmental cues,” Boyden says.

As a first step, the researchers used these tissue constructs to study how a neuron’s environment might constrain its growth. To do this, they placed single neurons in gel cubes of different sizes, then measured the cells’ neurites, long extensions that neurons use to communicate with other cells. It turns out that under these conditions, neurons get “claustrophobic,” Demirci says. “In small gels, they don’t necessarily send out as long neurites as they would in a five-times-larger gel.”

In the long term, the researchers hope to gain a better understanding of how to design tissue implants that could be used to replace damaged tissue in patients. Much research has been done in this area, but it has been difficult to figure out whether the new tissues are correctly wiring up with existing tissue and exchanging the right kinds of information.

Another long-term goal is using the tissues for personalized medicine. One day, doctors may be able to take cells from a patient with a neurological disorder and transform them into induced pluripotent stem cells, then induce these constructs to grow into neurons in a lab dish. By exposing these tissues to many possible drugs, “you might be able to figure out if a drug would benefit that person without having to spend years giving them lots of different drugs,” Boyden says.

Other authors of the paper are Yantao Fan, a visiting graduate student at HMS and HST; Feng Xu and Emel Sokullu Urkac, postdocs at HMS and HST; Gunes Parlakgul, a visiting medical student at HMS and HST; MIT graduate students Jacob Bernstein and Burcu Erkmen; and Wangli Xing, a professor at Tsinghua University.

The research was funded by the National Science Foundation, the Paul Allen Family Foundation, the New York Stem Cell Foundation, the National Institutes of Health, the Institute of Engineering and Technology A.F. Harvey Prize, and MIT Lincoln Laboratory.

How the brain controls our habits

Habits are behaviors wired so deeply in our brains that we perform them automatically. This allows you to follow the same route to work every day without thinking about it, liberating your brain to ponder other things, such as what to make for dinner.

However, the brain’s executive command center does not completely relinquish control of habitual behavior. A new study from MIT neuroscientists has found that a small region of the brain’s prefrontal cortex, where most thought and planning occurs, is responsible for moment-by-moment control of which habits are switched on at a given time.

“We’ve always thought – and I still do – that the value of a habit is you don’t have to think about it. It frees up your brain to do other things,” says Institute Professor Ann Graybiel, a member of the McGovern Institute for Brain Research at MIT. “However, it doesn’t free up all of it. There’s some piece of your cortex that are still devoted to that control.”

The new study offers hope for those trying to kick bad habits, says Graybiel, senior author of the new study, which appears this week in the Proceedings of the National Academy of Sciences. It shows that though habits may be deeply ingrained, the brain’s planning centers can shut them off. It also raises the possibility of intervening in that brain region to treat people who suffer from disorders involving overly habitual behavior, such as obsessive-compulsive disorder.

Lead author of the paper is Kyle Smith, a McGovern Institute research scientist. Other authors are recent MIT graduate Arti Virkud and Karl Deisseroth, a professor of psychiatry and behavioral sciences at Stanford University.

Old habits die hard

Habits often become so ingrained that we keep doing them even though we’re no longer benefiting from them. The MIT team experimentally simulated this situation with rats trained to run a T-shaped maze. As the rats approached the decision point, they heard a tone indicating whether they should turn left or right. When they chose correctly, they received a reward – chocolate milk (for turning left) or sugar water (for turning right).

To show that the behavior was habitual, the researchers eventually stopped giving the trained rats any rewards, and found that they continued running the maze correctly. The researchers then went a step further, offering the rats chocolate milk in their cages but mixing it with lithium chloride, which causes light nausea. The rats still continued to run left when cued to do so, although they stopped drinking the chocolate milk.

Once they had shown that the habit was fully ingrained, the researchers wanted to see if they could break it by interfering with a part of the prefrontal cortex known as the infralimbic (IL) cortex. Although the neural pathways that encode habitual behavior appear to be located in deep brain structures known as the basal ganglia, it has been shown that the IL cortex is also necessary for such behaviors to develop.

Using optogenetics, a technique that allows researchers to inhibit specific cells with light, the researchers turned off IL cortex activity for several seconds as the rats approached the point in the maze where they had to decide which way to turn.

Almost instantly, the rats dropped the habit of running to the left (the side with the now-distasteful reward). This suggests that turning off the IL cortex switches the rats’ brains from an “automatic, reflexive mode to a mode that’s more cognitive or engaged in the goal of processing what exactly it is that they’re running for,” Smith says.

Once broken of the habit of running left, the rats soon formed a new habit, running to the right side every time, even when cued to run left. The researchers showed that they could break this new habit by once again inhibiting the IL cortex with light. To their surprise, they found that these rats immediately regained their original habit of running left when cued to do so.

“This habit was never really forgotten,” Smith says. “It’s lurking there somewhere, and we’ve unmasked it by turning off the new one that had been overwritten.”

Online control

The findings suggest that the IL cortex is responsible for determining, moment-by-moment, which habitual behaviors will be expressed. “To us, what’s really stunning is that habit representation still must be totally intact and retrievable in an instant, and there’s an online monitoring system controlling that,” Graybiel says.

The study also raises interesting ideas concerning how automatic habitual behaviors really are, says Jane Taylor, a professor of psychiatry and psychology at Yale University. “We’ve always thought of habits as being inflexible, but this suggests you can have flexible habits, in some sense,” says Taylor, who was not part of the research team.

It also appears that the IL cortex favors new habits over old ones, consistent with previous studies showing that when habits are broken they are not forgotten, but replaced with new ones.

Although it would be too invasive to use optogenetic interventions to break habits in humans, Graybiel says it is possible the technology will evolve to the point where it might be a feasible option for treating disorders involving overly repetitive or addictive behavior.

In follow-up studies, the researchers are trying to pinpoint exactly when during a maze run the IL cortex selects the appropriate habit. They are also planning to specifically inhibit different cell types within the IL cortex, to see which ones are most involved in habit control.

The research was funded by the National Institutes of Health, the Stanley H. and Sheila G. Sydney Fund, R. Pourian and Julia Madadi, the Defense Advanced Research Projects Agency, and the Gatsby Foundation.

Calcium reveals connections between neurons

A team led by MIT neuroscientists has developed a way to monitor how brain cells coordinate with each other to control specific behaviors, such as initiating movement or detecting an odor.

The researchers’ new imaging technique, based on the detection of calcium ions in neurons, could help them map the brain circuits that perform such functions. It could also provide new insights into the origins of autism, obsessive-compulsive disorder and other psychiatric diseases, says Guoping Feng, senior author of a paper appearing in the Oct. 18 issue of the journal Neuron.

“To understand psychiatric disorders we need to study animal models, and to find out what’s happening in the brain when the animal is behaving abnormally,” says Feng, the James W. and Patricia Poitras Professor of Neuroscience and a member of the McGovern Institute for Brain Research at MIT. “This is a very powerful tool that will really help us understand animal models of these diseases and study how the brain functions normally and in a diseased state.”

The lead author of the Neuron paper is McGovern Institute postdoc Qian Chen.

Performing any kind of brain function requires many neurons in different parts of the brain to communicate with each other. They achieve this communication by sending electrical signals, triggering an influx of calcium ions into active cells. Using dyes that bind to calcium, researchers have imaged neural activity in neurons. However, the brain contains thousands of cell types, each with distinct functions, and the dye is taken up nonselectively by all cells, making it impossible to pinpoint calcium in specific cell types with this approach.

To overcome this, the MIT-led team created a calcium-imaging system that can be targeted to specific cell types, using a type of green fluorescent protein (GFP). Junichi Nakai of Saitama University in Japan first developed a GFP that is activated when it binds to calcium, and one of the Neuron paper authors, Loren Looger of the Howard Hughes Medical Institute, modified the protein so its signal is strong enough to use in living animals.

The MIT researchers then genetically engineered mice to express this protein in a type of neuron known as pyramidal cells, by pairing the gene with a regulatory DNA sequence that is only active in those cells. Using two-photon microscopy to image the cells at high speed and high resolution, the researchers can identify pyramidal cells that are active when the brain is performing a specific task or responding to a certain stimulus.

In this study, the team was able to pinpoint cells in the somatosensory cortex that are activated when a mouse’s whiskers are touched, and olfactory cells that respond to certain aromas.

This system could be used to study brain activity during many types of behavior, including long-term phenomena such as learning, says Matt Wachowiak, an associate professor of physiology at the University of Utah. “These mouse lines should be really useful to many different research groups who want to measure activity in different parts of the brain,” says Wachowiak, who was not involved in this research.

The researchers are now developing mice that express the calcium-sensitive proteins and also exhibit symptoms of autistic behavior and obsessive-compulsive disorder. Using these mice, the researchers plan to look for neuron firing patterns that differ from those of normal mice. This could help identify exactly what goes wrong at the cellular level, offering mechanistic insights into those diseases.

“Right now, we only know that defects in neuron-neuron communications play a key role in psychiatric disorders. We do not know the exact nature of the defects and the specific cell types involved,” Feng says. “If we knew what cell types are abnormal, we could find ways to correct abnormal firing patterns.”

The researchers also plan to combine their imaging technology with optogenetics, which enables them to use light to turn specific classes of neurons on or off. By activating specific cells and then observing the response in target cells, they will be able to precisely map brain circuits.

The research was funded by the Poitras Center for Affective Disorders Research, the National Institutes of Health and the McNair Foundation