Dr. Nils Walter: Life in Flux: Dynamic RNA:Protein Complex Assembly Shapes Biomolecular Function

Live blogger: Ryan Schildcrout

Editor: Brenna Saladin

This piece was written live during the 10th annual RNA Symposium, “RNA Frontiers: From Mechanisms to Medicine” hosted by the University of Michigan’s Center for RNA Biomedicine.

Dr. Nils Walter opens his keynote speech by acknowledging the 10th annual RNA symposium. As a co-founder of the Center for RNA Biomedicine here at the University of Michigan, his excitement for the innovations proposed here is palpable. We feel similarly here at Michigan Science Writers for our 10th year celebration. Walter goes on to say that RNA biomedicine is unique–it offers the fastest path from fundamental discovery to medicine. He emphasizes that this symposium is all about collaboration in working towards swift translation from discovery to medicine. 

With the wisdom that science depends on teamwork, Walter emphasizes the importance of building connections between scientists of varied skills, which he says is the key to innovation. He likens scientific collaboration to success on the football field, showing a video of the Michigan football team securing a touchdown, where success in scientific research–and biology itself–depends on the dynamic assembly of its elements. 

Turning specifically to RNA biology, Walter challenges the current scientific paradigm of viewing biological structures as stable complexes. For example, cryo electron microscopy (cryo-EM) is able to show the 3D structure of a protein complex, but it does not necessarily capture how that complex may change shape in a dynamic environment, either conformationally or compositionally. He says that this shift towards thinking of biomolecules as being dynamic is important for understanding biological processes. Walter compares thinking of complexes in only their thermodynamically stable result seen in cryo-EM structures is like determining if a wide receiver will score a touchdown based on how the players formation before the ball is snapped–it is difficult to predict the end result without seeing how the players move afterwards.  

With the speed of a running back in the open field, Walter dives right in to describing the first of three research areas: riboswitches. Riboswitches are RNA structures that recognize ligands extremely specifically, and undergo conformational changes (changes in molecular shape) that signal if a particular protein should be made or not. Riboswitches are almost exclusively found in bacteria. They enable quick circuit feedback loops which can regulate gene expression (the formation of proteins from underlying genetic signals) for two to four percent of bacterial genes. His lab studies a riboswitch that interacts with manganese to control the speed with which proteins are made. By using green and red fluorescent tags, he can see changes between the open and closed state of the riboswitch in real time and measure its kinetics (which he shows a video of simultaneously). This method is called fluorescence resonance energy transfer (FRET). 

FRET operates based on a donor and acceptor fluorophore. The donor by itself will give a fluorescent signal (green). When this fluorophore is in close proximity to the acceptor, it will actually give energy away to the acceptor, which then allows the acceptor to fluoresce (red signal). In this way, they can tag different regions of the molecule (in this case different sections of the RNA) and when these come together they will see that signal change in color. Walter then poses the question: how exactly does manganese specifically alter transcription? 

Of course, the kinetics of the riboswitch alone do not tell the whole story. It works in context with transcription, which involves other factors that can impact the riboswitch kinetics. Transcription requires polymerases, which are proteins that facilitate RNA synthesis from a DNA template. He describes a study where they looked at transcription over time with and without manganese, and they found that it is not a perfect “on” or “off” switch. Furthermore, a cofactor NusA, which sits at the exit channel of the polymerase, plays a role in transcription. While cryo-EM experiments show that NusA is stable, Walter found that NusA was constantly binding and dissociating readily. However, within the presence of manganese, NusA doesn’t bind as well. These single-molecule experiments showed the stabilizing effects of manganese and its impact on transcriptional speed via NusA binding. In this way, NusA works to only “tap on the break,” of transcription, if you will, which Walter describes as similar to an anti-lock break system of transcriptional control. The ability of NusA to sense its environment and tap on the break comes from kinetic competition, and to hammer this point home, Walter shows a video of the Michigan football team sacking an Ohio State quarterback. 

Walter then talks about a new update to this paradigm, looking at a more complex riboswitch that is sensitive to glycine. Glycine generally stabilizes transcription, but when the binding site is mutated, the switching becomes less prevalent. They performed the same transcription assay where they looked at the products changing over time, and again found that the presence of NusA made the pauses in transcriptional readthrough longer. This suggests that glycine and NusA amplify each other’s activity. Through constant binding and dissociating, NusA displays a uniquely nuanced form of gene regulation. Although the dynamics here are complex, the take-home message is that cooperation between molecules leads to control of transcription, which Walter again uses the video of a Michigan sack against Ohio State to make sure we remember. Walter says that these riboswitches may end up being the “Achilles’ heel” to fight bacteria. 

Walter then moves to a different regulatory machine, describing his studies in gene silencing in mammals via miRISC (microRNA-induced silencing complex). While miRNA is known to silence and degrade mRNA, the dynamics surrounding how the miRISC protein complex moves throughout the cell and binds to its targets is still not fully understood. He measured miRISC:mRNA interactions through live cell imaging. Walter found that miRISC performs three-dimensional searching, where it binds, scans a short region to determine if there is a binding site, falls off, and continues repeating this process until it finds a correct binding (in contrast to two-dimensional searching, which would involve binding to mRNA and scanning along its entirety for a binding site, a much slower process). This reversible binding leads to its ability to jump to a large number of mRNAs to regulate, leading to the suppression or degradation of RNA throughout the cell. By looking at the miRNAs bound to the miRISC complex at many time points, Walter proposes that by using the FRET system in this context, he gains an understanding of the kinetics of binding and dissociation, capturing the dynamics of the system. Interrogating miRISC binding transiently could lead to a better understanding of how different regulatory pathways are triggered, such as suppression versus degradation. 

The third and final element of the presentation starts with an exploration of the Ship of Theseus in context with biology. The Ship of Theseus begs the question: if all the elements of the ship are replaced, does the ship remain the same? Biology is all about replicating structures using different matter–coding and decoding information that translates to physical action for sustaining life’s essential functions. In this way, there are many different Ships of Theseus in the cell. Walter displays the movie poster for “Everything Everywhere All at Once,” pointing out that everything interacts with each other, and cellular elements that work together over time, or work fast enough, are the interactions that can impact function. 

Phase separation, or the compartmentalization of different cellular elements, influences how those elements interact. The Michigan football team appears on the projector again, this time in an on-field brawl, and Walter emphasizes how the dynamics of humans interacting is highly dependent on their proximity to the center of the brawl. Similarly, phase separation in cells has a similar formula, where things stick to each other on the inside of the mass and exchange out on the periphery. 

To view this in live cells, Walter presents an experiment where they added high salt to media to create phase-separated particles quickly, which resulted in phase separation for about a third of cellular proteins, an unprecedentedly large number. Walter looked towards analyzing this phase separation by using the FUS protein, which is commonly studied due to its intrinsically disordered region that makes it prone to phase separation. When FUS phase separates, it behaves like a droplet. Interestingly, FUS is often mutated in ALS, which influences its propensity to phase-separate and can contribute to the ALS disease state. When imaging cells with FUS that are phase-separated using salt, they observed that the FUS proteins have tendencies to stay close to certain areas. Proteins and mRNA form into different domains within the droplet, and differences in domain density lead to the molecules being able to travel at different speeds throughout the droplet. These phase-separated droplets can have different textures, and over time, these particles turn from liquid to being gel-like fibers. In doing so, FUS gets stuck in the gel, and can no longer transport to the nucleus to perform its normal functions. 

Walter found that these domains, which come from the stickiness stemming from protein folding, are an unintended positive effect of two FDA-approved drugs for treating ALS, where the FUS protein is sequestered to the surface to form fibers, where it will no longer cause disease. He states that this could present a mechanism for therapeutic approaches, where modulating phase separation can help curb diseases that stem from aberrant proteins. 

Dr. Walter’s research relies on the idea that biology is dynamic, transient, and cooperative, and he shows throughout his talk that great discoveries will come from appreciating the cell’s ability to control its behavior over time. This idea, which he terms compositional dynamics, is the same driver that leads to success on the football field. As he thanks the auditorium and readies himself for questions, a final video of the Michigan football team scoring a touchdown yields a thunderous applause. 

Dr. Nils Walter Bio from RNA symposium website: 

Nils G. Walter is the Francis S. Collins Collegiate Professor of Chemistry, Biophysics & Biological Chemistry at the University of Michigan, Ann Arbor, where he co-directs the Center for RNA Biomedicine and directs the Single Molecule Analysis in Real-Time (SMART) Center. Trained at the Technical University of Darmstadt (Diploma with Hans-Günther Gassen) and the Max-Planck Institute in Göttingen (Dr.-Ing. with Nobel laureate Manfred Eigen), he completed postdoctoral work in RNA biophysics before joining the Michigan faculty in 1999 and rising through the ranks.

Walter’s laboratory develops and applies single-molecule and super-resolution fluorescence methods to reveal how noncoding RNAs and RNA:protein machines fold, interact, and function in vitro and in living cells. His group’s methodological and conceptual advances have illuminated heterogeneous folding and catalysis in ribozymes and riboswitches, the biochemistry of the splicing and RNA silencing machineries, intracellular RNA trafficking and RNA:protein complex phase separation, and new paradigms for ultra-sensitive RNA, DNA and protein biomarker detection. These contributions—published in leading journals including Science, Nature, Cell, Molecular Cell, Nature Nanotechnology and Nature Methods—have established single-molecule fluorescence as a central tool for RNA biology.

A committed institutional builder, Walter founded the SMART Center (NSF MRI support) and co-founded the Center for RNA Biomedicine, initiatives that have expanded campus capabilities in RNA therapeutics and advanced microscopy and achieved a national profile. He also served as Faculty Director of the Biomedical Microscopy Core and as Associate Director of the University of Michigan PREP postbac program, and he has a long record of mentoring successful graduate students and postdocs. Walter’s honors include the Camille Dreyfus Teacher-Scholar Award, the RNA Society Mid-Career Award, election as an AAAS Fellow, and institutional awards for mentoring and service. He has received sustained federal support (including an NIH R35 MIRA) and is author of more than 230 peer-reviewed publications (h-index ≈ 69), reflecting a sustained impact on RNA biophysics, translational RNA science, and microscopy.


Ryan is a Ph.D. student in the Biomedical Engineering department at the University of Michigan. His research in Dr. Sriram Chandrasekaran’s lab leverages data-driven machine learning models to study metabolic regulation in cancer. Before starting his doctoral studies, Ryan completed his BFA in music and BSE/MS in biomedical engineering at the University of Michigan. He enjoys running, making music, cooking, hiking, and playing basketball.

To view the original blog post, visit the Michigan Science Writers (MiSciWriters) website at https://misciwriters.com/2026/03/08/dr-nils-walter-life-in-flux-dynamic-rnaprotein-complex-assembly-shapes-biomolecular-function/

Tiny traps, big trouble: Small regions within cells aggregate proteins linked to ALS, dementia

Biomolecular condensates are tiny assembly factories or warehouses in the cytoplasm of cells that help regulate how cells divide and respond to stress by sequestering and processing RNA and proteins. Image credit: Adobe Stock
Biomolecular condensates are tiny assembly factories or warehouses in the cytoplasm of cells that help regulate how cells divide and respond to stress by sequestering and processing RNA and proteins. Image credit: Adobe Stock

ANN ARBOR—Inside the cell reside many tiny assembly factories and warehouses that gather together all of the proteins and RNAs—which carry out instructions from our DNA—that a living being needs. 

These assemblies, called biomolecular condensates, help regulate how cells divide and respond to stress by sequestering and processing RNA and proteins. However, they don’t have a membrane that separates them from the rest of the nucleus. Instead, their machinery condenses together, similar to how water vapor fleetingly condenses to form clouds in the sky, says University of Michigan professor of chemistry Nils Walter

But scientists aren’t sure how the processes work that control the fate of these biomolecular droplets. Imaging these processes has proven difficult: Everything within a cell moves and is hard to pinpoint, and biomolecular condensates have a tendency to roll around when placed on a microscope slide for examination.

Now, U-M researchers led by Walter have developed a method to examine the interior of the droplets, focusing on a protein called fused in sarcoma, or FUS, which often condenses in patients with the neurodegenerative disease amyotrophic lateral sclerosis, or ALS. They found that the movements of RNA and protein molecules within these biomolecular condensates are slowed down within distinct, infinitesimal areas that the researchers call nanodomains. Over time—as the condensates age—the nanodomains move to the droplet’s surface.

The researchers also applied drugs used to treat ALS and similar diseases to the biomolecular condensates, and saw that the drugs may act, in part, by speeding up the nanodomain movement to the droplet surface, accelerating the formation of fibrils there. These fibrils are thought to protect neurons from degrading since they soak up smaller toxic aggregates during the progression of ALS. 

The findings, which were supported by the National Institutes of Health, U.S. National Science Foundation and Chan Zuckerberg Initiative, are reported in Nature Nanotechnology.

“There is a lot of hope that by manipulating these condensates, we can use them for medical purposes, such as slowing neurodegenerative disease, making them a repository for drugs that can be released slowly over time, or sequestering unwanted proteins such as those that are cancer- or virus-related by inducing them to form condensates,” said Walter, director of the Center for RNA Biomedicine at U-M. “Understanding how they form—and what develops inside of them as they age—is essential for finding ways to influence the process beneficially.”

FUS is a central regulator of cellular RNA metabolism and condenses when cells undergo a stress conduction called hyposmotic phase separation. Under this condition, the cell experiences a higher than normal concentration of salt, which causes the cell to adapt by shedding water and shrinking by up to 50%. After a while, when the stress is not released, cells start gene expression programs to inflate themselves again. FUS condensation may play a role in facilitating the correct programs. 

Certain genetic mutations of FUS lead to cancers and neurodegenerative diseases like ALS. Upon mutation, FUS accumulates and then condenses in the cell’s cytoplasm. The clumping of FUS over time is linked to ALS and frontotemporal dementia. But capturing the progression of this pathological change is difficult, the researchers say, as is capturing images of how FUS condenses and the condensates age.

To study how FUS condenses, the researchers purified a full-length form of the protein. They first added a type of sugar to the protein that prevents it from condensing, and which they could remove at will, triggering the protein’s condensation. The researchers tagged an RNA probe and the protein with two different colors of fluorescent dyes. This allowed them to use fluorescence microscopy to follow the diffusion of single RNA and protein molecules in the condensed droplets.

But they had one more hurdle to overcome: the biomolecular condensate droplets are difficult to hold in place in order for a microscope to examine them, Walter says.

“If you make a condensate and put it on a microscope slide, it can roll over the surface or wiggle back and forth. If that happens, then the particle tracking gets messed up,” Walter said. “So you have to immobilize the condensates on the surface, but you have to do that in a very judicial way. For example, if you have too many anchors on the surface of the condensate, it just flattens out. It becomes a pancake.”

The research team found a happy medium of just enough anchors to keep the droplet still, and using a type of microscopy called HILO microscopy, the researchers could track the movements of individual molecules within the droplet. This allowed them to see where particles were congregating within the droplet.

The technique also allowed the researchers to watch fibrils form around these FUS condensates. The researchers then applied small molecule drugs used to treat ALS to the biocondensates to see how they affected the FUS proteins. They found that the drugs caused the nanodomain clusters of FUS to move more quickly to the surface of the condensate, from where the fibers grew. 

“But what our findings mean overall is that, for the first time, we see these nanodomains as potential seeds to these fibers,” Walter said. “Maybe the drugs we used, edaravone and especially riluzole, have another effect beyond those known, by helping the condensates to fibralize faster and protect the neuron.”

Walter says understanding the mechanisms within biomolecular condensates is an important topic for researchers right now.

“The field of phase condensation has exploded. There are many of these phase condensates in cells that either accelerate reactions or sequester things away so they cannot wreak havoc,” he said. “There’s a lot of biology being learned in a fast-moving area of biology.”

Study: Nanoscale domains govern local diffusion and ageing within fused-in-sarcoma condensates (DOI: 10.1038/s41565-025-02077-x)

Read the full story published in Michigan News by Morgan Sherburne.

Scalable AI tracks motion from single molecules to wildebeests

U-M researchers build artificial intelligence that discovers unique molecule behaviors in fluorescence microscopy—and could soon follow particles, wild animals or even celestial bodies

An RNA molecule is illuminated by a laser light near a slide surface nearby a neural network. Image credit: Nils Walter, University of Michigan
An RNA molecule is illuminated by a laser light near a slide surface nearby a neural network. Image credit: Nils Walter, University of Michigan

by Morgan Sherburne, Michigan News

University of Michigan researchers have developed a tool powered by artificial intelligence that can help them examine the behavior of a single molecule out of a sea of information in the blink of an eye—or at least overnight.

Understanding the behavior of single molecules is important: it can lead to knowledge of different cellular processes or track how diseases begin and progress. To track the behavior of single molecules, researchers tag the molecules with what’s called a fluorophore. They excite these fluorophores with a laser, then use powerful microscopes to follow the behavior of the tagged molecules over time.

But identifying important behaviors of these tagged molecules requires sifting through the vast amounts of data this kind of microscopy often produces. This requires an incredible amount of time, attention and luck—and even then, researchers can miss important information.

To combat this, the U-M research team developed META-SiM. Unlike task-specific AI models which focus on a single problem, such as language translation, the researchers developed META-SiM as an AI foundation model. Foundation models are large-scale AI models trained on many different kinds of experiments and analyses and a massive amount of data. This allows the tool to conduct a wide variety of analyses and scan through entire datasets to identify interesting behaviors that need further study.

A scientist performs single molecule fluorescence microscopy in the Single Molecule Analysis in Real-Time (SMART) Center directed by  Nils Walter, co-director of the Center for RNA Biomedicine at the University of Michigan. Image credit: Austin Thomason, Michigan Photography
A scientist performs single molecule fluorescence microscopy in the Single Molecule Analysis in Real-Time (SMART) Center directed by Nils Walter, co-director of the Center for RNA Biomedicine at the University of Michigan. Image credit: Austin Thomason, Michigan Photography

The study, supported by the National Institutes of Health, is published in Nature Methods. Jieming Li and Leyou Zhang, former U-M graduate student researchers, led the work.

While currently focused on the evolution of a signal strength over time, reflecting different states, down the road the researchers say META-SiM’s algorithm can move beyond molecules and track other phenomena such as single particle diffusion, animal migration patterns or even the movement of asteroids through our solar system.

“The idea is to grow from single molecules to any larger scale. In principle, data have similarities to one another, and this AI algorithm is able to find out what those similarities are—as well as any deviations—no matter what scale you’re working at,” said senior study author Nils Walter, co-director of the Center for RNA Biomedicine. “We could also track, say, the movement of wildebeests across Kenya and Tanzania, or even potentially celestial bodies moving across the universe.”

The researchers developed META-SiM by training it on millions of simulated traces that imitate many types of behaviors that molecules display in the lab. But one real-world example of what META-SiM could track is a frequent cellular origin of human genetic diseases, Walter said.

A single molecule fluorescence microscope in the lab of Nils Walter, co-director of the Center for RNA Biomedicine at the University of Michigan. Image courtesy: Nils Walter Lab
A single molecule fluorescence microscope in the lab of Nils Walter, co-director of the Center for RNA Biomedicine at the University of Michigan. Image courtesy: Nils Walter Lab

Our body produces different types of proteins for different types of cells—skin, muscle, bone or eye and so on—and their function. One way it does this is by splicing pieces of genetic information from our DNA together in different ways. When fused together properly, this information, called exons, becomes a messenger RNA. This mRNA then expresses a protein tailored to a specific organ.

But 60% of human genetic diseases occur because of malfunctions that occur when this genetic information is spliced together. META-SiM could theoretically find sporadic instances where the mis-splicing occurs, and then suggest therapies to combat the mistake.

Co-author and U-M research scientist Alexander Johnson-Buck likens looking for the behavior of a single molecule to a complex game of Where’s Waldo?, the children’s book series in which the goal is to find one tiny person wearing a red hat, glasses and a red-and-white-striped sweatshirt among huge crowds of people, sometimes wearing similar clothes.

“Doing analysis on large data sets like our single molecule fluorescence microscopy data is like doing a Where’s Waldo? puzzle where you’re trying to find Waldo,” Johnson-Buck said. “Except maybe instead of a single page, it’s hidden on dozens of pages or more, and maybe you don’t know what Waldo looks like, and there might be multiple Waldos.”

While META-SiM still cannot zero in on Waldo, what it can do is show scientists areas where Waldo might be hiding.

“It accelerates analysis and finds the key things that you would normally have to sift through the data for half a year or so to find basically overnight,” Walter said.

According to Johnson-Buck, “you will still need an expert to interpret that discovery and to put it into context, but it makes the discovery aspect potentially a lot faster.”

Study: Foundation model for efficient biological discovery in single-molecule time traces, Nature Methods (2025). DOI: 10.1038/s41592-025-02839-4.

Journal information: Nature Methods 


Originally published in Michigan News by Morgan Sherburne.

Published in Phys.Org, edited by Sadie Harley