Biology subjects

Joshi, S.

Publications and source records attributed to Joshi, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Reprogramming CAR-T cell function through synthetic cytokine receptors suppresses metastatic progression of TNBC

Patient T cells modified with chimeric antigen receptors (CARs) have shown remarkable therapeutic success in previously incurable cancers. However, despite its success in hematological malignancies, CAR-T therapy has shown only modest efficacy in solid tumors. The medical field has focused on developing new molecular designs that enhance CAR-T persistence, prevent exhaustion in the tumor microenvironment (TME), and increase the specificity of the CAR-T cell to various tumor antigens. However, much less effort has been placed on enhancing CAR-T cells' invasion into and migration through the stromal matrix of the TME, where they can elicit tumor-directed cytotoxicity. Here, we engineered CAR-T cells with synthetic cytokine receptors targeting inflammatory cytokines produced by the cells themselves, which increase their speed through collagen I matrices. We show that this enhanced motility is driven by increased CAR-T cell translocation through confined microchannels via cellular deformation, together with elevated migratory speeds in proximity to neighboring cells, suggesting improved responsiveness to local cues. These migration-enhanced CAR-T cells significantly reduce both primary tumor size and distant organ metastasis in triple-negative breast cancer (TNBC) mouse models compared to standard CAR-T cells. These results support molecular design strategies that exploit mechanisms to improve cellular therapies for metastatic solid tumors.

bioengineering↗

bioRxiv2026

NE52-QQ57 attenuates post-ischemia protein phosphorylation in the mouse brain

Introduction: Cerebral ischemia induces a reduction in brain pH. GPR4, a proton-sensing G protein-coupled receptor is highly expressed in vascular endothelial cells. Pharmacological inhibition of GPR4 with NE52-QQ57 (NEQQ) reduces ischemia-induced blood-brain barrier (BBB) disruption and brain injury. To facilitate targeting GPR4 in vivo, it is important to better define the effect of NEQQ on post-ischemia signaling and the pharmacokinetics of NEQQ in vivo. Methods: We performed biochemical analysis following transient middle cerebral artery occlusion (tMCAO). We used Liquid Chromatography-Mass spectrometry (LC-MS/MS) to quantify the concentration of NEQQ in serum, brain, and peripheral tissues. Results: NEQQ administration decreased the phosphorylation of PKA substrates, PKC substrates, ERK1/2, and CREB. LC-MS/MS analysis detected NEQQ in both ipsilateral and contralateral hemisphere of the brain at 5 h and 24 h after reperfusion, demonstrating that NEQQ crosses the BBB. In peripheral tissues, NEQQ exhibited highest level in kidney and lowest in the heart. In sham controls, average serum concentrations were ~4 and 0.9 g/g at 5 and 24 h, respectively. Following tMCAO, ipsilateral brain exhibited higher levels as compared to the contralateral side at 5 h while the difference diminished at 24 h. Conclusions: NEQQ attenuated the ischemia-induced activation of multiple signaling pathways. NEQQ exhibited broad distribution in peripheral organs, and its brain level was sufficient for GPR4 inhibition at 24 h after injection. These findings support the use of NEQQ as a pharmacological inhibitor of GPR4-mediated signaling following ischemic stroke.

neuroscience↗

bioRxiv2026

Pharmacokinetic properties of Ogerin and its regulation of post-ischemia signaling in mice

Ogerin, a positive regulator of GPR68, reduces infarct volume and attenuates blood-brain barrier (BBB) leakage post transient middle cerebral artery occlusion (tMCAO). These data support the potential use of Ogerin for ischemic protection. For therapeutic interventions, tissue distribution, kinetics, and brain penetration are important characteristics for a compound. For these reasons, we performed liquid chromatography-mass spectrometry (LC-MS) analysis of Ogerin in mice. At 3 hours following intraperitoneal (IP) injection, liver exhibited highest level of Ogerin among all major organs assessed. We further analyzed time-dependent changes in Ogerin concentration in serum following intravenous delivery. Brain Ogerin level was ~140 ng/g at 2 hour and ~0.06ng/g at 24 hours. The brain-to-serum ratio of Ogerin was ~0.6 at 5 hr. To determine the effect of Ogerin on signaling, we collected samples 24 hours after tMCAO with or without Ogerin delivered and performed Western blotting. Consistent with the diminished level of Ogerin in brain at 24 hour, tMCAO increased similar changes in phosphorylation of PKA substrates and PKC substrates in vehicle- and Ogerin-treated groups. The pharmacokinetic data suggests that Ogerin is effective mainly during acute hours after injection. This finding generates important insights on the design of effective protocol for Ogerin delivery to potentiate GPR68 function in vivo.

neuroscience↗

bioRxiv2026

Intracranial electrophysiology reveals distinct neural representations of nociception and salience in the human brain

Neuroimaging studies have shown close overlap between neural representations of nociceptive stimuli and non-nociceptive, salient stimuli (such as low-probability sounds), leading to the proposal that nociception and salience share a common neural substrate in the human brain. Here we use high-resolution intracranial recordings from 13 neurosurgical patients (2,018 total electrodes) to show that neural representations of nociception and salience are anatomically and functionally distinct in the human brain. 77% of 107 electrodes that encoded nociceptive stimuli did not encode low-probability sounds ("nociceptive representations"), whereas 23% encoded both nociceptive and low-probability sounds ("salience representations"). Nociceptive representations were distinct from salience representations in terms of anatomical prevalence (posterior insula, inferior parietal, and perirolandic cortex vs. anterior insula, thalamus, and inferior frontal gyrus), timing (nociception preceded salience by 120 ms on a trial-by-trial basis), and function (intracranial electrical stimulation was more likely to cause sensory experience when applied near nociceptive representations, as compared to salience representations). These results provide strong evidence that nociception and salience have distinct neural substrates in the human brain, and that selective measurement of these distinct processes may help understand patient-to-patient variability in chronic pain and develop personalized brain stimulation treatments.

neuroscience↗

bioRxiv2026

Myeloid Ecotropic Viral Integration Site 1 Promotes Vascular Smooth Muscle Differentiation through Activation of Myocardin

Myocardin (MYOCD) is the principal trigger-switch for vascular smooth muscle cell (VSMC) growth arrest and the cyto-contractile program of differentiation. While much is known about MYOCD-dependent VSMC differentiation, limited information exists as to its transcriptional regulation. Here, we report moderate mRNA expression of Myeloid Ecotropic viral Integration Site 1 (MEIS1) in both human and mouse VSMCs. MEIS1 mRNA is reduced in parallel with myocardin mRNA and protein under conditions of VSMC de-differentiation. Loss- and gain-of-Meis1 expression studies in cultured human VSMCs and the mouse carotid artery support MEIS1 as an activator of myocardin and VSMC differentiation. CRISPR-mediated knockout of the endogenous Meis1 gene in vitro and elicited lower levels of VSMC contractile markers and an increase in growth rate. Similarly, Femoral artery wire injury, in mice lacking Meis1 showed and increased of neointima formation. Mechanistically, we identified a conserved MEIS1 response element in the proximal promoter of myocardin, that appears to contribute to the promoter activity, suggesting a potential regulatory interaction. These results suggest a previously unrecognized role for the homeodomain protein MEIS1 in the activation of myocardin and the quiescent, VSMC differentiated state.

molecular biology↗

bioRxiv2026

Metabolic-epigenetic coupling between leucine catabolism and glycolysis drives CDK4/6 inhibitor resistance

Resistance to CDK4/6 inhibitors limits the durability of therapy for ER+ breast cancer. Despite the identification of mechanisms that regulate resistance, the metabolic adaptations that enable therapeutic escape remain poorly understood. Here, we identify a metabolic-epigenetic circuit that drives resistance by coordinately rewiring amino acid and glucose metabolism. CDK4/6 inhibitor-resistant ER+ tumor cells upregulate the leucine transporter SLC7A5, enhancing leucine uptake. SLC7A5 overexpression is sufficient to confer palbociclib resistance across ER+ cell lines, patient-derived organoids and xenografts. Stable isotope tracing in cell lines and in xenograft tumors revealed that leucine is catabolized through BCAT2 and HMGCL to increase acetyl-CoA levels, and elevated acetyl-CoA promotes H3K27 acetylation at the GLUT1 promoter, upregulating GLUT1 expression and glycolytic activity. Disrupting leucine transport, catabolism, or availability suppresses GLUT1 expression and restores therapeutic sensitivity in resistant models. In patients receiving palbociclib-based therapy, high SLC7A5 expression and coordinated SLC7A5-GLUT1 co-expression are associated with shorter progression-free survival. Together, these findings define a metabolic-epigenetic mechanism linking branched-chain amino acid catabolism to glycolysis and identify a biomarker-associated metabolic vulnerability in advanced ER+ breast cancer.

cancer biology↗

bioRxiv2026

Transcriptomic profiling reveals estradiol and progesterone specific microRNA signatures differentially regulate mRNA targets in vaginal epithelial cells

Epithelial cells of the female reproductive tract (FRT) form a protective barrier and serve as the first line of defense against sexually transmitted infections (STIs). They recognize pathogens, release cytokines and initiate innate immune responses. Sex hormones 17{beta}-estradiol (E2) and progesterone (P4) fluctuate throughout the menstrual cycle and influence epithelial cell functions. Generally, E2 confers protection against viral STIs like HIV-1 and HSV-2, whereas P4 increases susceptibility. However, the underlying mechanisms remain incompletely understood. MicroRNAs, small non-coding RNAs that regulate gene expression by inhibiting translation of target mRNAs, significantly influence viral infections, by promoting or restricting viral pathogenesis. Here, we examined the effect of sex hormones on microRNA expression in vaginal epithelial cells (VECs), the first responders to pathogens in the FRT. Using next generation sequencing analysis, the effect of physiological concentrations of E2 or P4 on microRNA transcription profile of VECs grown in air-liquid interface cultures was characterized. Thirteen miRNAs were uniquely regulated by E2 and 102 by P4, with 29 miRNAs that overlapped between both. The top four differentially expressed miRNAs from both treatments were validated by RT-qPCR. The mRNA targets of unique E2-miRNAs were involved in adherens junction, tight junction and chemokine signaling pathways; whereas the mRNA targets of unique P4-miRNAs were involved in MAPK signaling pathway. Interestingly, several miRNAs regulated by E2- (eg. hsa-miR-9-3p, hsa-miR-200c- 5p, hsa-miR-548c-5p) and by P4 (eg. hsa-let-7f-5p, hsa-miR-16-5p, hsa-miR-27b-3p) targeted genes related to cell cycle pathway. Together, these findings indicate that microRNAs regulated by E2 and P4 influence mRNAs in the pathways associated with cell adhesion, cell growth and development and innate immune responses, critical for maintenance of epithelial barrier integrity and regulating pathogen susceptibility in the vaginal tract. These hormone-regulated miRNAs may serve as potential targets for therapeutic interventions.

immunology↗

bioRxiv2026

Multi-omics Reveals Divergent Endothelial Molecular Responses to New and Old World Hantaviruses

Hantaviruses cause vascular leakage syndromes that vary in clinical manifestation and severity. Although tissue tropism contributes to these differences, both Old and New World hantaviruses infect endothelial cells, where species-specific disease phenotypes remain poorly understood. Here we integrated time-resolved global RNA sequencing, mass spectrometry proteomics, and phosphoproteomics of human endothelial cells infected with New World Andes virus (ANDV) or Old World Hantaan virus (HTNV). Despite equivalent early viral RNA and protein levels, ANDV elicited a stronger innate immune protein response, preceding its restriction while HTNV replication continued. At later stages of infection, HTNV induced downregulation of cytoskeletal and junctional protein phosphorylation, accompanied by visual disruption of cellular actin architecture. Additionally, ANDV induced heightened activity of ERBB-family kinases, whose chemical inhibition by neratinib and afatinib reduced viral replication. Together, these data define species-specific responses in endothelial cells, identify druggable host targets, and reveal mechanisms with relevance to divergent vascular leakage symptomology.

systems biology↗

bioRxiv2026

Increased activity in the somatosensory and insular cortex during the transition from acute to chronic neuropathic pain

Pathophysiological mechanisms underlying the transition from acute to chronic neuropathic pain remain incompletely understood. The somatosensory and insular cortices are key cortical components of the pain matrix. We examined changes in activation of these cortical regions during the transition from acute to chronic neuropathic pain. The right sciatic nerve was ligated in activity reporter TRAP mice using standard procedures. Mechanical allodynia was confirmed after CCI or sham surgery using von Frey monofilaments applied to the hind paws. To label active neurons, 4-hydroxytamoxifen was administered to separate cohorts at 1, 3, and 6 weeks following nerve ligation. Passive tissue clearing of brain sections and confocal imaging was used to assess active neurons. Progressive reduction of ipsilateral hind paw in CCI mice indicated mechanical allodynia development. CCI mice showed robust neuronal activation in the bilateral somatosensory and insular cortices. The somatosensory cortical activation peaked at 3 weeks post-CCI, whereas insular cortical activity increased during the transition from acute to chronic neuropathic pain. These studies revealed that CCI induced progressive mechanical allodynia and distinct temporal patterns of cortical neuronal activation, with transient peak neuronal activity in the somatosensory cortex and sustained, increasing activation in the insular cortex during acute-to-chronic pain transformation.

neuroscience↗

bioRxiv2026

Physical laws predict methane hotspots in global mountain waters

Accurate accounting of aquatic methane emissions is critical for climate change mitigation, yet current global budgets overlook a key driver: the elevation-regulated atmospheric pressure. Here, we present the first large-scale investigation of methane ebullition across 164 shallow waters spanning elevations from sea level to 4886 meters. We demonstrate that ebullition rate increases with elevation-over four times higher at >3000 m a.s.l. than at sea level-due to two synergistic, pressure-dependent physical mechanisms: a degas effect (enhanced bubble formation) and a trigger effect (facilitated bubble ascent). Independent theoretical prediction of the combined effects shows near-perfect agreement with the empirical elevation trend, quantitatively confirming that these physical mechanisms are the primary drivers of enhanced ebullition at high elevations. Our findings reveal that mountain aquatic ecosystems represent unaccounted methane hotspots that have been systematically underestimated in global inventories.We therefore call for urgent integration of these ecosystems into IPCC assessments and targeted mountain mitigation and sustainable management strategies.

ecology↗

bioRxiv2026

Climatic and non-climatic drivers of rangeland vegetation change in Nepal

Nepals rangelands provide multiple benefits, including support for pastoral livelihoods and alpine biodiversity, regulation of water and soil nutrients, and sequestering carbon. Climate change and anthropogenic pressures are altering these rangelands, leading to vegetation and biodiversity change. However, national-scale assessments of rangeland change are limited in Nepal. This study quantified rangeland changes at multiple spatial scales and assessed the climatic and non-climatic drivers of rangeland change. About 80.7% of Nepals high-altitude rangeland (> 2,000m) outside protected areas showed no significant change. Among areas exhibiting significant annual maximum NDVI trends, 383,281 ha (18.6%) showed positive and 14,702 ha (0.7%) showed negative trends, corresponding the ratio of increase in vegetation greenness and decline in vegetation greenness to 26:1. Climate predicted positive trends covered 627,184 ha (30.5%), whereas residual trends caused by non-climatic drivers covered 94,656 ha (4.6%). Climate induced negative trends covered 47,609 ha (2.3%) while residual trends were observed in 6,260 ha (0.3%). Negative trend pixels were concentrated mainly within the 3,000-5,000 m elevation band, with Karnali Province recording the highest proportional climate predicted decline in vegetation greenness (3.4%). At the municipality scale, rangeland change showed no significant relationship with grazing pressure derived from gridded livestock data, suggesting that grazing pressure alone did not explain the non-climatic vegetation signal. These spatially explicit, nationally consistent results identify where rangeland change is occurring and help distinguish climatic and non-climatic drivers of rangeland vegetation change, providing evidence to support targeted rangeland management under Nepals federal governance structure.

ecology↗

bioRxiv2026

Azacitidine Response in Myelodysplastic Syndromes is Marked by NK-like CD8 T-Cell Expansion and CXCL12+ Reticular Cell Remodeling

Myelodysplastic syndromes (MDS) are driven by somatic mutations in hematopoietic stem and progenitor cells (HSPCs), leading to clonal expansion and ineffective hematopoiesis. Hypomethylating agents (HMAs; azacitidine or decitabine) are the standard of care for higher-risk MDS. However, their effects on the bone marrow (BM) microenvironment, and the extent to which these changes correlate with clinical response, remain poorly understood. We performed longitudinal analyses of BM aspirates, trephine biopsies, and peripheral blood samples from MDS patients treated with azacitidine in a clinical trial (NCT03493646), integrating CyTOF, 5' single-cell RNA and TCR sequencing, plasma proteomics, and multiplex immunofluorescence microscopy to characterize changes associated with azacitidine response. Clinical responders showed expansion of GzmBCD56CD8 T cells together with increased type I and type II interferon signaling within the T-cell compartment. Responders also exhibited marked alterations in circulating platelet- and myeloid-derived factors with the potential to remodel the BM niche. Spatial analyses revealed expansion of "neighborhoods" enriched for CXCL12-abundant reticular cells and CD8 T cells in responders, whereas HSPC-enriched neighborhoods were largely unchanged. In contrast, several HSPC-enriched neighborhoods expanded in non-responders. These microenvironmental changes were accompanied by evidence of enhanced myelopoiesis in clinical responders. Our findings support a model in which azacitidine response extends beyond direct effects on malignant hematopoietic cells to involve coordinated remodeling of the BM microenvironment which may be reinforced by platelet- and myeloid-derived signals that establish a feed-forward circuit promoting productive hematopoiesis. One Sentence SummaryLongitudinal bone marrow profiling reveals stromal and immune correlates of azacitidine response in myelodysplastic syndrome.

cancer biology↗

bioRxiv2026

Data-Constrained Recurrent Network Neural Model Uncovers the Circuit Mechanism of Olfactory OFF Responses

Sensory neural circuits must encode both the presence and termination of a stimulus. Following odor offset, projection neurons (PNs) in the insect antennal lobe (AL) exhibit transient increases in firing rate, termed OFF responses, yet the circuit mechanisms that generate them in recurrent excitatory-inhibitory networks remain poorly understood. Here, we constructed a biologically-constrained firing rate-based recurrent neural network (RNN) model of the locust AL and trained it on electrophysiological recordings from 110 in vivo PNs to reconstruct their odor-evoked temporal dynamics across five odorants. The trained model faithfully reproduced the firing rates of constrained neurons, while unconstrained PNs and LNs developed biologically plausible temporal response patterns and response-type diversity. Using targeted input and connectivity perturbations, we found that OFF responses arise through two mechanistically distinct pathways. A feedforward pathway transmits offset-type olfactory receptor neuron (ORN) input directly to downstream PNs, while a recurrent pathway generates post-stimulus excitation independently of offset input. Selective perturbation of individual recurrent connections identified LN-LN mutual inhibition as the dominant recurrent pathway, and decomposition of excitatory and inhibitory inputs revealed that it produces net excitation through the transient release of inhibition rather than through increased drive. The two pathways recruit largely non-overlapping PN populations, indicating that OFF response identity is an emergent property of the network state rather than a cell-intrinsic feature. These findings provide a circuit-level account of OFF response generation and demonstrate how data-constrained RNNs can dissect circuit mechanisms directly from in vivo recordings.

neuroscience↗

bioRxiv2026

A multitask single-cell analysis framework with knowledge graph as a prior

Single-cell RNA sequencing has reshaped cancer biology by revealing the cellular and molecular diversity of the tumor microenvironment, yet most analysis pipelines still treat clustering, annotation, pathway scoring, metabolic inference, and cell-cell communication as separate tasks. Here, we present scKNIFE (Knowledge graph-based NMF for Inference of Functional Entities), a unified graph-regularized non-negative matrix factorization framework that jointly reconstructs single-cell expression profiles and infers activities of diverse biological entities, including pathways, cell-type markers, metabolic reactions and tasks, ligand-receptor interactions, and cell-state programs. By embedding a heterogeneous knowledge graph directly into the factorization objective, scKNIFE propagates information between biologically related entities through Laplacian regularization while sparsity constraints preserve interpretability. The integrated prior graph spans 47,274 nodes and 506,620 edges, assembled from complementary resources including Gene Ontology, Reactome, Hallmark gene sets, Human-GEM, CellChat, PanglaoDB, Cytopus, and Tabula Muris-derived annotations. Across multiple cancer-focused single-cell datasets, scKNIFE yields competitive to leading performance for clustering and cell-type annotation, while also recovering biologically coherent metabolic programs that agree with dedicated metabolism-focused methods and capture therapy-response-associated states. In addition, the framework supports downstream inference of cell-type-specific biological activities from a single latent representation. Together, these results establish scKNIFE as a modular and extensible framework for end-to-end biological interpretation of single-cell cancer transcriptomics

cancer biology↗

bioRxiv2026

SCIMETAR-seq tracks immunophenotype, demethylation, mutations, and transcriptomes in single cells undergoing HMA therapy

5-azacytidine improves haematopoiesis and delays leukaemic progression in myelodysplastic neoplasms, but responses vary and are complicated by clonal mosaicism and heterogenous demethylation. Using a novel single-cell pipeline ("SCIMETAR-seq"), we found 5-azacytidine induced clonally distinct differentiation responses, with nuclear DNA demethylation occurring primarily in cycling progenitors. Despite the absence of significant nuclear DNA demethylation, quiescent stem cells underwent transcriptional remodelling in vivo, accompanied by 5-azacytidine-induced C*G-to-G*C mutations in mitochondria.

cancer biology↗

bioRxiv2026

Virtual multiplex staining of the pancreatic islets across type 1 diabetes progression using a Schroedinger bridge

Classical hematoxylin and eosin (H&E) staining enables review of tissue morphology but lacks information regarding the molecular state of cells. Immunohistochemical (IHC) techniques label specific proteins in tissue, allowing differentiation of relevant structures that may go undetectable in H&E. However, the IHC process is complex, expensive, and time-consuming, especially for multiplex IHC (mIHC) limiting its use in large cohorts. Stain conversion of H&E to IHC using generative artificial intelligence models such as generative adversarial networks (GANs) represent one solution to this problem. However, GANs are unstable during out of distribution sampling and are prone to hallucinations or mode collapse, limiting their accuracy in challenging image conversion tasks. To address this, the field has recently turned to diffusion models. Here, we introduce Schrodinger-bridge for Multiplex ImmunoLabel Estimation (SMILE). Unlike conventional diffusion models that map from source to target through an intermediate Gaussian noise, Schrodinger-bridge diffusion models skip this step and have been shown to better preserve structures during image translation. To test the performance of SMILE, we generated a large cohort of high-fidelity H&E-mIHC image pairs from pancreatic organ donors, targeting insulin, glucagon, and CD3. Our dataset well-sampled across type-1 diabetes status, pancreas anatomical location, age, and sex. Using this cohort, we demonstrate the superiority of SMILE compared to GANs via a comprehensive evaluation framework incorporating texture, distribution, and antibody-specific metrics, as well as blinded pathologist reviews. We further confirmed the ability of SMILE to generate accurate mIHC images from H&Es generated at an external site, to perform whole slide image conversion, and to generate realistic three-dimensional maps of the pancreatic islets in non-diabetic, auto-antibody positive, and type-1 diabetic donor tissue. Finally, we performed stain conversion of paired H&E to HER2 and Ki67 images in breast cancer, confirming the superiority of SMILE in diverse stain conversion applications. Collectively, this framework provides a scalable pipeline for high-throughput proteomic inference from archival H&Es, providing transformative potential for pancreatic research and digital pathology.

bioinformatics↗

bioRxiv2026

Whole organism 3D mapping reveals universal branching topology and biophysical optimization governs vascular and nervous system development

The vascular and nervous systems are transport networks essential for life, yet whether universal geometric and topological principles govern their formation remains unclear. The organism-wide molecular and biophysical coordination required to build and maintain these networks during embryonic development has inspired decades of theoretical work, offering predictions about their expected organization. However, the lack of complete three-dimensional (3D) data has limited validation to isolated structures, leaving whole-organism networks unexplored. Here, we developed a computational pipeline for whole-organism 3D imaging to reconstruct the complete vascular and nervous systems of rhesus macaque, mouse, and turtle embryos. Our analysis reveals that both networks share structural principles, including binary branching and scale-invariant bifurcation geometry, maintained across species and throughout development. Yet, from these shared rules emerge fundamentally different architectures. Vasculature exhibits fractal topology with a fractal dimension [~]3, forming space-filling trees that prioritize proximity to every cell in the body. Nervous system networks exhibit a fractal dimension [~]2, forming sheet-like arbors that prioritize electrical signal transmission. This architectural divergence originates from distinct biophysical constraints operating in bifurcations, where vascular junctions minimize energy expenditure while conserving fluid flow and nerve junctions maximize conduction velocity while conserving electrical current. These local optimization rules, iterated across generations, construct organism-wide networks governed by distinct physical constraints, revealing how evolution generated different solutions for fluid versus electrical transport.

developmental biology↗

bioRxiv2026

Effects of Bimodal Olfactory and Mechanosensory Inputs in the Antennal Lobe of the Honeybee Apis mellifera

Animals often aggregate information from multiple different sensory modalities to accurately assess and react to a stimulus. It is often assumed that cross-modality integration mostly occurs at high-level processing centers, such as the mammalian cortex or insect mushroom bodies. However, we hypothesized that integration could occur relatively early in the sensory pathways. The insect antennal lobe is one such location, receiving direct inputs from the antennae via the antennal nerve. These inputs are highly multimodal, including olfactory, mechanosesnory, and gustatory information, all of which are relevant to foraging honeybees (Apis mellifera). Here we assess integration by recording electrophysiological spike data within the honeybee antennal lobe while exposing the bee to various combinations of wind speed and odor concentration. This paper accompanies another publication by Joseph Reed and Mainak Patel approaching the same question from a modelling perspective, where their model corroborates our data and vice versa. Together, we show that integration occurs within this early layer of processing, while also demonstrating the complex relationship of these two closely-linked stimuli. SIGNIFICANCEAccurate perception depends on the brains ability to combine information from multiple senses, commonly thought belonging to high level of information processing. Using the European honeybee, Apis mellifera, we show strong evidence that olfactory and mechanosensory signals interact at an early stage of neural processing, within the antennal lobe, producing stimulus representations closely-linked to the animals navigation and decision-making. By identifying a tractable model for early multisensory processing, this work offers broader insight into how animals construct reliable representations of their environment.

neuroscience↗