Research Area: Computational Biology

Network of diverse noncoding RNAs acts in the brain

Scientists identify the first known network consisting of three types of regulatory RNAs.

Nicole Giese Rura | Whitehead Institute
June 7, 2018

Scientists at MIT’s Whitehead Institute have identified a highly conserved network of noncoding RNAs acting in the mammalian brain. While gene regulatory networks are well described, this is the first documented regulatory network comprised of three types of noncoding RNA: microRNA, long noncoding RNA, and circular RNA. The finding, which is described online this week in the journal Cell, expands our understanding of how several noncoding RNAs can interact to regulate each other.

This sophisticated network, which is conserved in placental mammals, intrigued Whitehead Member David Bartel, whose lab identified it.

“It has been quite an adventure to unravel the different elements of this network,” says Bartel, who is also a professor of biology at MIT and investigator with the Howard Hughes Medical Institute. “When we removed the long noncoding RNA, we saw huge increases in the microRNA, which, with the help of a second microRNA turned out to reduce the levels of the circular RNA.”

RNA may be best known for acting as a template during protein production, but most RNA molecules in the cell do not actually code for proteins. Many play fundamental roles in the splicing and translation of protein-coding RNAs, whereas others play regulatory roles. MicroRNAs, as the name would suggest, are small, about 22 nucleotides (nucleotides are the building blocks of RNA); long noncoding RNAs (lncRNAs) are longer than 200 nucleotides; and circular RNAs (circRNAs) are looped RNAs formed by atypical splicing of either lncRNAs or protein-coding RNAs. These three types of noncoding RNAs have been shown previously to be vital for controlling protein-coding gene expression, and in some instances their dysregulation is linked to cancer or other diseases.

Previous work by Bartel and Whitehead member and MIT Professor Hazel Sive identified hundreds of lncRNAs conserved in vertebrate animals, including Cyrano, which contains an unusual binding site for the microRNA miR-7.

In the current research, Ben Kleaveland, a postdoc in Bartel’s lab and first author of the Cell paper, delves into Cyrano’s function in mice. His results are surprising: a regulatory network centered on four noncoding RNAs — a lncRNA, a circRNA, and two microRNAs — acting in mammalian neurons. The network employs multiple interactions between these noncoding RNAs to ultimately ensure that the levels of one microRNA, miR-7, are kept extremely low and the levels of one circRNA, Cdr1as, are kept high.

Several aspects of this highly tuned network are unique. The lncRNA Cyrano targets miR-7 for degradation. Cyrano is exceptionally efficient, and in some cells, reduces miR-7 by an astounding 98 percent — a stronger effect than scientists have ever documented for this phenomenon, called target RNA-directed microRNA degradation. In the described network, unchecked miR-7 indirectly leads to degradation of the circRNA Cdr1as. CircRNAs such as this one are usually highly stable because the RNA degradation machinery needs to latch onto the end of an RNA molecule before the machinery can operate. In the case of Cdr1as, the circRNA contains a prodigious number of sites that can interact with miR-7: 130 in mice and 73 in humans. As these sites are bound by miR-7, another microRNA, miR-671, springs into action and directs slicing of the Cdr1as. This renders Cdr1as vulnerable to degradation.

The network’s precise function still eludes researchers, but evidence suggests that it may be important in brain function. All four components of the network are enriched in the brain, particularly in neurons, and recently, Cdr1as has been reported to influence neuronal activity in mice.

“We’re in the early stages of understanding this network, and there’s so much left to discover,” Kleaveland says. “Our current hypothesis is that Cdr1as is not only regulated by miR-7 but also facilitates miR-7 function by delivering this microRNA to neuronal synapses.”

This work was supported by the National Institutes of Health and the Howard Hughes Medical Institute.

Computing changes in cell fate

Meena Chakraborty ’19 has spent two years in the lab of Nobel Prize winner Philip Sharp, combining computer science and wet lab techniques to study the impact of microRNAs on gene expression.

Raleigh McElvery
May 2, 2018

When Meena Chakraborty was eleven years old, her parents took her to South Africa to show her what life was like outside her hometown of Lexington, Massachusetts. The trip was first and foremost a family vacation, but what struck Chakraborty, now a junior at MIT, was neither the sights nor safaris, but their visit to a children’s hospital. Looking back, she identifies that experience as the catalyst that spurred her current career path, centered on three years of biology research with implications for human health.

“I remember being astounded that the patients there were my age,” she says. “I had all these things in my life to look forward to, while they were fighting HIV and might not survive. That’s when I started thinking that I could do something to counter disease, and studying biology seemed like the best way to do that.”

Up until that point, she’d intended to be a writer. So when it came time to choose a college, she initially shied away from MIT, fearing it would be too “tech-focused.”

“Even though I was primarily interested in biology, I still wanted diversity in terms of the academic subjects and the people around me,” she says. “But it became clear that MIT really encourages you to step outside your major. Every undergrad has to complete a Humanities, Arts, or Social Sciences concentration, and I chose philosophy. Those classes have become a staple of my undergrad experience, and allowed me to keep in touch with my love for writing while still focusing on my science.”

Given her propensity for math, she declared Course 6-7 (Computer Science and Molecular Biology), as a means to develop analytical tools to decipher large data sets and better understand biological systems. The summer after her freshman year, she had her first chance to marry these two skills in a real-world setting: she began working in the lab of Nobel Prize winner Philip Sharp, located in the Koch Institute for Integrative Cancer Research.

This was her first foray into computational biology, but it wasn’t her first time at the Koch — she’d shadowed two graduates students in the Irvine lab for a summer as a junior in high school. This time, though, as an undergraduate, she was assigned her own project, under the guidance of postdoctoral fellow Salil Garg. Together, they’ve studied a type of RNA known as microRNA (miRNA) for the past two years.

Messenger RNA (mRNA) — perhaps the most well-known of the RNAs — constitutes the intermediate step between DNA and the final product of gene expression: the protein. In contrast, miRNAs are never translated into proteins. Instead, they bind to complementary sequences in target mRNAs, preventing those mRNAs from being turned into proteins, and blocking gene expression.

This miRNA-directed silencing is widespread and complex. In some cases, miRNAs silence single genes. In others, multiple miRNAs coordinate to turn groups of genes on and off in concert, thereby controlling entire sets of genes that interact with one another.  For example, two years ago, Chakraborty’s mentor used computational methods to pinpoint a group of poorly expressed, understudied “nonclassical” miRNAs that appear to coordinate the expression of pluripotency genes. Pluripotency gene levels dictate the behavior and fate of embryonic stem cells — non-specialized cells awaiting instructions to “differentiate” and assume a particular cell type (skin cell, blood cell, neuron, and so on).

Chakraborty then used a technique known as fluorescence-activated cell sorting (FACS) to determine how nonclassical miRNAs affect gene expression in embryonic stem cells. She used a FACS assay to detect miRNA activity, engineering special DNA and inserting it into mouse embryonic stem cells. The DNA contained two genes: one encoding a red fluorescent protein with a place for miRNAs to bind, and another that makes a blue fluorescent protein and lacks this miRNA attachment site. When the miRNA binds to the gene expressing the red fluorescing protein, it is silenced, and the cell makes fewer red proteins compared to blue ones, whose production remains unhindered.

“We know when miRNAs are active, they will reduce the expression of the red florescent protein, but not the blue one,” she says. “And that’s precisely what we’ve seen with these nonclassical miRNAs, suggesting that they are active in the cell.”

Chakraborty is excited about what this finding could mean for cancer research. A growing number of studies have shown that some cancers arise when miRNAs fail to help embryonic stem cells interconvert between cell states.

Although she spends anywhere from four to 20 hours a week in lab, Chakraborty hasn’t lost sight of her extracurriculars. As co-president of the Biology Undergraduate Student Association, she serves as a liaison between biology students and faculty, coordinating events to connect the two. As the discussion chair for the Effective Altruism Club, she promotes dialogue between student club members regarding charities — how these organizations can maximize their donations, and how the public should decide which ones to support. As a volunteer for the non-profit Help at Your Door, she inputs grocery lists from senior citizens and disabled individuals into a computer program, and then coordinates with community members to deliver the specified order.

Last summer, she was accepted into the Johnson & Johnson UROP Scholars Program, joining approximately 20 fellow undergraduate women in STEM research at MIT during the summer term. Her cohort attended faculty presentations, workshops, and networking events geared towards post-graduate careers in the sciences.

“I really appreciated that program, because I think a lot of women are afraid of science due to societal norms,” she says. “I remember originally thinking I wouldn’t be good at computer science or math, and now here I am combining both skills with wet lab techniques in my research.”

Most recently, Chakraborty was a recipient of the 2017-2018 Barry Goldwater Scholarship Award, selected from a nationwide field of candidates nominated by university faculty. She will also remain on campus this coming summer to conduct faculty-mentored research as part of the MIT Amgen Scholars Program.

After she graduates in 2019, Chakraborty intends to pursue a PhD in a biology-related discipline, perhaps computational biology. After that, the options are endless — professor, consultant, research scientist. She’s still weighing the possibilities, and doesn’t seem too concerned about selecting one just yet.

“I know I’m going in the right direction, because it hits me every time I finish a challenging assignment or whenever I figure out a new approach in the lab,” she says. “When I complete a task like that with the help of friends and mentors, there’s this sense of pride and a feeling that I can’t believe how much I’ve learned in just once semester. The way my brain considers problems and finds solutions is just so different from the way it was three years ago when I first started out as a freshman.”

Photo credit: Raleigh McElvery
Single-cell database to propel biological studies

Whitehead team analyzes transcriptomes for roughly 70,000 cells in planarians, creates publicly available database to drive further research.

Nicole Davis | Whitehead Institute
April 20, 2018

A team at Whitehead Institute and MIT has harnessed single-cell technologies to analyze over 65,000 cells from the regenerative planarian flatworm, Schmidtea mediterranea, revealing the complete suite of actives genes (or “transcriptome”) for practically every type of cell in a complete organism. This transcriptome atlas represents a treasure trove of biological information on planarians, which is the subject of intense study in part because of its unique ability to regrow lost or damaged body parts. As described in the April 19 advance online issue of the journal Science, this new, publicly available resource has already fueled important discoveries, including the identification of novel planarian cell types, the characterization of key transition states as cells mature from one type to another, and the identity of new genes that could impart positional cues from muscles cells — a critical component of tissue regeneration.

“We’re really at the beginning of an amazing era,” says senior author Peter Reddien, a member of Whitehead Institute, professor of biology at MIT, and investigator with the Howard Hughes Medical Institute. “Just as genome sequences became indispensable resources for studying the biology of countless organisms, analyzing the transcriptomes of every cell type will become another fundamental tool — not just for planarians, but for many different organisms.”

The ability to systematically reveal which genes in the genome are active within an individual cell flows from a critical technology known as single-cell RNA sequencing. Recent advances in the technique have dramatically reduced the per-cell cost, making it feasible for a single laboratory to analyze a suitably large number of cells to capture the cell type diversity present in complex, multi-cellular organisms.

Reddien has maintained a careful eye on the technology from its earliest days because he believed it offered an ideal way to unravel planarian biology. “Planarians are relatively simple, so it would be theoretically possible for us to capture every cell type. Yet they still have a sufficiently large number of cells — including types we know little or even nothing about,” he explains. “And because of the unusual aspects of planarian biology — essentially, adults maintain developmental information and progenitor cells that in other organisms might be present transiently only in embryos — we could capture information about mature cells, progenitor cells, and information guiding cell decisions by sampling just one stage, the adult.”

Two and a half years ago, Reddien and his colleagues — led by first author Christopher Fincher, a graduate student in Reddien’s laboratory — set out to apply single-cell RNA sequencing systematically to planarians. The group isolated individual cells from five regions of the animal and gathered data from a total of 66,783 cells. The results include transcriptomes for rare cell types, such as those that comprise on the order of 10 cells out of an adult animal that consists of roughly 500,000 to 1 million cells.

In addition, the researchers uncovered some cell types that have yet to be described in planarians, as well cell types common to many organisms, making the atlas a valuable tool across the scientific community. “We identified many cells that were present widely throughout the animal, but had not been previously identified. This surprising finding highlights the great value of this approach in identifying new cells, a method that could be applied widely to many understudied organisms,” Fincher says.

“One main important aspect of our transcriptome atlas is its utility for the scientific community,” Reddien says. “Because many of the cell types present in planarians emerged long ago in evolution, similar cells still exist today in various organisms across the planet. That means these cell types and the genes active within them can be studied using this resource.”

The Whitehead team also conducted some preliminary analyses of their atlas, which they’ve dubbed “Planarian Digiworm.” For example, they were able to discern in the transcriptome data a variety of transition states that reflect the progression of stem cells into more specialized, differentiated cell types. Some of these cellular transition states have been previously analyzed in painstaking detail, thereby providing an important validation of the team’s approach.

In addition, Reddien and his colleagues knew from their own prior, extensive research that there is positional information encoded in adult planarian muscle — information that is required not only for the general maintenance of adult tissues but also for the regeneration of lost or damaged tissue. Based on the activity pattern of known genes, they could determine roughly which positions the cells had occupied in the intact animal, and then sort through those cells’ transcriptomes to identify new genes that are candidates for transmitting positional information.

“There are an unlimited number of directions that can now be taken with these data,” Reddien says. “We plan to extend our initial work, using further single-cell analyses, and also to mine the transcriptome atlas for addressing important questions in regenerative biology. We hope many other investigators find this to be a very valuable resource, too.”

This work was supported by the National Institutes of Health, the Howard Hughes Medical Institute, and the Eleanor Schwartz Charitable Foundation.

Scientists find different cell types contain the same enzyme ratios

New discovery suggests that all life may share a common design principle.

Justin Chen | Department of Biology
March 29, 2018

By studying bacteria and yeast, researchers at MIT have discovered that vastly different types of cells still share fundamental similarities, conserved across species and refined over time. More specifically, these cells contain the same proportion of specialized proteins, known as enzymes, which coordinate chemical reactions within the cell.

To grow and divide, cells rely on a unique mixture of enzymes that perform millions of chemical reactions per second. Many enzymes, working in relay, perform a linked series of chemical reactions called a “pathway,” where the products of one chemical reaction are the starting materials for the next. By making many incremental changes to molecules, enzymes in a pathway perform vital functions such as turning nutrients into energy or duplicating DNA.

For decades, scientists wondered whether the relative amounts of enzymes in a pathway were tightly controlled in order to better coordinate their chemical reactions. Now, researchers have demonstrated that cells not only produce precise amounts of enzymes, but that evolutionary pressure selects for a preferred ratio of enzymes. In this way, enzymes behave like ingredients of a cake that must be combined in the correct proportions and all life may share the same enzyme recipe.

“We still don’t know why this combination of enzymes is ideal,” says Gene-Wei Li, assistant professor of biology at MIT, “but this question opens up an entirely new field of biology that we’re calling systems level optimization of pathways. In this discipline, researchers would study how different enzymes and pathways behave within the complex environment of the cell.”

Li is the senior author of the study, which appears online in the journal Cell on March 29, and in print on April 19. The paper’s lead author, Jean-Benoît Lalanne, is a graduate student in the MIT Department of Physics.

An unexpected observation

For more than 100 years, biologists have studied enzymes by watching them catalyze chemical reactions in test tubes, and — more recently — using X-rays to observe their molecular structure.

And yet, despite years of work describing individual proteins in great detail, scientists still don’t understand many of the basic properties of enzymes within the cell. For example, it is not yet possible to predict the optimal amount of enzyme a cell should make to maximize its chance of survival.

The calculation is tricky because the answer depends not only on the specific function of the enzyme, but also how its actions may have a ripple effect on other chemical reactions and enzymes within the cell.

“Even if we know exactly what an enzyme does,” Li says, “we still don’t have a sense for how much of that protein the cell will make. Thinking about biochemical pathways is even more complicated. If we gave biochemists three enzymes in a pathway that, for example, break down sugar into energy, they would probably not know how to mix the proteins at the proper ratios to optimize the reaction.”

The study of the relative amounts of substances — including proteins — is known as “stoichiometry.” To investigate the stoichiometry of enzymes in different types of cells, Li and his colleagues analyzed three different species of bacteria — Escherichia coli, Bacillus subtilis, and Vibrio natriegens — as well as the budding yeast Saccharomyces cerevisiae. Among these cells, scientists compared the amount of enzymes in 21 pathways responsible for a variety of tasks including repairing DNA, constructing fatty acids, and converting sugar to energy. Because these species of yeast and bacteria have evolved to live in different environments and have different cellular structures, such as the presence or lack of a nucleus, researchers were surprised to find that all four cells types had nearly identical enzyme stoichiometry in all pathways examined.

Li’s team followed up their unexpected results by detailing how bacteria achieve a consistent enzyme stoichiometry. Cells control enzyme production by regulating two processes. The first, transcription, converts the information contained in a strand of DNA into many copies of messenger RNA (mRNA). The second, translation, occurs as ribosomes decode the mRNAs to construct proteins. By analyzing transcription across all three bacterial species, Li’s team discovered that the different bacteria produced varying amounts of mRNA encoding for enzymes in a pathway.

Different amounts of mRNA theoretically lead to differences in protein production, but the researchers found instead that the cells adjusted their rates of translation to compensate for changes in transcription. Cells that produced more mRNA slowed their rates of protein synthesis, while cells that produced less mRNA increased the speed of protein synthesis. Thanks to this compensation, the stoichiometry of enzymes remained constant across the different bacteria.

“It is remarkable that E. coli and B. subtilis need the same relative amount of the corresponding proteins, as seen by the compensatory variations in transcription and translation efficiencies,” says Johan Elf, professor of physical biology at Uppsala University in Sweden. “These results raise interesting questions about how enzyme production in different cells have evolved.”

“Examining bacterial gene clusters was really striking,” lead author Lalanne says. “Over a long evolutionary history, these genes have shifted positions, mutated into different sequences, and been bombarded by mobile pieces of DNA that randomly insert themselves into the genome. Despite all this, the bacteria have compensated for these changes by adjusting translation to maintain the stoichiometry of their enzymes. This suggests that evolutionary forces, which we don’t yet understand, have shaped cells to have the same enzyme stoichiometry.”

Searching for the stoichiometry regulating human health

In the future, Li and his colleagues will test whether their findings in bacteria and yeast extend to humans. Because unicellular and multicellular organisms manage energy and nutrients differently, and experience different selection pressures, researchers are not sure what they will discover.

“Perhaps there will be enzymes whose stoichiometry varies, and a smaller subset of enzymes whose levels are more conserved,” Li says. “This would indicate that the human body is sensitive to changes in specific enzymes that could make good drug targets. But we won’t know until we look.”

Beyond the human body, Li and his team believe that it is possible to find simplicity underlying the complex bustle of molecules within all cells. Like other mathematical patterns in nature, such as the the spiral of seashells or the branching pattern of trees, the stoichiometry of enzymes may be a widespread design principle of life.

The research was funded by the National Institutes of Health, Pew Biomedical Scholars Program, Sloan Research Fellowship, Searle Scholars Program, National Sciences and Engineering Research Council of Canada, Howard Hughes Medical Institute, National Science Foundation, Helen Hay Whitney Foundation, Jane Coffin Childs Memorial Fund, and the Smith Family Foundation.

Biologists’ new peptide could fight many cancers

Drug that targets a key cancer protein could combat leukemia and other types of cancer.

Anne Trafton | MIT News Office
January 15, 2018

MIT biologists have designed a new peptide that can disrupt a key protein that many types of cancers, including some forms of lymphoma, leukemia, and breast cancer, need to survive.

The new peptide targets a protein called Mcl-1, which helps cancer cells avoid the cellular suicide that is usually induced by DNA damage. By blocking Mcl-1, the peptide can force cancer cells to undergo programmed cell death.

“Some cancer cells are very dependent on Mcl-1, which is the last line of defense keeping the cell from dying. It’s a very attractive target,” says Amy Keating, an MIT professor of biology and one of the senior authors of the study.

Peptides, or small protein fragments, are often too unstable to use as drugs, but in this study, the researchers also developed a way to stabilize the molecules and help them get into target cells.

Loren Walensky, a professor of pediatrics at Harvard Medical School and a physician at Dana-Farber Cancer Institute, is also a senior author of the study, which appears in the Proceedings of the National Academy of Sciences the week of Jan. 15. Researchers in the lab of Anthony Letai, an associate professor of medicine at Harvard Medical School and Dana-Farber, were also involved in the study, and the paper’s lead author is MIT postdoc Raheleh Rezaei Araghi.

A promising target

Mcl-1 belongs to a family of five proteins that play roles in controlling programmed cell death, or apoptosis. Each of these proteins has been found to be overactive in different types of cancer. These proteins form what is called an “apoptotic blockade,” meaning that cells cannot undergo apoptosis, even when they experience DNA damage that would normally trigger cell death. This allows cancer cells to survive and proliferate unchecked, and appears to be an important way that cells become resistant to chemotherapy drugs that damage DNA.

“Cancer cells have many strategies to stay alive, and Mcl-1 is an important factor for a lot of acute myeloid leukemias and lymphomas and some solid tissue cancers like breast cancers. Expression of Mcl-1 is upregulated in many cancers, and it was seen to be upregulated as a resistance factor to chemotherapies,” Keating says.

Many pharmaceutical companies have tried to develop drugs that target Mcl-1, but this has been difficult because the interaction between Mcl-1 and its target protein occurs in a long stretch of 20 to 25 amino acids, which is difficult to block with the small molecules typically used as drugs.

Peptide drugs, on the other hand, can be designed to bind tightly with Mcl-1, preventing it from interacting with its natural binding partner in the cell. Keating’s lab spent many years designing peptides that would bind to the section of Mcl-1 involved in this interaction — but not to other members of the protein family.

Once they came up with some promising candidates, they encountered another obstacle, which is the difficulty of getting peptides to enter cells.

“We were exploring ways of developing peptides that bind selectively, and we were very successful at that, but then we confronted the problem that our short, 23-residue peptides are not promising therapeutic candidates primarily because they cannot get into cells,” Keating says.

To try to overcome this, she teamed up with Walensky’s lab, which had previously shown that “stapling” these small peptides can make them more stable and help them get into cells. These staples, which consist of hydrocarbons that form crosslinks within the peptides, can induce normally floppy proteins to assume a more stable helical structure.

Keating and colleagues created about 40 variants of their Mcl-1-blocking peptides, with staples in different positions. By testing all of these, they identified one location in the peptide where putting a staple not only improves the molecule’s stability and helps it get into cells, but also makes it bind even more tightly to Mcl-1.

“The original goal of the staple was to get the peptide into the cell, but it turns out the staple can also enhance the binding and enhance the specificity,” Keating says. “We weren’t expecting that.”

Killing cancer cells

The researchers tested their top two Mcl-1 inhibitors in cancer cells that are dependent on Mcl-1 for survival. They found that the inhibitors were able to kill these cancer cells on their own, without any additional drugs. They also found that the Mcl-1 inhibitors were very selective and did not kill cells that rely on other members of the protein family.

Keating says that more testing is needed to determine how effective the drugs might be in combating specific cancers, whether the drugs would be most effective in combination with others or on their own, and whether they should be used as first-line drugs or when cancers become resistant to other drugs.

“Our goal has been to do enough proof-of-principle that people will accept that stapled peptides can get into cells and act on important targets. The question now is whether there might be any animal studies done with our peptide that would provide further validation,” she says.

Joshua Kritzer, an associate professor of chemistry at Tufts University, says the study offers evidence that the stapled peptide approach is worth pursuing and could lead to new drugs that interfere with specific protein interactions.

“There have been a lot of biologists and biochemists studying essential interactions of proteins, with the justification that with more understanding of them, we would be able to develop drugs that inhibit them. This work now shows a direct line from biochemical and biophysical understanding of protein interactions to an inhibitor,” says Kritzer, who was not involved in the research.

Keating’s lab is also designing peptides that could interfere with other relatives of Mcl-1, including one called Bfl-1, which has been less studied than the other members of the family but is also involved in blocking apoptosis.

The research was funded by the Koch Institute Dana-Farber Bridge Project and the National Institutes of Health.

Douglas Lauffenburger

Education

  • PhD, 1979, University of Minnesota
  • BS, 1975, Chemical Engineering, University of Illinois, Urbana-Champaign

Research Summary

The Lauffenburger laboratory emphasizes integration of experimental and mathematical/computational analysis approaches, toward development and validation of predictive models for physiologically-relevant behavior in terms of underlying molecular and molecular network properties. Our work has been recognized as providing contributions fostering the interface of bioengineering, quantitative cell biology, and systems biology. Our main focus has been on fundamental aspects of cell dysregulation, complemented by translational efforts in identifying and testing new therapeutic ideas. Applications addressed have chiefly resided in various types of cancer (including breast, colon, lung, and pancreatic cancers along with leukemias and lymphomas), inflammatory pathologies (such as endometriosis, Crohn’s disease, colitis, rheumatoid arthritis, and Alzheimer’s disease), and the immune system (mainly for vaccines against pathogens such as HIV, malaria, and tuberculosis). We have increasingly emphasized complex tissue contexts, including mouse models, human subjects, and tissue-engineered micro-physiological systems platforms in association with outstanding collaborators. From our laboratory have come more than 100 doctoral and postdoctoral trainees. Many hold faculty positions at academic institutions in the USA, Canada, and Europe; others have gone on to research positions in biotechnology and pharmaceutical companies; and others yet have moved into policy and government agency careers.

Awards

  • Bernard M. Gordon Prize for Innovation in Engineering and Technology Education, National Academy of Engineering, 2021
  • American Association for the Advancement of Science, Member, 2019
  • American Academy of Arts and Sciences, Fellow, 2001
  • John Simon Guggenheim Memorial Foundation, Guggenheim Fellowship, 1989
Michael B. Yaffe

Education

  • PhD, 1987, Case Western Reserve University; MD, 1989, Case Western Reserve University
  • BS, 1981, Chemistry with Concentration in Solid-State and Polymer Physics, Cornell University

Research Summary

Our goal is to understand how signaling pathways are integrated at the molecular and systems levels to control cellular responses. We have two main focuses: First, we study signaling pathways and networks that control cell cycle progression and DNA damage responses in cancer and cancer therapy. Second, we examine the cross-talk between inflammation, cytokine signaling and cancer. Much of our work focuses on how modular protein domains and kinases work together to build molecular signaling circuits, and how this information can be used to design synergistic drug combinations for the personalized treatment of human disease.

Awards

  • MacVicar Faculty Fellow, 2021
  • Fellow, Association of American Physicians, 2021
  • Teaching with Digital Technology Award, 2018
Amy E. Keating

Education

  • PhD, 1998, University of California, Los Angeles
  • SB, 1992, Physics, Harvard University

Research Summary

Our goal is to understand, at a high level of detail, how the interaction properties of proteins are encoded in their sequences and structures. We investigate protein-protein interactions by integrating data from high throughput assays, structural modeling, and bioinformatics with biochemical and biophysical experiments. Much of our work focuses on α-helical coiled-coil proteins, Bcl-2 apoptosis-regulating proteins, and protein domains that bind to short linear motifs.

Gene-Wei Li

Education

  • PhD, 2010, Harvard University
  • SB, 2004, Physics, National Tsinghua University

Research Summary

We seek to understand the optimization of bacterial proteomes at both mechanistic and systems levels. Our work combines high-precision assays, genome-wide measurements, and quantitative/biophysical modeling. Ongoing projects focus on the design principles of transcription, translation, and RNA maturation machineries in the face of competing cellular processes.

Awards

  • Smith Odyssey Award, 2020
  • MIT Committed to Caring Award, 2020
  • NSF Career Award, 2019
  • Pew Biomedical Scholar, 2017
  • Smith Family Award for Excellence in Biomedical Research, 2017
  • NIGMS R35 Maximizing Investigator Research Award, 2017
  • Sloan Research Fellowship, 2016
  • Searle Scholar, 2016
  • NIH Pathway to Independence Award, 2013
Peter Reddien

Education

  • PhD, 2002, MIT
  • SB, 1996, Molecular Biology, University of Texas at Austin

Research Summary

We investigate how stem cells are regulated to regenerate missing tissues. We study the cellular events involved in this process and the attendant roles for regulatory genes that control regeneration steps. We utilize an array of methodologies, including high-throughput sequencing, RNA interference (RNAi) screening, and numerous assays and tools for phenotypic analysis to characterize regeneration regulatory genes.

Awards

  • Howard Hughes Medical Institute, HHMI Investigator, 2013