In Candida albicans, potassium (K) channels fine-tune ionic balance under stress, contributing to host colonization. Fungal two-pore domain, outwardly rectifying potassium (TOK) channels remain insufficiently characterized despite evidence implicating them in growth and viability. Here, we describe the atomic-resolution structure of a fungal potassium channel, TOK1 from C. albicans (CaTOK), revealing an architecture defined by eight transmembrane helices and a membrane topology distinct from previously characterized K⁺ channel classes. The first four helices form a tetraspanin-like bundle resembling auxiliary subunits of human neuronal ion channels. The pore features an inner helical gating movement analogous to mammalian dimeric K channels, while the K selectivity filter exhibits atypical ion coordination. A cytosolic C-terminal bundle forms an intramolecular network that likely stabilizes CaTOK and may mediate gating. These findings provide a framework for understanding TOK channel function and facilitate future studies of fungal ion homeostasis, pathogenicity, and therapeutic development.

Sensory-guided decisions are the result of sensorimotor transformations across many brain areas. Recent studies have localized the motor- and decision-related components of these transformations using brain-wide neural recordings. It has been more difficult to localize sensory computations in the same way. Here we developed a new approach for linking sensory computations to behavior by training mice to discriminate between two stimuli and testing their responses with new stimuli. In separate animals, we calculated the similarity of neural representations between train and test stimuli, using recordings of up to 73,000 simultaneously-recorded neurons from 9 primary and higher-order visual areas (HVAs) across layers 2 and 3. We found that neural discrimination on test but not train images correlated with behavioral discrimination, and this relation required prior visual experience as it was not present in dark-reared mice. The link between neural and behavioral performance was highest in the medial HVAs, suggesting this region is a critical component of sensory transformations and generalization.

Neural computations are implemented by distributed neural populations that often span multiple brain areas. Causal photo-activation experiments done simultaneously with neural recordings can greatly improve our understanding of these computations, but such methods are typically limited to small subsets of neurons in restricted fields of view. Here we describe a new system called raster photostimulation for photo-activating and recording thousands of neurons, over a short 300 ms time window and over a large 5 mm field-of-view on a two-photon mesoscope. The photo-activation is precisely matched to the neural recording configuration, as it uses the same optical path, although with a different laser that is independently gated. We demonstrate pixel-level precision, frame-by-frame mask updating, and single-frame photostimulation of thousands of neurons. While this method lacks the precise temporal control of alternative methods, it compensates with ease-of-use, spatial precision, cost of implementation and by pushing the limits on the number of near-simultaneously stimulated neurons.

Compositional generation underlies the systematic and essentially unlimited construction of complex concepts from simpler parts, as is foundational to intelligent behavior, but its underlying neural mechanisms remain unclear. Here we reveal a neural implementation of hierarchical compositional construction of abstract sequences. We demonstrate that in an open-ended setting with very sparse feedback, rats innately utilize hierarchical composition to construct adaptive action sequences that would have been difficult to discover from scratch. Prefrontal neural population representations of these abstract sequences adhere to a low-dimensional format that encodes the orderly progression of elemental units comprising the sequence while converging to a sequence-general endpoint. Higher-level compositions in the hierarchy are systematically related to their lower-level constituent parts, reusing much of the representation, while providing context separation and satisfying format constraints. These neural representations are geometrically identical across animals, pointing to a convergent solution for how knowledge is hierarchically assembled via a compositional mechanism.

Organisms must regulate metabolic resources such as oxygen (O2) and nutrients despite environmental variability and the energetic costs of their own actions1–3. Such regulation can occur reactively, through homeostatic corrections of recent imbalances, or predictively, through allostatic adjustments that anticipate future demand4,5. Predictive regulation is particularly important because metabolic resources often continue to be consumed for seconds to minutes after motor actions cease as tissues repay incurred costs, making it advantageous to prevent depletion before it occurs6. However, the cellular and circuit mechanisms for allostatic control remain largely unknown5,7,8. Using whole-brain neuronal and astroglial imaging and O2 measurements in behaving zebrafish, we identified a noradrenergic–astroglial circuit that detects, anticipates, and prevents internal O2 depletion. We found that swimming exacerbated internal hypoxia with a multi-second delay, but behavioral adaptations occurred before such self-generated hypoxia manifested, suggesting predictive control, confirmed using computational modeling. Noradrenergic neurons in the nucleus of the solitary tract directly detected brain hypoxia and received efference copies of swimming actions; these inputs summed at the level of membrane voltage to increase spiking and norepinephrine release when actions and resource scarcity co-occurred. Astroglia integrated noradrenergic input into prolonged Ca2+ elevation that tracked the O2 cost of recent actions and thereby predicted O2 debt relative to O2 availability, rising ∼8 s before O2 fell. This astroglial prediction reorganized brain-wide activity to suppress locomotion and promote respiration, preempting O2 depletion. Silencing noradrenergic neurons or astroglial signaling abolished these hypoxia coping behaviors, whereas selective activation evoked them. This neuronal–astroglial mechanism constitutes a predictive control system that integrates physiological state with behavioral intent to avert metabolic crisis, revealing a cellular substrate for proactive energy management.  

Survival during infection depends on both pathogen clearance and the ability to tolerate infection-induced physiological changes. Metabolic adaptations are a central component of this tolerance, but the mechanisms underlying these responses remain incompletely defined. Here, we identify white adipose tissue (WAT) lipolysis as a central regulator of metabolic tolerance to infection. In patients with sepsis, higher circulating non-esterified fatty acid (NEFA) levels were associated with reduced mortality. In mouse models of polymicrobial sepsis, infection induced robust adipose lipolysis and increased circulating NEFAs. Genetic ablation of adipose triglyceride lipase (ATGL) in adipose tissue impaired lipolysis, leading to hypothermia, bradycardia, and increased mortality without altering immune cell populations or pathogen burden, consistent with a defect in tolerance rather than resistance. Mechanistically, lipolysis-derived NEFAs, but not glycerol, were required for protection, as restoring circulating NEFAs rescued autonomic stability and survival in adipose tissue ATGL-deficient mice. Infection-induced lipolysis was redundantly regulated and did not depend on any single upstream signaling pathway. Both pharmacologic activation of lipolysis using a β3-adrenergic agonist and exogenous fatty acid supplementation increased circulating NEFAs, improved survival, and promoted tolerance in mice. Consistent with these findings, analysis of real-world electronic health record data demonstrated that septic patients receiving FDA-approved β3-adrenergic agonists had reduced mortality or hospice discharge in a propensity-matched cohort. Together, these results identify WAT lipolysis and circulating fatty acids as key mediators of tolerance to infection and support a therapeutic strategy based on repurposing clinically available β3-adrenergic agonists to improve outcomes in sepsis.

Peroxisomes are eukaryotic organelles that compartmentalize crucial metabolic reactions. Peroxisome size, shape, and number are governed by the peroxisomal membrane protein PEX11. PEX11 is encoded in multiple isoforms across diverse eukaryotes, including five in Arabidopsis, but the functional distinctions among these isoforms are largely uncharacterized. Here we report null pex11 mutants in plants expressing reporters that mark peroxisome membranes and lumen to illuminate distinct functions for PEX11 isoforms. We find that PEX11C/D/E promotes the formation of peroxisomal intralumenal vesicles, limits peroxisome size throughout development, and is required for efficient fatty acid β-oxidation in germinating seedlings. Unlike the pervasive roles of PEX11C/D/E, we find that PEX11A/B promotes the formation of peroxisomal intralumenal vesicles and limits peroxisome enlargement specifically during seedling lipid mobilization. Complete loss of the PEX11 family confers seedling lethality, even though peroxisomes remain abundant. Our findings reveal that Arabidopsis PEX11 isoforms shape internal peroxisome membranes and have distinct functions in cellular physiology that are essential for plant development. These results extend the roles of PEX11 beyond its canonical function in peroxisome division.

Spectral information plays a crucial role in biological imaging, yet conventional epifluorescence and histological techniques often rely on RGB image acquisition, limiting the resolution of spectrally overlapping components. Here, we present a phasor-based spectral analysis framework adapted for RGB images, enabling unsupervised segmentation and unmixing without the need for hyperspectral systems or sequential acquisition. By applying a discrete Fourier transform to the red, green, and blue intensities at each pixel, we generate a two-dimensional phasor plot where spectral relationships are encoded in modulation and phase. We demonstrate the utility of this approach across three distinct applications: segmentation of lung histology images stained with hematoxylin and eosin to quantify alveolar collapse, analysis of autofluorescence in skin lesions (nevi and melanoma) to highlight pathological spectral signatures, and spectral unmixing in multicolor-labeled U2OS cells to resolve overlapping fluorophores. Our method improves signal separation, reduces noise, and enhances biological interpretability using standard RGB acquisition. These findings establish RGB phasor analysis as a practical and powerful tool for spectral decomposition and segmentation in microscopy, bridging the gap between conventional imaging and advanced spectral analysis.

Metabolic processes shape ageing and longevity at multiple levels. Emerging evidence shows that many of these processes are orchestrated within and between cellular organelles. Organelles function not only as metabolic reactors but also as signalling hubs, and their coordination plays crucial roles in maintaining cellular homeostasis and promoting organismal fitness. Rather than acting in isolation, organelles engage in dynamic crosstalk through membrane contact sites, metabolite exchange and signalling interplay. In recent years, organelles have been increasingly recognized as critical regulators of ageing and longevity. Here we summarize age-related organellar changes, highlight organelle-mediated intra- and intercellular signalling communication in lifespan and healthspan regulation, and discuss the active roles of organelles in microbiome-host interactions and transgenerational inheritance in regulating longevity. We further outline how longevity-promoting interventions influence organelles, and provide perspectives on how future technological advances may further accelerate progress in this emerging research topic.