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9 results for “Dendritic morphology”
Data set for "Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas"
<p>Data set for: Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. https://doi.org/10.3389/fnana.2021.791015</p> <p>There are 2 files in this upload:</p> <p>1. The file named "<strong>2022_Liu_FrontNeuroanat.pdf</strong>" is the Open Access pdf of the online publication in Frontiers in Neuroanatomy.</p> <p>2. The file named "<strong>Liu_data_code.zip</strong>" (~1 GB) is a zipped version of a folder ‘<em>Liu_data_code</em>’, which contains the data analyzed in the study along with the Python codes used to generate the published figures. The original high resolution image stacks obtained through whole-brain two-photon serial tomography are unfortunately too large for Zenodo, and only highly-downsampled data are included in this upload, which were used for registration with the Allen CCFv3. Instructions on how to view and analyse the anatomical data are provided in the 'README.docx' file, which you will find upon unzipping the folder.</p> <p> </p>
Computational synthesis of cortical dendritic morphologies
<p>Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles, and investigating brain disease related dendritic alterations. However, a lack of understanding of the principles underlying neuron morphologies has hindered attempts to computationally synthesize morphologies for decades. We introduce a synthesis algorithm based on a topological descriptor of neurons, which enables the rapid digital reconstruction of entire brain regions from few reference cells. This topology-guided synthesis generates dendrites that are statistically similar to biological reconstructions in terms of morpho-electrical and connectivity properties and offers a significant opportunity to investigate the links between neuronal morphology and brain function across different spatio-temporal scales. Synthesized cortical networks based on structurally altered dendrites associated with diverse brain pathologies, revealed principles linking branching properties to the structure of large-scale networks.</p> <p> </p> <p>We provide here the original biological reconstructions, the artificially generated cells and related data (electrical traces, connectivity of artificial networks) that were used for the analysis of the paper "Computational synthesis of cortical dendritic morphologies" to appear in Cell Reports.</p>
Raw data for: Dynamic instability of dendrite tips generates the highly branched morphologies of sensory neurons
<p>The highly ramified arbors of neuronal dendrites provide the substrate for the high connectivity and computational power of the brain. Altered dendritic morphology is associated with neuronal diseases. Many molecules have been shown to play crucial roles in shaping and maintaining dendrite morphology. Yet, the underlying principles by which molecular interactions generate branched morphologies are not understood. To elucidate these principles, we visualized the growth of dendrites throughout larval development of Drosophila sensory neurons and discovered that the tips of dendrites undergo dynamic instability, transitioning rapidly and stochastically between growing, shrinking, and paused states. By incorporating these measured dynamics into a novel, agent-based computational model, we showed that the complex and highly variable dendritic morphologies of these cells are a consequence of the stochastic dynamics of their dendrite tips. These principles may generalize to branching of other neuronal cell types, as well as to branching at the subcellular and tissue levels.</p>
Raw data for: Dynamic instability of dendrite tips generates the highly branched morphologies of sensory neurons
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UTX Regulates Human Neural Differentiation and Dendritic Morphology by Resolving Bivalent Promoters
GEO Series GSE152448. Homo sapiens. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Dendritic morphologies of human cortical neurons and Supplementary Materials for comparative studies in mice and humans
<p>This dataset includes local dendritic reconstructions of 2,363 human cortical neurons from the frontal, temporal, and parietal lobes. Together with the related Supplementary Materials in the paper. </p>
CpGs induce differentiation of Atlantic salmon mononuclear phagocytes into cells with dendritic morphology and a proinflammatory transcriptional profile but an exhausted allostimulatory activity
GEO Series GSE126993. Salmo salar. 13 samples. Type: Expression profiling by array.
A microRNA cluster downstream of Fezf2 coordinates projection identity and dendritic morphology in cortical projection neurons
GEO Series GSE260574. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
AHR IS A MASTER REGULATOR OF HIPPOCAMPAL-DEPENDENT MEMORY BY CONTROLLING NEUROGENESIS, DENDRITE GRANULE CELL MORPHOLOGY AND SYNAPTIC MATURATION
GEO Series GSE101453. Mus musculus. 6 samples. Type: Expression profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.