celegans_varshney — C. elegans hermaphrodite somatic neurons (2011)

Description

Directed network of the somatic nervous system of the adult hermaphrodite nematode Caenorhabditis elegans, as compiled by Varshney et al. from the serial-section electron micrographs of White et al. (1986), with revisions and additions from new reconstructions. It comprises the 279 non-pharyngeal neurons that make synapses (the 20 pharyngeal neurons, and CANL/R and VC06, which make no synapses, are excluded). There is one edge for each pair of neurons and type of connection: chemical synapses, directed from the presynaptic to the postsynaptic neuron, and gap junctions (electrical synapses), which are symmetric. Edges are weighted by the number of synapses.

The network has the following properties:

Nodes: name, the neuron name; cell_class, the neuron class (e.g. "VA" for VA01 to VA12); role, "S" for sensory, "M" for motor, or "NA" (interneurons and others); neurotransmitters, the known neurotransmitters ("Ach", "GABA", "DA", "5-HT", or "NA" if unknown); soma_pos, the position of the cell body along the anterior-posterior body axis (0 at the head, 1 at the tail).
Edges: synapse_type, "C" for chemical synapse and "E" for gap junction; weight, the number of synapses.

The OpenConnectome file is labelled as the "pharynx" network, but contains the somatic (non-pharyngeal) network described above. The data were obtained from the graph collection of the Open Connectome Project (now NeuroData), whose servers are offline, via the Internet Archive.

Tags

Biological Connectome Weighted Multigraph Metadata

Citation

L. R. Varshney, B. L. Chen, E. Paniagua, D. H. Hall, D. B. Chklovskii, "Structural Properties of the Caenorhabditis elegans Neuronal Network." PLoS Computational Biology 7(2), e1001066 (2011) 10.1371/journal.pcbi.1001066 Sci-Hub

Upstream URL OK

https://web.archive.org/web/20160420202242/http://openconnecto.me/graph-services/download/

Networks

Tip: hover over a column header for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
celegans_varshney	279	3,225	11.56	19.25	24.37	5.67	-0.08	0.23	5	1.00	Directed	Unipartite	cell_class name neurotransmitters role soma_pos	synapse_type weight	8 KiB	17 KiB	16 KiB	13 KiB