Research Area: Cell Biology

Manipulating time with torpor

New research from the Hrvatin Lab recently published in Nature Aging indicates that inducing a hibernation-like state in mice slows down epigenetic changes that accompany aging.

Shafaq Zia | Whitehead Institute
March 7, 2025

Surviving extreme conditions in nature is no easy feat. Many species of mammals rely on special adaptations called daily torpor and hibernation to endure periods of scarcity. These states of dormancy are marked by a significant drop in body temperature, low metabolic activity, and reduced food intake—all of which help the animal conserve energy until conditions become favorable again.

The lab of Whitehead Institute Member Siniša Hrvatin studies daily torpor, which lasts several hours, and its longer counterpart, hibernation, in order to understand their effects on tissue damage, disease progression, and aging. In their latest study, published in Nature Aging on March 7, first author Lorna Jayne, Hrvatin, and colleagues show that inducing a prolonged torpor-like state in mice slows down epigenetic changes that accompany aging.

“Aging is a complex phenomenon that we’re just starting to unravel,” says Hrvatin, who is also an assistant professor of biology at Massachusetts Institute of Technology. “Although the full relationship between torpor and aging remains unclear, our findings point to decreased body temperature as the central driver of this anti-aging effect.”

Tampering with the biological clock

Aging is a universal process, but scientists have long struggled to find a reliable metric for measuring it. Traditional clocks fall short because biological age doesn’t always align with chronology—cells and tissues in different organisms age at varying rates.

To solve this dilemma, scientists have turned to studying molecular processes that are common to aging across many species. This, in the past decade, has led to the development of epigenetic clocks, new computational tools that can estimate an organism’s age by analyzing the accumulation of epigenetic marks in cells over time.

Think of epigenetic marks as tiny chemical tags that cling either to the DNA itself or to the proteins, called histones, around which the DNA is wrapped. Histones act like spools, allowing long strands of DNA to coil around them, much like thread around a bobbin. When epigenetic tags are added to histones, they can compact the DNA, preventing genetic information from being read, or loosen it, making the information more accessible. When epigenetic tags attach directly to DNA, they can alter how the proteins that “read” a gene bind to the DNA.

While it’s unclear if epigenetic marks are a cause or consequence of aging, this much is evident: these marks change over an organism’s lifespan, altering how genes are turned on or off, without modifying the underlying DNA sequence. These changes have enabled researchers to track the biological age of individual cells and tissues using dedicated epigenetic clocks.

In nature, states of stasis like hibernation and daily torpor help animals survive by conserving energy and avoiding predators. But now, emerging research in marmots and bats hints that hibernation may also slow down epigenetic aging, prompting researchers to explore whether there’s a deeper connection between prolonged bouts of torpor and longevity.

However, investigating this link has been challenging, as the mechanisms that trigger, regulate, and sustain torpor remain largely unknown. In 2020, Hrvatin and colleagues made a breakthrough by identifying neurons in a specific region of the mouse hypothalamus, known as the avMLPA, which act as core regulators of torpor.

“This is when we realized that we could leverage this system to induce torpor and explore mechanistically how the state of torpor might have beneficial effects on aging,” says Jayne. “You can imagine how difficult it is to study this in natural hibernators because of accessibility and the lack of tools to manipulate them in sophisticated ways.”

The age-old mystery

The researchers began by injecting adeno-associated virus in mice, a gene delivery vehicle that enables scientists to introduce new genetic material into target cells. They employed this technology to instruct neurons in the mice’s avMLPA region to produce a special receptor called Gq-DREADD, which does not respond to the brain’s natural signals but can be chemically activated by a drug. When the researchers administered this drug to the mice, it bound to the Gq-DREADD receptors, activating the torpor-regulating neurons and triggering a drop in the animals’ body temperature.

However, to investigate the effects of torpor on longevity, the researchers needed to maintain these mice in a torpor-like state for days to weeks. To achieve this, the mice were continuously administered the drug through drinking water.

The mice were kept in a torpor-like state with periodic bouts of arousal for a total of nine months. The researchers measured the blood epigenetic age of these mice at the 3-, 6-, and 9-month marks using the mammalian blood epigenetic clock. By the 9-month mark, the torpor-like state had reduced blood epigenetic aging in these mice by approximately 37%, making them biologically three months younger than their control counterparts.

To further assess the effects of torpor on aging,  the group evaluated these mice using the mouse clinical frailty index, which includes measurements like tail stiffening, gait, and spinal deformity that are commonly associated with aging. As expected, mice in the torpor-like state had a lower frailty index compared to the controls.

With the anti-aging effects of the torpor-like state established, the researchers sought to understand how each of the key factors underlying torpor—decreased body temperature, low metabolic activity, and reduced food intake—contributed to longevity.

To isolate the effects of reduced metabolic rate, the researchers induced a torpor-like state in mice, while maintaining the animal’s normal body temperature. After three months, the blood epigenetic age of these mice was similar to that of the control group, suggesting that low metabolic rate alone does not slow down epigenetic aging.

Next, Hrvatin and colleagues isolated the impact of low caloric intake on blood epigenetic aging by restricting the food intake of mice in the torpor-like state, while maintaining their normal body temperature. After three months, these mice were a similar blood epigenetic age as the control group.

When both low metabolic rate and reduced food intake were combined, the mice still exhibited higher blood epigenetic aging after three months compared to mice in the torpor state with low body temperature. These findings, combined, led the researchers to conclude that neither low metabolic rate nor reduced caloric intake alone are sufficient to slow down blood epigenetic aging. Instead, a drop in body temperature is necessary for the anti-aging effects of torpor.

Although the exact mechanisms linking low body temperature and epigenetic aging are unclear, the team hypothesizes that it may involve the cell cycle, which regulates how cells grow and divide: lower body temperatures can potentially slow down cellular processes, including DNA replication and mitosis. This, over time, may impact cell turnover and aging. With further research, the Hrvatin Lab aims to explore this link in greater depth and shed light on the lingering mystery.

Kingdoms collide as bacteria and cells form captivating connections

Studying the pathogen R. parkeri, researchers discovered the first evidence of extensive and stable interkingdom contacts between a pathogen and a eukaryotic organelle.

Lillian Eden | Department of Biology
January 24, 2025

In biology textbooks, the endoplasmic reticulum is often portrayed as a distinct, compact organelle near the nucleus, and is commonly known to be responsible for protein trafficking and secretion. In reality, the ER is vast and dynamic, spread throughout the cell and able to establish contact and communication with and between other organelles. These membrane contacts regulate processes as diverse as fat metabolism, sugar metabolism, and immune responses.

Exploring how pathogens manipulate and hijack essential processes to promote their own life cycles can reveal much about fundamental cellular functions and provide insight into viable treatment options for understudied pathogens.

New research from the Lamason Lab in the Department of Biology at MIT recently published in the Journal of Cell Biology has shown that Rickettsia parkeri, a bacterial pathogen that lives freely in the cytosol, can interact in an extensive and stable way with the rough endoplasmic reticulum, forming previously unseen contacts with the organelle.

It’s the first known example of a direct interkingdom contact site between an intracellular bacterial pathogen and a eukaryotic membrane.

The Lamason Lab studies R. parkeri as a model for infection of the more virulent Rickettsia rickettsii. R. rickettsii, carried and transmitted by ticks, causes Rocky Mountain Spotted Fever. Left untreated, the infection can cause symptoms as severe as organ failure and death.

Rickettsia is difficult to study because it is an obligate pathogen, meaning it can only live and reproduce inside living cells, much like a virus. Researchers must get creative to parse out fundamental questions and molecular players in the R. parkeri life cycle, and much remains unclear about how R. parkeri spreads.

Detour to the junction

First author Yamilex Acevedo-Sánchez, a BSG-MSRP-Bio program alum and a graduate student at the time, stumbled across the ER and R. parkeri interactions while trying to observe Rickettsia reaching a cell junction.

The current model for Rickettsia infection involves R. parkeri spreading cell to cell by traveling to the specialized contact sites between cells and being engulfed by the neighboring cell in order to spread. Listeria monocytogenes, which the Lamason Lab also studies, uses actin tails to forcefully propel itself into a neighboring cell. By contrast, R. parkeri can form an actin tail, but loses it before reaching the cell junction. Somehow, R. parkeri is still able to spread to neighboring cells.

After an MIT seminar about the ER’s lesser-known functions, Acevedo-Sánchez developed a cell line to observe whether Rickettsia might be spreading to neighboring cells by hitching a ride on the ER to reach the cell junction.

Instead, she saw an unexpectedly high percentage of R. parkeri surrounded and enveloped by the ER, at a distance of about 55 nanometers. This distance is significant because membrane contacts for interorganelle communication in eukaryotic cells form connections from 10-80 nanometers wide. The researchers ruled out that what they saw was not an immune response, and the sections of the ER interacting with the R. parkeri were still connected to the wider network of the ER.

“I’m of the mind that if you want to learn new biology, just look at cells,” Acevedo-Sánchez says. “Manipulating the organelle that establishes contact with other organelles could be a great way for a pathogen to gain control during infection.”

The stable connections were unexpected because the ER is constantly breaking and reforming connections, lasting seconds or minutes. It was surprising to see the ER stably associating around the bacteria. As a cytosolic pathogen that exists freely in the cytosol of the cells it infects, it was also unexpected to see R. parkeri surrounded by a membrane at all.

Small margins

Acevedo-Sánchez collaborated with the Center for Nanoscale Systems at Harvard University to view her initial observations at higher resolution using focused ion beam scanning electron microscopy. FIB-SEM involves taking a sample of cells and blasting them with a focused ion beam in order to shave off a section of the block of cells. With each layer, a high-resolution image is taken. The result of this process is a stack of images.

From there, Acevedo-Sánchez marked what different areas of the images were — such as the mitochondria, Rickettsia, or the ER — and a program called ORS Dragonfly, a machine learning program, sorted through the thousand or so images to identify those categories. That information was then used to create 3D models of the samples.

Acevedo-Sánchez noted that less than 5 percent of R. parkeri formed connections with the ER — but small quantities of certain characteristics are known to be critical for R. parkeri infection. R. parkeri can exist in two states: motile, with an actin tail, and nonmotile, without it. In mutants unable to form actin tails, R. parkeri are unable to progress to adjacent cells — but in nonmutants, the percentage of R. parkeri that have tails starts at about 2 percent in early infection and never exceeds 15 percent at the height of it.

The ER only interacts with nonmotile R. parkeri, and those interactions increased 25-fold in mutants that couldn’t form tails.

Creating connections

Co-authors Acevedo-Sánchez, Patrick Woida, and Caroline Anderson also investigated possible ways the connections with the ER are mediated. VAP proteins, which mediate ER interactions with other organelles, are known to be co-opted by other pathogens during infection.

During infection by R. parkeri, VAP proteins were recruited to the bacteria; when VAP proteins were knocked out, the frequency of interactions between R. parkeri and the ER decreased, indicating R. parkeri may be taking advantage of these cellular mechanisms for its own purposes during infection.

Although Acevedo-Sánchez now works as a senior scientist at AbbVie, the Lamason Lab is continuing the work of exploring the molecular players that may be involved, how these interactions are mediated, and whether the contacts affect the host or bacteria’s life cycle.

Senior author and associate professor of biology Rebecca Lamason noted that these potential interactions are particularly interesting because bacteria and mitochondria are thought to have evolved from a common ancestor. The Lamason Lab has been exploring whether R. parkeri could form the same membrane contacts that mitochondria do, although they haven’t proven that yet. So far, R. parkeri is the only cytosolic pathogen that has been observed behaving this way.

“It’s not just bacteria accidentally bumping into the ER. These interactions are extremely stable. The ER is clearly extensively wrapping around the bacterium, and is still connected to the ER network,” Lamason says. “It seems like it has a purpose — what that purpose is remains a mystery.”

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.

Sauer & Davis Lab News Brief: structures of molecular woodchippers reveal mechanism for versatility

Rest in pieces: deconstructing polypeptide degradation machinery

Lillian Eden | Department of Biology
November 12, 2024

Research from the Sauer and Davis Labs in the Department of Biology at MIT shows that conformational changes contribute to the specificity of “molecular woodchippers” 

Degradation is a crucial process for maintaining protein homeostasis by culling excess or damaged proteins whose components can then be recycled. It is also a highly regulated process—for good reason. A cell could potentially waste many resources if the degradation machinery destroys proteins it shouldn’t. 

One of the major pathways for protein degradation in bacteria and eukaryotic mitochondria involves a molecular machine called ClpXP. ClpXP is made up of two components: a star-shaped structure made up of six subunits called ClpX that engages and unfolds proteins tagged for degradation, and an associated barrel-shaped enzyme, called ClpP, that chemically breaks up proteins into small pieces called peptides. 

ClpXP is incredibly adaptable and is often compared to a woodchipper — able to take in materials and spit out their broken-down components. Thanks to biochemical experiments, this molecular degradation machine is known to be able to break down hundreds of different proteins in the cell regardless of physical or chemical properties such as size, shape, or charge. ClpX uses energy from ATP hydrolysis to unfold proteins before they are threaded through its central channel, referred to as the axial channel, and into the degradation chamber of ClpP.

In three papers, one in PNAS and two in Nature Communications, researchers from the Department of Biology at MIT have expanded our understanding of how this molecular machinery engages with, unfolds, and degrades proteins — and how that machinery refrains, by design, from unfolding proteins not tagged for degradation. 

Alireza Ghanbarpour, until recently a postdoc in the Sauer Lab and Davis Lab and first author on all three papers, began with a simple question: given the vast repertoire of potential substrates — that is, proteins to be degraded — how is ClpXP so specific?

Ghanbarpour — now an assistant professor in the Department of Biochemistry and Molecular Biology at Washington University School of Medicine in St. Louis — found that the answer to this question lies in conformational changes in the molecular machine as it engages with an ill-fated protein. 

Reverse Engineering using Structural Insights

Ghanbarpour approached the question of ClpXP’s versatility by characterizing conformational changes of the molecular machine using a technique called cryogenic electron microscopy. In cryo-EM, sample particles are frozen in solution, and images are collected; algorithms then create 3D renderings from the 2D images.

“It’s really useful to generate different structures in different conditions and then put them together until you know how a machine works,” he says. “I love structural biology, and these molecular machines make fascinating targets for structural work and biochemistry. Their structural plasticity and precise functions offer exciting opportunities to understand how nature leverages enzyme conformations to generate novel functions and tightly regulate protein degradation within the cell.”

Inside the cell, these proteases do not work alone but instead work together with “adaptor” proteins, which can promote — or inhibit — degradation by ClpXP. One of the adaptor proteins that promotes degradation by ClpXP is SspB. 

In E. coli and most other bacteria, ClpXP and SspB interact with a tag called ssrA that is added to incomplete proteins when their biosynthesis on ribosomes stalls. 

The tagging process frees up the ribosome to make more proteins, but creates a problem: incomplete proteins are prone to aggregation, which could be detrimental to cellular health and can lead to disease. By interacting with the degradation tag, ClpXP and SspB help to ensure the degradation of these incomplete proteins. Understanding this process and how it may go awry may open therapeutic avenues in the future.

“It wasn’t clear how certain adapters were interacting with the substrate and the molecular machines during substrate delivery,” Ghanbarpour notes. “My recent structure reveals that the adapter engages with the enzyme, reaching deep into the axial channel to deliver the substrate.” 

Ghanbarpour and colleagues showed that ClpX engages with both the SspB adaptor and the ssrA degradation tag of an ill-fated protein at the same time. Surprisingly, they also found that this interaction occurs while the upper part of the axial channel through ClpX is closed — in fact, the closed channel allows ClpX to contact both the tag and the adaptor simultaneously.

This result was surprising, according to senior author and Salvador E. Luria Professor of Biology Robert Sauer, whose lab has been working on understanding this molecular machine for more than two decades: it was unclear whether the channel through ClpX closes in response to a substrate interaction, or if the channel is always closed until it opens to pass an unfolded protein down to ClpP to be degraded.

Preventing Rogue Degradation

Throughout this project, Ghanbarpour was co-advised by structural biologist and Associate Professor of Biology Joey Davis and collaborated with members of the Davis Lab to better understand the conformational changes that allow these molecular machines to function. Using a cryo-EM analysis approach developed in the Davis lab called CryoDRGN, the researchers showed that there is an equilibrium between ClpXP in the open and closed states: it’s usually closed but is open in about 10% of the particles in their samples. 

The closed state is almost identical to the conformation ClpXP assumes when it is engaged with an ssrA-tagged substrate and the SspB adaptor. 

To better understand the biological significance of this equilibrium, Ghanbarpour created a mutant of ClpXP that is always in the open position. Compared to normal ClpXP, the mutant degraded some proteins lacking obvious degradation tags faster but degraded ssrA-tagged proteins more slowly. 

According to Ghanbarpour, these results indicate that the closed channel improves ClpXP’s ability to efficiently engage tagged proteins meant to be degraded, whereas the open channel allows more “promiscuous” degradation. 

Pausing the Process

The next question Ghanbarpour wanted to answer was what this molecular machine looks like while engaged with a protein it is attempting to unfold. To do that, he created a substrate with a highly stable protein attached to the degradation tag that is initially pulled into ClpX, but then dramatically slows protein unfolding and degradation.

In the structures where the degradation process stalls, Ghanbarpour found that the degradation tag was pulled far into the molecular machine—through ClpX and into ClpP—and the folded protein part of the substrate was pulled tightly against the axial channel of ClpX. 

The opening of the axial channel, called the axial pore, is made up of looping protein structures called RKH loops. These flexible loops were found to play roles both in recognizing the ssrA degradation tag and in how substrates or the SspB adaptor interact with or are pulled against the channel during degradation. 

The flexibility of these RKH loops allows ClpX to interact with a large number of different proteins and adapters, and these results clarify some previous biochemical and mutational studies of interactions between the substrate and ClpXP. 

Although Ghanbarpour’s recent work focused on just one adaptor and degradation tag, he noted there are many more targets — ClpXP is something akin to a Swiss army knife for breaking down polypeptide chains. 

The way those other substrates interact with ClpXP could differ from the structures solved with the SspB adaptor and ssrA tag. It also stands to reason that the way ClpXP reacts to each substrate may be unique. For example, given that ClpX is occasionally in an open state, some substrates may engage with ClpXP only while it’s in an open conformation. 

In his new position at Washington University, Ghanbarpour intends to continue exploring how ClpXP and other molecular machines locate their target substrates and interact with adaptors, shedding light on how cells regulate protein degradation and maintain protein homeostasis.

The structures Ghanbarpour solved involved free-floating protein degradation machinery, but membrane-bound degradation machinery also exists. The membrane-bound version’s structure and conformational adaptions potentially differ from the structures Ghanbarpour found in his previous three papers. Indeed, in a recent preprint, Ghanbarpour worked on the cryo-EM structure of a nautilus shell-shaped protein assembly that seems to control membrane-bound degradation machinery. This assembly plays a critical role in regulating protein degradation within the bacterial inner membrane.

“The function of these proteases goes beyond simply degrading damaged proteins. They also target transcription factors, regulatory proteins, and proteins that don’t exist in normal conditions,” he says. “My new lab is particularly interested in understanding how cells use these proteases and their accessory adaptors, both under normal and stress conditions, to reshape the proteome and support recovery from cellular distress.”

An elegant switch regulates production of protein variants during cell division

Cells make variants of thousands of proteins. These variants are not produced indiscriminately, but rather through precise regulatory mechanisms that can meet rapidly changing needs of the cell according to new research from the Cheeseman Lab.

Greta Friar | Whitehead Institute
October 18, 2024

Our cells contain thousands of proteins that have gone largely undetected and unstudied until recent years: these are variants of known proteins, which cells can make when their protein-building machinery interacts differently with the same stretch of genetic code. These protein variants have typically been overlooked as occasional accidents of gene expression, but researchers including Whitehead Institute Member Iain Cheeseman are discovering that they are actually abundant and can play important roles in cell functions. Researchers in Cheeseman’s lab are studying individual protein variants to learn more about them and their roles in health and disease, but they also wanted to understand broader patterns of protein variant production: how do cells control when to make one variant of a protein versus another, and what are the consequences of such switches?

Cheeseman, who is also a professor of biology at the Massachusetts Institute of Technology, and graduate student in his lab Jimmy Ly have now identified how cells switch to a different pattern of protein variant production during mitosis, or cell division. In research published in the journal Nature on October 23, they show that this broad regulatory switch helps cells survive paused cell divisions that can sometimes occur in healthy humans or be triggered by certain chemotherapy treatments. The work confirms that cells make variants of thousands of proteins, and also demonstrates that cells do not do so indiscriminately. Rather, cells use precise regulatory mechanisms to switch between different patterns of protein variant production, in order to rapidly tailor the proteins available to fit the changing needs of the cell.

A plethora of hidden proteins

Hw can our cells contain unknown proteins? In high school biology classes, students learn the rule that each gene codes for exactly one protein, such that if you know an organism’s genetic code, you should know every protein it can make. In fact, there are instead many genes that code for multiple proteins. For a protein to be made, first the genetic code for it is copied from DNA into a messenger RNA (mRNA). Then, a ribosome, the cellular machine that follows the instructions in genetic code to build a protein, locates the coding sequence within the mRNA by scanning for the start codon, a sequence of the three bases A, U, and G – bases are the chemical building blocks of RNA, abbreviated as A, U, C, and G. The ribosome recognizes the AUG start codon as the place to begin following instructions, and builds a protein based on the genetic sequence from there through to another trio of bases called a stop codon. However, one way that different versions of a protein can be produced is that a ribosome may begin reading the instructions from multiple different starting points.

Sometimes, a ribosome may miss the first AUG start codon and skip ahead to another AUG somewhere in the middle of the gene’s code, creating a truncated version of the protein. Sometimes, a ribosome may treat a similar trio of bases, such as CUG or GUG, as a start codon. This can cause it to begin earlier, creating a protein based on an extended genetic sequence. These possibilities mean that cells contain thousands more different proteins, or variants of proteins, than are represented by the dogma of one gene, one protein.

In order to understand protein variant production, the researchers—in collaboration with researchers from Whitehead Institute Member David Bartel’s lab–used a method that let them carefully track ribosomes to compare which start sites ribosomes tended to use. They looked at start site selection during mitosis versus during the rest of the cell cycle and found that a dramatic shift in use occurred for thousands of start sites. Specifically, the researchers found that during mitosis, ribosome scanning becomes more stringent. The ribosome will only begin making proteins at AUG sequences, and even then, only at AUGs that have preferable sequences of bases surrounding them—known as a strong Kozak context. This increased selectivity does not always lead to the familiar version of the protein being made during mitosis; sometimes the first AUG start codon has a weak Kozak context, so a truncated protein gets made from an AUG start codon with a stronger Kozak context that lies within the gene.

“Coming into this project, we knew very little about protein production during mitosis—for a long time, people didn’t think much protein production happened in mitosis at all,” Ly says. “It was satisfying to show not only that it is occurring, but that there’s a shift in which proteins are being made—and that this shift is important for cellular viability.”

How cells switch between protein variant programs

The researchers next identified how the switch to increased stringency is initiated during mitosis. They discovered that the key player is a protein called eIF1, which is one of many partners that can pair with ribosomes to help them select their start site. In particular, increased eIF1 pairing with ribosomes causes the ribosomes to be more stringent in their start codon selection, inhibiting the usage of non-AUG initiation sites or sites with weak Kozak contexts.

During mitosis, ribosome pairing with eIF1 increases sharply, leading to the shift in stringency. This change in pairing rate during mitosis puzzled the researchers: ribosomes and their partners, including eIF1, all typically reside together in the main body of the cell—where ribosomes make proteins—so they should be able to pair freely at any time. The researchers looked for other molecules in the same location that could be altering how ribosomes and eIF1 interact during different parts of the cell cycle, but they couldn’t find anything. Eventually, the researchers realized that the answer to the puzzle lay in a separate location: the nucleus.

They found that cells maintain a large pool of eIF1 inside of the nucleus, locked away from the ribosomes. Then, during cell division, the wall of the nucleus dissolves, mixing its contents with the rest of the cell. This is necessary for the dividing cell to divvy up its DNA, but it also releases the pool of eIF1 to pair with ribosomes, increasing stringency. At the end of mitosis, the nucleus reforms and eIF1 is re-incorporated into the nucleus of each of the two daughter cells, and the cells return to a less stringent program.

“The explanation for increased interaction between eIF1 and ribosomes during mitosis had really stumped us, and so when I saw eIF1 localizing to the nucleus, that was a really exciting ‘aha’ moment,” Ly says. “Discovering this mechanism of nuclear release during mitosis was unexpected, and it’s interesting to think about how else cells might be using it.”

Consequences of increased stringency for the cell

Once the researchers understood the how, they then wanted to understand the why? What they discovered is that when cells have no nuclear pool of eIF1, and so no change in stringency during mitosis, they are more likely to die during mitosis. In particular, these cells fare poorly during mitotic arrest, a state in which cells get stuck in mitosis for hours or even days–much longer than typical mitosis. Arrest occurs when cells detect a possible cell division error and so halt their division until the error is corrected or the cell dies.

One effect of increased stringency during mitosis is related to mitochondria, which are required for energy production in many cell types and are therefore required for maintaining viability. Cells stuck in mitotic arrest need energy to keep them going through this unexpected delay. The researchers found that increased stringency during mitosis led to an increase in the production of important mitochondrial proteins, boosting the cells’ energy supply to get them through arrest.

Increased stringency also gives cells the tools they need to escape arrest, even if they haven’t fixed the error that caused them to pause division. In a Nature paper in 2023, Cheeseman and then-postdoc in his lab Mary-Jane Tsang showed that when cells build up enough of the truncated version of a protein called CDC20, they can escape arrest. Ly’s work adds to this story by showing that the nuclear release of eIF1 increases stringency, leading to more production of truncated CDC20 during mitosis, which explains how cells build up enough of this protein variant during mitosis to trigger their escape. These findings may have important potential implications for some cancer chemotherapy strategies.

Some chemotherapies work by trapping cancer cells in mitotic arrest until they die. Cheeseman, Tsang, and Ly’s work collectively shows that when cancer cells lack sufficient truncated CDC20—as can occur in the absence of nuclear eIF1—the cells cannot escape arrest and so are killed off by these chemotherapies at higher rates. These results could be used to improve the efficacy of antimitotic chemotherapy drugs.

The switch in protein variant production that the researchers found affects thousands of proteins. These newly identified protein variants serve as a foundation for many future projects in the lab.

As the researchers continue to examine the consequences of this switch to stringency during mitosis, they are also searching for other cases in which cells regulate protein variant production outside of mitosis. For example, the researchers are interested in how this switch in stringency affects fertility; immature egg cells spend a long time in a form of arrested cell division without an intact nucleus, and Ly observed eIF1 in the nucleus of the immature female eggs.

“Cells have axes of control that they use to quickly make broad changes in gene expression,” Cheeseman says. “Several of these are central to controlling cell division—for example, the role of phosphorylation as a regulatory switch in mitosis has been well studied. Our work identifies another axis of control, and we’re excited to discover more about when and how cells make use of it.”

Pursuing the secrets of a stealthy parasite

By unraveling the genetic pathways that help Toxoplasma gondii persist in human cells, Sebastian Lourido hopes to find new ways to treat toxoplasmosis.

Anne Trafton | MIT News
August 25, 2024

Toxoplasma gondii, the parasite that causes toxoplasmosis, is believed to infect as much as one-third of the world’s population. Many of those people have no symptoms, but the parasite can remain dormant for years and later reawaken to cause disease in anyone who becomes immunocompromised.

Why this single-celled parasite is so widespread, and what triggers it to reemerge, are questions that intrigue Sebastian Lourido, an associate professor of biology at MIT and member of the Whitehead Institute for Biomedical Research. In his lab, research is unraveling the genetic pathways that help to keep the parasite in a dormant state, and the factors that lead it to burst free from that state.

“One of the missions of my lab to improve our ability to manipulate the parasite genome, and to do that at a scale that allows us to ask questions about the functions of many genes, or even the entire genome, in a variety of contexts,” Lourido says.

There are drugs that can treat the acute symptoms of Toxoplasma infection, which include headache, fever, and inflammation of the heart and lungs. However, once the parasite enters the dormant stage, those drugs don’t affect it. Lourido hopes that his lab’s work will lead to potential new treatments for this stage, as well as drugs that could combat similar parasites such as a tickborne parasite known as Babesia, which is becoming more common in New England.

“There are a lot of people who are affected by these parasites, and parasitology often doesn’t get the attention that it deserves at the highest levels of research. It’s really important to bring the latest scientific advances, the latest tools, and the latest concepts to the field of parasitology,” Lourido says.

A fascination with microbiology

As a child in Cali, Colombia, Lourido was enthralled by what he could see through the microscopes at his mother’s medical genetics lab at the University of Valle del Cauca. His father ran the family’s farm and also worked in government, at one point serving as interim governor of the state.

“From my mom, I was exposed to the ideas of gene expression and the influence of genetics on biology, and I think that really sparked an early interest in understanding biology at a fundamental level,” Lourido says. “On the other hand, my dad was in agriculture, and so there were other influences there around how the environment shapes biology.”

Lourido decided to go to college in the United States, in part because at the time, in the early 2000s, Colombia was experiencing a surge in violence. He was also drawn to the idea of attending a liberal arts college, where he could study both science and art. He ended up going to Tulane University, where he double-majored in fine arts and cell and molecular biology.

As an artist, Lourido focused on printmaking and painting. One area he especially enjoyed was stone lithography, which involves etching images on large blocks of limestone with oil-based inks, treating the images with chemicals, and then transferring the images onto paper using a large press.

“I ended up doing a lot of printmaking, which I think attracted me because it felt like a mode of expression that leveraged different techniques and technical elements,” he says.

At the same time, he worked in a biology lab that studied Daphnia, tiny crustaceans found in fresh water that have helped scientists learn about how organisms can develop new traits in response to changes to their environment. As an undergraduate, he helped develop ways to use viruses to introduce new genes into Daphnia. By the time he graduated from Tulane, Lourido had decided to go into science rather than art.

“I had really fallen in love with lab science as an undergrad. I loved the freedom and the creativity that came from it, the ability to work in teams and to build on ideas, to not have to completely reinvent the entire system, but really be able to develop it over a longer period of time,” he says.

After graduating from college, Lourido spent two years in Germany, working at the Max Planck Institute for Infection Biology. In Arturo Zychlinksy’s lab, Lourido studied two bacteria known as Shigella and Salmonella, which can cause severe illnesses, including diarrhea. His studies there helped to reveal how these bacteria get into cells and how they modify the host cells’ own pathways to help them replicate inside cells.

As a graduate student at Washington University in St. Louis, Lourido worked in several labs focusing on different aspects of microbiology, including virology and bacteriology, but eventually ended up working with David Sibley, a prominent researcher specializing in Toxoplasma.

“I had not thought much about Toxoplasma before going to graduate school,” Lourido recalls. “I was pretty unaware of parasitology in general, despite some undergrad courses, which honestly very superficially treated the subject. What I liked about it was here was a system where we knew so little — organisms that are so different from the textbook models of eukaryotic cells.”

Toxoplasma gondii belongs to a group of parasites known as apicomplexans — a type of protozoans that can cause a variety of diseases. After infecting a human host, Toxoplasma gondii can hide from the immune system for decades, usually in cysts found in the brain or muscles. Lourido found the organism especially intriguing because as a 17-year-old, he had been diagnosed with toxoplasmosis. His only symptom was swollen glands, but doctors found that his blood contained antibodies against Toxoplasma.

“It is really fascinating that in all of these people, about a quarter to a third of the world’s population, the parasite persists. Chances are I still have live parasites somewhere in my body, and if I became immunocompromised, it would become a big problem. They would start replicating in an uncontrolled fashion,” he says.

A transformative approach

One of the challenges in studying Toxoplasma is that the organism’s genetics are very different from those of either bacteria or other eukaryotes such as yeast and mammals. That makes it harder to study parasitic gene functions by mutating or knocking out the genes.

Because of that difficulty, it took Lourido his entire graduate career to study the functions of just a couple of Toxoplasma genes. After finishing his PhD, he started his own lab as a fellow at the Whitehead Institute and began working on ways to study the Toxoplasma genome at a larger scale, using the CRISPR genome-editing technique.

With CRISPR, scientists can systematically knock out every gene in the genome and then study how each missing gene affects parasite function and survival.

“Through the adaptation of CRISPR to Toxoplasma, we’ve been able to survey the entire parasite genome. That has been transformative,” says Lourido, who became a Whitehead member and MIT faculty member in 2017. “Since its original application in 2016, we’ve been able to uncover mechanisms of drug resistance and susceptibility, trace metabolic pathways, and explore many other aspects of parasite biology.”

Using CRISPR-based screens, Lourido’s lab has identified a regulatory gene called BFD1 that appears to drive the expression of genes that the parasite needs for long-term survival within a host. His lab has also revealed many of the molecular steps required for the parasite to shift between active and dormant states.

“We’re actively working to understand how environmental inputs end up guiding the parasite in one direction or another,” Lourido says. “They seem to preferentially go into those chronic stages in certain cells like neurons or muscle cells, and they proliferate more exuberantly in the acute phase when nutrient conditions are appropriate or when there are low levels of immunity in the host.”

News Brief: Lamason Lab uncovers seven novel effectors in Rickettsia parkeri infection

The enemy within: new research reveals insights into the arsenal Rickettsia parkeri uses against its host

Lillian Eden | Department of Biology
July 29, 2024

Identifying secreted proteins is critical to understanding how obligately intracellular pathogens hijack host machinery during infection, but identifying them is akin to finding a needle in a haystack.

For then-graduate student Allen Sanderlin, PhD ’24, the first indication that a risky, unlikely project might work was cyan, tic tac-shaped structures seen through a microscope — proof that his bacterial pathogen of interest was labeling its own proteins.  

Sanderlin, a member of the Lamason Lab in the Department of Biology at MIT, studies Rickettsia parkeri, a less virulent relative of the bacterial pathogen that causes Rocky Mountain Spotted Fever, a sometimes severe tickborne illness. No vaccine exists and definitive tests to diagnose an infection by Rickettsia are limited.

Rickettsia species are tricky to work with because they are obligately intracellular pathogens whose entire life cycles occur exclusively inside cells. Many approaches that have advanced our understanding of other bacterial infections and how those pathogens interact with their host aren’t applicable to Rickettsia because they can’t be grown on a plate in a lab setting. 

In a paper recently published in Nature Communications, the Lamason Lab outlines an approach for labeling and isolating R. parkeri proteins released during infection. This research reveals seven previously unknown secreted factors, known as effectors, more than doubling the number of known effectors in R. parkeri. 

Better-studied bacteria are known to hijack the host’s machinery via dozens or hundreds of secreted effectors, whose roles include manipulating the host cell to make it more susceptible to infection. However, finding those effectors in the soup of all other materials within the host cell is akin to looking for a needle in a haystack, with an added twist that researchers aren’t even sure what those needles look like for Rickettsia.  

Approaches that worked to identify the six previously known secreted effectors are limited in their scope. For example, some were found by comparing pathogenic Rickettsia to nonpathogenic strains of the bacteria, or by searching for proteins with domains that overlap with effectors from better-studied bacteria. Predictive modeling, however, relies on proteins being evolutionarily conserved. 

“Time and time again, we keep finding that Rickettsia are just weird — or, at least, weird compared to our understanding of other bacteria,” says Sanderlin, the paper’s first author. “This labeling tool allows us to answer some really exciting questions about rickettsial biology that weren’t possible before.”

The cyan tic tacs

To selectively label R. parkeri proteins, Sanderlin used a method called cell-selective bioorthogonal non-canonical amino acid tagging. BONCAT was first described in research from the Tirrell Lab at Caltech. The Lamason Lab, however, is the first group to use the tool successfully in an obligate intracellular bacterial pathogen; the thrilling moment when Sanderlin saw cyan tic-tac shapes indicated successfully labeling only the pathogen, not the host. 

Sanderlin next used an approach called selective lysis, carefully breaking open the host cell while leaving the pathogen, filled with labeled proteins, intact. This allowed him to extract proteins that R. parkeri had released into its host because the only labeled proteins amid other host cell material were effectors the pathogen had secreted. 

Sanderlin had successfully isolated and identified seven needles in the haystack, effectors never before identified in Rickettsia biology. The novel secreted rickettsial factors are dubbed SrfA, SrfB, SrfC, SrfD, SrfE, SrfF, and SrfG. 

“Every grad student wants to be able to name something,” Sanderlin says. “The most exciting — but frustrating — thing was that these proteins don’t look like anything we’ve seen before.”

Special delivery

Theoretically, Sanderlin says, once the effectors are secreted, they work independently from the bacteria — a driver delivering a pizza does not need to check back in with the store at every merge or turn.

Since SrfA-G didn’t resemble other known effectors or host proteins the pathogen could be mimicking during infection, Sanderlin then tried to answer some basic questions about their behavior. Where the effectors localize, meaning where in the cell they go, could hint at their purpose and what further experiments could be used to investigate it. 

To determine where the effectors were going, Sanderlin added the effectors he’d found to uninfected cells by introducing DNA that caused human cell lines to express those proteins. The experiment succeeded: he discovered that different Srfs went to different places throughout the host cells.  

SrfF and SrfG are found throughout the cytoplasm, whereas SrfB localizes to the mitochondria. That was especially intriguing because its structure is not predicted to interact with or find its way to the mitochondria, and the organelle appears unchanged despite the presence of the effector. 

Further, SrfC and SrfD found their way to the endoplasmic reticulum. The ER would be especially useful for a pathogen to appropriate, given that it is a dynamic organelle present throughout the cell and has many essential roles, including synthesizing proteins and metabolizing lipids. 

Aside from where effectors localize, knowing what they may interact with is critical. Sanderlin showed that SrfD interacts with Sec61, a protein complex that delivers proteins across the ER membrane. In keeping with the theme of the novelty of Sanderlin’s findings, SrfD does not resemble any proteins known to interact with the ER or Sec61. 

With this tool, Sanderlin identified novel proteins whose binding partners and role during infection can now be studied further. 

“These results are exciting but tantalizing,” Sanderlin says. “What Rickettsia secrete — the effectors, what they are, and what they do is, by and large, still a black box.” 

There are very likely other effectors in the proverbial cellular haystack. Sanderlin found that SrfA-G are not found in every species of Rickettsia, and his experiments were solely conducted with Rickettsia at late stages of infection — earlier windows of time may make use of different effectors. This research was also carried out in human cell lines, so there may be an entirely separate repertoire of effectors in ticks, which are responsible for spreading the pathogen.

Expanding Tool Development

Becky Lamason, the senior author of the Nature Communications paper, noted that this tool is one of a few avenues the lab is exploring to investigate R. parkeri, including a paper in the Journal of Bacteriology on conditional genetic manipulation. Characterizing how the pathogen behaves with or without a particular effector is leaps and bounds ahead of where the field was just a few years ago when Sanderlin was Lamason’s first graduate student to join the lab.

“What I always hoped for in the lab is to push the technology, but also get to the biology. These are two of what will hopefully be a suite of ways to attack this problem of understanding how these bacteria rewire and manipulate the host cell,” Lamason says. “We’re excited, but we’ve only scratched the surface.”

Unusual Labmates: Meet tardigrades, the crafters of nature’s ultimate survival kit

Whitehead Institute Member Siniša Hrvatin is studying tardigrades to decode the mechanisms enabling their survival in extreme environmental conditions. Learn about the biology of these microscopic “water bears” and what makes them a particularly fascinating model organism.

Shafaq Zia | Whitehead Institute
July 23, 2024

Tardigrades, also affectionately known as “water bears” or “moss piglets”, are remarkable microscopic organisms that have captured the imagination of scientists and nature enthusiasts alike.

With adults measuring anywhere from 0.2 to 1.2 millimeters in length — as big as a grain of salt — tardigrades possess the astounding ability to survive harsh environmental conditions. These resilient creatures have been found in habitats ranging from the depths of oceans and hot radioactive springs to the frigid expanses of Antarctica. It is their unparalleled adaptability that makes them invaluable as a model organism for researchers like Whitehead Institute Member Siniša Hrvatin, who’s studying physiological adaptation in animals with a focus on states that can slow down tissue damage, disease progression, and even aging.

Follow along to learn what’s behind tardigrades’ nearly indestructible nature, how researchers at Whitehead Institute — and beyond — are studying them, and what insights this work can offer into long-term organ preservation, space exploration, and more.

Big discovery of a tiny creature

In 1773, German naturalist Johann August Ephraim Goeze was analyzing moss samples under a microscope when he stumbled upon an unusual creature. Captivated by its peculiar appearance, he continued his observations and documented the discovery of Kleiner Wasserbär, translating to “little water bear”, in his publication. This work also featured the first-ever drawing of a tardigrade.

Since then, researchers’ understanding of this remarkable organism has evolved alongside advancements in imaging technology. Today, tardigrades are recognized as bilaterally symmetrical invertebrates with two eyes and eight chubby legs adorned with hook-like claws. Often described as a mix between nematodes and insects, these extremophiles are able to withstand freezing, intense radiation, vacuum of outer space, desiccation, chemical treatments, and possibly more.

And the best part? Despite their otherworldly appearance and surprising capabilities, tardigrades share plenty of similarities with larger, more complex organisms, including possessing a primordial brain, muscles, and even a digestive system.

The biology of an extremophile

Researchers trace the evolutionary origins of tardigrades back to panarthropods, a group that includes now-extinct worm-like organisms called lobopodians. To date, over a thousand species of tardigrades have been identified, with terrestrial species inhabiting environments like moss, leaf litter, and lichen, grassland, and deserts while aquatic ones are found in both fresh and saltwater.

Little is known about tardigrades’ diet but researchers are particularly drawn to herbivorous ones that like to munch on single-celled algae and thrive in water. There’s good reason for it: algae are inexpensive to grow in the lab with just light and basic nutrients. But it’s not just their diet that makes tardigrades an attractive model organism — they also have a short generation time (11 to 14 days), with eggs hatching within a four-day span. In fact, some species are able to reproduce without sexual reproduction through a process called parthenogenesis, during which the female egg undergoes cell division without fertilization by a male gamete.

Although genomic resources for studying tardigrades are limited to only a few species, researchers from Keio University and University of Edinburgh have successfully sequenced the genome of a moss-residing tardigrade commonly used in research called Hypsibius exemplaris. Its genome is less than half the size of a Drosophila melanogaster genome, consisting of 105 million base pairs that serve as the building blocks of DNA.

In spite of their small genome — and only a few thousand cells in the body — tardigrades have a well-defined miniaturized body plan, consisting of a head and four segments, that holds valuable insights for researchers looking to decode their adaptation prowess.

Inside tardigrade research at Whitehead Institute

In 2022, as Hrvatin was setting up his lab at Whitehead Institute, a question lingered in his mind. “I was trying to find animals that can survive being frozen for long periods of time and then continue living,” he says. “But there are not that many that fit the bill.”

Then, an undergraduate student at Massachusetts Institute of Technology (MIT) expressed her enthusiasm for astrobiology — the study of life across the universe — and highlighted tardigrades as a favorite among space researchers. Hrvatin was intrigued.

Up until this point, his research had centered upon two states of dormancy, or reduced metabolic activity, in animals: hibernation and a shorter, less intense torpor. But tardigrades possessed a survival mechanism unlike any other. When faced with harsh conditions like dehydration, they would expel water, retract their head and legs, and curl up in a small, dry ball, entering a state of suspended animation called crytobiosis or tun formation.

For decades, researchers hypothesized that the tun state might be responsible for tardigrades’ unparalleled ability to withstand a myriad of environmental assaults, including extremely low temperature. However, recent work has revealed that these animals utilize a separate and unique adaptation, distinct from the tun state, to survive being frozen for extended periods. In fact, preliminary evidence from a preprint by a team of scientists at UC Berkeley and UC San Francisco illustrates unique patterns of how tardigrades survive freezing while hydrated in water.

This phenomenon is markedly different from hibernation and its cousin torpor. “Unlike animals lowering their body temperature, we’re talking about putting tardigrades at minus 180 degrees Celsius, and then thawing them,” says Hrvatin. In fact, cryobiosis is so intense that tardigrades’ metabolic activity drops to undetectable levels, rendering them virtually, but not quite, dead. The organisms can then remain in this state from months to years, only to revive as healthy when conditions become favorable once again.

Frozen in time

In 2014, a group of Japanese researchers at Tokyo’s National Institute for Polar Research undertook an intriguing experiment. They began by thawing moss samples collected from East Antarctica in November 1983. Then, they carefully teased apart each sample using tweezers to retrieve tardigrades that might be nestled within. Among the tardigrades the researchers found, two stood out: Sleeping Beauty 1 and Sleeping Beauty 2 who were believed to be undergoing cold induced-dormancy. Turns out, the researchers were right — within the first day of being placed in the Petri dish with water, the tardigrades began exhibiting slow movements despite having been frozen for over 30 years.

The Swiss army knife in tardigrades’ toolbox

Yet, the remarkable resilience of tardigrades continues to baffle scientists. Recently, they’ve uncovered what could be another potential weapon in the creatures’ arsenal: intrinsically disordered proteins or IDPs. Picture them as putty — a group of proteins that do not have a well-defined three-dimensional structure and can interact with other molecules to produce a range of different outcomes. Some researchers have linked these tardigrade-specific IDPs to the animals extraordinary resilience: under extreme heat, these proteins remain stable. And when desiccated, they form protective glasses that shield cells and vital enzymes from dehydration.

If confirmed, the implications of this work would extend beyond tardigrades’ survival, potentially revolutionizing dry vaccine storage and the development of drought-resistant crops.

A genome-wide screen in live hosts reveals new secrets of parasite infection

Researchers in the Lourido Lab performed the first genome-wide screen of Toxoplasma gondii in live hosts, revealing genes that are important for infection but previously undetected in cell culture experiments. 

Greta Friar | Whitehead Institute
July 8, 2024

Apicomplexan parasites are a common cause of disease, infecting hundreds of millions of people each year. They are responsible for spreading malaria; cryptosporidiosis – a severe childhood diarrheal disease; and toxoplasmosis – a disease that endangers immune compromised people and fetuses, and is the reason why pregnant women are told to avoid changing cat litter. Apicomplexan parasites are very good at infecting humans and many other animals, and persisting inside of them. The more that researchers can learn about how apicomplexans infect hosts, the better they will be able to develop effective treatments against the parasites.

To this end, researchers in Whitehead Institute Member Sebastian Lourido’s lab, led by graduate student Christopher Giuliano, have now completed a genome-wide screen of the apicomplexan parasite Toxoplasma gondii (T. gondii), which causes toxoplasmosis, during its infection of mice. This screen shows how important each gene is for the parasite’s ability to infect a host, providing clues to genes’ functions. In the journal Nature Microbiology on July 8, the researchers share their approach for tracing lineages of parasites in a live host, and some specific findings of interest—including a possible anti-parasitic drug target.

From dish to animal

Researchers in Lourido’s lab previously developed a screen to test the function of every T. gondii gene in cells in a dish in 2016. They used CRISPR gene editing technology to make mutant parasites in which each lineage had one gene inactivated. The researchers could then assess the importance of each gene to a parasite’s fitness, or ability to thrive, based on how well the mutants missing that gene did. If a mutant died off, this implied that its inactivated gene is essential for the parasite’s survival.

This screen taught the researchers a lot about T. gondii’s biology but faced a common limitation: the parasites were studied in a dish rather than a live host. Cell culture provides an easier way to study parasites, but the conditions are not the same as what parasites face in an animal host. A host’s body is a more complex and dynamic environment, so it may require parasites to rely on genes that they don’t need in the artificial setting of cell culture.

To overcome this limitation, researchers in Lourido’s lab figured out how to repeat the T. gondii genome-wide screen, which their colleagues in the lab had previously done in cell culture, in live mice. This was a massive undertaking, which required solving various technical challenges and running a large number of parallel experiments. T. gondii has around eight thousand genes, so the researchers performed pooled experiments, with each mouse getting infected by many different mutants—but not so many as to overwhelm the mouse. This meant that the researchers needed a way to more closely monitor the trajectories of mutants in the mouse. They needed to track the lineages of parasites that carried the same mutation over time, as this would allow them to see how different replicate lineages of a particular mutant performed.

“This is an outstanding resource,” says Lourido. “The results of the screen reveal such a broader spectrum of ways in which the parasites are interacting with hosts, and enrich our perception of the parasites’ abilities and vulnerabilities.”
The researchers added barcodes to the CRISPR tools that inactivated a gene of interest in the parasite. When they harvested the parasites’ descendants, the barcode would identify the lineage, distinguishing replicate parasites that had been mutated in the same way. This allowed the researchers to use a population-based analytical approach to rule out false results and decrease experimental noise. Then they could draw conclusions about how well each lineage did. Lineage tracing allowed them to map how different populations of parasites traveled throughout the host’s body, and whether some populations grew better in one organ versus another.

The researchers found 237 genes that contribute to the parasite’s fitness more in a live host than in cell culture. Many of these were not previously known to be important for the parasite’s fitness. The genes identified in the current screen are active in different parts of the parasite, and affect diverse aspects of its interactions with a host. The researchers also found instances in which parasite fitness in a live host increased when a gene was inactivated; these genes may be, for example, related to signals that the host immune system uses to detect the parasites. Next, the researchers followed up on several of the fitness-improving genes that stuck out as of particular interest.

Genes that make the difference in a live host

One gene that stuck out was GTP cyclohydrolase I (GCH), which codes for an enzyme involved in the production of the essential nutrient folate. Apicomplexans rely on folate, and so the researchers wanted to understand GCH’s role in securing it for the parasite. Cell culture media contains high levels of folate, and in this nutrient-rich environment, GCH is not essential. However, in a live mouse, the parasite must both scavenge folate and synthesize it using the metabolic pathway containing GCH. Lourido and Giuliano uncovered new details of how that pathway works.

Although previously GCH’s role was not fully understood, the importance of folate for apicomplexans is a well-known vulnerability that has been used to design anti-parasitic therapies. The anti-folate drug pyrimethamine was commonly used to treat malaria, but many parasites have developed resistance to it.

Some drug-resistant apicomplexans have increased the number of GCH gene copies that they have, suggesting that they may be using GCH-mediated folate synthesis to overcome pyrimethamine. The researchers found that combining a GCH inhibitor with pyrimethamine increased the efficacy of the drug against the parasites. The GCH inhibitor was also effective on its own. Unfortunately, the currently available GCH inhibitor targets mammalian as well as parasitic folate pathways, and so is not safe for use in animals. Giuliano and colleagues are working on developing a GCH inhibitor that is parasite-specific as a possible therapy.

“There was an entire half of the folate metabolism pathway that previously looked like it wasn’t important for parasites, simply because people add so much folate to cell culture media,” Giuliano says. “This is a good example of what can be missed in cell culture experiments, and what’s particularly exciting is that the finding has led us to a new drug candidate.”

Another gene of interest was RASP1. The researchers determined that RASP1 is not involved in initial infection attempts, but is needed if the parasites fail and need to mount a second attempt. They found that RASP1 is needed to reload an organelle of the parasites called a rhoptry that the parasites use to breach and reprogram host cells. Without RASP1, the parasites could only deploy one set of rhoptries, and so could only attempt one invasion.

Identifying the function of RASP1 in infection also demonstrated the importance of studying how parasites interact with different cell types. In cell culture, researchers typically culture parasites in fibroblasts, a connective tissue cell. The researchers found that parasites could invade fibroblasts with or without RASP1, suggesting that this cell type is easy for them to invade. However, when the parasites tried to invade macrophages, an immune cell, those without RASP1 often failed, suggesting that macrophages present the parasites with more of a challenge, requiring multiple attempts. The screen uncovered other probable cell-type specific pathways, which would not have been found using only model cell types in a dish.

The screen also highlighted a previously unnamed gene that the researchers are calling GRA72. Previous studies suggested that this gene plays a role in the vacuole or protective envelope that the parasite forms around itself. The Lourido lab researchers confirmed this, and discovered additional details of how the absence of GRA72 disrupts the parasite vacuole.

A rich resource for the future

Lourido, Giuliano, and colleagues hope that their findings will provide new insights into parasite biology and, especially in the case of GCH, lead to new therapies. They intend to continue pulling from the treasure trove of results—their screen identified many other genes of interest that require follow-up—to learn more about apicomplexan parasites and their interactions with mammalian hosts. Lourido says that other researchers in his lab have already used the results of the screen to guide them towards relevant genes and pathways in their own projects.

“This is an outstanding resource,” says Lourido, who is also an associate professor of biology at MIT. “The results of the screen reveal such a broader spectrum of ways in which the parasites are interacting with hosts, and enrich our perception of the parasites’ abilities and vulnerabilities.”

“Vaults” within germ cells offer more than safekeeping

Ribonucleoprotein (RNP) granules are believed to preserve maternal mRNA within eggs and developing embryos. The Lehman Lab reveals that a specific type of RNP granule also plays an active role in translating the mRNA that is crucial for specifying germ cells.

Shafaq Zia | Whitehead Institute
July 2, 2024

Maternal messenger RNAs (mRNAs), located within the cytoplasm of an immature egg, are crucial for jump starting development. Following fertilization, these mRNAs are passed onto the zygote, the first newly formed cell. Having been read from the maternal DNA genetic code, they serve as the sole templates for protein production essential for early development until the zygote’s own genes become active and take over.

Many maternal mRNAs are stored in ribonucleoprotein (RNP) granules, which are a type of membrane-less compartments, or condensates, within eggs and developing embryos. These granules are believed to preserve the mRNA in a “paused” state until the encoded proteins are needed for specific developmental processes upon fertilization of the egg cell. Then, certain developmental signals kick in to instruct the RNP granules to release the stored mRNA so the instructions can be translated into a functional protein.

One type of RNP granules called germ granules is found in embryo germplasm, a cytoplasmic region that gives rise to germ cells, which become the eggs or sperms of adult flies. Whitehead Institute Director Ruth Lehmann studies how germ cells form and transmit their genetic information across generations. Her lab is particularly interested in understanding how germ granules in embryos localize and regulate maternal mRNAs.

Now, Lehmann, along with graduate student Ruoyu Chen and colleagues, has uncovered that the role of germ granules in fruit flies (Drosophila melanogaster) extends beyond safeguarding maternal mRNAs. Their findings, published in the journal Nature Cell Biology on July 4, demonstrate that germ granules also play an active role in translating, or making into protein, a specific maternal mRNA, called nanos, crucial for specifying germ cells and the abdomen of the organism.

“Traditionally, scientists have thought of RNP granules as a dead zone for translation,” says Chen. “But through high-resolution imaging, we’ve challenged this notion and shown that the surface of these granules is actually a platform for translation of nanos mRNA.”

RNP granules act as vaults

Within a developing embryo, various fate-determining proteins dictate whether a cell will become a muscle, nerve, or skin cell in a fully-formed body. Nanos, a gene with conserved function in Drosophila and humans, guides the production of Nanos protein which instructs cells to develop into germline. Mutations in the nanos gene cause sterility in animals.

During early embryonic development, Nanos protein also helps establish the body plan of the fruit fly embryo — it specifies the posterior end or abdominal region, and guides the ordered development of tissues along the length of the body, from head to tail. In embryos with impaired Nanos function, the consequences are fatal.

“When Nanos protein isn’t functioning properly, the fruit fly embryos are really short,” says Chen. “This is because the embryo has no abdomen, which is basically half of its body. Nanos also has a second function that is conserved from flies to humans. This function is very local and instructs the cells with lots of Nanos to become germ cells. ”

Given Nanos’ vital role, embryos must safeguard instructions for its production until the embryo reaches a specific stage of development, when it is time to define the posterior region. Previous work has indicated that germ granules in the germplasm and germ cells can act like vaults, shielding the nanos mRNA from degradation or premature translation.

However, while the mRNA instructions for building the protein are distributed throughout the embryo, Nanos protein is found only in regions where germ granules reside. The mRNA does not get translated elsewhere in the embryo because of a regulatory protein called Smaug, named after the golden dragon depicted in J. R. R. Tolkien’s 1937 novel The Hobbit. Smaug binds to a non-protein coding segment of the mRNA known as the 3’ untranslated region (3’ UTR), extending beyond the protein-coding sequence, effectively suppressing the translation process.

For Lehmann, Chen, and their colleagues, this hinted at an intriguing relationship between nanos mRNA and germ granules. Are the granules essential for translating nanos mRNA into a functional protein? And if they are, is their role primarily to serve as a safekeeping place to evade repression by Smaug or do they actively facilitate the translation of nanos mRNA too?

To answer these questions, the researchers combined high-resolution imaging with a technique called the SunTag system to directly visualize the translation of nanos mRNA within Drosophila germ granules at the single-molecule level.

Unlike green fluorescent protein tagging, where a single fluorescent molecule is used, the SunTag system allows scientists to recruit multiple GFP copies for an amplified signal. First, a small protein tag, known as the SunTag, is fused with the protein-producing region of the nanos mRNA. As the mRNA instructions undergo translation, GFP molecules stick to the newly synthesized SunTag-Nanos protein, resulting in a bright fluorescent signal. Overlying this translation signal with fluorescent probes specifically labeling the mRNA then allows researchers to precisely visualize and track when and where the translation process is taking place.

“Using this system, we’ve discovered that when nanos mRNA is translated, it protrudes slightly from the surface of the granules like snakes peeking out of a box,” says Chen. “But they can’t fully emerge; a part of their sequence, specifically their “back” end, the 3’ UTR, remains tucked inside the granules. When the RNA is not translated, like during oogenesis, the tip coils back and is hidden inside the granule.”

With their high-resolution SunTag imaging technique, Lehmann, Chen and their colleagues have directly added to the work of other researchers with similar observations: mRNAs in the process of translation are in an extended configuration, while the 5’UTR curls back to the 3’UTR when the mRNAs are repressed.

Flipping on nanos translation

Then, the researchers went on to take a closer look at how these granules help initiate translation, while Smaug is able to inhibit the same nanos mRNA molecules from being translated in other areas of the embryo. They hypothesized that the untranslated region (UTR) of nanos mRNA, which remains concealed within the granules, might be playing a pivotal role in the translation process by localizing the mRNA instructions within germ cell granules. This localization, they speculated, protects the mRNA from Smaug’s inhibitory actions and facilitates Nanos protein production, so the posterior region can develop properly.

However, counter-intuitive to a simple protection model, they found that rather than being depleted, Smaug is enriched within germ granules, indicating that additional mechanisms within the RNP granule must counteract Smaug’s inhibitory effects. To explore this, the researchers turned to another regulatory protein called Oskar, which is known to interact with Smaug.

Discovered by Lehmann in a 1986 study, and named after a character in the German novel The Tin Drum, the oskar gene in Drosophila is known to help with the development of the posterior region. Later research has revealed that, during the development of oocytes, Oskar acts as a scaffold protein by initiating the formation of germ granules in germ cells and directing mRNA molecules, including nanos, towards the granules.

To gain a deeper understanding of Oskar’s full role in translational regulation in germ granules and its interaction with Smaug, the researchers engineered a modified version of Oskar protein. This altered Oskar protein retained its ability to initiate the formation of germ granules and localize nanos mRNA within them. However, Smaug no longer localized to the germ granules assembled by this altered Oskar.

The researchers then studied whether the mutant protein had any effect on nanos mRNA translation. In the germ cells with this mutant version of Oskar, the researchers saw a significant reduction in the translation of nanos mRNA. These findings, combined, suggested that Oskar regulates nanos translation in fruit fly embryos by recruiting Smaug to the granules and then counteracting its repression of translation.

“Condensates composed of RNAs and proteins are found in the cytoplasm of pretty much every cell and are thought to mediate mRNA storage or transport,” says Lehmann, who is also a professor of biology at the Massachusetts Institute of Technology. “But our results provide new insights into condensate biology by suggesting that condensates can be also used to specifically translate stored mRNAs.”

Indeed, in the oocyte, the germ granules are silent and only become activated when the egg is fertilized.

“This suggests that there might also be other ‘on and off switches’ governing translation within condensates during early development,” adds Lehmann. “How this is achieved and whether we could engineer this to happen at will in these and other granules is a question for the future.”