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NeuronDB

Database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments. This resource is intended to: *Support the genomics and proteomics of neuron types *Support research on neuron properties *Facilitate the creation of computational neuronal models *Identify receptors across neuron types to aid in drug development *Serve as a teaching aid Search the Database By: *Neuron List Alphabetically *Neuron List By Brain Regions *Membrane Properties Comprehensive Inventory: Channels, Receptors, Neurotransmitters / Neuromodulators *Membrane Properties for NeuronDB: Currents, Receptors, Neurotransmitters / Neuromodulators *Canonical forms of neurons (see explanation) *Bibliographic citations

URL: http://senselab.med.yale.edu/neurondb

Resource ID: nif-0000-00054     Resource Type: Resource     Version: Latest Version

Keywords

brain, cellular, cerebellum, cortex, dendrite, human, invertebrate, ion channel, molecular, mouse, neuroinformatics, neuron, neuronal property, neurotransmitter receptor, neurotransmitter substance, olfactory, physiology, rat, receptor, retina, voltage gated conductance, rodent, rat, non-human animal

Listed By

Biositemaps

Availability

Public

Abbreviation

NeuronDB

Synonyms

Neuron database, Neuron DB, Neuron database

Parent Organization

Additional Resource Types

database, data analysis service

Used By

NIF Data Federation

Supercategory

Resource

Original Submitter

Anonymous

Version Status

Curated

Submitted On

12:00am April 20, 2012

Originated From

SciCrunch

Changes from Previous Version

First Version

Version 1

Created 3 years ago by Anonymous

Database tools for integrating and searching membrane property data correlated with neuronal morphology.

  • Mirsky JS
  • J. Neurosci. Methods
  • 1998 1

A critical problem in neuroscience is the lack of database tools for integrating neuronal property data. We report here the development of a combined object oriented-relational database (NeuronDB, http://senselab.med.yale.edu/neurondb) that meets these needs by providing tools for integrating data within neurons and comparing data across neurons. It focuses on three types of neuronal properties voltage-gated channels, neurotransmitter receptors, and neurotransmitters. The data are organized in relation to different regions of neurons as represented in canonical forms; using simple canonical models of complex cells as a vehicle for indexing information permits the database to be searchable across different neurons. Using these multidimensional search tools, users can locate specific properties in specific regions of a neuron; obtain integrated summaries of all properties within a region; and carry out searches to compare properties across equivalent compartments in different neurons. These tools thus permit searches of the multidimensional neuron property space equivalent to homology searches of sequence databases. NeuronDB is accessible over the Internet; it provides immediate links to citation indexes and abstracts supporting the deposited data, and annotations that indicate the state of acceptance of the data. Users are encouraged to contribute data. The ability to input the data from NeuronDB directly to NEURON and GENESIS is being developed. As a shared Web resource, NeuronDB should enhance the efforts of neuroscientists and neuronal modellers to analyze and compare the functional operations of different types of neurons.

SenseLab: new developments in disseminating neuroscience information.

  • Crasto CJ
  • Brief. Bioinformatics
  • 2007 8

This article presents the latest developments in neuroscience information dissemination through the SenseLab suite of databases: NeuronDB, CellPropDB, ORDB, OdorDB, OdorMapDB, ModelDB and BrainPharm. These databases include information related to: (i) neuronal membrane properties and neuronal models, and (ii) genetics, genomics, proteomics and imaging studies of the olfactory system. We describe here: the new features for each database, the evolution of SenseLab's unifying database architecture and instances of SenseLab database interoperation with other neuroscience online resources.