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Searching for flavourful violations of the Standard Model

Every aspect of our world – from atomic nuclei and molecular chemistry to biology and astrophysics – emerges from the interactions of particles so small they are considered point-like. While some particles, like the electron, were discovered over a century ago, most remained hidden until the advent of modern particle accelerators. Particle physicists are dedicated to investigating the laws of nature that dictate how fundamental particles interact and combine to shape our everyday lives. By colliding particles at unprecedented energies inside massive detectors, physicists are able to create powerful magnifying lenses. Accelerators led to the discovery of W and Z bosons, carriers of the weak fundamental force, in 1983 at CERN, as well as to the discovery of the top quark, the heaviest known particle, a decade later at Fermilab (USA). These discoveries supported the experimental foundation of the Standard Model ℠ of particle physics, the theory that describes how all known fundamental particles interact. The greatest triumph of the SM came in 2012 when its last missing piece – the Higgs boson – was discovered by the ATLAS and CMS Collaborations at CERN. The SM is one of the most precisely tested scientific theories, with thousands of experimental results confirming its predictions to remarkable precision. Despite this success, the SM is not the “ultimate theory” of nature. It cannot explain experimental observations such as dark matter, an enigmatic form of matter detectable only through gravitational effects; the origin of neutrino masses, extremely light particles involved in processes like nuclear radioactive decay; nor the striking imbalance between matter and antimatter in the Universe. These unanswered questions have driven researchers to develop theoretical frameworks that go beyond the Standard Model, with many predicting the existence of additional particles and interactions. Despite intensive searches, these hypothetical particles have yet to be observed. This could mean they are too heavy (requiring collision energies beyond the reach of the LHC), that their associated new interactions are too rare to be detected in the current amount of recorded data, or that the theory is simply not borne out by nature. The focus of experimental particle physicists is, therefore, to study higher energies and collect more data, searching for any discrepancies between experimental measurements and SM predictions that could lead towards an ultimate theory of nature. Nothing is truly forbidden in the quantum world. Even “forbidden” transitions are possible so long as they follow several intermediate, rule-following steps. The Standard Model, its flavours and the search for new physics One powerful way to search for new physics phenomena is to look for processes that are expressly forbidden by the SM, occurring only via new interactions. For example, physicists often search for processes that change the properties of a fundamental particle in an unexpected way. In the SM, quarks and leptons (known as fermions) come in different “flavours”. For example, electrons and muons are both charged leptons, but they differ in mass and are therefore considered different flavours. The SM sets strict limits on how fermions can change flavour and which flavours they are allowed to transition to. While the top quark may transition into a bottom, down or strange quark through a weak interaction using the electromagnetically-charged W boson (to conserve charge overall), it is forbidden from transitioning into an up or charm quark, even through an interaction with a neutral boson such as a Z boson, gluon, photon or Higgs boson. Equivalently, while the tau lepton may produce a muon or electron through a W boson interaction (including with the associated neutrinos), it cannot produce a muon or electron through a neutral boson interaction. These rules apply to all quarks and leptons alike. Despite these rules, nothing is truly forbidden in the quantum world. Many of these transitions are physically possible so long as they follow several intermediate steps that adhere to the rules. But each additional step has a cost, reducing the overall probability of the process occurring. Thus, while these “forbidden” flavour-changing processes could occur according to the SM, they would be so rare as to never be detected by the ATLAS experiment, occurring in fewer than one in every 1,014 interactions. But what if ATLAS did detect them? Any observation of these processes would be indisputable evidence of new physics phenomena, indicating that something unknown has drastically increased the probability of these interactions. Particle physicists have even given these forbidden processes a name: those involving quarks are flavour-changing neutral currents (FCNCs), and those involving leptons are lepton flavour violation (LFV) (see Figure 1). Figure 1: The production of a top-quark pair with a subsequent FCNC decay (left) and the production of a Z boson with a subsequent LFV decay (right, where the lepton ‘l’ is an electron or a muon, but not another tau). The forbidden interactions are highlighted with red circles. The pairs of gluons (g) and quarks (q) in the initial state come from the colliding protons. (Image: ATLAS Collaboration/CERN) The search for FCNC interactions in top-quark processes The LHC is the most powerful particle accelerator ever built, colliding bunches of protons every 25 nanoseconds at energies up to 13.6 TeV. Thanks to this unprecedented energy and collision rate, the LHC is often considered a particle “factory”, producing millions of top quarks and billions of Z bosons for study. That’s great news for physicists looking beyond the Standard Model, where the heavier the particle involved in the interaction, the better. Since new particles and interactions likely require large amounts of energy to manifest, they may favour a connection with the heaviest and thus most inherently energetic known particle – the top quark. Searching for FCNC processes involving the top quark is thus considered a powerful technique for uncovering new physics phenomena. In 2023, ATLAS physicists searched for FCNC interactions between a top quark and a Z boson, considering both modified production and decay mechanisms for the top quark (Figure 2). Both would generate a Z boson, a W boson and a bottom quark, with the modified decay also producing an up or charm quark. Physicists focused their search on leptonic decays of the W and Z bosons, with the W decaying to a charged lepton and a neutrino and the Z to a pair of oppositely-charged leptons of the same flavour. In practical terms, this meant looking for collision events with three charged leptons, one neutrino, one bottom quark and, in some cases, one additional up or charm quark. Figure 2: The LHC production of a single top quark via a weak interaction utilising an FCNC vertex (left), and the production of a pair of top quarks via the strong interaction, including a subsequent FCNC decay vertex (right). The FCNC vertices are highlighted with the shaded circles. (Image: ATLAS Collaboration/CERN) While the ATLAS detector is very good at measuring leptons, neutrinos pass through it completely undetected. Their presence can only be inferred from the missing transverse momentum in the collision. Quarks, meanwhile, produce showers of particles in the detector’s calorimeter called jets. Top quarks almost always decay into a bottom quark, which is extremely useful for physicists. Bottom quarks combine briefly with other quarks when they are formed, and so travel farther from the collision point before they decay. The resulting b-jets they produce have unique characteristics. To identify these b-jets (a process called b-tagging) physicists use machine-learning algorithms trained to spot these characteristics. Each jet is scored based on its likelihood of originating from a b-quark. High b-tagging efficiency is crucial for finding top-quark events. However, all algorithms carry an inherent risk of misidentifying jets initiated by other quarks as b-jets. In their 2023 measurement, physicists calibrated their b-taggers to reach an efficiency of 77% for true b-jets, with a rejection factor of 5 for charm-quark-initiated jets (c-jets) and of 170 for lighter-quark-initiated jets. This means that one out of every five c-jets will be misidentified as coming from a bottom quark, and only one out of every 170 light-quark jets. If ATLAS were to observe these flavour-changing processes, it would be indisputable evidence of new physics phenomena. Figure 3: Distributions of recorded events (black points) and of simulated events (filled histograms) as a function of the Boosted Decision Tree output value. The distributions of the expected signal events, considering an FCNC coupling in single top quark production (dashed lines) or an FCNC process in the top quark decay (solid lines) are shown. The signals with an FCNC coupling between a top quark, a Z boson and an up quark (charm quark) are displayed in pink (pale blue). The lower panels show the ratio in each bin of event yields in data to the event yields from simulated background processes. A value of unity indicates that the events in data are in agreement with the predicted backgrounds. (Image: ATLAS Collaboration/CERN) Physicists then defined an event selection tool to search for FCNC signatures, resulting in two signal regions (SR1 and SR2) that would be enriched in these processes. Figure 3 shows the results for the FCNC pair-produced top quarks and FCNC single-produced top quarks respectively, separated only by the number of jets required. The SM background processes resulting in similar final states are the production of a top-quark pair in association with a Z boson (see the light blue histogram in Figure 3) and the production of a pair of W/Z bosons in association with jets (see the orange histograms in Figure 3). Within each signal region, Boosted Decision Trees (BDT, a machine-learning technique) were employed to further separate the FCNC signatures from these SM backgrounds. The output of these BDTs determine the final shape of the distributions, with the aim being to push the FCNC signatures to one side of the distribution and the SM signatures to the other. This procedure was performed for FCNC processes between a top quark and an up quark (pink lines in Figure 3) and, separately, for FCNC processes between a top quark and a charm quark (blue lines in Figure 3). Two interesting features can be observed in the distributions in Figure 3. First, the signal of the FCNC process in top-quark-pair decays is very well separated from backgrounds in the region targeting its signal (SR1), but not in the region targeting the FCNC production of a single top quark (SR2), and vice versa. Second, the sensitivity to the FCNC production of single top quarks is very dependent on whether an up quark or a charm quark initiates the process. As the colliding protons are themselves composed of up quarks and down quarks, the ingredients for an up-quark-initiated process are readily available. This results in good experimental sensitivity. By contrast, the charm-quark-initiated process arises from the constantly fluctuating mixture of “sea” quarks and gluons surrounding each proton, which carry a smaller proportion of the proton’s mass and energy. This reduces the probability for the charm-initiated process occurring, and subsequently reduces the experimental sensitivity. After applying the event selection, physicists compared the data to the SM background prediction, searching for an excess of events that could be an FCNC signal. A statistical analysis was performed to determine whether the number of data events in each bin was larger and statistically incompatible with the predicted number of SM events. No excess was found and limits on the probability of an FCNC top-quark decay into a Z boson and a light quark were obtained. The most stringent limits were set for the top-quark decay into a Z boson and an up quark, which is excluded at probabilities greater than approximately 6 in 100,000 top-quark decays. Figure 4: Summary of the current 95% confidence level observed limits on the branching ratios of the top quark decays via flavour-changing neutral currents (FCNC) to a quark and a neutral boson t → Xq (X = g, Z, ɣ or H; q = u or c) by the ATLAS and CMS Collaborations compared to several new physics models. Each limit assumes that all other FCNC processes vanish. The limits are expressed as FCNC top decay branching ratios, but several are obtained considering both FCNC top quark decay and FCNC top quark production vertices. (Image: ATLAS Collaboration/CERN) The ATLAS Collaboration has performed many further FCNC searches for top quarks in association with gluons, photons and Higgs bosons, and for FCNC interactions of other particles such as the bottom quark. Figure 4 summarises the limits on the top-quark FCNC decay probabilities (branching ratios) obtained by the ATLAS (in blue) and the CMS (in red) Collaborations for various forbidden processes. The search for lepton flavour violation in Z-boson decays Searches for new physics phenomena have already led to the discovery of LFV in neutrinos, through the observation of neutrino oscillations. Neutrino oscillations could also induce LFV in electromagnetically-charged leptons. However, as the probability of this occurring is less than 1 in 1054, any observation would indicate an exciting additional discovery. A variety of experiments are currently searching for LFV processes with different lepton flavours and neutral bosons. This diversity of approaches is important, as new physics phenomena may interact with different leptons and bosons at different rates, and no single experiment can efficiently detect all LFV processes. At high-energy colliders, the most promising opportunities to study LFV processes involve the production of tau leptons alongside massive neutral bosons, such as the Z boson. The LHC, in its role as a Z-boson “factory,” provides fantastic opportunities to search for flavour-violating decays involving the Z boson, such as Z→e or Z→μ where a tau lepton is produced alongside a charged lepton of a different flavour. While searches for LFV involving lighter leptons and massless photons are also viable at the LHC, they can be searched for with greater accuracy in low-energy experiments, i.e. in searches for muon decays into an electron and a photon (μ → eɣ). The ATLAS Collaboration carried out a detailed search for flavour-violating Z→e and Z→μ processes. It was extremely challenging for several reasons, starting with the complicated task of spotting tau leptons. While electrons and muons can be directly detected by ATLAS, tau leptons have a lifetime of just 10–13 seconds and decay before they reach the experiment. The most common tau decay modes include leptonic decays to electrons or muons and their associated neutrinos, or to jets of quarks as described above. Thus, the signature of a flavour-violating Z→e or Z→μ process may well mimic other perfectly viable SM signatures, such as Z→ee. Figure 5: Diagrams of a LFV Z-boson decay (left) and of the two main SM processes which can produce final states experimentally similar to the LFV decays: a Z-boson decay into a pair of tau leptons (middle) and a W-boson decay into a light lepton and neutrino in association with an additional jet (right). The green arrows represent electrons or muons (l), the blue triangles are the jets produced by either the hadronic tau decay ( jet) or by a quark or a gluon (q/g jet), and the dashed blue lines indicate undetected neutrinos. (Image: ATLAS Collaboration/CERN) Figure 5 (left) illustrates a flavour-violating Z-boson decay on a plane perpendicular to the proton beam direction. The unique feature of the LFV process is the alignment of the undetected neutrino (dashed line) and the tau lepton. This configuration, without any additional detected particles, cannot be produced by SM processes. Nevertheless, due to the random nature of quantum processes in the Universe and imperfections in experimental measurements, many SM processes can still look similar enough to cause a problem! The main SM lookalike is a Z-boson decay into a pair of tau leptons, where one tau lepton subsequently decays into a light lepton and two neutrinos and the other into a tau-jet and a neutrino. While the number of detected particles in this SM process matches that of the LFV decay, there’s a greater number of undetected neutrinos (see Figure 5, middle). The second most important SM lookalike involves a W boson produced in association with a jet, where the W-boson decays into a light lepton and a neutrino, and the jet originates from a quark or gluon misidentified as a hadronically decaying tau. In this case, the detected final state is also the same as in the LFV decay, but the neutrino is typically emitted in a direction close to the light lepton instead of the jet (see Figure 5, right). These kinematic differences are the key tool for isolating the LFV signature. Physicists designed a deep neural network (NN) to “learn” the kinematic properties of the signal events and how they differ on average from background events. NNs are extremely effective in this task as they can learn complex correlations among multiple features of an event. Figure 6 shows a histogram of events binned in a NN output (after applying the initial event selections). As with the BDTs in the FCNC searches, the events with high NN scores are more signal-like and the events with low values are more background-like. The red dashed line shows the expected distribution of signal events under an assumption that LFV decays occur as frequently as five in every 10,000 Z-boson decays. As with all previous measurements, no excess above the SM prediction was observed in the data. The ATLAS Collaboration set limits on LFV Z-boson decays into a tau and a light lepton that are stronger than those set by experiments on the Large Electron Positron (LEP) collider. At the 95% confidence level, the ATLAS result established that if these LFV decays do occur in nature, their probability must be less than about five in every one million Z-boson decays. Using similar analysis methods, physicists also set even more stringent limits on LFV Z-boson decays into an electron and a muon. The ATLAS Collaboration’s state-of-the-art searches for FCNC and LFV interactions have produced powerful probes of new physics phenomena. Figure 6: Distribution of recorded events (black points) and of simulated events (filled histograms) as a function of the NN output value. The yellow and blue histograms are the events from the W and Z boson decays shown in Figure 5, respectively. The distribution of the expected signal events is shown with the red dashed line. The lower panel shows the ratio in each bin of event yields in data to the event yields from simulated background processes. A value of unity indicates that the events in data are in agreement with the predicted backgrounds. (Image: ATLAS Collaboration/CERN) Outlook The ATLAS Collaboration’s state-of-the-art searches for FCNC and LFV interactions have produced powerful probes of new physics phenomena. Dedicated FCNC studies set limits on the FCNC top-quark decay branching ratio as tight as 10–5 (Figure 4), while further LFV searches focusing on Higgs-boson decays were also performed. The upper limits on the LFV decay probabilities of the Higgs boson are two orders of magnitude weaker than those for Z bosons, due to the much smaller number of Higgs bosons produced in LHC collisions and the more challenging task of distinguishing events with a Higgs boson from background processes. This sensitivity is expected to improve significantly with the collection of more data. ATLAS physicists also performed a search for a simultaneous FCNC and LFV process using Effective Field Theory in top-quark interactions with light quarks, muons and taus. Although this analysis is also statistically limited, it represents an exciting new direction for future studies. Since 2022, the LHC experiments have been collecting data from proton-proton collisions at a centre-of-mass energy of 13.6 TeV. This data-taking period is expected to provide approximately 1.5 times more Z bosons, Higgs bosons and top-quark pairs than in all previous runs, thanks to both the increased collision energy and the larger dataset ATLAS is recording. But larger datasets aren’t the only factor boosting searches for LFV and FCNC processes! Ongoing advancements in experimental methodologies and the ATLAS Collaboration’s deepening understanding of its ever-evolving detector will further improve sensitivity, driving searches for even rarer interactions. One continuous area of development is ATLAS’ in-house algorithms for identifying charm-quark-initiated jets, analogous to the existing and well-honed b-tagging capabilities. As mentioned above, limits on couplings involving the top and charm quarks are less stringent than those involving the up quark, and these algorithms will boost ATLAS’ charm-quark sensitivity. Looking ahead, further searches will be conducted following the completion of the High-Luminosity LHC (HL-LHC), for which the ATLAS experiment will undergo major upgrades to cope with the much higher luminosity. At the current LHC energy of 13.6 TeV, every time two bunches of protons cross each other an average of 50 overlapping collisions occur. This already makes event reconstruction very challenging. At the HL-LHC, this number will increase to approximately 200 simultaneous collisions. To address this complexity, a new silicon tracking detector, the Inner Tracker (ITk), will be installed in the ATLAS experiment. The ITk features new technologies that provide higher detection granularity, improved radiation hardness, faster readout speeds and a reduced material budget compared to the current inner detector – all of which will enable similar event reconstruction efficiencies to current data-taking, despite the much harsher future conditions. Moreover, the ITk’s extended coverage will enable ATLAS to reconstruct events in regions of the detector that are not currently equipped with a tracker, further extending and improving the data collection. The integrated luminosity that will be collected by the ATLAS experiment during the HL-LHC is expected to be 10 times greater than the total recorded at the LHC. This means that searches for very rare or forbidden processes, such as LFV and FCNC, will remain powerful, exciting and ever improving probes for physics beyond the Standard Model. About the Authors Lidia Dell’Asta joined the ATLAS Collaboration in 2007 while at the University of Milano. She then worked as a postdoctoral fellow at Boston University and as a research fellow at the University of Roma2. She is currently an associate professor at the University of Milano. In addition to her work on the detector trigger system, where she coordinated the muon trigger group, she has been active in data analysis. She has worked on Standard Model measurements as well as the measurement of the coupling of the Higgs boson to tau leptons. Over the past ten years, her research has focused on rare production processes of single top quarks, and she has served as a convener of the Single Top group. She has contributed to the measurement of single top quark production in association with a Z boson and to the search for top–Z FCNC couplings. Jacob Julian Kempster joined the ATLAS Collaboration in 2011 while at Royal Holloway, University of London. He subsequently worked as a Research Fellow at the University of Birmingham and is currently a Senior Research Fellow at the University of Sussex. His research focuses on using the top quark as a tool to search for new physics beyond the Standard Model. He performed the first ATLAS search for lepton flavor violating (LFV) couplings of the top quark to muons and tau leptons, and previously served as a subgroup convener for the Top+X working group. His other primary research area is Effective Field Theory (EFT), where he leads efforts on global EFT fits and recently completed his term as Chair of the LHC EFT Working Group. Daniele Zanzi was an active member of the ATLAS Collaboration until 2024. As researcher at the University of Melbourne, at CERN, and at the University of Freiburg, he has focussed on searching for LFV interactions. He has also contributed to the development and operation of the ATLAS trigger system, to measurements of the Higgs boson properties and to searches for dark matter and supersymmetric particles. About the banner image: Visualisation of a H →μτ candidate event, with the μτe (top) and μτhad (bottom) channel. An electron track is shown in green, a red line indicates a muon. A τhad-vis candidate is displayed in purple, the ETmiss is shown by a white dashed line. (Image: ATLAS Collaboration) Further reading ATLAS looks for top quarks going against the current, ATLAS Physics Briefing, May 2022 New ATLAS result marks milestone in the test of Standard Model properties, ATLAS Physics Briefing, August 2020 Scientific articles Search for flavor-changing neutral-current couplings between the top quark and the boson with proton-proton collisions at 13 TeV with the ATLAS detector (Phys. Rev. D 108 (2023) 32,019, arXiv:2301.11605, see figures) Search for flavour-changing neutral-current interactions of a top quark and a gluon in proton-proton collisions at 13 TeV with the ATLAS detector (Eur. Phys. J. C 82 (2022) 334, arXiv:2112.01302, see figures) Search for flavour-changing neutral-current couplings between the top quark and the photon with the ATLAS detector at 13 TeV (Phys. Lett. B 842 (2023) 137,379, arXiv:2205.02537, see figures) Search for flavour-changing neutral-current couplings between the top quark and the Higgs boson in multi-lepton final states in 13 TeV proton-proton collisions with the ATLAS detector (Eur. Phys. J. C 84 (2024) 757, arXiv:2404.02123, see figures) Top Quarks + X Summary Plots April 2024 (ATL-PHYS-PUB-2024–005) Search for charged-lepton-flavour violation in Z-boson decays with the ATLAS detector (Nature Phys. 17 (2021) 819, arXiv:2010.02566, see figures) Search for the charged-lepton-flavor-violating decay → in proton-proton collisions at 13 TeV with the ATLAS detector (Phys. Rev. D 108 (2023) 32,015, arXiv:2204.10783, see figures) Searches for lepton-flavour-violating decays of the Higgs boson into eτ and μτ in 13 TeV proton-proton collisions with the ATLAS detector (JHEP 7 (2023) 166, arXiv:2302.05225, see figures) Search for charged-lepton-flavor violating interactions in top-quark production and decay in proton-proton collisions at 13 TeV with the ATLAS detector at the LHC (Phys. Rev. D 110 (2024) 12,014, arXiv:2403.06742, see figures) The ATLAS ITk detector system for the Phase-II LHC upgrade (Nucl. Instrum. Methods Phys. Res., Sect. A 1,045 (2023) 167597) Search for flavour-changing neutral tqH interactions with H→γγ in proton-proton collisions at 13 TeV using the ATLAS detector (JHEP 12 (2023) 195, arXiv:2309.12817, see figures) Search for flavour-changing neutral current interactions of the top quark and the Higgs boson in events with a pair of τ-leptons in proton-proton collisions at 13 TeV with the ATLAS detector (JHEP 6 (2023) 155, arXiv:2208.11415, see figures)

Live-cell tracking reveals dynamic interaction between protein folding helpers and newly produced proteins

Proteins are the molecular machines of cells. They are produced in protein factories called ribosomes based on their blueprint—the genetic information. Here, the basic building blocks of proteins, amino acids, are assembled into long protein chains. Like the building blocks of a machine, individual proteins must have a specific three-dimensional structure to properly fulfill their functions.

To achieve this, the newly produced protein chains in human cells are folded into their stable and functional form with the help of various protein folding helper proteins, known as chaperones, such as TRiC/PFD, or HSP70/40. The protein folding helpers isolate the amino acid chains, which have different chemical properties depending on the amino acid, from the cellular environment. This prevents the newly produced protein chains from clumping together and causing disease.

F.-Ulrich Hartl, a director at the Max Planck Institute of Biochemistry, has spent decades studying the mechanisms of protein folding. Niko Dalheimer, a scientist in Hartl’s department and one of the two lead authors of a new study published in Nature, explains: Much of what we know about protein folding has been learned from studies conducted in test tubes. However, it is virtually impossible to faithfully replicate the cellular environment in vitro.

Faster enzyme screening could cut biocatalysis bottlenecks in drug development

A team of biochemists at the University of California, Santa Cruz, has developed a faster way to identify molecules in the lab that could lead to more effective pharmaceuticals. The discovery advances the rapidly growing field of biocatalysis, which depends on generating large, genetically diverse libraries of enzymes, and then screening those variants to find ones that perform a desired chemical task best.

This strategy has attracted major investment, particularly from drugmakers, because it promises quicker routes to complex, high-value molecules. However, traditional approaches to finding new biologically beneficial molecules often require “lots of shots on goal,” where researchers test enormous numbers of candidates through slow and inefficient workflows.

The method developed by the UC Santa Cruz team aims to significantly shorten that process by introducing smarter and faster decision-making tools that help researchers identify promising enzyme variants much earlier. The researchers detail their new approach in the journal Cell Reports Physical Science.

Tuning topological superconductors into existence by adjusting the ratio of two elements

Today’s most powerful computers hit a wall when tackling certain problems, from designing new drugs to cracking encryption codes. Error-free quantum computers promise to overcome those challenges, but building them requires materials with exotic properties of topological superconductors that are incredibly difficult to produce. Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) and West Virginia University have found a way to tune these materials into existence by simply tweaking a chemical recipe, resulting in a change in many-electron interactions.

The team adjusted the ratio of two elements— tellurium and selenium —that are grown in ultra-thin films. By doing so, they found they could switch the material between different quantum phases, including a highly desirable state called a topological superconductor.

The findings, published in Nature Communications, reveal that as the ratio of tellurium and selenium changes, so too do the correlations between different electrons in the material—how strongly each electron is influenced by those around it. This can serve as a sensitive control knob for engineering exotic quantum phases.

Experiments bring Enceladus’ subsurface ocean into the lab

Through new experiments, researchers in Japan and Germany have recreated the chemical conditions found in the subsurface ocean of Saturn’s moon, Enceladus. Published in Icarus, the results show that these conditions can readily produce many of the organic compounds observed by the Cassini mission, strengthening evidence that the distant world could harbor the molecular building blocks of life.

Beneath its thick outer shell of ice, astronomers widely predict that Saturn’s sixth largest moon hosts an ocean of liquid water in its south polar region. The main evidence for this ocean is a water-rich plume which frequently erupts from fractures in Enceladus’ surface, leaving a trail of ice particles in its orbital paths which contributes to one of its host planet’s iconic rings.

Between 2004 and 2017, NASA’s Cassini probe passed through this E-ring and plume several times. Equipped with instruments including mass spectrometers and an ultraviolet imaging spectrograph, it detected a diverse array of organic compounds: from simple carbon dioxide to larger hydrocarbon chains, which on Earth are essential molecular precursors to complex biomolecules.

Next-generation immune profiling — beyond blood cancer cells

Why immunoscores work in solid tumors—but not yet in blood cancers👇

✅In solid tumors, immune profiling has reached a high level of standardization. Clear tumor boundaries allow quantification of immune cell infiltration, particularly CD3⁺ and CD8⁺ T cells, using immunohistochemistry. This has led to the development of validated immunoscores that stratify tumors as “hot,” “cold,” or “very cold,” providing robust prognostic and predictive value for immunotherapy response.

✅These immunoscores work because solid tumors are spatially organized. Immune cells can be classified as infiltrating or excluded, and their density within defined tumor regions directly correlates with clinical outcome. As a result, immune cell infiltration has become a reliable biomarker to guide treatment decisions in cancers such as colon carcinoma.

✅In contrast, hematologic malignancies lack these defining features. Leukemias and lymphomas are systemic diseases without clear tumor borders, making spatial immune assessment fundamentally challenging. Malignant and nonmalignant immune cells coexist within the same compartments, blurring the distinction between tumor cells and the immune microenvironment.

✅Current immune profiling in hematologic cancers relies on baseline physiological levels of circulating or tissue-resident immune cells, including monocytes, neutrophils, T cells, NK cells, and B cells. While techniques such as flow cytometry, histology, and bulk or single-cell RNA sequencing provide rich datasets, they do not yet translate into a unified, clinically actionable immune score.

✅This lack of standardization creates uncertainty in predicting immunotherapy responses. Metrics such as inflammation, cytotoxicity, or immune infiltration are difficult to interpret consistently across patients and disease subtypes, especially given systemic involvement and tissue-specific immune contexts.

💡

The Scientist Behind Moderna on How Engineering Revolutionizes Medicine

What does it take to turn bold ideas into life-saving medicine?

In this episode of The Big Question, we sit down with @MIT’s Dr. Robert Langer, one of the founding figures of bioengineering and among the most cited scientists in the world, to explore how engineering has reshaped modern healthcare. From early failures and rejected grants to breakthroughs that changed medicine, Langer reflects on a career built around persistence and problem-solving. His work helped lay the foundation for technologies that deliver large biological molecules, like proteins and RNA, into the body, a challenge once thought impossible. Those advances now underpin everything from targeted cancer therapies to the mRNA vaccines that transformed the COVID-19 response.

The conversation looks forward as well as back, diving into the future of medicine through engineered solutions such as artificial skin for burn victims, FDA-approved synthetic blood vessels, and organs-on-chips that mimic human biology to speed up drug testing while reducing reliance on animal models. Langer explains how nanoparticles safely carry genetic instructions into cells, how mRNA vaccines train the immune system without altering DNA, and why engineering delivery, getting the right treatment to the right place in the body, remains one of medicine’s biggest challenges. From personalized cancer vaccines to tissue engineering and rapid drug development, this episode reveals how science, persistence, and engineering come together to push the boundaries of what medicine can do next.

#Science #Medicine #Biotech #Health #LifeSciences.

Chapters:
00:00 Engineering the Future of Medicine.
01:55 Failure, Persistence, and Scientific Breakthroughs.
05:30 From Chemical Engineering to Patient Care.
08:40 Solving the Drug Delivery Problem.
11:20 Delivering Proteins, RNA, and DNA
14:10 The Origins of mRNA Technology.
17:30 How mRNA Vaccines Work.
20:40 Speed and Scale in Vaccine Development.
23:30 What mRNA Makes Possible Next.
26:10 Trust, Misinformation, and Vaccine Science.
28:50 Engineering Tissues and Organs.
31:20 Artificial Skin and Synthetic Blood Vessels.
33:40 Organs on Chips and Drug Testing.
36:10 Why Science Always Moves Forward.

The Big Question with the Museum of Science:

Biodegradable PCB targets short-lifetime electronics

Researchers at the University of Glasgow have developed an almost entirely biodegradable PCB using zinc conductors and bio-derived substrate materials. The work aims to reduce the environmental impact of electronic waste by replacing conventional copper-based PCBs in applications designed for short operational lifetimes.

For eeNews Europe readers, the research is relevant as it explores alternative PCB materials and manufacturing methods that could be applied to disposable and low-duty-cycle electronics, including sensing and IoT-related devices.

The approach differs from conventional PCB fabrication, which typically involves etching copper from a full sheet. Instead, the researchers use what they describe as a growth and transfer additive manufacturing process, depositing conductive material only where tracks are required. According to the team, this reduces metal usage and avoids the use of harsh chemical etchants.

DIVE multi-agent workflow streamlines hydrogen storage materials discovery

Developing new materials can involve a dizzying amount of trial and error for different configurations and elements. Artificial intelligence (AI) has seen a surge of popularity in energy materials research for its potential to streamline this time-consuming process. However, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage.

A team of researchers at the WPI-Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, created the Descriptive Interpretation of Visual Expression (DIVE) multi-agent workflow to streamline the material research process. The system extracts information from images in a database of over 30,000 entries from 4,000 scientific publications to propose new materials within minutes.

The findings were published in Chemical Science.

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