Sensory neurons must extract behaviorally relevant features from dynamic environments while maintaining sensitivity across wide stimulus ranges. To understand how sensory encoding adapts to experience during behavior, we combine long-duration calcium imaging in freely moving C. elegans with a temperature-trajectory playback paradigm to determine how the thermosensory neuron AFD extracts behaviorally relevant sensory features during navigation. We observe that AFD functions as a leaky integrator of recently experienced temperature changes, accumulating thermal inputs over a rolling window of tens of seconds, resulting in calcium levels that represent recent temperature dynamics during runs. Importantly, we determine that AFD selectively amplifies responses to temperature changes near its learned preferred temperature. This experience-dependent gain control aligns encoding with the navigational goal, providing a mechanism for representing temperature preference within a derivative-based sensory system. A minimal mathematical model incorporating derivative detection, leaky integration, and temperature-dependent gain captures the calcium dynamics over a range of stimuli, and a simulation based on the mathematical model predicts goal-oriented locomotor strategies across stimulus regimes. Together, these findings show how gain control allows a derivative-based sensory code to represent an absolute goal and guide locomotory strategies during navigation.

Direct identification of macromolecular complexes in their native context remains a major barrier to unbiased biological discovery. This challenge is particularly acute in mammalian sperm nuclei, in which condensed chromatin is interspersed with poorly understood phase-separated compartments termed nuclear vacuoles. Vacuoles are associated with reduced fertilization efficiency, yet their composition remains unclear. Here we combine high-resolution in situ cryo-electron tomography (cryo-ET) with AlphaFold docking to identify vacuole components as proteasomes, the proteasome activator PA200, and ferritin. In situ structures at resolutions up to 3.8 Å reveal distinct proteasome-PA200 associations and gating states, consistent with a stepwise activation mechanism. Ferritin assemblies exhibit heterogeneous mineralization states and directly contact chromatin. Together, these findings establish the molecular organization of sperm nuclear vacuoles and implicate protein turnover and metal homeostasis in shaping the nuclear landscape, while demonstrating the power of in situ cryo-ET to resolve protein identity and conformational dynamics in native cellular environments.

Theoretical models can explain how network structure shapes neural computation, but they typically assume idealized connectivity that is inconsistent with the heterogeneous wiring of biological circuits. We address this issue in the Drosophila head-direction system, a recurrent network with ring-attractor dynamics that enable angular velocity integration. The network’s symmetric wiring motifs are reminiscent of classical models, but with additional heterogeneity that should, in principle, destabilize attractor dynamics. Inspired by novel architectures discovered through machine-learning-based optimization, we develop an algorithm that transforms attractor models with symmetric connectivity into functionally equivalent models with heterogeneous connectivity. By replacing each unit with multiple clones that preserve its output, the algorithm embeds hidden symmetries in heterogeneous connectivity, maintaining ring-attractor dynamics and accurate integration. Analysis of multiple fly connectomes provides evidence for duplicated units whose connectivity reflects hidden symmetries, consistent with our theory. Our framework helps reconcile idealized models of neural computation with heterogeneous biological circuits.

Proteins annotated as localizing inside membrane-bound organelles are accepted as residing there. Thus, encountering a mitochondrial cytochrome in the cytoplasm would be unexpected. Yet, a mitochondrial cytochrome does relocalize to the cytoplasm during apoptotic cell death. In fact, a growing list of annotated luminal proteins has demonstrable cytoplasmic functions. It is with this perspective of bi-compartmental proteins that I encourage you to read the new study from Zhu and Fu in this issue of The FEBS Journal. The authors investigate how stress inside the ER lumen influences cytoplasmic energy regulation and uncover a surprising mechanism in fission yeast.

Access to rigorous optical microscopy education remains unevenly distributed across the globe despite widespread use of optical methods. While lower-resourced settings certainly feel this burden, it is far from a foregone conclusion that such opportunities are ubiquitous, even at well-funded institutions. Despite a growing number of online educational resources and other tools, many biomedical researchers learn microscopy in a task-specific manner, and without the conceptual foundation to maximise the potential of its capabilities, robustly interpret data, avoid bias, and/or troubleshoot effectively. Given microscopy's significant impact in the discovery process and status as a cornerstone scientific tool, we developed a remotely accessible, global, and highly interactive program to help address the education gap with respect to the fundamentals of microscopy, irrespective of one's location or ability to access high-end platforms. Here we reflect on the design and evolution of the resulting 'Widening the Lens' (WtL) program: what worked, what didn't, and how the course adapted in response, with the intent of enabling others to leverage our experience to develop programs of their own. We also describe our partnership with critical network organisations, including the African BioImaging Consortium (ABIC) to implement a WtL based train-the-trainer model across the African continent. WtL demonstrates that equitable microscopy education is not only achievable, but that closing education gaps involves building a community in concert with likeminded educational opportunities and networks across the globe.

We introduce a workflow to identify oligomeric structures that are recorded with single-molecule localization microscopy (SMLM) under cryogenic conditions. Typically, these oligomers are assumed to consist of protomers arranged as equilateral two-dimensional polygons and every protomer is labeled with a dye molecule for visualization. Unlike previous work, we consider scenarios in which the sample plane has an unknown orientation relative to the focal plane. Our contribution is a high-precision plane-fitting algorithm to determine the sample plane, combined with geometrical transformations and two circle-fitting algorithms to identify the oligomeric structures. Our simulations on synthetic data demonstrate that the proposed workflow achieves high accuracy in estimating both the unknown tilted plane and the oligomer size.

Expansion microscopy (ExM) enables nanoscale fluorescence imaging on standard microscopes, but its combination with single-molecule localization microscopy (SMLM) remains challenging due to the incompatibility of expanded hydrogels with photoswitching buffers. Here, we introduce a single-step expansion microscopy approach that enables SMLM using spontaneously blinking dyes in 6–14× expanded samples, without re-embedding or buffer exchange. Using this approach, we achieve nanometer-scale spatial resolution by resolving the organization of the nuclear pore complex and the molecular structure of recombinant homotrimeric proliferating cell nuclear antigen.

Sarcomeres, the basic repeating unit of striated muscle, are joined together by crosslinked actin filaments found at the boundaries of muscle sarcomeres, termed Z-discs. Z-discs play a key role in cardiac signalling and disease, however, the arrangement and function of many of the proteins present in the Z-disc remain to be understood. Here, we determined the organisation of 3 key proteins, ZASP, α-Actinin-2 and the Z1Z2 epitope of titin, located within the Z-disc. We fluorescently labelled these proteins in cardiac myofibrils using Adhirons specific to each protein and used interferometric photoactivated localization microscopy (iPALM) to obtain the 3D position of these proteins to a high precision (<10nm in x,y,z). We then used PERPL (Pattern Extraction from Relative Positions of Localisations) to analyse patterns in the relative positions of the proteins and reveal their underlying organisation. This analysis revealed that ZASP and α-Actinin-2 have a similar repeating organisation, but that the organisation of Z1Z2 is different.

Protein assemblies, including aggregates and condensates, are closely linked to health and diseases. We demonstrate boxcar-enhanced Fluorescence-detected mid-Infrared photothermaL Microscopy (FILM), using two model species, Caenorhabditis elegans and Saccharomyces cerevisiae, to quantitatively resolve these protein states in vivo by imaging β-sheet and α-helix secondary structures and analyzing their ratios. This method directly distinguishes polyglutamine (PolyQ) protein aggregates, α-synuclein protein condensates, and P-granule condensates implicated in neurodegenerative diseases and embryonic development in live organisms. It further enables the unraveling of protein assembly dynamics and their physio-pathological roles, such as age-related progression of PolyQ from condensates to aggregates.

Sleep is regulated by a homeostatic process and associated with an increased arousal threshold, but the genetic and neuronal mechanisms that implement these essential features of sleep remain poorly understood.To address these fundamental questions, we performed a zebrafish genetic screen informed by human genome-wide association studies.We found that mutation of serine/threonine kinase 32a (stk32a) results in increased sleep and impaired sleep homeostasis in both zebrafish and mice, and that stk32a acts downstream of neurotensin signaling and the serotonergic raphe in zebrafish. stk32a mutation reduces phosphorylation of neurofilament proteins, which are co-expressed with stk32a in neurons that regulate motor activity and in lateral line hair cells that detect environmental stimuli, and ablating these cells phenocopies stk32a mutation. Neurotensin signaling inhibits specific sensory and motor populations, and blocks stimulus-evoked responses of neurons that relay sensory information from hair cells to the brain.Our work thus shows that stk32a is an evolutionarily conserved sleep regulator that links neuropeptidergic and neuromodulatory systems to homeostatic sleep drive and changes in arousal threshold, which are implemented through suppression of specific sensory and motor systems.