Author: Lillian Eden

Imperiali Lab News Brief: combining bioinformatics and biochemistry

Parsing endless possibilities

Lillian Eden | Department of Biology
December 11, 2024

New research from the Imperiali Lab in the Department of Biology at MIT combines bioinformatics and biochemistry to reveal critical players in assembling glycans, the large sugar molecules on bacterial cell surfaces responsible for behaviors such as evading immune responses and causing infections.

In most cases, single-celled organisms such as bacteria interact with their environment through complex chains of sugars known as glycans bound to lipids on their outer membranes. Glycans orchestrate biological responses and interactions, such as evading immune responses and causing infections. 

The first step in assembling most bacterial glycans is the addition of a sugar-phosphate group onto a lipid, which is catalyzed by phosphoglycosyl transferases (PGTs) on the inner membrane. This first sugar is then further built upon by other enzymes in subsequent steps in an assembly-line-like pathway. These critical biochemical processes are challenging to explore because the proteins involved in these processes are embedded in membranes, which makes them difficult to isolate and study. 

Although glycans are found in all living organisms, the sugar molecules that compose glycans are especially diverse in bacteria. There are over 30,000 known bacterial PGTs, and hundreds of sugars for them to act upon. 

Research recently published in PNAS from the Imperiali Lab in the Department of Biology at MIT uses a combination of bioinformatics and biochemistry to predict clusters of “like-minded” PGTs and verify which sugars they will use in the first step of glycan assembly. 

Defining the biochemical machinery for these assembly pathways could reveal new strategies for tackling antibiotic-resistant strains of bacteria. This comprehensive approach could also be used to develop and test inhibitors, halting the assembly pathway at this critical first step. 

Exploring Sequence Similarity

First author Theo Durand, an undergraduate student from Imperial College London who studied at MIT for a year, worked in the Imperiali Lab as part of a research placement. Durand was first tasked with determining which sugars some PGTs would use in the first step of glycan assembly, known as the sugar substrates of the PGTs. When initially those substrate-testing experiments didn’t work, Durand turned to the power of bioinformatics to develop predictive tools. 

Strategically exploring the sugar substrates for PGTs is challenging due to the sheer number of PGTs and the diversity of bacteria, each with its own assorted set of glycans and glycoconjugates. To tackle this problem, Durand deployed a tool called a Sequence Similarity Network (SSN), part of a computational toolkit developed by the Enzyme Function Initiative. 

According to senior author Barbara Imperiali, Class of 1922 Professor of Biology and Chemistry, an SSN provides a powerful way to analyze protein sequences through comparisons of the sequences of tens of thousands of proteins. In an optimized SSN, similar proteins cluster together, and, in the case of PGTs, proteins in the same cluster are likely to share the same sugar substrate. 

For example, a previously uncharacterized PGT that appears in a cluster of PGTs whose first sugar substrate is FucNAc4N would also be predicted to use FucNAc4N. The researchers could then test that prediction to verify the accuracy of the SSN. 

FucNAc4N is the sugar substrate for the PGT of Fusobacterium nucleatum (F. nucleatum), a bacterium that is normally only present in the oral cavity but is correlated with certain cancers and endometriosis, and Streptococcus pneumoniae, a bacterium that causes pneumonia. 

Adjusting the assay

The critical biochemical process of assembling glycans has historically been challenging to define, mainly because assembly is anchored to the interior side of the inner membrane of the bacterium. The purification process itself can be difficult, and the purified proteins don’t necessarily behave in the same manner once outside their native membrane environment.

To address this, the researchers modified a commercially available test to work with proteins still embedded in the membrane of the bacterium, thus saving them weeks of work to purify the proteins. They could then determine the substrate for the PGT by measuring whether there was activity. This first step in glycan assembly is chemically unique, and the test measures one of the reaction products. 

For PGTs whose substrate was unknown, Durand did a deep dive into the literature to find new substrates to test. FucNAc4N, the first sugar substrate for F. nucleatum, was, in fact, Durand’s favorite sugar – he found it in the literature and reached out to a former Imperiali Lab postdoc for the instructions and materials to make it. 

“I ended up down a rabbit hole where I was excited every time I found a new, weird sugar,” Durand recalls with a laugh. “These bacteria are doing a bunch of really complicated things and any tools to help us understand what is actually happening is useful.” 

Exploring inhibitors

Imperiali noted that this research both represents a huge step forward in our understanding of bacterial PGTs and their substrates and presents a pipeline for further exploration. She’s hoping to create a searchable database where other researchers can seed their own sequences into the SSN for their organisms of interest. 

This pipeline could also reveal antibiotic targets in bacteria. For example, she says, the team is using this approach to explore inhibitor development. 

The Imperiali lab worked with Karen Allen, a professor of Chemistry at Boston University, and graduate student Roxanne Siuda to test inhibitors, including ones for F. nucleatum, the bacterium correlated with certain cancers and endometriosis whose first sugar substrate is FucNAc4N. They are also hoping to obtain structures of inhibitors bound to the PGT to enable structure-guided optimization.

“We were able to, using the network, discover the substrate for a PGT, verify the substrate, use it in a screen, and test an inhibitor,” Imperiali says. “This is bioinformatics, biochemistry, and probe development all bundled together, and represents the best of functional genomics.”

Introducing MIT HEALS, a life sciences initiative to address pressing health challenges

The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.

Anne Trafton | MIT News
December 10, 2024

At MIT, collaboration between researchers working in the life sciences and engineering is a frequent occurrence. Under a new initiative launched last week, the Institute plans to strengthen and expand those collaborations to take on some of the most pressing health challenges facing the world.

The new MIT Health and Life Sciences Collaborative, or MIT HEALS, will bring together researchers from all over the Institute to find new solutions to challenges in health care. HEALS will draw on MIT’s strengths in life sciences and other fields, including artificial intelligence and chemical and biological engineering, to accelerate progress in improving patient care.

“As a source of new knowledge, of new tools and new cures, and of the innovators and the innovations that will shape the future of biomedicine and health care, there is just no place like MIT,” MIT President Sally Kornbluth said at a launch event last Wednesday in Kresge Auditorium. “Our goal with MIT HEALS is to help inspire, accelerate, and deliver solutions, at scale, to some of society’s most urgent and intractable health challenges.”

The launch event served as a day-long review of MIT’s historical impact in the life sciences and a preview of what it hopes to accomplish in the future.

“The talent assembled here has produced some truly towering accomplishments. But also — and, I believe, more importantly — you represent a deep well of creative potential for even greater impact,” Kornbluth said.

Massachusetts Governor Maura Healey, who addressed the filled auditorium, spoke of her excitement about the new initiative, emphasizing that “MIT’s leadership and the work that you do are more important than ever.”

“One of things as governor that I really appreciate is the opportunity to see so many of our state’s accomplished scientists and bright minds come together, work together, and forge a new commitment to improving human life,” Healey said. “It’s even more exciting when you think about this convening to think about all the amazing cures and treatments and discoveries that will result from it. I’m proud to say, and I really believe this, this is something that could only happen in Massachusetts. There’s no place that has the ecosystem that we have here, and we must fight hard to always protect that and to nurture that.”

A history of impact

MIT has a long history of pioneering new fields in the life sciences, as MIT Institute Professor Phillip Sharp noted in his keynote address. Fifty years ago, MIT’s Center for Cancer Research was born, headed by Salvador Luria, a molecular biologist and a 1975 Nobel laureate.

That center helped to lead the revolutions in molecular biology, and later recombinant DNA technology, which have had significant impacts on human health. Research by MIT Professor Robert Weinberg and others identifying cancer genes has led the development of targeted drugs for cancer, including Herceptin and Gleevec.

In 2007, the Center for Cancer Research evolved into the Koch Institute for Integrative Cancer Research, whose faculty members are divided evenly between the School of Science and the School of Engineering, and where interdisciplinary collaboration is now the norm.

While MIT has long been a pioneer in this kind of collaborative health research, over the past several years, MIT’s visiting committees reported that there was potential to further enhance those collaborations, according to Nergis Mavalvala, dean of MIT’s School of Science.

“One of the very strong themes that emerged was that there’s an enormous hunger among our colleagues to collaborate more. And not just within their disciplines and within their departments, but across departmental boundaries, across school boundaries, and even with the hospitals and the biotech sector,” Mavalvala told MIT News.

To explore whether MIT could be doing more to encourage interdisciplinary research in the life sciences, Mavalvala and Anantha Chandrakasan, dean of the School of Engineering and MIT’s chief innovation and strategy officer, appointed a faculty committee called VITALS (Vision to Integrate, Translate and Advance Life Sciences).

That committee was co-chaired by Tyler Jacks, the David H. Koch Professor of Biology at MIT and a member and former director of the Koch Institute, and Kristala Jones Prather, head of MIT’s Department of Chemical Engineering.

“We surveyed the faculty, and for many people, the sense was that they could do more if there were improved mechanisms for interaction and collaboration. Not that those don’t exist — everybody knows that we have a highly collaborative environment at MIT, but that we could do even more if we had some additional infrastructure in place to facilitate bringing people together, and perhaps providing funding to initiate collaborative projects,” Jacks said before last week’s launch.

These efforts will build on and expand existing collaborative structures. MIT is already home to a number of institutes that promote collaboration across disciplines, including not only the Koch Institute but also the McGovern Institute for Brain Research, the Picower Institute for Learning and Memory, and the Institute for Medical Engineering and Science.

“We have some great examples of crosscutting work around MIT, but there’s still more opportunity to bring together faculty and researchers across the Institute,” Chandrakasan said before the launch event. “While there are these great individual pieces, we can amplify those while creating new collaborations.”

Supporting science

In her opening remarks on Wednesday, Kornbluth announced several new programs designed to support researchers in the life sciences and help promote connections between faculty at MIT, surrounding institutions and hospitals, and companies in the Kendall Square area.

“A crucial part of MIT HEALS will be finding ways to support, mentor, connect, and foster community for the very best minds, at every stage of their careers,” she said.

With funding provided by Noubar Afeyan PhD ’87, an executive member of the MIT Corporation and founder and CEO of Flagship Pioneering, MIT HEALS will offer fellowships for graduate students interested in exploring new directions in the life sciences.

Another key component of MIT HEALS will be the new Hood Pediatric Innovation Hub, which will focus on development of medical treatments specifically for children. This program, established with a gift from the Charles H. Hood Foundation, will be led by Elazer Edelman, a cardiologist and the Edward J. Poitras Professor in Medical Engineering and Science at MIT.

“Currently, the major market incentives are for medical innovations intended for adults — because that’s where the money is. As a result, children are all too often treated with medical devices and therapies that don’t meet their needs, because they’re simply scaled-down versions of the adult models,” Kornbluth said.

As another tool to help promising research projects get off the ground, MIT HEALS will include a grant program known as the MIT-MGB Seed Program. This program, which will fund joint research projects between MIT and Massachusetts General Hospital/Brigham and Women’s Hospital, is being launched with support from Analog Devices, to establish the Analog Devices, Inc. Fund for Health and Life Sciences.

Additionally, the Biswas Family Foundation is providing funding for postdoctoral fellows, who will receive four-year appointments to pursue collaborative health sciences research. The details of the fellows program will be announced in spring 2025.

“One of the things we have learned through experience is that when we do collaborative work that is cross-disciplinary, the people who are actually crossing disciplinary boundaries and going into multiple labs are students and postdocs,” Mavalvala said prior to the launch event. “The trainees, the younger generation, are much more nimble, moving between labs, learning new techniques and integrating new ideas.”

Revolutions

Discussions following the release of the VITALS committee report identified seven potential research areas where new research could have a big impact: AI and life science, low-cost diagnostics, neuroscience and mental health, environmental life science, food and agriculture, the future of public health and health care, and women’s health. However, Chandrakasan noted that research within HEALS will not be limited to those topics.

“We want this to be a very bottom-up process,” he told MIT News. “While there will be a few areas like AI and life sciences that we will absolutely prioritize, there will be plenty of room for us to be surprised on those innovative, forward-looking directions, and we hope to be surprised.”

At the launch event, faculty members from departments across MIT shared their work during panels that focused on the biosphere, brains, health care, immunology, entrepreneurship, artificial intelligence, translation, and collaboration. The program, which was developed by Amy Keating, head of the Department of Biology, and Katharina Ribbeck, the Andrew and Erna Viterbi Professor of Biological Engineering, also included a spoken-word performance by Victory Yinka-Banjo, an MIT senior majoring in computer science and molecular biology.

In her performance, called “Systems,” Yinka-Banjo urged the audience to “zoom out,” look at systems in their entirety, and pursue collective action.

“To be at MIT is to contribute to an era of infinite impact. It is to look beyond the microscope, zooming out to embrace the grander scope. To be at MIT is to latch onto hope so that in spite of a global pandemic, we fight and we cope. We fight with science and policy across clinics, academia, and industry for the betterment of our planet, for our rights, for our health,” she said.

In a panel titled “Revolutions,” Douglas Lauffenburger, the Ford Professor of Engineering and one of the founders of MIT’s Department of Biological Engineering, noted that engineers have been innovating in medicine since the 1950s, producing critical advances such as kidney dialysis, prosthetic limbs, and sophisticated medical imaging techniques.

MIT launched its program in biological engineering in 1998, and it became a full-fledged department in 2005. The department was founded based on the concept of developing new approaches to studying biology and developing potential treatments based on the new advances being made in molecular biology and genomics.

“Those two revolutions laid the foundation for a brand new kind of engineering that was not possible before them,” Lauffenburger said.

During that panel, Jacks and Ruth Lehmann, director of the Whitehead Institute for Biomedical Research, outlined several interdisciplinary projects underway at the Koch Institute and the Whitehead Institute. Those projects include using AI to analyze mammogram images and detect cancer earlier, engineering drought-resistant plants, and using CRISPR to identify genes involved in toxoplasmosis infection.

These examples illustrate the potential impact that can occur when “basic science meets translational science,” Lehmann said.

“I’m really looking forward to HEALS further enlarging the interactions that we have, and I think the possibilities for science, both at a mechanistic level and understanding the complexities of health and the planet, are really great,” she said.

The importance of teamwork

To bring together faculty and students with common interests and help spur new collaborations, HEALS plans to host workshops on different health-related topics. A faculty committee is now searching for a director for HEALS, who will coordinate these efforts.

Another important goal of the HEALS initiative, which was the focus of the day’s final panel discussion, is enhancing partnerships with Boston-area hospitals and biotech companies.

“There are many, many different forms of collaboration,” said Anne Klibanski, president and CEO of Mass General Brigham. “Part of it is the people. You bring the people together. Part of it is the ideas. But I have found certainly in our system, the way to get the best and the brightest people working together is to give them a problem to solve. You give them a problem to solve, and that’s where you get the energy, the passion, and the talent working together.”

Robert Langer, the David H. Koch Institute Professor at MIT and a member of the Koch Institute, noted the importance of tackling fundamental challenges without knowing exactly where they will lead. Langer, trained as a chemical engineer, began working in biomedical research in the 1970s, when most of his engineering classmates were going into jobs in the oil industry.

At the time, he worked with Judah Folkman at Boston Children’s Hospital on the idea of developing drugs that would starve tumors by cutting off their blood supply. “It took many, many years before those would [reach patients],” he says. “It took Genentech doing great work, building on some of the things we did that would lead to Avastin and many other drugs.”

Langer has spent much of his career developing novel strategies for delivering molecules, including messenger RNA, into cells. In 2010, he and Afeyan co-founded Moderna to further develop mRNA technology, which was eventually incorporated into mRNA vaccines for Covid.

“The important thing is to try to figure out what the applications are, which is a team effort,” Langer said. “Certainly when we published those papers in 1976, we had obviously no idea that messenger RNA would be important, that Covid would even exist. And so really it ends up being a team effort over the years.”

Study suggests how the brain, with sleep, learns meaningful maps of spaces

Place cells are well known to encode individual locations, but new experiments and analysis indicate that stitching together a “cognitive map” of a whole environment requires a broader ensemble of cells, aided by sleep, to build a richer network over several days, according to new research from the Wilson Lab.

David Orenstein | The Picower Institute for Learning and Memory
December 10, 2024

On the first day of your vacation in a new city your explorations expose you to innumerable individual places. While the memories of these spots (like a beautiful garden on a quiet side street) feel immediately indelible, it might be days before you have enough intuition about the neighborhood to direct a newer tourist to that same site and then maybe to the café you discovered nearby. A new study in mice by MIT neuroscientists at The Picower Insitute for Learning and Memory provides new evidence for how the brain forms cohesive cognitive maps of whole spaces and highlights the critical importance of sleep for the process.

Scientists have known for decades that the brain devotes neurons in a region called the hippocampus to remembering specific locations. So-called “place cells” reliably activate when an animal is at the location the neuron is tuned to remember. But more useful than having markers of specific spaces is having a mental model of how they all relate in a continuous overall geography. Though such “cognitive maps” were formally theorized in 1948, neuroscientists have remained unsure of how the brain constructs them. The new study in the December edition of Cell Reports finds that the capability may depend upon subtle but meaningful changes over days in the activity of cells that are only weakly attuned to individual locations, but that increase the robustness and refinement of the hippocampus’s encoding of the whole space. With sleep, the study’s analyses indicate, these “weakly spatial” cells increasingly enrich neural network activity in the hippocampus to link together these places into a cognitive map.

“On day 1, the brain doesn’t represent the space very well,” said lead author Wei Guo, a research scientist in the lab of senior author Matthew Wilson, Sherman Fairchild Professor in The Picower Institute and MIT’s Departments of Biology and Brain and Cognitive Sciences. “Neurons represent individual locations, but together they don’t form a map. But on day 5 they form a map. If you want a map, you need all these neurons to work together in a coordinated ensemble.”

Mice mapping mazes

To conduct the study, Guo and Wilson along with labmates Jie “Jack” Zhang and Jonathan Newman introduced mice to simple mazes of varying shapes and let them explore them freely for about half an hour a day for several days. Importantly, the mice were not directed to learn anything specific through the offer of any rewards. They just wandered. Previous studies have shown that mice naturally demonstrate “latent learning” of spaces from this kind of unrewarded experience after several days.

To understand how latent learning takes hold, Guo and his colleagues visually monitored hundreds of neurons in the CA1 area of the hippocampus by engineering cells to flash when a buildup of calcium ions made them electrically active. They not only recorded the neurons’ flashes when the mice were actively exploring, but also while they were sleeping. Wilson’s lab has shown that animals “replay” their previous journeys during sleep, essentially refining their memories by dreaming about their experiences.

Analysis of the recordings showed that the activity of the place cells developed immediately and remained strong and unchanged over several days of exploration.  But this activity alone wouldn’t explain how latent learning or a cognitive map evolves over several days. So unlike in many other studies where scientists focus solely on the strong and clear activity of place cells, Guo extended his analysis to the more subtle and mysterious activity of cells that were not so strongly spatially tuned. Using an emerging technique called “manifold learning” he was able to discern that many of the “weakly spatial” cells gradually correlated their activity not with locations, but with activity patterns among other neurons in the network. As this was happening, Guo’s analyses showed, the network encoded a cognitive map of the maze that increasingly resembled the literal, physical space.

“Although not responding to specific locations like strongly spatial cells, weakly spatial cells specialize in responding to ‘‘mental locations,’’ i.e., specific ensemble firing patterns of other cells,” the study authors wrote. “If a weakly spatial cell’s mental field encompasses two subsets of strongly spatial cells that encode distinct locations, this weakly spatial cell can serve as a bridge between these locations.”

In other words, the activity of the weakly spatial cells likely stitches together the individual locations represented by the place cells into a mental map.

The need for sleep

Studies by Wilson’s lab and many others have shown that memories are consolidated, refined and processed by neural activity, such as replay, that occurs during sleep and rest. Guo and Wilson’s team therefore sought to test whether sleep was necessary for the contribution of weakly spatial cells to latent learning of cognitive maps.

To do this they let some mice explore a new maze twice during the same day with a three-hour siesta in between. Some of the mice were allowed to sleep but some were not. The ones that did showed a significant refinement of their mental map, but the ones that weren’t allowed to sleep showed no such improvement. Not only did the network encoding of the map improve, but also measures of the tuning of individual cells during showed that sleep helped cells become better attuned both to places and to patterns of network activity, so called “mental places” or “fields.”

Mental map meaning

The “cognitive maps” the mice encoded over several days were not literal, precise maps of the mazes, Guo notes. Instead they were more like schematics. Their value is that they provide the brain with a topology that can be explored mentally, without having to be in the physical space. For instance, once you’ve formed your cognitive map of the neighborhood around your hotel, you can plan the next morning’s excursion (e.g. you could imagine grabbing a croissant at the bakery you observed a few blocks west and then picture eating it on one of those benches you noticed in the park along the river).

Indeed, Wilson hypothesized that the weakly spatial cells’ activity may be overlaying salient non-spatial information that brings additional meaning to the maps (i.e. the idea of a bakery is not spatial, even if it’s closely linked to a specific location). The study, however, included no landmarks within the mazes and did not test any specific behaviors among the mice. But now that the study has identified that weakly spatial cells contribute meaningfully to mapping, Wilson said future studies can investigate what kind of information they may be incorporating into the animals’ sense of their environments. We seem to intuitively regard the spaces we inhabit as more than just sets of discrete locations.

“In this study we focused on animals behaving naturally and demonstrated that during freely exploratory behavior and subsequent sleep, in the absence of reinforcement, substantial neural plastic changes at the ensemble level still occur,” the authors concluded. “This form of implicit and unsupervised learning constitutes a crucial facet of human learning and intelligence, warranting further in-depth investigations.”

The Freedom Together Foundation, The Picower Institute for Learning and Memory and the National Institutes of Health funded the study.

Cellular traffic congestion in chronic diseases suggests new therapeutic targets

Many chronic diseases have a common denominator that could be driving their dysfunction: reduced protein mobility, which in turn reduces protein function. A new paper from the Young Lab describes this pervasive mobility defect.

Greta Friar | Whitehead Institute
November 26, 2024

Chronic diseases like type 2 diabetes and inflammatory disorders have a huge impact on humanity. They are a leading cause of disease burden and deaths around the globe, are physically and economically taxing, and the number of people with such diseases is growing.

Treating chronic disease has proven difficult because there is not one simple cause, like a single gene mutation, that a treatment could target. At least, that’s how it has appeared to scientists. However, research from Whitehead Institute Member Richard Young and colleagues, published in the journal Cell on November 27, reveals that many chronic diseases have a common denominator that could be driving their dysfunction: reduced protein mobility. What this means is that around half of all proteins active in cells slow their movement when cells are in a chronic disease state, reducing the proteins’ functions. The researchers’ findings suggest that protein mobility may be a linchpin for decreased cellular function in chronic disease, making it a promising therapeutic target.

In this paper, Young and colleagues in his lab, including postdoc Alessandra Dall’Agnese, graduate students Shannon Moreno and Ming Zheng, and research scientist Tong Ihn Lee, describe their discovery of this common mobility defect, which they call proteolethargy; explain what causes the defect and how it leads to dysfunction in cells; and propose a new therapeutic hypothesis for treating chronic diseases.

“I’m excited about what this work could mean for patients,” says Dall’Agnese. “My hope is that this will lead to a new class of drugs that restore protein mobility, which could help people with many different diseases that all have this mechanism as a common denominator.”

“This work was a collaborative, interdisciplinary effort that brought together biologists, physicists, chemists, computer scientists and physician-scientists,” Lee says. “Combining that expertise is a strength of the Young lab. Studying the problem from different viewpoints really helped us think about how this mechanism might work and how it could change our understanding of the pathology of chronic disease.”

Commuter delays cause work stoppages in the cell

How do proteins moving more slowly through a cell lead to widespread and significant cellular dysfunction? Dall’Agnese explains that every cell is like a tiny city, with proteins as the workers who keep everything running. Proteins have to commute in dense traffic in the cell, traveling from where they are created to where they work. The faster their commute, the more work they get done. Now, imagine a city that starts experiencing traffic jams along all the roads. Stores don’t open on time, groceries are stuck in transit, meetings are postponed. Essentially all operations in the city are slowed.

The slow down of operations in cells experiencing reduced protein mobility follows a similar progression. Normally, most proteins zip around the cell bumping into other molecules until they locate the molecule they work with or act on. The slower a protein moves, the fewer other molecules it will reach, and so the less likely it will be able to do its job. Young and colleagues found that such protein slow-downs lead to measurable reductions in the functional output of the proteins. When many proteins fail to get their jobs done in time, cells begin to experience a variety of problems—as they are known to do in chronic diseases.

Discovering the protein mobility problem

Young and colleagues first suspected that cells affected in chronic disease might have a protein mobility problem after observing changes in the behavior of the insulin receptor, a signaling protein that reacts to the presence of insulin and causes cells to take in sugar from blood. In people with diabetes, cells become less responsive to insulin — a state called insulin resistance — causing too much sugar to remain in the blood. In research published on insulin receptors in Nature Communications in 2022, Young and colleagues reported that insulin receptor mobility might be relevant to diabetes.

Knowing that many cellular functions are altered in diabetes, the researchers considered the possibility that altered protein mobility might somehow affect many proteins in cells. To test this hypothesis, they studied proteins involved in a broad range of cellular functions, including MED1, a protein involved in gene expression; HP1α, a protein involved in gene silencing; FIB1, a protein involved in production of ribosomes; and SRSF2, a protein involved in splicing of messenger RNA. They used single-molecule tracking and other methods to measure how each of those proteins moves in healthy cells and in cells in disease states. All but one of the proteins showed reduced mobility (about 20-35%) in the disease cells.

“I’m excited that we were able to transfer physics-based insight and methodology, which are commonly used to understand the single-molecule processes like gene transcription in normal cells, to a disease context and show that they can be used to uncover unexpected mechanisms of disease,” Zheng says. “This work shows how the random walk of proteins in cells is linked to disease pathology.”

Moreno concurs: “In school, we’re taught to consider changes in protein structure or DNA sequences when looking for causes of disease, but we’ve demonstrated that those are not the only contributing factors. If you only consider a static picture of a protein or a cell, you miss out on discovering these changes that only appear when molecules are in motion.”

 Can’t commute across the cell, I’m all tied up right now

Next, the researchers needed to determine what was causing the proteins to slow down. They suspected that the defect had to do with an increase in cells of the level of reactive oxygen species (ROS), molecules that are highly prone to interfering with other molecules and their chemical reactions. Many types of chronic-disease-associated triggers, such as higher sugar or fat levels, certain toxins, and inflammatory signals, lead to an increase in ROS, also known as an increase in oxidative stress. The researchers measured the mobility of the proteins again, in cells that had high levels of ROS and were not otherwise in a disease state, and saw comparable mobility defects, suggesting that oxidative stress was to blame for the protein mobility defect.

The final part of the puzzle was why some, but not all, proteins slow down in the presence of ROS. SRSF2 was the only one of the proteins that was unaffected in the experiments, and it had one clear difference from the others: its surface did not contain any cysteines, an amino acid building block of many proteins. Cysteines are especially susceptible to interference from ROS because it will cause them to bond to other cysteines. When this bonding occurs between two protein molecules, it slows them down because the two proteins cannot move through the cell as quickly as either protein alone.

About half of the proteins in our cells contain surface cysteines, so this single protein mobility defect can impact many different cellular pathways. This makes sense when one considers the diversity of dysfunctions that appear in cells of people with chronic diseases: dysfunctions in cell signaling, metabolic processes, gene expression and gene silencing, and more. All of these processes rely on the efficient functioning of proteins—including the diverse proteins studied by the researchers. Young and colleagues performed several experiments to confirm that decreased protein mobility does in fact decrease a protein’s function. For example, they found that when an insulin receptor experiences decreased mobility, it acts less efficiently on IRS1, a molecule to which it usually adds a phosphate group.

From understanding a mechanism to treating a disease

Discovering that decreased protein mobility in the presence of oxidative stress could be driving many of the symptoms of chronic disease provides opportunities to develop therapies to rescue protein mobility. In the course of their experiments, the researchers treated cells with an antioxidant drug—something that reduces ROS—called N-acetyl cysteine and saw that this partially restored protein mobility.

The researchers are pursuing a variety of follow ups to this work, including the search for drugs that safely and efficiently reduce ROS and restore protein mobility. They developed an assay that can be used to screen drugs to see if they restore protein mobility by comparing each drug’s effect on a simple biomarker with surface cysteines to one without. They are also looking into other diseases that may involve protein mobility, and are exploring the role of reduced protein mobility in aging.

“The complex biology of chronic diseases has made it challenging to come up with effective therapeutic hypotheses,” says Young, who is also a professor of biology at the Massachusetts Institute of Technology. “The discovery that diverse disease-associated stimuli all induce a common feature, proteolethargy, and that this feature could contribute to much of the dysregulation that we see in chronic disease, is something that I hope will be a real game changer for developing drugs that work across the spectrum of chronic diseases.”

KI Gallery Exhibit: Artifacts from a half century of cancer research

Celebrating 50 years of MIT's cancer research program and the individuals who have shaped its journey, the Koch Institute Gallery features 10 significant artifacts, from one of the earliest PCR machine developed by Nobel Laureate H. Robert Horvitz to a preserved zebrafish from the lab of Nancy Hopkins in the Koch Institute Public Galleries. Visit Monday through Friday, 9AM-5PM.

Koch Institute
November 21, 2024

Throughout 2024, MIT’s Koch Institute for Integrative Cancer Research has celebrated 50 years of MIT’s cancer research program and the individuals who have shaped its journey. In honor of this milestone anniversary year, on November 19, the Koch Institute celebrated the opening of a new exhibition: Object Lessons: Celebrating 50 Years of Cancer Research at MIT in 10 Items. Object Lessons invites the public to explore significant artifacts—from one of the earliest PCR machines, developed in the lab of Nobel laureate H. Robert Horvitz, to Greta, a groundbreaking zebrafish from the lab of Professor Nancy Hopkins—in the half century of discoveries and advancements that have positioned MIT at the forefront of the fight against cancer.

50 years of innovation

The exhibition provides a glimpse into the many contributors and advancements that have defined MIT’s cancer research history since the founding of the Center for Cancer Research in 1974. When the National Cancer Act was passed in 1971, very little was understood about the biology of cancer, and it aimed to deepen our understanding of cancer and develop better strategies for the prevention, detection, and treatment of the disease. MIT embraced this call to action, establishing a center where many leading biologists tackled cancer’s fundamental questions. Building on this foundation, the Koch Institute opened its doors in 2011, housing engineers and life scientists from many fields under one roof to accelerate progress against cancer in novel and transformative ways.

In the 13 years since, the Koch Institute’s collaborative and interdisciplinary approach to cancer research has yielded significant advances in our understanding of the underlying biology of cancer and allowed for the translation of these discoveries into meaningful patient impacts. Over 120 spin-out companies—many headquartered nearby in the Kendall Square area—have their roots in Koch Institute research, with nearly half having advanced their technologies to clinical trials or commercial applications. The Koch Institute’s collaborative approach extends beyond its labs: principal investigators often form partnerships with colleagues at world-renowned medical centers, bridging the gap between discovery and clinical impact.

Current Koch Institute Director Matthew Vander Heiden, also a practicing oncologist at the Dana-Farber Cancer Institute, is driven by patient stories.

“It is never lost on us that the work we do in the lab is important to change the reality of cancer for patients,” he says. “We are constantly motivated by the urgent need to translate our research and improve outcomes for those impacted by cancer.”

Symbols of progress

The items on display as part of Object Lessons take viewers on a journey through five decades of MIT cancer research, from the pioneering days of Salvador Luria, founding director of the Center for Cancer Research, to some of the Koch Institute’s newest investigators including Francisco Sánchez-Rivera, Eisen and Chang Career Development Professor and an assistant professor of biology, and Jessica Stark, Underwood-Prescott Career Development Professor and an assistant professor of biological engineering and chemical engineering.

Among the standout pieces is a humble yet iconic object: Salvador Luria’s ceramic mug, emblazoned with “Luria’s broth.” Lysogeny broth, often called—apocryphally—Luria Broth, is a medium for growing bacteria. Still in use today, the recipe was first published in 1951 by a research associate in Luria’s lab. The artifact, on loan from the MIT Museum, symbolizes the foundational years of the Center for Cancer Research and serves as a reminder of Luria’s influence as an early visionary. His work set the stage for a new era of biological inquiry that would shape cancer research at MIT for generations.

Visitors can explore firsthand how the Koch Institute continues to build on the legacy of its predecessors, translating decades of knowledge into new tools and therapies that have the potential to transform patient care and cancer research.

For instance, the PCR machine designed in the Horvitz Lab in the 1980s made genetic manipulation of cells easier, and gene sequencing faster and more cost-effective. At the time of its commercialization, this groundbreaking benchtop unit marked a major leap forward. In the decades since, technological advances have allowed for the visualization of DNA and biological processes at a much smaller scale, as demonstrated by the handheld BioBits® imaging device developed by Stark and on display next door to the Horvitz panel.

 “We created BioBits kits to address a need for increased equity in STEM education,” Stark says. “By making hands-on biology education approachable and affordable, BioBits kits are helping inspire and empower the next generation of scientists.”

While the exhibition showcases scientific discoveries and marvels of engineering, it also aims to underscore the human element of cancer research through personally significant items, such as a messenger bag and Seq-Well device belonging to Alex Shalek, J. W. Kieckhefer Professor in the Institute for Medical Engineering and Science and the Department of Chemistry.

Shalek investigates the molecular differences between individual cells, developing mobile RNA-sequencing devices. He could often be seen toting the bag around the Boston area, and worldwide as he perfected and shared his technology with collaborators near and far. Through his work, Shalek has helped to make single cell sequencing accessible for labs in more than 30 countries across six continents.

“The KI seamlessly brings together students, staff, clinicians, and faculty across multiple different disciplines to collaboratively derive transformative insights into cancer,” Shalek says. “To me, these sorts of partnerships are the best part about being at MIT.”

Around the corner from Shalek’s display, visitors will find an object that serves as a stark reminder of the real people impacted by Koch Institute research: Steven Keating’s SM’12, PhD ’16 3D-printed model of his own brain tumor. Keating, who passed away in 2019, became a fierce advocate for the rights of patients to their medical data, and came to know Vander Heiden through his pursuit to become an expert on his tumor type, IDH-mutant glioma. In the years since, Vander Heiden’s work has contributed to a new therapy to treat Steven’s tumor type. In 2024, the drug, called vorasidenib, gained FDA approval, providing the first therapeutic breakthrough for Keating’s cancer in more than 20 years.

As the Koch Institute looks to the future, Object Lessons stands as a celebration of the people, the science, and the culture that have defined MIT’s first half-century of breakthroughs and contributions to the field of cancer research.

“Working in the uniquely collaborative environment of the Koch Institute and MIT, I am confident that we will continue to unlock key insights in the fight against cancer,” says Vander Heiden. “Our community is poised to embark on our next 50 years with the same passion and innovation that has carried us this far.”

Object Lessons will be on view in the Koch Institute Public Galleries. Visit Monday through Friday, 9 a.m. to 5 p.m., to see the exhibit up close.

Whitehead Institute Member Sebastian Lourido receives the 2024 William Trager Award

Sebastian Lourido was awarded the 2024 William Trager Award by the American Society of Tropical Medicine and Hygiene for his pioneering use of CRISPR tools to study the biology of Toxoplasma gondii, a single-celled parasite that infects about 25% of humans.

Merrill Meadow | Whitehead Institute
November 14, 2024

The Trager Award recognizes scientists who have made substantial contributions to the study of basic parasitology through breakthroughs that have unlocked completely new areas of work.

ASTMH selected Lourido — who is also an associate professor of Biology at Massachusetts Institute of Technology and holds the Landon Clay Career Development Chair at Whitehead Institute — in recognition of his groundbreaking discoveries on the molecular biology of Toxoplasma. In particular, Lourido has been lauded for his use of cutting-edge CRISPR tools to study the fundamental biology of Toxoplasma gondii, a single-celled parasite that infects about 25 percent of humans.

“My laboratory colleagues and I are grateful for this recognition of our work, and for the wonderful opportunity it presents to more widely share the ideas and tools we have developed,” says Lourido, who will deliver a talk on his research at the ASTMH Annual Meeting in New Orleans on Nov. 15, 2024.

Research findings: Open technology platform enables new versatility for neuroscience research with more naturalistic behavior

System developed by MIT, including co-author Mathew Wilson, and Open Ephys team provides a fast, light, standardized means for combining multiple instruments with minimal hindrance of lab mouse mobility.

David Orenstein | The Picower Institute for Learning and Memory
November 13, 2024

Individual technologies for recording and controlling neural activity in the brains of research mice have each advanced rapidly but the potential of easily mixing and matching them to conduct more sophisticated experiments, all while enabling the most natural behavior possible, has been difficult to realize. To empower a new generation of neuroscience experiments, engineers and scientists at MIT and the Open Ephys cooperative have developed a new standardized, open-source hardware and software platform. They described the system, called ONIX, in a new study Nov. 11 in Nature Methods.

ONIX provides labs with a means to acquire data simultaneously from multiple popular implanted technologies (such as electrodes, microscopes and stimulation probes) while also powering and controlling those independent devices via a very thin coaxial cable and unimposing headstage. The system provides a standardized means of acquiring each instrument’s data and neatly integrating it all for efficient transmission to desktop software where scientists can then see and work with it. In the study the researchers document ONIX’s high data throughput and low latency. They also demonstrate that because the system’s headstage and cable are so physically light and resistant to twisting, mice can behave completely naturally and wear the system for days on end. In a large enclosure at MIT with a complex 3D landscape, for instance, mice wearing the system were able to nimbly scamper, climb and leap in experiments comparably to mice wearing no hardware at all.

“ONIX represents the culmination of many quantitative improvements that all come together to enable a qualitative leap in our ability to perform neural recordings in naturalistic behavior,” said corresponding author Jakob Voigts, an MIT neuroscience alumnus, co-founder of Open Ephys, and a research group leader at the Janelia Research Campus of the Howard Hughes Medical Institute. “We can now study the brain during behaviors that unfold over many hours and allow the animals to learn, to make a lot of complex decisions, and to interact with the world in ways that were previously not accessible.”

Jon Newman, a former MIT postdoc and now president of Open Ephys, and MIT postdoc Jie “Jack” Zhang led the work in the lab of co-author Matt Wilson, Sherman Fairchild Professor in The Picower Institute for Learning and Memory at MIT, together with Aarón Cuevas-López at Open Ephys. Wilson, whose lab studies neural processes underlying memory, said the idea behind developing ONIX was to develop a set of standards that would make it easy for any lab to use multiple technologies to acquire rich neural data while animals performed complex behaviors over long time periods.

“Jon’s motivation, the principle he used, was that if we need to do experiments that combined things like optogenetics, imaging, tetrode electrophysiology, and neuropixels, could we do it in a way that would not only enable experiments we were doing but also more complex experiments, involving more complex behavior, involving the integration of different recording methodologies that advances the whole community and not just one individual lab?,” said Wilson, a faculty member in MIT’s Departments of Biology and Brain and Cognitive Sciences (BCS).

Open origins

As Newman and then Zhang began to develop the technology starting in 2016 with this community-minded, open-source philosophy, Wilson said, it was natural to do so in partnership with Open Ephys, an MIT-born effort, now based in Atlanta, which develops and disseminates open, standardized systems to for neuroscience research. Making systems open-source provides researchers with many advantages, Voigts explained.

“Anyone can download the plans for the hardware as well as the software that make up the system,” Voigts said. “For technically well-versed neuroscientists this means that it is easier to modify aspects of the system. Open source also means that the system works with probes from many manufacturers because the connectors and standards aren’t proprietary. Most importantly, the open standards and design allow hardware and software developers to use ONIX as a starting point for completely new tools.”

Voigts compared ONIX to the USB standard people enjoy on their computers and phones. Any number of accessories can easily work with those devices because all they have to do is plug in. Similarly with ONIX, Wilson said, “You can mix and match and combine and then add new technologies without having to re-engineer the whole system.”

Lab demos

To validate the platform, the researchers conducted several experiments with mice including in Wilson’s lab and in the lab of co-author Mark Harnett, Associate Professor in the McGovern Institute for Brain Research and BCS Department at MIT (where Voigts did his postdoctoral work).

In their experiments they compared the mobility of mice implanted with electrodes but sometimes wearing ONIX (and its 0.3 mm tether cable) vs. sometimes wearing a commonly used and but substantially thicker (1.8 mm) tether cable over an 8-hour neural recording session. The mice proved to be much more mobile while wearing the lighter and thinner ONIX system, showing a broader range of exploration, freer head movement, and much faster running speeds. In a similar experiment in which mice were inplanted with tetrodes in the brain’s retrosplenial cortex, they even were able to jump while wearing ONIX but did not while wearing the more imposing tether. In another experiment the researchers compared mouse mobility around the enclosure between ONIX-wearing and completely unimplanted mice. The mice explored with equal freedom (as measured by motion tracking cameras) though the ONIX mice didn’t run as fast as unimplanted mice.

In further experiments, Voigts’s team at Janelia used ONIX to record for 55 hours because the system kept its cable tangle-free over that long-duration activity.

Finally the researchers showed that ONIX could transmit recordings not only from implanted electrodes and tetrodes but also from miniscopes and neuropixels, via experiments at the Allen Institute for Brain Science. They also showed how Open Ephys’s data acquisition software Bonsai (developed by co-author Goncalo Lopes) enabled the brain activity recordings to be synchronized with behavior tracking cameras to correlate neural activity and behavior.

Voigts said he hopes the system earns widespread adoption, especially as hardware costs continue to come down.

“I hope that this system convinces others to take the plunge and record neural data in more complex animal behaviors,” he said.

In addition to the authors named above, other authors are Nicholas Miller, Takato Honda, Marie-Sophie van der Goes, Alexandra Leighton Felipe Carvalho, Anna Lakunina, and Joshua Siegle, who co-founded Open Ephys with Voigts.

Funding for the study came from the National Institutes of Health, The Picower Institute for Learning and Memory, The JPB Foundation, the National Science Foundation, a Brain Science Foundation Research Grant Award, a Kavli-Grass-MBL Fellowship by the Kavli Foundation, the Grass Foundation, and Marine Biological Laboratory (MBL), an Osamu Hayaishi Memorial Scholarship for Study Abroad, a Uehara Memorial Foundation Overseas Fellowship, and Japan Society for the Promotion of Science (JSPS) Overseas Fellowship. a Mathworks Graduate Fellowship. The Simons Center for the Social Brain at MIT and the Howard Hughes Medical Institute.

Alumni Spotlight: Distillery Founder with a Spirited Passion

Jennifer Yang, '97, has been drawing on her biology degree for making spirits at a craft distillery in Maryland.

Jessica R. Simpson | Slice of MIT
October 15, 2024

If you had told Jennifer Yang ’97 during her time as a Course 7 major at MIT that she would use her biology degree to run a distillery, she wouldn’t have believed you.

“When I was at MIT, I looked at entrepreneurs and I thought, ‘Oh my gosh, that’s not me. I’m not one of those people who are so innovative and gutsy and brave,’” Yang says.

Managing a distillery is a passion that matured in Yang over time—much like the complex flavor of a barrel-aged whiskey. After graduating from MIT, the New York-native moved to Washington, DC, to pursue a career in management and technology consulting, which involved a lot of after-hours networking events. While building connections with colleagues over a glass of whiskey—a drink that was particularly popular with clients—Yang discovered her passion. Over the course of 10 years, she researched the science of making spirits, explored different small distilleries, and even started a whiskey tasting club.

“Being a science geek at heart and being very curious, I went down this rabbit hole pretty quickly in terms of wanting to learn more about it,” Yang explains.

In November 2022, she and her husband opened Covalent Spirits, a craft distillery, tasting room, and event space in Westminster, Maryland. In addition to producing bourbon whiskey, Covalent Spirits distills and blends vodka, gin, rum, and liqueurs. One of the bar’s unique and in-demand offerings is the “pH,” or “power of hydrogen,” cocktail, which uses the acidity of lemonade to turn a blue tea into a vibrant purple. Yang still works in consulting, but you can find her in her element behind the bar, engineering “pH” (and many other) cocktails Thursday through Saturday.

In her spare time, Yang is a committed MIT volunteer. An active participant in the Club of Washington DC, she is the regional alumni ambassador for the Baltimore area as well. Yang is also an educational counselor and the current president of the Class of 1997. She notes that she and her ’97 classmates were the first to organize pi reunions, a tradition in which alums gather in Las Vegas 3.14 years after graduation. “We’re glad our class could leave a little bit of a legacy,” she says.

In fact, the shared MIT connection between alumni inspired Yang to name her company Covalent Spirits. One year, at an MIT gathering, Yang started talking to another alum about planning events for undergrad classes that shared years at MIT—what they called “covalent classes.” Yang has since incorporated literal and metaphorical covalent bonds (a chemical connection between atoms formed by sharing) into every facet of her business: from the chemistry of making spirits, to the design of the distillery logo, to the company’s emphasis on community.

“While we are striving to create really good products, we also want to create a space and experiences for people to get together and geek out over a common interest, to celebrate an occasion, or to connect over anything,” Yang elaborates. “You share a drink, you share an experience, you share a community. Bonding through sharing is the covalent spirit.”

PNAS Profile: Catherine Drennan

Structural intuitions lead to structural insights

Jennifer Viegas | PNAS
November 8, 2024

HHMI Investigator and Professor of Biology and Chemistry Catherine Drennan has spent a distinguished career addressing challenging and wide-ranging structural biology problems.

Catherine Drennan, a Howard Hughes Medical Institute investigator and professor and a professor of biology and chemistry at the Massachusetts Institute of Technology (MIT), has spent a distinguished career addressing challenging and wide-ranging structural biology problems. These include her discovery, while she was a graduate student, of the structure of vitamin B12 bound to protein and her recent determination at atomic resolution of the structure of an active ribonucleotide reductase (RNR) with water molecules, findings reported in her Inaugural Article (IA) (1).

Drennan, who was elected to the National Academy of Sciences in 2023, has uncovered the form and function of metalloenzymes that use metal cofactors to catalyze chemical reactions involving free radicals. Metalloenzymes are of broad human health and environmental interest; some are promising antibiotic and cancer drug targets, whereas others hold the potential for bioremediation efforts, such as converting carbon dioxide into biofuels.

Family of Accomplished Scientists

Drennan was raised in New York City by her father, an obstetrician–gynecologist, and her mother, an anthropologist. Her father was born in Germany and attended medical school at the University of Hamburg. Harboring antifascist leanings, he fled Germany in 1933. He completed medical training in Geneva, Switzerland, before obtaining political asylum in 1940 in the United States, where he became one of the first doctors to practice the Lamaze Method of natural childbirth.
Drennan’s mother attended Antioch College, where she was a student of civil engineer Arthur Ernest Morgan, who was appointed in 1948 to India’s first University Education Commission. She accompanied Morgan to India and served as his administrative assistant before earning her doctorate in anthropology at Cornell University.

“Both my parents were endlessly curious,” says Drennan. “My father was fascinated by the molecular basis of medicine, and my mother was fascinated by people and instilled in me her love for storytelling, teaching, and mentoring.”

Diagnosed with Dyslexia

Although she was an attentive student, Drennan did not learn to read until her second time through sixth grade. “When I finally learned how to read, it was by memorizing the shapes of words,” says Drennan, who was diagnosed with dyslexia when she was in first grade. “Over time I became very good at shape recognition. I am not disabled; I am differently abled. The skill set that I developed to compensate for my dyslexia has made me a world-class structural biologist. We all have strengths and weaknesses, and my ‘weakness’ is also my superpower.”
She was accepted to Vassar College, where she earned a bachelor’s degree in chemistry in 1985. “Miriam Rossi was my undergraduate chemistry research advisor, and she believed in me before I believed in me,” Drennan says. Upon Rossi’s advice, Drennan pursued a doctorate, but not before teaching high-school science and drama at Scattergood Friends School in Iowa.
Following three years of high-school teaching, Drennan pursued graduate studies at the University of Michigan, Ann Arbor, where she earned a PhD in 1995, served as a research fellow from 1995 to 1996, and was mentored by biochemists Martha Ludwig and Rowena Matthews. “They treated me as a colleague, allowing me to see myself as a scientist of value,” Drennan says. “I learned so much from these two incredible scientists. They are, and always will be, my heroes.”

Structure of Vitamin B12 Bound to Protein

With Ludwig et al., Drennan determined the structure of cobalamin (vitamin B12) bound to protein (2). This crystal structure revealed how the protein modulates the reactivity of the B12 cofactor to enable its critical roles in metabolism.
From 1996 to 1999, Drennan did a postdoctoral stint at the California Institute of Technology, under the mentorship of structural biologist Douglas Rees. “Doug taught by example that one does not have to be cutthroat to succeed in the competitive area of structural biology,” she says. “He has continued to mentor me throughout my career, helping me through challenging times.”
Another important mentor was chemist JoAnne Stubbe, a leader in the study of RNRs who recruited Drennan to MIT in 1999 as an assistant professor of chemistry and has been her collaborator for the past 25 years. Drennan says, “Her passion for scientific discovery is unmatched and has inspired me to keep digging to try to understand, at the most fundamental level, how ribonucleotide reductase works.” Drennan advanced to an associate professorship at MIT in 2004 and a full professorship in 2006.

Revealing Metalloenzyme Form and Function

Drennan’s group continues to study B12 and has provided numerous snapshots of cobalamin-dependent proteins and protein complexes. The findings have changed what is known about B12 functions and mechanisms. Using X-ray crystallography, the researchers unveiled a protein complex capable of methyl transfer from folate to B12 (3). They obtained snapshots of the biological process involved in loading B12 into an enzyme (4) and provided structural data on how B12 can be repurposed from enzyme cofactor to light sensor (5).
Drennan has also worked on uncovering the structures of enzymes containing radical S-adenosylmethionine (SAM) cofactors. Drennan and colleagues revealed an X-ray structure of a radical SAM enzyme (6), helping to establish the “core” fold for an enzyme superfamily that has over 100,000 members. Her group further elucidated structures of SAM family members with functions including posttranslational modification (7), antibiotic and antiviral compound biosynthesis (8, 9), and vitamin biosynthesis (6, 10).
Mononuclear nonheme iron enzymes are also of interest to Drennan. The cofactor is simple, but the reactions catalyzed are complex. Her group reported the structure of a nonheme iron halogenase, showing that the halogen binds directly to the catalytic iron (11). Drennan says, “This was a complete surprise that required new mechanistic proposals to be written.”

“Oceanic Methane Paradox”

Early in her independent career, Drennan determined one of the first structures of a nickel-iron-sulfur-dependent carbon monoxide dehydrogenase (CODH), which plays an important role in the global carbon cycle (12). The structure, along with that of an associated enzyme complex (13), provided a series of snapshots of the multiple metal ion centers underlying the ability of certain microbes to live off hydrogen gas and carbon dioxide in a process known as acetogenesis. More recently, they investigated the molecular basis by which the activity of CODH enzymes can be restored after oxygen exposure (14), a discovery with implications for the industrial use of CODHs.
Drennan and her team have also studied the organic compound methylphosphonate that was proposed as a source of methane from the aerobic upper ocean; the biological source was long a mystery. When a methylphosphonate synthase was discovered by chemical biologist Wilfred van der Donk and coworkers, part of the mystery was solved but the gene for this enzyme did not appear to be widespread. When Drennan and colleagues solved the structure of a methylphosphonate synthase; however, they discovered a sequence motif showing that the gene was, in fact, abundant in microbes that inhabit the upper ocean (15). This seminal finding is credited with resolving the oceanic methane paradox.

Radical-Based Chemistry in Ribonucleotide Reductases

Human RNR is an established chemotherapeutic target, and bacterial RNRs hold promise as antibiotic targets. So Drennan and her team have a longstanding interest in uncovering the mechanisms of RNRs. In 2002, her lab determined the structure of a B12-dependent RNR, which showed how cobalamin could be used to initiate radical chemistry (16). Nearly a decade later, Drennan’s team revealed how high levels of the nucleotide deoxyadenosine triphosphate (dATP) down-regulate RNR activity (17, 18). They subsequently provided structures showing the molecular basis of allosteric specificity, which maintains the proper ratios of RNA to DNA building blocks (19), and demonstrated the importance of RNR activity regulation (20).
An atomic-resolution structure of any RNR in an active state had been elusive for many years. Drennan and her team achieved the feat in 2020 when they trapped the active state of Escherichia coli RNR and determined its structure by cryoelectron microscopy (21). However, the resolution of the structure was too low for the visualization of water molecules believed to be critical in the radical transfer pathway.
In her IA, Drennan (1) describes how her team resolved the problem, presenting the structure of an active RNR at atomic resolution allowing for the visualization of water molecules. She explains, “This time, instead of using unnatural amino acids to trap the structure, we used a mechanism-based inhibitor. It was a very long road to get to these data, but it was worth the wait.”

“Superheroes of the Cell”

For her achievements, Drennan has received MIT’s Everett Moore Baker Memorial Award for Excellence in Undergraduate Teaching (2005, 2024), the Dorothy Crowfoot Hodgkin Award from The Protein Society (2020), and the William C. Rose Award from the American Society for Biochemistry and Molecular Biology (2023), among other honors. She has mentored nearly 100 undergraduates and dozens of graduate students and postdoctoral associates, many of whom are from underrepresented minority groups or disadvantaged backgrounds. She considers her students extended family members and takes pride in their accomplishments.
She and her team continue to work on RNR using the tools of structural biology. She says, “We want to obtain a deeper level of understanding of the human RNR, which is a cancer drug target. We also want to identify differences between the human enzyme and bacterial RNRs, differences that could be exploited in the development of new antibiotics.”
Beyond these efforts, Drennan’s overall goal is to understand how enzymes control radical species to enable challenging chemical reactions without damaging themselves or their cellular environment. “Radical enzymes are like the Avengers, powerful but with a high potential for collateral damage,” she explains. “I am fascinated by how nature catalyzes the most challenging of chemical reactions. The enzymes that do this work are the superheroes of the cell and I want to know their secrets.”
1.
D. E. Westmoreland et al., 2.6-Å resolution cryo-EM structure of a class Ia ribonucleotide reductase trapped with mechanism-based inhibitor N3CDP. Proc. Natl. Acad. Sci. U.S.A. 121, e2417157121 (2024). Crossref. PubMed.
2.
C. L. Drennan et al., How a protein binds B12: A 3.0 Å X-ray structure of B12-binding domains of methionine synthase. Science 266, 1669–1674 (1994). Crossref. PubMed.
3.
Y. Kung et al., Visualizing molecular juggling within a B12-dependent methyltransferase complex. Nature 484, 265–269 (2012). Crossref. PubMed.
4.
F. A. Vaccaro, D. A. Born, C. L. Drennan, Structure of metallochaperone in complex with the cobalamin-binding domain of its target mutase provides insight into cofactor delivery. Proc. Natl. Acad. Sci. U.S.A. 120, e2214085120 (2023). Crossref. PubMed.
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M. Jost et al., Structural basis for gene regulation by a B12-dependent photoreceptor. Nature 526, 536–541 (2015). Crossref. PubMed.
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F. Berkovitch et al., Crystal structure of biotin synthase, an S-Adenosylmethionine-dependent radical enzyme. Science 303, 76–79 (2004). Crossref. PubMed.
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J. L. Vey et al., Structural basis for glycyl radical formation by pyruvate formate-lyase activating enzyme. Proc. Natl. Acad. Sci. U.S.A. 105, 16137–16141 (2008). Crossref. PubMed.
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J. Bridwell-Rabb et al., A B12-dependent radical SAM enzyme involved in oxetanocin A biosynthesis. Nature 544, 322–326 (2017). Crossref. PubMed.
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P. J. Goldman, T. L. Grove, S. J. Booker, C. L. Drennan, X-ray analysis of butirosin biosynthetic enzyme BtrN redefines structural motifs for AdoMet radical chemistry. Proc. Natl. Acad. Sci. U.S.A. 40, 15949–15954 (2013). Crossref.
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M. I. McLaughlin et al., Crystallographic snapshots of sulfur insertion by lipoyl synthase. Proc. Natl. Acad. Sci. U.S.A. 113, 9446–9450 (2016). Crossref. PubMed.
11.
L. C. Blasiak, F. H. Vaillancourt, C. T. Walsh, C. L. Drennan, Crystal structure of the non-haem iron halogenase SyrB2 in syringomycin biosynthesis. Nature 440, 368–371 (2006). Crossref. PubMed.
12.
C. L. Drennan et al., Life on carbon monoxide: X-ray structure of Rhodospirillum rubrum Ni-Fe-S carbon monoxide dehydrogenase. Proc. Natl. Acad. Sci. U.S.A. 98, 11973–11978 (2001). Crossref. PubMed.
13.
T. I. Doukov et al., A Ni-Fe-Cu center in a bifunctional carbon monoxide dehydrogenase/acetyl-CoA synthase. Science 298, 567–572 (2002). Crossref. PubMed.
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E. C. Wittenborn et al., Redox-dependent rearrangements of the NiFeS cluster of carbon monoxide dehydrogenase. Elife 7, e39451 (2018). Crossref. PubMed.
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D. A. Born et al., Structural basis for methylphosphonate biosynthesis. Science 358, 1336–1339 (2017). Crossref. PubMed.
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M. D. Sintchak et al., The crystal structure of class II ribonucleotide reductase reveals how an allosterically regulated monomer mimics a dimer. Nat. Struct. Mol. Biol. 9, 293–300 (2002). Crossref.
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N. Ando et al., Structural interconversions modulate activity of Escherichia coli ribonucleotide reductase. Proc. Natl. Acad. Sci. U.S.A. 108, 21046–21051 (2011). Crossref. PubMed.
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N. Ando et al., Allosteric inhibition of human ribonucleotide reductase by dATP entails the stabilization of a hexamer. Biochemistry 55, 373–381 (2016). Crossref. PubMed.
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C. M. Zimanyi et al., Molecular basis for allosteric specificity regulation in class Ia ribonucleotide reductase from Escherichia coli. Elife 5, e07141 (2016). Crossref. PubMed.
20.
P.Y.-T. Chen, M. A. Funk, E. J. Brignole, C. L. Drennan, Disruption of an oligomeric interface prevents allosteric inhibition of Escherichia coli class Ia ribonucleotide reductase. J. Biol. Chem. 293, 10404–10412 (2018). Crossref. PubMed.
21.
G. Kang, A. T. Taguchi, J. Stubbe, C. L. Drennan, Structure of a trapped radical transfer pathway within a ribonucleotide reductase holocomplex. Science 368, 424–427 (2020). Crossref. PubMed.
A new approach to modeling complex biological systems

MIT engineers’ new model could help researchers glean insights from genomic data and other huge datasets. This is potentially critical to researchers who study any kind of complex biological system, according to senior author Douglas Lauffenburger.

Anne Trafton | MIT News
November 5, 2024

Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and cytometry can produce enormous quantities of data from a given cellular or multicellular system.

However, making sense of this information is not always easy. This is especially true when trying to analyze complex systems such as the cascade of interactions that occur when the immune system encounters a foreign pathogen.

MIT biological engineers have now developed a new computational method for extracting useful information from these datasets. Using their new technique, they showed that they could unravel a series of interactions that determine how the immune system responds to tuberculosis vaccination and subsequent infection.

This strategy could be useful to vaccine developers and to researchers who study any kind of complex biological system, says Douglas Lauffenburger, the Ford Professor of Engineering in the departments of Biological Engineering, Biology, and Chemical Engineering.

“We’ve landed on a computational modeling framework that allows prediction of effects of perturbations in a highly complex system, including multiple scales and many different types of components,” says Lauffenburger, the senior author of the new study.

Shu Wang, a former MIT postdoc who is now an assistant professor at the University of Toronto, and Amy Myers, a research manager in the lab of University of Pittsburgh School of Medicine Professor JoAnne Flynn, are the lead authors of a new paper on the work, which appears today in the journal Cell Systems.

Modeling complex systems

When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants a cell carries, while analyzing messenger RNA transcripts tells them which genes are being expressed in a given cell. Using proteomics, researchers can measure the proteins found in a cell or biological system, and cytometry allows them to quantify a myriad of cell types present.

Using computational approaches such as machine learning, scientists can use this data to train models to predict a specific output based on a given set of inputs — for example, whether a vaccine will generate a robust immune response. However, that type of modeling doesn’t reveal anything about the steps that happen in between the input and the output.

“That AI approach can be really useful for clinical medical purposes, but it’s not very useful for understanding biology, because usually you’re interested in everything that’s happening between the inputs and outputs,” Lauffenburger says. “What are the mechanisms that actually generate outputs from inputs?”

To create models that can identify the inner workings of complex biological systems, the researchers turned to a type of model known as a probabilistic graphical network. These models represent each measured variable as a node, generating maps of how each node is connected to the others.

Probabilistic graphical networks are often used for applications such as speech recognition and computer vision, but they have not been widely used in biology.

Lauffenburger’s lab has previously used this type of model to analyze intracellular signaling pathways, which required analyzing just one kind of data. To adapt this approach to analyze many datasets at once, the researchers applied a mathematical technique that can filter out any correlations between variables that are not directly affecting each other. This technique, known as graphical lasso, is an adaptation of the method often used in machine learning models to strip away results that are likely due to noise.

“With correlation-based network models generally, one of the problems that can arise is that everything seems to be influenced by everything else, so you have to figure out how to strip down to the most essential interactions,” Lauffenburger says. “Using probabilistic graphical network frameworks, one can really boil down to the things that are most likely to be direct and throw out the things that are most likely to be indirect.”

Mechanism of vaccination

To test their modeling approach, the researchers used data from studies of a tuberculosis vaccine. This vaccine, known as BCG, is an attenuated form of Mycobacterium bovis. It is used in many countries where TB is common but isn’t always effective, and its protection can weaken over time.

In hopes of developing more effective TB protection, researchers have been testing whether delivering the BCG vaccine intravenously or by inhalation might provoke a better immune response than injecting it. Those studies, performed in animals, found that the vaccine did work much better when given intravenously. In the MIT study, Lauffenburger and his colleagues attempted to discover the mechanism behind this success.

The data that the researchers examined in this study included measurements of about 200 variables, including levels of cytokines, antibodies, and different types of immune cells, from about 30 animals.

The measurements were taken before vaccination, after vaccination, and after TB infection. By analyzing the data using their new modeling approach, the MIT team was able to determine the steps needed to generate a strong immune response. They showed that the vaccine stimulates a subset of T cells, which produce a cytokine that activates a set of B cells that generate antibodies targeting the bacterium.

“Almost like a roadmap or a subway map, you could find what were really the most important paths. Even though a lot of other things in the immune system were changing one way or another, they were really off the critical path and didn’t matter so much,” Lauffenburger says.

The researchers then used the model to make predictions for how a specific disruption, such as suppressing a subset of immune cells, would affect the system. The model predicted that if B cells were nearly eliminated, there would be little impact on the vaccine response, and experiments showed that prediction was correct.

This modeling approach could be used by vaccine developers to predict the effect their vaccines may have, and to make tweaks that would improve them before testing them in humans. Lauffenburger’s lab is now using the model to study the mechanism of a malaria vaccine that has been given to children in Kenya, Ghana, and Malawi over the past few years.

“The advantage of this computational approach is that it filters out many biological targets that only indirectly influence the outcome and identifies those that directly regulate the response. Then it’s possible to predict how therapeutically altering those biological targets would change the response. This is significant because it provides the basis for future vaccine and trial designs that are more data driven,” says Kathryn Miller-Jensen, a professor of biomedical engineering at Yale University, who was not involved in the study.

Lauffenburger’s lab is also using this type of modeling to study the tumor microenvironment, which contains many types of immune cells and cancerous cells, in hopes of predicting how tumors might respond to different kinds of treatment.

The research was funded by the National Institute of Allergy and Infectious Diseases.