Neuronal wiring diagram of an adult brain

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 30, 2023

Abstract Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains reconstruct local connectivity maps that are highly informative, yet inadequate for understanding function more globally. Here, we present the first neuronal wiring diagram a whole adult brain, containing 5×10 7 chemical synapses ∼130,000 reconstructed from female Drosophila melanogaster . The resource also incorporates annotations cell classes types, nerves, hemilineages, predictions neurotransmitter identities. Data products available download, programmatic access, interactive browsing made interoperable with other fly data resources. We show how derive projectome, map projections regions, connectome. demonstrate tracing synaptic pathways analysis information flow inputs (sensory ascending neurons) outputs (motor, endocrine, descending neurons), across both hemispheres, central optic lobes. Tracing subset photoreceptors all way motor illustrates structure uncover putative circuit mechanisms underlying sensorimotor behaviors. technologies open ecosystem FlyWire Consortium set stage future large-scale connectome projects in species.

Язык: Английский

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NeuronBridge: an intuitive web application for neuronal morphology search across large data sets

BMC Bioinformatics, Год журнала: 2024, Номер 25(1)

Опубликована: Март 15, 2024

Abstract Background Neuroscience research in Drosophila is benefiting from large-scale connectomics efforts using electron microscopy (EM) to reveal all the neurons a brain and their connections. To exploit this knowledge base, researchers relate connectome’s structure neuronal function, often by studying individual neuron cell types. Vast libraries of fly driver lines expressing fluorescent reporter genes sets have been created imaged confocal light (LM), enabling targeting for experimentation. However, creating line driving gene expression within single found an EM connectome remains challenge, as it typically requires identifying pair where only interest expressed both. This task other emerging scientific workflows require finding similar across large data different modalities. Results Here, we present NeuronBridge, web application easily rapidly putative morphological matches between We describe functionality construction NeuronBridge service, including its user-friendly graphical user interface (GUI), extensible model, serverless cloud architecture, massively parallel image search engine. Conclusions fills critical gap workflow used hundreds neuroscience around world. offer our software code, open APIs, processed integration reuse, provide service at http://neuronbridge.janelia.org .

Язык: Английский

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Neural circuit mechanisms for steering control in walkingDrosophila

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2020, Номер unknown

Опубликована: Апрель 5, 2020

Abstract Orienting behaviors provide a continuous stream of information about an organism’s sensory experiences and plans. Thus, to study the links between sensation action, it is useful identify neurons in brain that control orienting behaviors. Here we describe descending Drosophila predict influence orientation (heading) during walking. We show these cells have specialized functions: whereas one cell type predicts sustained low-gain steering, other transient high-gain steering. These latter integrate internally-directed steering signals from head direction system with stimulus-directed multimodal pathways. The inputs are organized produce “see-saw” commands, so increasing output hemisphere accompanied by decreasing hemisphere. Together, our results internal external drives integrated motor commands different timescales, for flexible precise space.

Язык: Английский

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Transforming descending input into behavior: The organization of premotor circuits in theDrosophilaMale Adult Nerve Cord connectome

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 7, 2023

Abstract In most animals, a relatively small number of descending neurons (DNs) connect higher brain centers in the animal’s head to circuits and motor (MNs) nerve cord body that effect movement limbs. To understand how signals generate behavior, it is critical these pathways are organized onto MNs. fly, Drosophila melanogaster , MNs controlling muscles leg, wing, other systems reside ventral (VNC), analogous mammalian spinal cord. companion papers, we introduced densely-reconstructed connectome Male Adult Nerve Cord (MANC, Takemura et al., 2023), including cell type developmental lineage annotation (Marin which provides complete VNC connectivity at synaptic resolution. Here, present first look organization networks connecting DNs based on this new information. We proofread curated all ensure accuracy reliability, then systematically matched DN axon terminals MN dendrites with light microscopy data link their morphology inputs or muscle targets. report both broad organizational patterns entire network fine-scale analysis selected interest. discover direct DN-MN connections infrequent identify communities intrinsic linked control different systems, putative for walking, dorsal flight steering power generation, intermediate lower tectulum coordinated action wings legs. Our generates hypotheses future functional experiments and, together MANC connectome, empowers others investigate richer mechanistic detail.

Язык: Английский

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Systematic annotation of a complete adult maleDrosophilanerve cord connectome reveals principles of functional organisation

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 6, 2023

Summary Nervous systems function as ensembles of neurons communicating via synaptic connections, and a functional understanding nervous requires extensive knowledge their connectomes. In companion paper (Takemura et al., 2023), we describe the acquisition complete fruit fly nerve cord connectome, first for an animal that can walk or fly. Here, to efficiently navigate appreciate biological significance this categorise name nearly all systematically link them experimental literature. We employ system hierarchical coarse annotations group similar across midline segments, then define systematic cell types sensory neurons, intrinsic ascending non-motor efferent neurons. Stereotyped arrays neuroblasts generate related neuron populations called hemilineages repeat segments cord. confirm larval-born from given hemilineage generally express same neurotransmitter but find earlier born often different one. match over 35% intrinsic, ascending, defining serial sets which were crucial typing motor assign modality 5000 cluster by connectivity, identify serially homologous layered organisation likely corresponding peripheral topography. Finally, present selected examples circuits predicated on programmatic analysis VNC connectome. Our are critical analysing structure descending input output, both described in third (Cheong 2023). These being released part neuprint.janelia.org clio.janelia.org web applications also serve basis connectome through dedicated tools paper.

Язык: Английский

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Machine learning reveals the control mechanics of an insect wing hinge

Nature, Год журнала: 2024, Номер 628(8009), С. 795 - 803

Опубликована: Апрель 17, 2024

Язык: Английский

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Neural circuit mechanisms for steering control in walking Drosophila

Опубликована: Ноя. 27, 2024

Orienting behaviors provide a continuous stream of information about an organism’s sensory experiences and plans. Thus, to study the links between sensation action, it is useful identify neurons in brain that control orienting behaviors. Here we describe descending Drosophila predict influence orientation (heading) during walking. We show these cells have specialized functions: whereas one cell type predicts sustained low-gain steering, other transient high-gain steering. These latter integrate internally-directed steering signals from head direction system with stimulus-directed multimodal pathways. The inputs are organized produce “see-saw” commands, so increasing output hemisphere accompanied by decreasing hemisphere. Together, our results internal external drives integrated motor commands different timescales, for flexible precise space.

Язык: Английский

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A split-GAL4 driver line resource forDrosophilaneuron types

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 10, 2024

Abstract Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Язык: Английский

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Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июнь 1, 2024

Abstract Electron microscopy (EM) revolutionized the way to visualize cellular ultrastructure. Volume EM (vEM) has further broadened its three-dimensional nanoscale imaging capacity. However, intrinsic trade-offs between speed and quality of restrict attainable area volume. Isotropic with vEM for large biological volumes remains unachievable. Here, we developed EMDiffuse, a suite algorithms designed enhance capabilities, leveraging cutting-edge image generation diffusion model. EMDiffuse generates realistic predictions high resolution ultrastructural details exhibits robust transferability by taking only one pair images 3 megapixels fine-tune in denoising super-resolution tasks. also demonstrated proficiency isotropic reconstruction task, generating volume even absence training data. We robustness from seven public datasets obtained different techniques instruments. The generated enables accurate ultrastructure analysis. features self-assessment functionalities on predictions’ reliability. envision pave investigations intricate subcellular within systems.

Язык: Английский

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A split-GAL4 driver line resource for Drosophila neuron types

eLife, Год журнала: 2025, Номер 13

Опубликована: Янв. 24, 2025

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system (CNS) have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult CNS 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal cell-type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Язык: Английский

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