Cell migration influences many processes in the body, including how immune cells travel to an infection site, how the brain develops and how wounds are repaired. It is also exploited by disease cells, such as in metastatic cancer. While cell movement is known to be directed by the interaction between two protein families, GPCRs and chemokines, the vast similarities between members of each family have presented a challenge in understanding how the correct pairs form and control the movement of relevant cells. The researchers developed data science approaches to identify the exact parts of each protein governing their molecular interactions.

“We found that cells have an elegant system that uses structure and disorder together to control cell migration,” said senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science and Center of Excellence for Data-Driven Discovery director, Department of Structural Biology. “With that understanding, we can now rationally introduce small changes in a chemokine’s structure to ultimately alter cell migration in desired ways.”

Small, disordered regions provide order to chemokines-GPCR pairs

The scientists uncovered how chemokines and their receptors bind select members of the GPCR family by data mining protein sequences and structural information. They compared all human chemokine-binding GPCRs and all chemokines, then compared similar chemokines and GPCRs from other species. They also looked at each protein individually at a population level, finding places that stayed the same across groups and those that differed.

“Through our data analysis, we discovered that the information for how chemokines and GPCRs select for each other is stored in small, discrete packages of highly unstructured, disordered regions,” said first and co-corresponding author Andrew Kleist, MD, PhD, St. Jude Center of Excellence for Data-Driven Discovery, Department of Structural Biology. “The mix of those small packages from both the chemokine and receptor results in the unique interaction, similar to website data encryption keys, which governs cell migration.” Kleist started the work as a graduate student in the laboratory of co-corresponding author Brian Volkman, PhD, Professor of Biochemistry at the Medical College of Wisconsin.

Websites keep sales secure with public and private digital keys. The seller and buyer each possess a public key and a private key, both of which are prime numbers. When the private and public keys are multiplied together, the resulting unique number ensures that only the two parties taking part in the transaction can exchange information while protecting that information from bad actors. The scientists found the disordered regions in these proteins acted like private keys, while the structured regions acted like public keys. The interactions of a chemokine’s disordered region with a GPCR’s structured region, within the greater context of the highly structured portions of each protein, provide cells with a unique chemical identifier for that chemokine-GPCR pair, just like verifying a pair of public and private keys. That unique identifier contains the information for cells to respond appropriately to a particular chemokine-GPCR binding, migrating towards more of that chemokine.

“Once we understood how these proteins interacted, we demonstrated we could rationally mutate them to have different properties,” Babu said. The researchers changed the regions determining the selectivity of a chosen chemokine to alter its receptor binding preferences. Co-author Lindsay Talbot, MD, St. Jude Department of Surgery, showed that the scientists could change how T cells, a type of white blood cell, move, turning down a signal that normally stops their movement.

Making forward movements with chemokines and GPCRs

“Now that we’ve shown a proof of concept, our approach will guide exploration into new medicines and improvements for existing cellular therapies,” Kleist said. “For example, it may be possible to create molecules that better lead immune cells to cancers or help recruit more blood stem cells for bone marrow transplants. In theory, any therapy using cell movement could benefit from applying these principles.”

To enable scientists and clinicians to test this, the collaborators published their data science framework online. The resource is the first step in pushing cell movement manipulation from concept into reality for patients.

“When people think about the body, we think every cell stays in place, but that’s a simplistic view,” Babu said. “Depending on the tissue, cells are moving all the time, and our new understanding of those systems opens novel avenues for therapeutic development.”

The framework to assist the rational design of chemokines and receptors is freely available at: https://github.com/andrewbkleist/chemokine_gpcr_encoding.

The glasses are one of the wizard’s many deceits; the city viewed through green-tinted glasses would, of course, only look more green.

But using a new technique called “Oz,” scientists at the University of California, Berkeley, have found a way to manipulate the human eye into seeing a brand-new color — a blue-green color of unparalleled saturation that the research team has named “olo.”

“It was like a profoundly saturated teal … the most saturated natural color was just pale by comparison,” said Austin Roorda, a professor of optometry and vision science at UC Berkeley’s Herbert Wertheim School of Optometry & Vision Science, and one of the creators of Oz.

Oz works by using tiny doses of laser light to individually control up to 1,000 photoreceptors in the eye at one time. Using Oz, the team is able to show people not only a green more stunning than anything in nature, but also other colors, lines, moving dots and images of babies and fish.

The platform could also be used to answer basic questions about human sight and vision loss.

“We chose Oz to be the name because it was like we were going on a journey to the land of Oz to see this brilliant color that we’d never seen before,” said James Carl Fong, a doctoral student in electrical engineering and computer sciences (EECS) at UC Berkeley.

“We’ve created a system that can track, target and stimulate photoreceptor cells with such high precision that we can now answer very basic, but also very thought-provoking, questions about the nature of human color vision,” Fong said. “It gives us a way to study the human retina at a new scale that has never been possible in practice.”

The Oz technique is described in a new study published last week in the journal Science Advances. The work was funded in part by federal grants from the National Institutes of Health and the Air Force Office of Scientific Research.

Untapped photoreceptors

Humans are able to see in color thanks to three different types of photoreceptor “cone” cells embedded in the retina. Each type of cone is sensitive to different wavelengths of light: S cones detect shorter, bluer wavelengths;, M cones detect medium, greenish wavelengths; and L cones detect longer, reddish wavelengths.

However, due to an evolutionary quirk, the light wavelengths that activate the M and L cones are almost entirely overlapping. This means that 85% of the light that activates M cones also activates L cones.

“There’s no wavelength in the world that can stimulate only the M cone,” said study senior author Ren Ng, a professor of EECS at UC Berkeley, “I began wondering what it would look like if you could just stimulate all the M cone cells. Would it be like the greenest green you’ve ever seen?”

To find out, Ng teamed up with Roorda, who had created a technology that used tiny microdoses of laser light to target and activate individual photoreceptors. Roorda calls the technology “a microscope for looking at the retina,” and it is already being used by ophthalmologists to study eye disease.

But for a human to actually perceive a whole new color, Ng and Roorda would need to find a way to activate not just one cone cell, but thousands of them.

A movie screen the size of a fingernail

Fong first started working on the Oz project in 2018 as an undergraduate engineering student, and has created much of the complex software needed to translate images and colors into thousands of tiny laser pulses directed at the human retina.

“I joined after meeting this other student who was working with Ren, who told me that they were shooting lasers into people’s eyes to make them see impossible colors,'” Fong said.

For Oz to work, first you need a map of the unique arrangement of the S, M and L cone cells on an individual’s retina. To get these maps, the researchers collaborated with Ramkumar Sabesan and Vimal Prahbhu Pandiyan at the University of Washington, who have developed an optical system that can image the human retina and identify each cone cell.

With an individual’s cone map in hand, the Oz system can be programmed to rapidly scan a laser beam over a small patch of the retina, delivering tiny pulses of energy when the beam reaches a cone that it wants to activate, and otherwise staying off.

The laser beam is just one color — the same hue as a green laser pointer — but by activating a combination of S, M and L cone cells, it can trick the eye into seeing images in full technicolor. Or, by primarily activating the M cone cells, Oz can show people the color olo.

“If you look at your index fingernail at arm’s length, that’s about the size of the display,” said Roorda. “But if we could, we would have filled the entire visual space like an IMAX.”

The ‘wow’ experience

Hannah Doyle, a doctoral student in EECS and co-lead author of the paper, designed and ran the human experiments with Oz. Five human subjects got the chance to see the color olo, including Roorda and Ng, who were aware of the purpose of the study, but not the specifics of what they would see.

In one experiment, Doyle asked the participants to compare olo to other colors. They described it as blue-green or peacock green, and reported that it was much more saturated than the nearest monochromatic color.

“The most saturated colors you can experience in nature are the monochromatic ones. Light from a green laser pointer is one example,” Roorda said. “When I pinned olo up against other monochromatic light, I really had that ‘wow’ experience.”

Doyle also tried “jittering” the Oz laser, directing it ever-so-slightly off target so the light pulses hit random cones rather than only M cones. The participants immediately stopped seeing olo and started seeing the regular green of the laser.

“I wasn’t a subject for this paper, but I’ve seen olo since, and it’s very striking. You know you’re looking at something very blue-green,” Doyle said. “When the laser gets jittered, the normal color of the laser almost looks like yellow because the difference is so stark.”

Probing the nature of color vision

Oz isn’t just useful for projecting tiny movies into the eye. The research team is already finding ways to use the technique to study eye disease and vision loss.

“Many diseases that cause visual impairment involve lost cone cells,” Doyle said. “One application that I’m exploring now is to use this cone by cone activation to simulate cone loss in healthy subjects.”

They are also exploring whether Oz could help people with color blindness to see all the colors of the rainbow, or if the technique could be used to allow humans to see in tetrachromatic color, as if they had four sets of cone cells.

It may also help answer more fundamental questions about how the brain makes sense of the complex world around us.

“We found that we can recreate a normal visual experience just by manipulating the cells — not by casting an image, but just by stimulating the photoreceptors. And we found that we can also expand that visual experience, which we did with olo,” Roorda said. “It’s still a mystery whether, if you expand the signals or generate new sensory inputs, will the brain be able to make sense of them and appreciate them? And, you know, I like to believe that it can. I think that the human brain is this really remarkable organ that does a great job of making sense of inputs, existing or even new.”

Additional authors of the study include Congli Wang, Alexandra E. Boehm, Sophie R. Herbeck, Brian P. Schmidt, Pavan Tiruveedhula, John E. Vanston and William S. Tuten of UC Berkeley. This work was supported by a Hellman Fellowship, FHL Vive Center Seed Grant, Air Force Office of Scientific Research grants (FA9550-20-1-0195, FA9550-21-1-0230), National Institutes of Health grant (R01EY023591, R01EY029710, U01EY032055) and a Burroughs Wellcome Fund Career Award at the Scientific Interface.

Scientists assessed the risk of “tipping” in 16 different parts of the Earth system — ranging from the collapse of major ice sheets to the dieback of tropical coral reefs and vast forests.

Based on current policies and the resulting global warming, their most conservative estimate is a 62% risk of triggering these tipping points on average.

However, more sustainable future pathways — with lower greenhouse gas emissions — significantly reduce the risk of tipping points.

The study, by the universities of Exeter and Hamburg, also found that carbon released by certain tipping points (Amazon rainforest dieback and permafrost thaw) is unlikely to cause enough warming to trigger other tipping points.

“The good news from our study is that the power to prevent climate tipping points is still in our hands,” said lead author Jakob Deutloff.

“By moving towards a more sustainable future with lower emissions, the risk of triggering these tipping points is significantly reduced.

“And it appears that breaching tipping points within the Amazon and the permafrost region should not necessarily trigger others.”

A “tipping point” occurs when a small change tips a system into a new state, causing significant and long-term transformation.

The study assessed tipping point probabilities in five different scenarios, known as shared socioeconomic pathways (SSPs). Professor Tim Lenton, from Exeter’s Global Systems Institute, said: “Climate tipping points could have devastating consequences for humanity.

“It is clear that we are currently on a dangerous trajectory — with tipping points likely to be triggered unless we change course rapidly.

“We need urgent global action — including the triggering of ‘positive tipping points’ in our societies and economies — to reach a safe and sustainable future.”

During the writing phase, Jakob Deutloff was funded by the German Research Foundation. Professor Lenton’s work was supported by the Bezos Earth Fund.

Located in the southern Andes between Chile and Argentina, Patagonia hosts the largest and wettest glaciated region in the Southern Hemisphere outside Antarctica. “The Southern Andes act as a natural barrier, blocking moisture-laden westerly winds from the Pacific Ocean,” explains Brice Noël, climatologist at the University of Liège. “As a result, glaciers locally receive over fifteen metres of snowfall annually, particularly on the western flank of the Andes.”

While snow accumulation at higher elevations contributes to glacier growth, rapid melting occurs at lower altitudes. “Glaciers can extend down to sea level, where warmer air triggers substantial summer melt. This meltwater eventually runs off into the ocean, leading to sea-level rise.” Scientists estimate that since the 1940s, Patagonian glaciers have lost over a quarter of their total ice volume, raising global sea level by 3.7 mm.

High-resolution climate model

The research team from Liège, Leuven, and Delft estimated the surface mass balance of Patagonian glaciers since 1940 — that is, the difference between winter snowfall and meltwater runoff in summer. “We used MAR, our regional climate model developed at the University of Liège,” adds Xavier Fettweis, climatologist at ULiège. MAR is a polar climate model that simulates snow and ice processes on a five-kilometre spatial grid, which is too coarse to represent the small-scale Patagonian glaciers. “High spatial resolution is essential to study the glacier surface mass balance in Patagonia, so we spatially refined our model to a 500-metre grid,” notes Brice Noël. Lower-resolution models fail to accurately capture narrow glacier tongues* that melt rapidly or estimate realistic precipitation over the rugged Andes. “Our high-resolution model closely aligns with in situ and satellite mass loss observations,” confirms Bert Wouters from Delft University of Technology.

What drives glacier mass loss?

Sustained mass loss since 1940 is attributed to a long-term increase in meltwater runoff to the ocean, a consequence of atmospheric warming in Patagonia. “We identify increased surface runoff as the primary driver of glacier mass loss, as snowfall has remained steady since the 1940s,” explains Brice Noël. Surface runoff intensifies when firn — the porous, perennial snow layer covering the upper glacier zones — melts away, exposing the underlying bare ice. “Bare ice is darker than the surrounding firn, thus absorbing more solar energy in turn enhancing melt and runoff,” explains Stef Lhermitte of KU Leuven.

Poleward shift of subtropical highs

Besides the effect of global warming, researchers attribute the fast increase in Patagonian temperatures to a large-scale atmospheric shift, whereby subtropical high-pressure systems migrate poleward. This shift, observed over the past forty years, channels more warm air into Patagonia, thereby amplifying mass loss. Ocean-atmosphere interactions underpinning this circulation change are driven by global warming and are likely to persist in the future. “Complete melting of Patagonian glaciers could raise global sea-level by an extra centimetre,” warns Brice Noël. “Their disappearance would endanger South American communities reliant on summer meltwater supply.” At the current rate of mass loss, scientists project that Patagonian glaciers could vanish within the next 250 years.

* A glacier tongue refers to the downstream extension of a glacier, resembling an icy “arm” descending into a valley or flatter terrain.

Iridium is known for its OER performance but is both scarce and expensive. Efficient use of Ir while maintaining stability is a major challenge for scaling up electrolyzer technologies. This study proposes a solution through a material that maximizes atomic-level efficiency.

The catalyst features a mesoporous spinel structure that allows for high Ir loading (13.8 wt%) without forming large Ir clusters. This configuration enables the formation of Co-Ir bridge sites, which show high intrinsic activity under acidic OER conditions.

Computational analysis indicates that under reaction conditions, oxygen intermediates (O*) fully cover Co3O4 surfaces, which usually passivates Co sites. However, Ir doping reactivates these sites, while simultaneously enhancing the structural integrity of the catalyst.

Leaching of both Ir and Co during reaction was significantly reduced. Compared to conventional Ir/Co3O4 catalysts, Ir and Co loss was lowered to approximately one-fourth and one-fifth, respectively. The catalyst also maintained performance for over 100 hours with an overpotential (η₁₀) of just 248 mV.

“The mesoporous architecture plays a crucial role,” explains Professor Hao Li, who led the study. “It provides space for single-atom Ir loading and helps create a stable environment for catalytic activity.”

The research combines experimental data with computational modeling, and key findings are available through the Digital Catalysis Platform (www.digcat.org), a resource developed by the Hao Li Lab to support catalyst discovery.

This work was supported by the Tohoku University Support Program. Future research will focus on tuning the doping level, scaling up the synthesis process, and exploring integration into commercial electrolyzer systems.