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Monday, January 15th, 2018

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    3:00p
    Biologists’ new peptide could fight many cancers

    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.

    3:00p
    Study: Rhythmic interactions between cortical layers underlie working memory

    Working memory is a sort of “mental sketchpad” that allows you to accomplish everyday tasks such as calling in your hungry family’s takeout order and finding the bathroom you were just told “will be the third door on the right after you walk straight down that hallway and make your first left.” It also allows your mind to go from merely responding to your environment to consciously asserting your agenda.

    “Working memory allows you to choose what to pay attention to, choose what you hold in mind, and choose when to make decisions and take action,” says Earl K. Miller, the Picower Professor in MIT’s Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences. “It’s all about wresting control from the environment to your own self. Once you have something like working memory, you go from being a simple creature that’s buffeted by the environment to a creature that can control the environment.”

    For years Miller has been curious about how working memory — particularly the volitional control of it — actually works. In a new study in the Proceedings of the National Academy of Sciences led by Picower Institute postdoc Andre Bastos, Miller's lab shows that the underlying mechanism depends on different frequencies of brain rhythms synchronizing neurons in distinct layers of the prefrontal cortex (PFC), the area of the brain associated with higher cognitive function. As animals performed a variety of working memory tasks, higher-frequency gamma rhythms in superficial layers of the PFC were regulated by lower-frequency alpha/beta frequency rhythms in deeper cortical layers.

    The findings suggest not only a general model of working memory, and the volition that makes it special, but also new ways that clinicians might investigate conditions such as schizophrenia where working memory function appears compromised.

    Layers of waves

    To conduct the study, Bastos worked from several lines of evidence and with some relatively new technology. Last year, for example, co-author and Picower Institute postdoc Mikael Lundqvist led a study showing that gamma waves perked up in power when sensory (neuroscientists call it “bottom-up”) information was loaded into and read out from working memory. In previous work, Miller, Bastos, and their colleagues had found that alpha/beta rhythms appeared to carry “top-down” information about goals and plans within the cortex. Top-down information is what we use to make volitional decisions about what to think about or how to act, Miller says.

    The current study benefitted from newly improved multilayer electrode brain sensors that few groups have applied in cognitive, rather than sensory, areas of the cortex. Bastos realized that if he made those measurements, he and Miller could determine whether deep alpha/beta and superficial gamma might interact for volitional control of working memory.

    In the lab Bastos and his co-authors, including graduate students Roman Loonis and Simon Kornblith, made multilayer measurements in six areas of the PFC as animals performed three different working memory tasks.

    In different tasks, animals had to hold a picture in working memory to subsequently choose a picture that matched it. In another type of task, the animals had to remember the screen location of a briefly flashed dot. Overall, the tasks asked the subjects to store, process, and then discard from working memory the appearance or the position of visual stimuli.

    “Combining data across the tasks and the areas does lead to additional weight for the evidence,” Bastos says.

    A mechanism for working memory

    Across all the PFC areas and all tasks, the data showed the same thing: When sensory information was loaded into working memory, the gamma rhythms in superficial layers increased and the alpha/beta rhythms in deep layers that carried the top-down information decreased. Conversely, when deep-layer alpha/beta rhythms increased, superficial layer gamma waned. Subsequent statistical analysis suggested that gamma was being controlled by alpha and beta rhythms, rather than the other way around.

    “This suggests mechanisms by which the top-down information needed for volitional control, carried by alpha/beta rhythms, can turn on and off the faucet of bottom-up sensory information, carried by gamma, that reaches working memory and is held in mind,” Miller says.

    With these insights, the team has since worked to directly test this multilayer, multifrequency model of working memory dynamics more explicitly, with results in press but not yet published.

    Charles Schroeder, research scientist and section head in the Center for Biomedical Imaging and Neuromodulation at the Nathan S. Kline Institute for Psychiatric Research, describes two contributions of the study as empirically important.

    “First, the paper clearly shows that critical cognitive operations (in this case working memory) are underlain by periodic (oscillatory) network activity patterns in the brain, and that these must be addressed by single trial analysis,” Schroeder says. “This provides an important conceptual alternative to the idea that working memory must involve continuous neural activation. Secondly, the findings strongly reinforce the notion that dynamic coupling across high- and low-frequency ranges performs a clear mechanistic function: Lower frequency activity dominant in the lower layers of the prefrontal area network controls the temporal patterning of higher frequency information representation in the superficial layers of the same network of areas. The important conceptual innovation in this case lies in allowing lower frequency control operations to act directly on higher frequency information representation within each cortical area.”

    Bastos says the model could be useful for generating hypotheses about clinical working memory deficits. Aberrations of deep-layer beta rhythms, for example, could lead to a lessened ability to control working memory for goal-directed action. “In a schizophrenia model or schizophrenia patients, is the interplay between beta and gamma lost?” he asks.

    The National Institute of Mental Health and the Office of Naval Research provided funding for the study.

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