Research Area: Cell Biology

She’s fighting to stop the brain disease that killed her mother before it gets her

Jonathan Weissman is the senior author on a recent study on silencing a prion protein's expression. Prions cause devastating neurodegenerative disorders such as dementia, Huntington's, Parkinson's, and Lou Gehrig's disease. Silencing genes represents a step towards a therapeutic model for treating these diseases in humans.

Karen Weintraub | USA TODAY
June 27, 2024

CAMBRIDGE, Mass. ‒ Sonia Vallabh watched helplessly as her 51-year-old mother rapidly descended into dementia and died. It didn’t take long for Vallabh to realize she was destined for the same rare genetic fate.

Vallabh and her husband did what anyone would want to do in their situation: They decided to fight.

Armed with little more than incredible intellect and determination they set out to conquer her destiny.

A dozen years later, they’ve taken a major step in that direction, finding a way to shut off enough genetic signals to hold off the disease.

And in the process of trying to rescue Vallabh, they may save many, many others as well.

In a paper published Thursday in the prestigious journal Science, Vallabh and her husband, Eric Minikel, and their co-authors offer a way to disrupt brain diseases like the one that killed her mother.

The same approach should also work against diseases such as Huntington’s, Parkinson’s, Lou Gehrig’s disease and even Alzheimer’s, which result from the accumulation of toxic proteins. If it works as well as they think, it could also be useful against a vast array of other diseases that can be treated by shutting off genes.

“It doesn’t have to be the brain. It could be the muscles. It could be the kidneys. It could be really anywhere in the body where we have not easily been able to do these things before,” said Dr. Kiran Musunuru, a cardiologist and geneticist at the University of Pennsylvania’s Perelman School of Medicine, who wasn’t involved in the research but wrote a perspective accompanying the paper.

So far, they’ve proven it only in mice.

“The data are good as far as they go,” Vallabh said this week from her office at the Broad Institute of Harvard and the Massachusetts Institute of Technology, where she has worked since getting a Ph.D. at Harvard. She had already gotten a law degree from the university, but she and Minikel, then a transportation planner, both pursued biology degrees after her mother’s death. Now, they work together at the Broad.

“We’re far from this being a drug,” Vallabh said. “There’s always, always reason for caution. Sadly, everything is always more likely to fail than succeed.

“But there is justifiable reason for optimism.”

A terrible disease

The disease that killed Vallabh’s mother was one of a group of conditions called prion diseases. These include mad cow disease, which affects mostly cattle, scrapie, which affects sheep, and Creutzfeldt-Jakob disease, which kills about 350 Americans a year ‒ most within months of their first symptom.

These diseases are triggered when the prion protein found in all normal brains starts misfolding for some reason, as yet unknown.

“Prion disease can strike anybody,” Vallabh said, noting the 1 in 6,000 risk to the general population.

Though prion diseases are, in some cases, contagious, a federal study earlier this year concluded that chronic wasting disease, found in deer, elk and moose, is very unlikely to pass to people who eat the meat of sick animals.

In Vallabh’s case, the cause is genetic. Vallabh discovered after her mother’s death that she carries the same variant of the same gene that caused her mother’s disease, meaning she will certainly develop it.

The only question is when.

“The age of onset is extremely unpredictable,” Vallabh said. “Your parent’s age of onset doesn’t actually predict anything.”

How the gene-editing tool works

Vallabh and Minikel approached colleagues at the Whitehead Institute a biomedical research institute next to the Broad. They asked to collaborate on a new gene-editing approach to turn off Vallabh’s disease gene. The technique developed by Whitehead scientists is called CHARM (for Coupled Histone tail Autoinhibition Release of Methyltransferase).

While previous gene-editing tools have been described as scissors or erasers, Musunuru described CHARM as volume control, allowing scientists to tune a gene up or down. It has three advantages over previous strategies, he said.

The device is tiny, so it fits easily inside the virus needed to deliver it. Other gene-editing tools, like CRISPR, are bigger, which means they need to be broken into pieces and much more of the virus is needed to deliver those pieces to the brain, risking a dangerous immune reaction.

CHARM, Musunuru said, is “easier to deliver to hard-to-deliver spaces like the brain.”

At least in the mouse, it also seems to have reached throughout the brain, making the desired genetic change without other, unwanted ones, Musunuru said.

And finally, the research team figured out a way to turn the gene editor off after its work was done. “If it’s sticking around, there’s the potential for genetic mischief,” Musunuru said.

One shot on goal

While researchers, including Vallabh, continue to work to perfect an approach, the clock for Vallabh and others is ticking.

Right now there’s no viable treatment and if it takes too long to develop one, Vallabh will miss her window. Once the disease process starts, like a runaway train, it’ll be much harder to stop than it would be to just shut the gene off in the first place.

The more prion protein in the brain, the more likely it is to misfold. And the more likely it is for the disease to spread, a process that co-opts the natural form of the protein and converts it to the toxic form.

That’s why getting rid of as much of it as possible makes sense, said Jonathan Weissman, the senior author of the study, who leads a Whitehead lab.

“The biology is really clear. The need (for a cure) is so compelling,” Weissman said.

Every cell in the brain has the gene for making the prion protein. By silencing even 50% of those genes, Weissman figures he can prevent the disease. In mice, CHARM silenced up to 80% to 90%.

“We’ve figured out what to deliver. Now we have to figure out how to deliver it,” he said.

Another of the paper’s co-authors, the Broad’s Ben Deverman, published a study late last year showing he could deliver a gene-therapy-carrying virus throughout the brain. Others are developing other viral delivery systems.

Vallabh and Minikel have hedged their bets, helping to develop a so-called antisense oligonucleotide, or ASO, which uses another path for stopping the gene from making the prion protein.

The ASO, which is in early trials in people by a company called Ionis Pharmaceuticals, requires regular treatment rather than the one-and-done of gene therapy. Recruitment for that trial had to be paused in April because the number of would-be volunteers outstripped the available slots.

Vallabh isn’t ready yet to start any treatment yet herself.

“She has one shot on goal,” Musunuru said. “At some point, she’ll have to decide what’s the best strategy.”

In the meantime, the clock Vallabh can’t see continues to tick toward the onset.

She and Minikel stay exceedingly busy with their research along with their daughter, almost 7, and 4-year-old son ‒ both born via IVF and preimplantation genetic testing to ensure they wouldn’t inherit her genetic curse. (They were super lucky, Vallabh notes, to be living in Massachusetts where IVF is at least “approachable” financially.)

“There is a mountain ahead of us,” Vallabh said of the path to a cure. “There’s still a lot of hurdles, there’s still a lot to figure out.”

CHARMed collaboration creates a potent therapy candidate for fatal prion diseases

A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.

Greta Friar | Whitehead Institute
June 27, 2024

Drug development is typically slow: The pipeline from basic research discoveries that provide the basis for a new drug to clinical trials and then production of a widely available medicine can take decades. But decades can feel impossibly far off to someone who currently has a fatal disease. Broad Institute of MIT and Harvard Senior Group Leader Sonia Vallabh is acutely aware of that race against time, because the topic of her research is a neurodegenerative and ultimately fatal disease — fatal familial insomnia, a type of prion disease — that she will almost certainly develop as she ages.

Vallabh and her husband, Eric Minikel, switched careers and became researchers after they learned that Vallabh carries a disease-causing version of the prion protein gene and that there is no effective therapy for fatal prion diseases. The two now run a lab at the Broad Institute, where they are working to develop drugs that can prevent and treat these diseases, and their deadline for success is not based on grant cycles or academic expectations but on the ticking time bomb in Vallabh’s genetic code.

That is why Vallabh was excited to discover, when she entered into a collaboration with Whitehead Institute for Biomedical Research member Jonathan Weissman, that Weissman’s group likes to work at full throttle. In less than two years, Weissman, Vallabh, and their collaborators have developed a set of molecular tools called CHARMs that can turn off disease-causing genes such as the prion protein gene — as well as, potentially, genes coding for many other proteins implicated in neurodegenerative and other diseases — and they are refining those tools to be good candidates for use in human patients. Although the tools still have many hurdles to pass before the researchers will know if they work as therapeutics, the team is encouraged by the speed with which they have developed the technology thus far.

“The spirit of the collaboration since the beginning has been that there was no waiting on formality,” Vallabh says. “As soon as we realized our mutual excitement to do this, everything was off to the races.”

Co-corresponding authors Weissman and Vallabh and co-first authors Edwin Neumann, a graduate student in Weissman’s lab, and Tessa Bertozzi, a postdoc in Weissman’s lab, describe CHARM — which stands for Coupled Histone tail for Autoinhibition Release of Methyltransferase — in a paper published today in the journal Science.

“With the Whitehead and Broad Institutes right next door to each other, I don’t think there’s any better place than this for a group of motivated people to move quickly and flexibly in the pursuit of academic science and medical technology,” says Weissman, who is also a professor of biology at MIT and a Howard Hughes Medical Institute Investigator. “CHARMs are an elegant solution to the problem of silencing disease genes, and they have the potential to have an important position in the future of genetic medicines.”

To treat a genetic disease, target the gene

Prion disease, which leads to swift neurodegeneration and death, is caused by the presence of misshapen versions of the prion protein. These cause a cascade effect in the brain: the faulty prion proteins deform other proteins, and together these proteins not only stop functioning properly but also form toxic aggregates that kill neurons. The most famous type of prion disease, known colloquially as mad cow disease, is infectious, but other forms of prion disease can occur spontaneously or be caused by faulty prion protein genes.

Most conventional drugs work by targeting a protein. CHARMs, however, work further upstream, turning off the gene that codes for the faulty protein so that the protein never gets made in the first place. CHARMs do this by epigenetic editing, in which a chemical tag gets added to DNA in order to turn off or silence a target gene. Unlike gene editing, epigenetic editing does not modify the underlying DNA — the gene itself remains intact. However, like gene editing, epigenetic editing is stable, meaning that a gene switched off by CHARM should remain off. This would mean patients would only have to take CHARM once, as opposed to protein-targeting medications that must be taken regularly as the cells’ protein levels replenish.

Research in animals suggests that the prion protein isn’t necessary in a healthy adult, and that in cases of disease, removing the protein improves or even eliminates disease symptoms. In a person who hasn’t yet developed symptoms, removing the protein should prevent disease altogether. In other words, epigenetic editing could be an effective approach for treating genetic diseases such as inherited prion diseases. The challenge is creating a new type of therapy.

Fortunately, the team had a good template for CHARM: a research tool called CRISPRoff that Weissman’s group previously developed for silencing genes. CRISPRoff uses building blocks from CRISPR gene editing technology, including the guide protein Cas9 that directs the tool to the target gene. CRISPRoff silences the targeted gene by adding methyl groups, chemical tags that prevent the gene from being transcribed, or read into RNA, and so from being expressed as protein. When the researchers tested CRISPRoff’s ability to silence the prion protein gene, they found that it was effective and stable.

Several of its properties, though, prevented CRISPRoff from being a good candidate for a therapy. The researchers’ goal was to create a tool based on CRISPRoff that was just as potent but also safe for use in humans, small enough to deliver to the brain, and designed to minimize the risk of silencing the wrong genes or causing side effects.

From research tool to drug candidate

Led by Neumann and Bertozzi, the researchers began engineering and applying their new epigenome editor. The first problem that they had to tackle was size, because the editor needs to be small enough to be packaged and delivered to specific cells in the body. Delivering genes into the human brain is challenging; many clinical trials have used adeno-associated viruses (AAVs) as gene-delivery vehicles, but these are small and can only contain a small amount of genetic code. CRISPRoff is way too big; the code for Cas9 alone takes up most of the available space.

The Weissman lab researchers decided to replace Cas9 with a much smaller zinc finger protein (ZFP). Like Cas9, ZFPs can serve as guide proteins to direct the tool to a target site in DNA. ZFPs are also common in human cells, meaning they are less likely to trigger an immune response against themselves than the bacterial Cas9.

Next, the researchers had to design the part of the tool that would silence the prion protein gene. At first, they used part of a methyltransferase, a molecule that adds methyl groups to DNA, called DNMT3A. However, in the particular configuration needed for the tool, the molecule was toxic to the cell. The researchers focused on a different solution: Instead of delivering outside DNMT3A as part of the therapy, the tool is able to recruit the cell’s own DNMT3A to the prion protein gene. This freed up precious space inside of the AAV vector and prevented toxicity.

The researchers also needed to activate DNMT3A. In the cell, DNMT3A is usually inactive until it interacts with certain partner molecules. This default inactivity prevents accidental methylation of genes that need to remain turned on. Neumann came up with an ingenious way around this by combining sections of DNMT3A’s partner molecules and connecting these to ZFPs that bring them to the prion protein gene. When the cell’s DNMT3A comes across this combination of parts, it activates, silencing the gene.

“From the perspectives of both toxicity and size, it made sense to recruit the machinery that the cell already has; it was a much simpler, more elegant solution,” Neumann says. “Cells are already using methyltransferases all of the time, and we’re essentially just tricking them into turning off a gene that they would normally leave turned on.”

Testing in mice showed that ZFP-guided CHARMs could eliminate more than 80 percent of the prion protein in the brain, while previous research has shown that as little as 21 percent elimination can improve symptoms.

Once the researchers knew that they had a potent gene silencer, they turned to the problem of off-target effects. The genetic code for a CHARM that gets delivered to a cell will keep producing copies of the CHARM indefinitely. However, after the prion protein gene is switched off, there is no benefit to this, only more time for side effects to develop, so they tweaked the tool so that after it turns off the prion protein gene, it then turns itself off.

Meanwhile, a complementary project from Broad Institute scientist and collaborator Benjamin Deverman’s lab, focused on brain-wide gene delivery and published in Science on May 17, has brought the CHARM technology one step closer to being ready for clinical trials. Although naturally occurring types of AAV have been used for gene therapy in humans before, they do not enter the adult brain efficiently, making it impossible to treat a whole-brain disease like prion disease. Tackling the delivery problem, Deverman’s group has designed an AAV vector that can get into the brain more efficiently by leveraging a pathway that naturally shuttles iron into the brain. Engineered vectors like this one make a therapy like CHARM one step closer to reality.

Thanks to these creative solutions, the researchers now have a highly effective epigenetic editor that is small enough to deliver to the brain, and that appears in cell culture and animal testing to have low toxicity and limited off-target effects.

“It’s been a privilege to be part of this; it’s pretty rare to go from basic research to therapeutic application in such a short amount of time,” Bertozzi says. “I think the key was forming a collaboration that took advantage of the Weissman lab’s tool-building experience, the Vallabh and Minikel lab’s deep knowledge of the disease, and the Deverman lab’s expertise in gene delivery.”

Looking ahead

With the major elements of the CHARM technology solved, the team is now fine-tuning their tool to make it more effective, safer, and easier to produce at scale, as will be necessary for clinical trials. They have already made the tool modular, so that its various pieces can be swapped out and future CHARMs won’t have to be programmed from scratch. CHARMs are also currently being tested as therapeutics in mice.

The path from basic research to clinical trials is a long and winding one, and the researchers know that CHARMs still have a way to go before they might become a viable medical option for people with prion diseases, including Vallabh, or other diseases with similar genetic components. However, with a strong therapy design and promising laboratory results in hand, the researchers have good reason to be hopeful. They continue to work at full throttle, intent on developing their technology so that it can save patients’ lives not someday, but as soon as possible.

New technique reveals how gene transcription is coordinated in cells

By capturing short-lived RNA molecules, scientists can map relationships between genes and the regulatory elements that control them.

Anne Trafton | MIT News
June 5, 2024

The human genome contains about 23,000 genes, but only a fraction of those genes are turned on inside a cell at any given time. The complex network of regulatory elements that controls gene expression includes regions of the genome called enhancers, which are often located far from the genes that they regulate.

This distance can make it difficult to map the complex interactions between genes and enhancers. To overcome that, MIT researchers have invented a new technique that allows them to observe the timing of gene and enhancer activation in a cell. When a gene is turned on around the same time as a particular enhancer, it strongly suggests the enhancer is controlling that gene.

Learning more about which enhancers control which genes, in different types of cells, could help researchers identify potential drug targets for genetic disorders. Genomic studies have identified mutations in many non-protein-coding regions that are linked to a variety of diseases. Could these be unknown enhancers?

“When people start using genetic technology to identify regions of chromosomes that have disease information, most of those sites don’t correspond to genes. We suspect they correspond to these enhancers, which can be quite distant from a promoter, so it’s very important to be able to identify these enhancers,” says Phillip Sharp, an MIT Institute Professor Emeritus and member of MIT’s Koch Institute for Integrative Cancer Research.

Sharp is the senior author of the new study, which appears today in Nature. MIT Research Assistant D.B. Jay Mahat is the lead author of the paper.

Hunting for eRNA

Less than 2 percent of the human genome consists of protein-coding genes. The rest of the genome includes many elements that control when and how those genes are expressed. Enhancers, which are thought to turn genes on by coming into physical contact with gene promoter regions through transiently forming a complex, were discovered about 45 years ago.

More recently, in 2010, researchers discovered that these enhancers are transcribed into RNA molecules, known as enhancer RNA or eRNA. Scientists suspect that this transcription occurs when the enhancers are actively interacting with their target genes. This raised the possibility that measuring eRNA transcription levels could help researchers determine when an enhancer is active, as well as which genes it’s targeting.

“That information is extraordinarily important in understanding how development occurs, and in understanding how cancers change their regulatory programs and activate processes that lead to de-differentiation and metastatic growth,” Mahat says.

However, this kind of mapping has proven difficult to perform because eRNA is produced in very small quantities and does not last long in the cell. Additionally, eRNA lacks a modification known as a poly-A tail, which is the “hook” that most techniques use to pull RNA out of a cell.

One way to capture eRNA is to add a nucleotide to cells that halts transcription when incorporated into RNA. These nucleotides also contain a tag called biotin that can be used to fish the RNA out of a cell. However, this current technique only works on large pools of cells and doesn’t give information about individual cells.

While brainstorming ideas for new ways to capture eRNA, Mahat and Sharp considered using click chemistry, a technique that can be used to join two molecules together if they are each tagged with “click handles” that can react together.

The researchers designed nucleotides labeled with one click handle, and once these nucleotides are incorporated into growing eRNA strands, the strands can be fished out with a tag containing the complementary handle. This allowed the researchers to capture eRNA and then purify, amplify, and sequence it. Some RNA is lost at each step, but Mahat estimates that they can successfully pull out about 10 percent of the eRNA from a given cell.

Using this technique, the researchers obtained a snapshot of the enhancers and genes that are being actively transcribed at a given time in a cell.

“You want to be able to determine, in every cell, the activation of transcription from regulatory elements and from their corresponding gene. And this has to be done in a single cell because that’s where you can detect synchrony or asynchrony between regulatory elements and genes,” Mahat says.

Timing of gene expression

Demonstrating their technique in mouse embryonic stem cells, the researchers found that they could calculate approximately when a particular region starts to be transcribed, based on the length of the RNA strand and the speed of the polymerase (the enzyme responsible for transcription) — that is, how far the polymerase transcribes per second. This allowed them to determine which genes and enhancers were being transcribed around the same time.

The researchers used this approach to determine the timing of the expression of cell cycle genes in more detail than has previously been possible. They were also able to confirm several sets of known gene-enhancer pairs and generated a list of about 50,000 possible enhancer-gene pairs that they can now try to verify.

Learning which enhancers control which genes would prove valuable in developing new treatments for diseases with a genetic basis. Last year, the U.S. Food and Drug Administration approved the first gene therapy treatment for sickle cell anemia, which works by interfering with an enhancer that results in activation of a fetal globin gene, reducing the production of sickled blood cells.

The MIT team is now applying this approach to other types of cells, with a focus on autoimmune diseases. Working with researchers at Boston Children’s Hospital, they are exploring immune cell mutations that have been linked to lupus, many of which are found in non-coding regions of the genome.

“It’s not clear which genes are affected by these mutations, so we are beginning to tease apart the genes these putative enhancers might be regulating, and in what cell types these enhancers are active,” Mahat says. “This is a tool for creating gene-to-enhancer maps, which are fundamental in understanding the biology, and also a foundation for understanding disease.”

The findings of this study also offer evidence for a theory that Sharp has recently developed, along with MIT professors Richard Young and Arup Chakraborty, that gene transcription is controlled by membraneless droplets known as condensates. These condensates are made of large clusters of enzymes and RNA, which Sharp suggests may include eRNA produced at enhancer sites.

“We picture that the communication between an enhancer and a promoter is a condensate-type, transient structure, and RNA is part of that. This is an important piece of work in building the understanding of how RNAs from enhancers could be active,” he says.

The research was funded by the National Cancer Institute, the National Institutes of Health, and the Emerald Foundation Postdoctoral Transition Award.

Microscope system sharpens scientists’ view of neural circuit connections

To study plasticity in the brain, neuroscientists seek to track it at high resolution across whole cells, which is challenging in part because brain tissue is notorious for scattering light and making images fuzzy. A newly described technology described in a paper in Scientific Reports improves the clarity and speed of using two-photon microscopy to image synapses in the live brain. The paper was co-authored by Elly Nedivi, the William R. (1964) and Linda R. Young Professor of Neuroscience in the Picower Institute for Learning and Memory and the Department of Biology.

David Orenstein | The Picower Institute for Learning and Memory
June 4, 2024
Taking RNAi from interesting science to impactful new treatments

Alnylam Pharmaceuticals is translating the promise of RNA interference (RNAi) research into a new class of powerful, gene-based therapies. These days Alnylam is not the only company developing RNAi-based medicines, but it is still a pioneer in the field. The company’s founders — MIT Institute Professor Phil Sharp, Professor David Bartel, Professor Emeritus Paul Schimmel, and former MIT postdocs Thomas Tuschl and Phillip Zamore — see Alnylam as a champion for the field more broadly.

Zach Winn | MIT News
May 13, 2024

There are many hurdles to clear before a research discovery becomes a life-changing treatment for patients. That’s especially true when the treatments being developed represent an entirely new class of medicines. But overcoming those obstacles can revolutionize our ability to treat diseases.

Few companies exemplify that process better than Alnylam Pharmaceuticals. Alnylam was founded by a group of MIT-affiliated researchers who believed in the promise of a technology — RNA interference, or RNAi.

The researchers had done foundational work to understand how RNAi, which is a naturally occurring process, works to silence genes through the degradation of messenger RNA. But it was their decision to found Alnylam in 2002 that attracted the funding and expertise necessary to turn their discoveries into a new class of medicines. Since that decision, Alnylam has made remarkable progress taking RNAi from an interesting scientific discovery to an impactful new treatment pathway.

Today Alnylam has five medicines approved by the U.S. Food and Drug Administration (one Alnylam-discovered RNAi therapeutic is licensed to Novartis) and a rapidly expanding clinical pipeline. The company’s approved medicines are for debilitating, sometimes fatal conditions that many patients have grappled with for decades with few other options.

The company estimates its treatments helped more than 5,000 patients in 2023 alone. Behind that number are patient stories that illustrate how Alnylam has changed lives. A mother of three says Alnylam’s treatments helped her take back control of her life after being bed-ridden with attacks associated with the rare genetic disease acute intermittent porphyria (AIP). Another patient reported that one of the company’s treatments helped her attend her daughter’s wedding. A third patient, who had left college due to frequent AIP attacks, was able to return to school.

These days Alnylam is not the only company developing RNAi-based medicines. But it is still a pioneer in the field, and the company’s founders — MIT Institute Professor Phil Sharp, Professor David Bartel, Professor Emeritus Paul Schimmel, and former MIT postdocs Thomas Tuschl and Phillip Zamore — see Alnylam as a champion for the field more broadly.

“Alnylam has published more than 250 scientific papers over 20 years,” says Sharp, who currently serves as chair of Alnylam’s scientific advisory board. “Not only did we do the science, not only did we translate it to benefit patients, but we also described every step. We established this as a modality to treat patients, and I’m very proud of that record.”

Pioneering RNAi development

MIT’s involvement in RNAi dates back to its discovery. Before Andrew Fire PhD ’83 shared a Nobel Prize for the discovery of RNAi in 1998, he worked on understanding how DNA was transcribed into RNA, as a graduate student in Sharp’s lab.

After leaving MIT, Fire and collaborators showed that double-stranded RNA could be used to silence specific genes in worms. But the biochemical mechanisms that allowed double-stranded RNA to work were unknown until MIT professors Sharp, Bartel, and Ruth Lehmann, along with Zamore and Tuschl, published foundational papers explaining the process. The researchers developed a system for studying RNAi and showed how RNAi can be controlled using different genetic sequences. Soon after Tuschl left MIT, he showed that a similar process could also be used to silence specific genes in human cells, opening up a new frontier in studying genes and ultimately treating diseases.

“Tom showed you could synthesize these small RNAs, transfect them into cells, and get a very specific knockdown of the gene that corresponded to that the small RNAs,” Bartel explains. “That discovery transformed biological research. The ability to specifically knockdown a mammalian gene was huge. You could suddenly study the function of any gene you were interested in by knocking it down and seeing what happens. … The research community immediately started using that approach to study the function of their favorite genes in mammalian cells.”

Beyond illuminating gene function, another application came to mind.

“Because almost all diseases are related to genes, could we take these small RNAs and silence genes to treat patients?” Sharp remembers wondering.

To answer the question, the researchers founded Alnylam in 2002. (They recruited Schimmel, a biotech veteran, around the same time.) But there was a lot of work to be done before the technology could be tried in patients. The main challenge was getting RNAi into the cytoplasm of the patients’ cells.

“Through work in Dave Bartel and Phil Sharp’s lab, among others, it became evident that to make RNAi into therapies, there were three problems to solve: delivery, delivery, and delivery,” says Alnylam Chief Scientific Officer Kevin Fitzgerald, who has been with the company since 2005.

Early on, Alnylam collaborated with MIT drug delivery expert and Institute Professor Bob Langer. Eventually, Alnylam developed the first lipid nanoparticles (LNPs) that could be used to encase RNA and deliver it into patient cells. LNPs were later used in the mRNA vaccines for Covid-19.

“Alnylam has invested over 20 years and more than $4 billion in RNAi to develop these new therapeutics,” Sharp says. “That is the means by which innovations can be translated to the benefit of society.”

From scientific breakthrough to patient bedside

Alnylam received its first FDA approval in 2018 for treatment of the polyneuropathy of hereditary transthyretin-mediated amyloidosis, a rare and fatal disease. It doubled as the first RNAi therapeutic to reach the market and the first drug approved to treat that condition in the United States.

“What I keep in mind is, at the end of the day for certain patients, two months is everything,” Fitzgerald says. “The diseases that we’re trying to treat progress month by month, day by day, and patients can get to a point where nothing is helping them. If you can move their disease by a stage, that’s huge.”

Since that first treatment, Alnylam has updated its RNAi delivery system — including by conjugating small interfering RNAs to molecules that help them gain entry to cells — and earned approvals to treat other rare genetic diseases along with high cholesterol (the treatment licensed to Novartis). All of those treatments primarily work by silencing genes that encode for the production of proteins in the liver, which has proven to be the easiest place to deliver RNAi molecules. But Alnylam’s team is confident they can deliver RNAi to other areas of the body, which would unlock a new world of treatment possibilities. The company has reported promising early results in the central nervous system and says a phase one study last year was the first RNAi therapeutic to demonstrate gene silencing in the human brain.

“There’s a lot of work being done at Alnylam and other companies to deliver these RNAis to other tissues: muscles, immune cells, lung cells, etc.,” Sharp says. “But to me the most interesting application is delivery to the brain. We think we have a therapeutic modality that can very specifically control the activity of certain genes in the nervous system. I think that’s extraordinarily important, for diseases from Alzheimer’s to schizophrenia and depression.”

The central nervous system work is particularly significant for Fitzgerald, who watched his father struggle with Parkinson’s.

“Our goal is to be in every organ in the human body, and then combinations of organs, and then combinations of targets within individual organs, and then combinations of targets within multi-organs,” Fitzgerald says. “We’re really at the very beginning of what this technology is going do for human health.”

It’s an exciting time for the RNAi scientific community, including many who continue to study it at MIT. Still, Alnylam will need to continue executing in its drug development efforts to deliver on that promise and help an expanding pool of patients.

“I think this is a real frontier,” Sharp says. “There’s major therapeutic need, and I think this technology could have a huge impact. But we have to prove it. That’s why Alnylam exists: to pursue new science that unlocks new possibilities and discover if they can be made to work. That, of course, also why MIT is here: to improve lives.”

Ragon faculty finds intricate functions of Resident Tissue Macrophages (RTM’s) extend beyond immune defense

The lab of Ragon Institute faculty @hernandezmsilva published a review in Science Immunology regarding resident tissue macrophages (RTMs), shedding light on these cells’ multifaceted roles.

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News brief: Davis Lab

Exploring the cellular neighborhood

Alison Biester | Department of Biology
March 12, 2024

New software allows scientists to model shapeshifting proteins in native cellular environments

Cells rely on complex molecular machines composed of protein assemblies to perform essential functions such as energy production, gene expression, and protein synthesis. To better understand how these machines work, scientists capture snapshots of them by isolating proteins from cells and using various methods to determine their structures. However, isolating proteins from cells also removes them from the context of their native environment, including protein interaction partners and cellular location.

Recently, cryogenic electron tomography (cryo-ET) has emerged as a way to observe proteins in their native environment by imaging frozen cells at different angles to obtain three-dimensional structural information. This approach is exciting because it allows researchers to directly observe how and where proteins associate with each other, revealing the cellular neighborhood of those interactions within the cell.

With the technology available to image proteins in their native environment, graduate student Barrett Powell wondered if he could take it one step further: what if molecular machines could be observed in action? In a paper published today in Nature Methods, Powell describes the method he developed, called tomoDRGN, for modeling structural differences of proteins in cryo-ET data that arise from protein motions or proteins binding to different interaction partners. These variations are known as structural heterogeneity. 

Although Powell had joined the Davis Lab as an experimental scientist, he recognized the potential impact of computational approaches in understanding structural heterogeneity within a cell. Previously, the Davis Lab developed a related methodology named cryoDRGN to understand structural heterogeneity in purified samples. As Powell and Associate Professor of Biology Joey Davis saw cryo-ET rising in prominence in the field, Powell took on the challenge of reimagining this framework to work in cells. 

When solving structures with purified samples, each particle is imaged only once. By contrast, cryo-ET data is collected by imaging each particle more than 40 times from different angles. That meant tomoDRGN needed to be able to merge the information from more than 40 images, which was where the project hit a roadblock: the amount of data led to an information overload.

To address the information overload, Powell successfully rebuilt the cryoDRGN model to prioritize only the highest-quality data. When imaging the same particle multiple times, radiation damage occurs. The images acquired earlier, therefore, tend to be of higher quality because the particles are less damaged.

“By excluding some of the lower quality data, the results were actually better than using all of the data–and the computational performance was substantially faster,” Powell says.

Just as Powell was beginning work on testing his model, he had a stroke of luck: the authors of a groundbreaking new study that visualized, for the first time, ribosomes inside cells at near-atomic resolution, shared their raw data on the Electric Microscopy Public Image Archive (EMPIAR). This dataset was an exemplary test case for Powell, through which he demonstrated that tomoDRGN could uncover structural heterogeneity within cryo-ET data. 

According to Powell, one exciting result is what tomoDRGN found surrounding a subset of ribosomes in the EMPIAR dataset. Some of the ribosomal particles were associated with a bacterial cell membrane and engaged in a process called cotranslational translocation. This occurs when a protein is being simultaneously synthesized and transported across a membrane. Researchers can use this result to make new hypotheses about how the ribosome functions with other protein machinery integral to transporting proteins outside of the cell, now guided by a structure of the complex in its native environment. 

After seeing that tomoDRGN could resolve structural heterogeneity from a structurally diverse dataset, Powell was curious: how small of a population could tomoDRGN identify? For that test, he chose a protein named apoferritin which is a commonly used benchmark for cryo-ET and is often treated as structurally homogeneous. Ferritin is a protein used for iron storage and is referred to as apoferritin when it lacks iron.

Surprisingly, in addition to the expected particles, tomoDRGN revealed a minor population of ferritin particles–with iron bound–making up just 2% of the dataset that was not previously reported. This result further demonstrated tomoDRGN’s ability to identify structural states that occur so infrequently that they would be averaged out with traditional analysis tools. 

Powell and other members of the Davis Lab are excited to see how tomoDRGN can be applied to further ribosomal studies and to other systems. Davis works on understanding how cells assemble, regulate, and degrade molecular machines, so the next steps include exploring ribosome biogenesis within cells in greater detail using this new tool.

“What are the possible states that we may be losing during purification?” Davis says. “Perhaps more excitingly, we can look at how they localize within the cell and what partners and protein complexes they may be interacting with.” 

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