iScience

Drosophila connectomic datasets provide increasingly comprehensive maps of neuronal morphology and synaptic connectivity, offering an unprecedented opportunity to explore the structural organization of its neural circuits. This calls for designing automated tools to interact with connectomic datasets at scale for efficiently exploring structural features embedded in the vast amount of data. Yet the central challenge remains the understanding of the functional logic of neural circuits. In order to understand how elements of the functional logic may emerge from this structural organization, it is critical to (i) characterize the objects in the natural environment in which brain circuits operate, and (ii) formulate how brain circuits represent and process the defined objects in the natural environment. To develop and demonstrate a methodology for these requirements, we focus on the Drosophila looming-evoked escape pathway. We modeled the trajectory of looming objects that are on a collision course (direct-hits) or pass-by the fly (near-misses): their projected images on the retina can be characterized by the solid angle (angular size) and elevation. We then analyzed the pathway's morphology across the OpticLobe, Hemibrain, and FlyWire connectome datasets. By abstracting their sub-neuronal structure and retinotopic organization, we constructed an executable circuit model that maps each structural element to a processing block. We demonstrate that this model separates direct hits from near misses well before the angular size could tell them apart. To accelerate the connectomic analysis step, we developed a Python toolset with an agentic, code-free workspace interface called NeuroGraphBench (NGB). NGB provides four composable morphology-analysis primitives and an AI agent that composes them to interactively respond to natural-language queries aided by visualization on an interactive 3D canvas. Thus, NGB automates tedious and repetitive tasks to enable faster and scalable connectomic exploration, keeping human reasoning, instead of writing code, at the center of an open-ended research inquiry.

Motor systems controlling locomotion must generate repetitive rhythmic activity, while also still retaining the ability to generate a diverse range of outputs. How motor systems monitor, regulate, and promote diversity of their own outputs is not well understood. Here, we perform single-step, variable-order and hidden-state Markov modelling (HSMM) on spontaneous fictive locomotor activity in the isolated Drosophila larval nervous system to examine how a motor system balances constraint and promotion of diversity amongst competing motor programs. We show that spontaneous fictive activity is structured by interacting mechanisms operating at multiple levels of sequence organisation. Analysis of one-step transition rules revealed a bias in activity towards activity states underlying exploration that in turn, promote transition to diverse outputs. In contrast, higher-order Markov, N-gram, and HSMM analysis indicated a memory biased towards revisiting recently executed motor programs. These mechanisms together suggest that the Drosophila larval locomotor system maintains a dynamic repertoire of possible motor outputs by monitoring recent activity and biasing future transitions accordingly. In this sense, fictive rhythmogenesis reflects a diversity-generating process: the larval locomotor network does not simply repeat a fixed motor programme or randomly transition from one state to another, but rather continually regulates access to rhythmic states based on recent experience. Together, these findings suggest that fictive locomotor dynamics are consistent with adaptive winner-takes-all competition between central pattern generating (CPG) modules that balance constraint and promotion of motor program diversity.

During development, endothelial cells (ECs) migrate into the brain and acquire blood-brain barrier (BBB) properties such as tight junctions, limited transcellular transport, and high electrical resistance. Although key signaling pathways that are active in vivo have been identified, factors critical in inducing brain EC differentiation in vitro remain unclear. Here, we describe conditions that promote brain EC-like gene expression in human pluripotent stem cell (hiPSC)-derived ECs. Activation of Wnt/{beta}-catenin signaling upregulates the brain EC marker GLUT1 (SLC2A1) while suppressing the peripheral EC marker PLVAP. Simultaneously, stimulation of STAT3 by CNTF together with TGF-{beta} inhibition increases CLDN5 expression. We further found that hiPSC-derived ECs secrete high levels of angiopoietin-2 (ANGPT2) and that razuprotafib (AKB-9778), a PTPRB (VE-PTP) inhibitor, inhibits ANGPT2 and improves monolayer integrity. These results suggest that combinatorial modulation of specific signaling pathways stimulates the differentiation of human brain ECs in vitro.

The axolotl salamander can fully regenerate amputated limbs, yet the systemic consequences underlying this process remain largely understudied. Cerebrospinal fluid is an emerging signaling medium capable of communicating with both the central and peripheral nervous systems, but its composition and potential role in salamander limb regeneration have not yet been examined using modern multi-omics techniques. Here, we developed a protocol for extracting mixed perilymph-cerebrospinal fluid (P-CSF) from axolotl and provided the first proteomic and metabolomic characterization of this biological fluid. We identified 2,626 unique proteins and 173 high-confidence metabolites and quantified them across four time points of early limb regeneration. We demonstrated that limb amputation drives progressive shifts in P-CSF proteins, including an elevation of sarcomeric muscle proteins, regeneration-associated factors, and protease/extracellular matrix proteins. We observed shifts in metabolites involved in oxidative stress, polyunsaturated fatty acid oxidation, and histamine metabolism. Injury-comparison experiments revealed that the observed proteomic changes as a result of limb amputation are different than crush injury, denervation, or tail amputation. This study proposes axolotl P-CSF as a reservoir for limb amputation-associated systemic signaling and as a potential conduit of signals involved in limb regeneration.

The mammary gland relies on reciprocal interactions between epithelial cells and their surrounding extracellular matrix (ECM) to form and maintain milk-producing tissue structures. Yet these processes remain difficult to study in human model systems. Mammary epithelial cells (MECs) can be isolated noninvasively from breast milk, but whether they generate three-dimensional organoids and respond to matrix cues has been unclear. Here, human milk-derived MECs (milk MECs) spontaneously form complex organoids, including polarized acinar and terminal duct lobular unit-like structures after isolation. To investigate how matrix composition shapes these organoids, milk MECs were cultured in decellularized mammary ECM (dECM), Matrigel, and collagen I. In dECM, milk MECs formed polarized branched networks with aligned actin organization along collagen fibrils, whereas in Matrigel they adopted a more lactation-associated state, marked by {beta}-casein expression and milk fat globules. Together, these findings establish breast milk-derived MEC organoids as a human model to study how ECM context regulates mammary morphogenesis and lactation biology.

Animals must generalize from limited experience, yet behavioral experiments in the laboratory setting rarely assess whether or how rapidly they generalize. This contrasts with machine learning systems, where generalization is considered a fundamental test of learning, and emphasizes performance evaluation with new in-distribution or out-of-distribution examples. Here, we used an olfactory categorization task to investigate rules of generalization versus memorization in mice. We trained mice to discriminate between two target odorants mixed with a variable number (0-13) of background odors. There are 32766 possible mixture stimuli to be classified, yet mice learn to generalize from as few as 8 unique mixtures. This generalization is not due to limited memory capacity: mice successfully learned to group the same set of mixtures when category labels were randomly shuffled. Analysis of individual variability revealed features in learning dynamics during training that predict performance in the generalization phase. A linear supervised learning algorithm could describe the generalization from few exemplars well, whereas nonlinear classifiers were necessary to explain memorization. Our experiments suggest that mice have an inductive bias towards generalization, consistent with a preference for simple rules, and will memorize only when forced to do so.

Despite glutamates widespread role as the dominant excitatory transmitter in vertebrate brains, the early evolution of glutamate and its recruitment into neural signaling remain largely unknown. The major limitation is the lack of information on its distribution in early-branching basal metazoans, such as ctenophores (comb jellies). Here, using glutamate immunoreactivity (IR) in two ctenophore species with distinct ecologies (Pleurobrachia bachei and Beroe abyssicola), we show that glutamate IR is present in subpopulations of neurons within the subepithelial neural network and in small groups of mesogleal neuron-like cells, and that it differentially labels some muscle fibers. Remarkably, we also observed an enriched glutamate-ir signal within the nuclei of subepithelial neurons in Beroe. However, glutamate expression levels are species-specific, suggesting a tight coupling of glutamate recruitment for neural communication with energetic demands.

Previously, we showed that macrophages transfer mitochondria to breast cancer cells, promoting proliferation in acceptor cancer cells. Transferred mitochondria were depolarized and accumulated reactive oxygen species (ROS), and the mitochondrial transfer-induced proliferation was dependent upon ROS signaling (Kidwell et al. 2023). Our unexpected findings supported a model in which transferred mitochondria act as a signal for proliferation in acceptor cancer cells rather than a direct source of increased bioenergetics. It remains unclear whether this unexpected signaling mechanism is unique to macrophages as the donor cell, or whether this mechanism applies to mitochondrial transfer between other cells within the tumor microenvironment. Here, we show that highly metastatic cancer cells transfer mitochondria to weakly metastatic cancer cells. These transferred mitochondria are depolarized, accumulate ROS, and promote ROS-dependent proliferation in acceptor cancer cells. Furthermore, we specifically attribute this proliferative phenotype to the transfer of mitochondria, as when we isolate mitochondria from highly metastatic cells and apply these purified mitochondria directly to weakly metastatic cells in culture, acceptor cancer cells that internalize the purified mitochondria exhibit increased proliferation in a ROS-dependent manner. These findings support mitochondrial transfer within the breast tumor microenvironment as a signaling axis for proliferation, regardless of donor cell identity.

The perception of stickiness is known to everyone who interacts with the world. While eating, walking, and navigating diverse environments including crowded subways, forests, fields and lunchrooms, stickiness is a common and old sensation. Responses to sticky stimuli have been measured in animal and human brains; however, precise behavioral responses and the underlying neural mechanisms are not well understood. We applied sticky stimuli to three-week-old rat pups and found the effects vary greatly across the animals body: Sticky stimuli are quickly removed from forepaws and nose, but often evoke only little reaction from hindpaws. When we applied sticky (marshmallow, mochi) and non-sticky stimuli (water, oil) to forepaws, we observed stimulus unspecific behaviors (licking and grooming) with variable response onsets as well as three fast-onset sticky-specific behaviors. Sticky-specific behaviors were exclusively triggered by sticky stimuli and included paw shaking and paw swiping (behaviors presumably aiming at stickiness removal) and paw tapping. In tapping, animals gently tap their forepaws onto each other or on the ground; we wondered if the resulting paw-substrate detachments serve stickiness sensing. Blocking of forepaw skin sensation reduced sticky-specific responses to sticky stimuli compared to control conditions (Ringers injections). To assess central representations of stickiness, we obtained in vivo whole-cell recordings of neurons in forepaw-somatosensory-cortex while presenting sticky and non-sticky stimuli to anesthetized rat pups. While responses were heterogeneous across the population, we observed individual neurons that had significantly different responses to stimulus detachment for sticky and non-sticky stimuli. In summary, we describe a fast-onset, body-part-specific stickiness response system in rats, which is strongly driven by forepaw skin afferents. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/742745v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@2ad341org.highwire.dtl.DTLVardef@1936c2forg.highwire.dtl.DTLVardef@1a39d23org.highwire.dtl.DTLVardef@a196e9_HPS_FORMAT_FIGEXP M_FIG C_FIG

The origins and early diversification of intercellular signaling molecules in animals remain poorly understood because comparative data across basal metazoan lineages are limited. Cnidarians form the sister group to bilaterian animals, and characterizing their transmitter systems is critical to understanding how complex adaptations within integrative systems shape evolutionary trajectories. Although glutamate is a well-established transmitter in bilaterian animals, its role in cnidarians remains unclear, and information on its neuronal function and signaling is limited. For most studied cnidarians, glutamate has been suggested to be a non-neuronal signaling molecule. Here, using glutamate immunoreactivity (Glu IR) in eight hydrozoan species with distinct ecologies (Aequorea victoria, Eutonina indicans, Clytia gregaria, Bougainvillia principis, Euphysa flammea, Polyorchis penicillatus, Aglantha digitalis, Nanomia septata), we identified and visualized distinct populations of glutamate-immunoreactive (Glu-ir) cells, including nematocytes, neurons, and muscle cells. A broad diversity of Glu-ir nematocytes was found in all studied species. Glu-ir neural cells were found only in three species (Aequorea, Nanomia, and Aglantha); their morphology and localization were species-specific. In addition, some striated and smooth myoepithelial cells were found to be either Glu-ir or GABA-ir. We propose that both glutamatergic and GABAergic systems were independently recruited more than 3 times as neurotransmitters across cnidarians, and that these recruitments are fundamentally rooted in bioenergetic demands.

As silicon-based computing approaches fundamental physical limits, neurocomputing offers an energy-efficient alternative by leveraging the intrinsic non-linear dynamics of biological systems. To harness these dynamics, it is vital to understand the structure-function relationship governing how neural cultures process complex spatio-temporal information and how to appropriately decode the resulting neural electrophysiological activity. We investigated this utilizing a closed-loop electrophysiology platform, the CL1, to implement reservoir computing in human iPSC-derived neuronal networks. To systematically evaluate the variables driving neurocomputational capacity, we explored how cellular composition (cortical vs. hippocampal lineages), and the physical architecture (unstructured monolayers, 3D neural organoids, and modular networks confined by microfluidic devices) influenced electrophysiological properties and interacted with different decoding methodologies. Using a spatio-temporal version of a handwritten digit pattern recognition task (MNIST), we analyzed how these biological and analytical factors influenced classification accuracy. To ensure robust interpretation this required us to first demonstrated that reservoir computing decoding methods require strict artifact control and trial-based cross-validation to distinguish network computation from artifactual signal separability or temporal data leakage. Applying this validated frequency-domain pipeline, we suggest a clear functional hierarchy where structural modularity acts as a vital functional regularizer. Modular cortical cultures significantly outperformed unconstrained monolayers and organoids on MNIST. Furthermore, decoding frequency information from raw signals proved superior to typical time-bin decoding implementations. These findings establish that maximizing the computational potential of Synthetic Biological Intelligence, while avoiding false positives, requires a synergistic optimization of cellular identity, structural governance, and rigorous decoding logic. In doing so, this work provides a critical base establishing the criteria under which to evaluate neurocomputing implementations.

Denisovans are an extinct archaic Homo group whose lineage diverged from the Neanderthal lineage approximately 550,000 years ago and were widely distributed across eastern Asia until [~]45,000 years ago1-7. Their morphological features are known directly from the existing cranio- dental and phalangeal remains1,2,8-12. However, the body size and postcranial morphology of the Denisovans remain largely unknown. We here report that hominin femoral and tibial fossils recovered from the Penghu Channel, Taiwan, are Denisovans in their proteomic profiles. Morphologically, these specimens are among the largest leg bones known in Pleistocene Homo. They exhibit generally archaic features, but also show some modern human-like morphology, including a strong femoral pilaster. Our findings demonstrate that the Denisovan population at the northern circle had larger body size than earlier Homo erectus as well as Late Pleistocene Homo sapiens in eastern Asia. This challenges the generally held expectation that Pleistocene Homo followed Bergmanns rule that anticipates latitudinal decline of body size, and suggests that the large Denisovan brain resulted from their large body size at least partly. The strong pilaster developed in the Penghu femur suggests some behavioral similarities between the Denisovans and the Upper Palaeolithic modern humans and/or gene flow from the latter to the former.

In E. coli populations subjected to starvation, the transition of cells into stationary-phase is characterized by reduced KCl levels, cytoplasmic acidification, and increased production of Dps, the DNA binding protein from starved cells. Here, we show that at KCl concentrations peculiar to the stationary-phase, Dps displays greater surface hydrophobicity, lower helical content, lower stability to denaturation, greater susceptibility to proteolysis, and an intriguing ability to undergo 'reversible' deposition into liquid-solid phase separated (LSPS) aggregates, when no DNA is present. Whereas we have already previously shown that, at growth-phase KCl concentrations, Dps either remains soluble or forms liquid-liquid phase separated (LLPS) condensates with DNA, when DNA is present, here we show that the coacervation of Dps with DNA is exacerbated by stationary-phase KCl concentrations. This leads us to suggest the following interesting possibilities: (i) newly-produced Dps is reversibly kinetically-partitioned between LSPS and LLPS states, at low KCl concentrations, depending on the availability of DNA; (ii) excess Dps that is not coacervated with DNA in the LSPS state, exists in the LSPS state at low KCl concentrations; and (iii) Dps in the LSPS state dissolves to become instantaneously available for the packaging of newly-produced DNA, once nutrition becomes available, growth resumes and cytoplasmic KCl concentrations rise, before there is any production of the growth-phase DNA-packaging protein, HU.

Immune adaptation after birth requires coordinated remodeling across the airway-blood axis, yet how these compartments communicate during early postnatal life remains poorly understood. In preterms, dysregulation of this immune response determines mortality and morbidity. We performed paired single-cell RNA sequencing (scRNA-seq) and mass spectrometry-based proteomic profiling of airway samples (deep pharyngeal aspirates, DPA) and matched whole blood from 19 neonates spanning extreme preterm (<28 weeks) to term gestation, sampled at two postnatal timepoints (1-3 days and 4-10 days). This integrated multiomic atlas revealed coordinated and compartment-specific immune adaptation across the airway-blood axis during the first week of life. We observed gestational age-dependent shifts in cell composition in both compartments, including expansion of immature hematopoietic and myeloid populations in blood and distinct myeloid and epithelial programs in DPA, accompanied by compartment-specific inflammatory and innate immune gene expression that evolved during the first week of life. Unexpectedly, we identified a circulating respiratory epithelial-like cell population in neonatal blood whose abundance correlated with prematurity and lung disease and which we validated by flow cytometry as well as in independent datasets. Matched plasma proteomics revealed a gestational age axis and a disease-associated axis; an Organ-to-System Score derived from lung-restricted plasma proteins tracked lung injury severity and distinguished trajectories toward chronic lung disease as early as 72 hours after birth. Together, these multiomic data describe coordinated and divergent immune programs across mucosal and systemic compartments in early preterm life, identify circulating respiratory epithelial-like cells as a candidate blood-accessible signal of airway-blood interface perturbation, and prioritize ciliated-myeloid signaling (LAMA5-ITGB1) as a candidate axis underlying neonatal lung disease. This systems-level framework provides a platform for biomarker discovery and mechanistic studies in larger cohorts.

The blood-gonadal barrier protects the germline from parental exposures. A phenomenon known as intergenerational inheritance suggests that, exceptionally, this barrier can be surpassed with consequences for the subsequent generation. Specific diet regimes and early traumatic experiences have been among the chronic stressors shown to be able to lead to intergenerational inheritance in mammals. Less is known about how acute stress can affect the germline. Cardiac damage leads to several alterations in peripheral organs and, overall, affects blood flow, metabolism, and the immune response. Whether cardiac damage can also affect the reproductive system is not known and might offer new insights into the potential inheritance of cardiovascular disease. Here, we used zebrafish and mouse models to explore the intergenerational role of cardiac damage and repair. In the first week after a cardiac cryolesion, male zebrafish gonads and gametes activated responses associated with inflammation. In sperm, chromatin accessibility was found altered in response to cardiac cryolesion. Offspring of cryoinjured zebrafish males revealed changes in cardiac function and cardiac gene expression. Induction of systemic sterile inflammation in the paternal generation mimicked cardiac injury effects in the following generation, while anti-inflammatory treatments in the injured paternal generation partially recovered F1 cardiac features. Similar features were found in mouse testis after a neonatal injury, and in the hearts of their offspring, suggesting a conserved role of sterile inflammation as a vector for intergenerational transmission of cardiac injury.

Light history leaves persistent changes in circadian period, but where this history is stored remains unresolved. Suprachiasmatic nucleus (SCN) network models have often approached photoperiodic encoding through phase organization or coupling strength. We computationally tested slow adaptation of subregion-specific intrinsic periods as an alternative memory mechanism. The model asymmetrically couples dorsal (D) and ventral (V) SCN oscillators and adds a systemic oscillator (X) representing putative circadian feedback present in vivo but lost ex vivo. With a single parameter set, period adaptation captured the direction and approximate magnitude of behavioral aftereffects across photoperiod and T-cycle conditions. Adapting coupling strength instead of period failed to reproduce the V-leading-D phase order reported after T22. Removing systemic feedback preserved the photoperiod-dependent period ordering but inverted the T22 and T26 aftereffects, an inversion that matched SCN explant observations. The model also yielded distinct D-V phase organization for each of 18:6 LD, T23, and T25. These results suggest that subregion-specific period plasticity provides a parsimonious substrate for encoding light history, while the dependence on systemic feedback indicates that behavioral period may not be a readout of the SCN alone. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/743784v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@d48266org.highwire.dtl.DTLVardef@1bd15bdorg.highwire.dtl.DTLVardef@de3d9forg.highwire.dtl.DTLVardef@9fbc39_HPS_FORMAT_FIGEXP M_FIG C_FIG A model with dorsal period adaptation and phenomenological systemic feedback accounts for behavioral and explanted SCN aftereffects. (A) During T22 entrainment, dorsal (D), ventral (V), and systemic (X) oscillators remain phase-locked. After release into constant darkness, systemic coupling maintains a unified in vivo rhythm, whereas removing X feedback in the explant simulation allows the D-V network to express a distinct ex vivo period aftereffect. (B) The SCN model is modeled as an asymmetrically coupled attractive-repulsive oscillator network with stronger photic input to V. Light history is encoded via plasticity of the intrinsic period in D, while X represents putative systemic circadian feedback available in vivo and lacking direct photic input. (C) The model reproduces concordant period changes in behavior and SCN explants across photoperiods, but opposing period changes following T-cycle entrainment.

Human iPSC-derived brain organoids are revolutionizing tools to study layers biology, synergize disease modeling, and accelerate therapeutic discoveries that overcome obstacles in monolayer cell culture or animal models. The neurovascular unit including vasculature and microglia is critical for brain development, maintenance of synaptic plasticity and neural activity, and the high metabolic demands of long-term culture. We present a methodology to incorporate these important components during organoid generation and discuss potential approach, aiming consistent production of vascularized organoids for longitudinal study. We also demonstrate that this vascularized organoid is a versatile platform to model brain cancer and traumatic brain injury.

Cardiovascular calcification is present in practically all cardiac diseases, which are the top killers in the world today1, and is particularly associated with atherosclerosis2, aortic stenosis3 and rheumatic fever4. If not the direct cause of death, calcification contributes considerably to complications that can lead to heart failure5. Nonetheless, the origins and mechanisms of cardiovascular calcification are still strongly debated3,6-12. Just over a decade ago, it has been reported that nano and micron-sized calcified spherical particles, formed from a single crystal of magnesium-containing calcium phosphate, were the first calcified structure that could be detected in cardiovascular tissue13. These particles were found even before any sign of cardiac disease was present and were present in all stages of cardiac diseases13. The ubiquity of these particles suggests their importance for the origins and development of cardiovascular calcific diseases. Here, we show that these particles originate from platelet {delta}-granules and are present in mammals, birds and lizards. Based on our results, we suggest a new mechanism for the origins of these particles, complementing existing models of cardiovascular calcification7,14, and bringing a new, early, and hitherto unaccounted key event in the process of cardiovascular calcification. This new mechanism model, along with a better understanding of the early stages of cardiovascular calcification, could open the path for the development of pharmacological prevention and treatment solutions for several cardiac diseases.

The long-latency reflex (LLR), the fastest feedback response that recruits supraspinal pathways, is an important model for understanding how descending motor pathways shape rapid corrective responses in humans. While the corticospinal tracts contribution to the LLR has been well established, that of the reticulospinal tract, the other major descending motor pathway, remains purely speculative. To address this online contribution to the generation of the LLR, we used loud acoustic stimulation (LAS), which can strongly engage brainstem circuits including the pontomedullary reticular formation. By delivering LAS at nine timings (0-80 ms in 10-ms steps) relative to perturbation onset, we tested whether LAS selectively facilitates the LLR but not the short-latency reflex (SLR), and whether the facilitated epoch shifts systematically with LAS timing. In twelve healthy participants, elbow extension perturbations were applied to evoke stretch reflexes in the biceps brachii muscle. LAS produced significant supralinear facilitation in the LLR but not in the SLR. Moreover, at LAS timings of 50 ms or more after perturbation onset, LLR facilitation shifted progressively later with LAS, remaining at an approximately fixed delay of 30 ms after LAS onset. This fixed delay indicates that LAS-evoked descending input from the same origin facilitates the ongoing LLR. Together with the lack of significant SLR facilitation, this temporal pattern supports an online reticulospinal contribution to the human LLR, alongside the established corticospinal contribution. This approach provides a new, non-invasive means to investigate the physiological role of the reticulospinal tract in human motor control. Key PointsO_LIThe long-latency reflex is a rapid muscle response to sudden stretch. Unlike faster spinal reflexes, it is shaped by commands descending from the brain and adjusts to the task. C_LIO_LIThough the corticospinal tract is known to shape this reflex, whether the reticulospinal tract also contributes to the reflex has not been tested in humans. C_LIO_LIWe stretched the arm and, at various delays, played a loud sound that engages the brainstem origin of the reticulospinal tract. The sound significantly enhanced the long-latency reflex, whereas no significant enhancement was detected in the faster spinal reflex. C_LIO_LIWhen the sound came 50 milliseconds or more after the stretch, the enhancement followed the sound at a stable delay, indicating that sound-evoked descending signals interacted with the ongoing reflex response. C_LIO_LIThese findings support a real-time contribution of the reticulospinal tract to the human long-latency reflex and provide a non-invasive way to study this pathway. C_LI

The cofactor Fe-protoporphyrin IX cofactor (heme) performs many functions in biology. Animal cells must stabilize their newly generated heme-free (apo)-hemeproteins and deliver mitochondrial heme to them so they can mature to functional form. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) typically accomplishes the heme deliveries, and for many apo-hemeproteins, heat shock protein 90 (Hsp90) drives their heme insertions. We previously observed hemeproteins express poorly in a cell line (COS-7) that does not express soluble guanylyl cyclase (sGC), a heme-binding enzyme that typically functions through its cGMP generation. To understand sGC involvement, we expressed four hemeproteins, Hemoglobin beta (Hb{beta}), Myoglobin (Mb), Indoleamine 2,3-dioxygenase 1 (IDO1), and Tryptophan 2,3-dioxygenase (TDO) in a cell line expressing sGC (HEK293) or in two cell lines (COS-7, DU145) that do not. We assessed hemeprotein expression levels, their abilities to acquire heme, and when relevant if these facets could be rescued by co-expressing individual sGC subunits, including variants with defects in either sGC heme binding, Hsp90 association, heterodimerization, or cGMP production. We found that co-expression of either sGC subunit was essential for three of the four apo-hemeproteins to accumulate in the COS7 and DU145 cells and acquire heme. This did not involve heme binding, heterodimer formation, or cGMP generation by the sGC subunits, and instead depended on a subunits ability to recruit Hsp90 and GAPDH to the apo-hemeproteins via their own Hsp90 binding. Recruiting Hsp90 and GAPDH to apo-hemeprotein clients to ensure they can accumulate and mature to functional form broadens our understanding of sGC and Hsp90 functions in biology.