The cellular circuits through which the internal state of an organism is sensed and relayed to the brain, and through which they bring about appropriate physiological and behavioral responses, remain largely unelucidated. Using whole-animal electron microscopy reconstruction of a Drosophila larva, we previously identified an Aorta sensory organ whose somata lie on the periphery of the brain, with dendritic arborizations in the wall of the anterior aorta, and whose axons project to the protocerebrum and synapse onto the insulin-producing cells (IPCs). Here we characterize the full anatomy and connectivity of this sensory organ. We show that the aorta sensory neurons make their strongest direct synaptic contacts onto IPCs and the neurosecretory cells producing Dromyosuppressin (DMS), with only weaker direct contacts to diuretic hormone 44 (DH44). They also make direct contacts to the enteric serotonergic neurons modulating swallowing (Se0ens), and to two single mushroom body neurons, DAN-j1 and MBON-d3, of the learning and memory center of Drosophila. Calcium imaging shows that the neurons are activated by fructose, and optogenetic manipulation reveals that their activity influences peptide content in IPCs, DH44 and DMS cells. Polysynaptic paths to the brain run through two morphologically distinct interneuron families. One, formed by the Hugin protocerebral neurons, targets the neuroendocrine system and is associated with bitter taste and pathogen induced feeding suppression. The other, formed by the BAmas projection neurons, targets dopaminergic input neurons and output neurons of the mushroom body. The Aorta sensory pathway therefore couples internal hemolymph state to two parallel central systems — endocrine state control and mushroom body-associated value updating — and provides a candidate substrate for a metabolic memory through which post-ingestive state is fed back into future feeding choice.Competing Interest StatementThe authors have declared no competing interest.

Terminally misfolded or damaged proteins in the endoplasmic reticulum (ER) are degraded by the proteasome in a process termed endoplasmic reticulum-associated degradation (ERAD). To reach the proteasome in the cytosol, cargo proteins must be dislocated across the ER lipid bilayer. Retrograde transport is performed by a set of membrane-spanning multi-protein complexes that are notoriously difficult to study. Despite decades of genetic and biochemical analysis, there is little consensus regarding its molecular mechanism. Here, we characterize the dynamic assembly of the mammalian Hrd1 complex, one of the most thoroughly studied mammalian dislocons, using in situ multicolor single-particle tracking. Surprisingly, quantitative dual-color tracking reveals that the majority of Hrd1 is assembled into stable homo-tetramers in situ. Using a herein developed single-molecule assay based on binding competition, we show that this tetramerization is driven by a short stretch (Hrd1479-530, HAF-H) within the cytosolic domain of Hrd1. Combining classical purification assays, quantitative imaging, and structural predictions, we demonstrate that Hrd1479-530 forms a highly stable tetrameric helix bundle via a conserved hydrophobic coiled-coil motif. While higher order assemblies of Hrd1 have been previously implicated, this work offers direct evidence of their role in dislocation, demonstrating that quantitative single-molecule imaging can yield information on species previously hidden from classical biochemistry.

The lung, one the largest branching organs in our body and vital for survival at first breath, is commonly known as the gas-exchange organ. Recent novel findings on lung sensing cells, molecules, and lung-brain crosstalk in the emerging discipline of interoception have highlighted the consideration of the lung as a sensory organ. Acknowledging the central importance of lung sensing to human health and disease, NHLBI convened a workshop to synthesize the past, current, and future of lung sensing research, with in-person presentations by ∼20 interdisciplinary experts and a large virtual audience. Here, we highlight the key topics discussed and summarize a blueprint for the future in this important field.

Opsins are known as proteins that bind retinal to form light-sensing rhodopsins, which mediate diverse forms of photoreception and are widely used for optogenetic control of cellular activity. Yet many opsins lack canonical retinal-binding features or, in their native biological contexts, are expressed where chromophore availability is limited, raising the question whether retinal-free opsins are silent. Here we show that retinal-free ion-transporting microbial opsins are not inert but adopt intrinsic, light-independent functional states alongside their canonical light-driven activity. Using developmental phenotyping in transgenic Drosophila melanogaster, electrophysiology in Xenopus oocytes and mammalian cells, together with structural and computational analyses, we demonstrate robust light-independent ion conductance in multiple channel-type opsins and an ion-pumping opsin. Structural modeling and molecular dynamics simulations reveal conformational rearrangements in transmembrane helices and internal water networks that are consistent with stabilization of apo-conductive states. Together, these findings establish apo-opsin activity as a defined functional state of microbial opsins, expand the current framework of rhodopsin biology, and highlight the need to consider chromophore-independent activity in both basic research and optogenetic applications.

Chemically inducible expression systems enable transgene expression regulation in response to external small molecules. Tetracycline repressor (TetR)-based gene switches work in plants, but antibiotics are neither approved nor advisable for crop use. Here we report engineering of TetR mutants that respond to approved sulfonylurea (SU) herbicides instead of antibiotics. Designed variants show low-nanomolar EC values for ethametsulfuron-methyl (Es) or chlorsulfuron and tightly bind the Tet operator sequence, but only in the absence of corresponding SUs. Crystal structures of two repressors in complex with their respective SU ligands reveal extensive interactions explaining their strong binding. The Es repressor-based gene switch is introduced into tobacco, soybean, maize, rice, and Arabidopsis, and robust reporter gene activation is observed upon herbicide application. Addition of a repressor-regulated siRNA targeting the repressor transcript increases the magnitude and spatial distribution of the response following herbicide treatment and results in a partially bistable gene switch. The SU repressors also function well in mammalian cell culture and may enable regulation of additional genes in conjunction with TetR.

Chemically inducible expression systems enable transgene expression regulation in response to external small molecules. Tetracycline repressor (TetR)-based gene switches work in plants, but antibiotics are neither approved nor advisable for crop use. Here we report engineering of TetR mutants that respond to approved sulfonylurea (SU) herbicides instead of antibiotics. Designed variants show low-nanomolar EC values for ethametsulfuron-methyl (Es) or chlorsulfuron and tightly bind the Tet operator sequence, but only in the absence of corresponding SUs. Crystal structures of two repressors in complex with their respective SU ligands reveal extensive interactions explaining their strong binding. The Es repressor-based gene switch is introduced into tobacco, soybean, maize, rice, and Arabidopsis, and robust reporter gene activation is observed upon herbicide application. Addition of a repressor-regulated siRNA targeting the repressor transcript increases the magnitude and spatial distribution of the response following herbicide treatment and results in a partially bistable gene switch. The SU repressors also function well in mammalian cell culture and may enable regulation of additional genes in conjunction with TetR.

Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms and sea squirts (103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector cells (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by local sensory cells in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied (tightly connected to effectors), reminiscent of distributed control architectures in engineered systems.

Three dimensional fluorescence microscopy often exhibits anisotropic resolution because axial information is poorly sampled and more blurred than lateral information, which complicates quantitative interpretation of fine 3D structures. Although optical remedies and computational restoration have been explored, many approaches require demanding system calibration or rely on accurate PSF models and assumptions that are difficult to satisfy across all samples and modalities. Here we present DeepIso, a self-supervised isotropy restoration framework that couples supervised pretraining with an internal-learning inference stage to estimate degradation directly from the measured volume. Without explicit PSF specification or enforced lateral-axial structural equivalence, DeepIso recovers axial frequency content and improves the continuity of elongated structures while retaining fine features, with superior performance over existing computational approaches in terms of both visual inspection and quantitative metrics. The method is validated on synthetic benchmarks and experimental datasets, demonstrating isotropy enhancement across confocal, light-sheet, and 3D structured illumination microscopy, thereby supporting downstream volumetric analysis including segmentation and tracking.

Motion is an essential component of any living system. It is rich with information, but it is often challenging to quantitatively extract biologically informative results from the motion apparent in microscopy images. This challenge is exacerbated by the wide variety in biological movement, which often takes the form of difficult-to-segment amorphous structures undergoing complex motion. An image processing technique known as optical flow can capture motion at each pixel in an image, thus bypassing the need for object segmentation or a priori definition of motion types. This makes it a powerful tool for quantitative assessment of biological systems from the protein to organism scale. However, despite its flexibility and strengths for analyzing fluorescence microscopy images, its adoption in the bioimaging community has been limited by the availability of easy-to-use tools and guidance in results interpretation. Here we describe an optical flow tool, OpticalFlow3D, that can be run in Python or MATLAB and is compatible with three-dimensional microscopy images. Using biological examples across length scales, we illustrate how OpticalFlow3D can enable new biological insight.

High-resolution extracellular electrophysiology is the gold standard for recording spikes from distributed neural populations and is especially powerful when combined with optogenetics for manipulation of specific cell types with high temporal resolution. We integrated these approaches into prototype Neuropixels Opto probes, which combine electronic and photonic circuits. These devices pack 960 electrical recording sites and two sets of 14 light emitters onto a 70-μm-wide, 1-cm-long shank, allowing spatially addressable optogenetic stimulation with blue and red light. In mouse cortex, Neuropixels Opto probes delivered high-quality recordings together with spatially addressable optogenetics, differentially activating or silencing neurons at distinct cortical depths. In the mouse striatum and other deep structures, Neuropixels Opto probes delivered efficient optotagging, facilitating the identification of two cell types in parallel. Neuropixels Opto probes represent a promising tool for recording, identifying and manipulating neuronal populations.