NDLI: High Throughput Algorithms for Mapping the Topology of Neuronal and Glial Networks

Content Provider	IEEE Xplore Digital Library
Author	Silva, G.A. Culp, B.
Copyright Year	2005
Description	Author affiliation: Dept. of Bioeng., California Univ., San Diego, La Jolla (Silva, G.A.; Culp, B.)
Abstract	Complex networks underlie the very foundation of neuroscience and the mammalian nervous system, yet high throughput computationally intensive measurements of molecular signaling between large groups of cells and the extraction of statistically significant quantitative information about the underlying network structure is not possible given current techniques. We have developed novel computational algorithms designed for high throughput characterization and analysis of complex neural cell networks (i.e. both neuronal and glial) that are applicable to measurements of inter- and intracellular fluorescence signaling in vitro using real time live cell fluorescence or confocal microscopy and in vivo using multi-photon (e.g. two photon) microscopy. The practical implementation of these algorithms is based on an integrated software suite we have developed called CellMap, which facilitates mapping and analyzing the functional structure (i.e. architecture or topology) of cellular networks. Here, we have focused on calcium mediated intercellular signaling in spontaneously forming astrocyte macroglial networks. We show that the underlying structure of these networks formed in vitro have non-random topologies consistent with a potential scale-free type topology as described by network theory, which provides a unifying mathematical basis for the structure of complex networks (e.g. from electrical power grids to human social networks to metabolic networks in cells). This work represents the first indication that intercellular chemical signaling in CNS cells has a previously unknown underlying topological structure. A quantitative understanding of the structure of CNS networks would most likely influence and produce novel conceptual hypotheses regarding how neural information is represented and processed
Starting Page	344
Ending Page	347
File Size	1958517
Page Count	4
File Format	PDF
ISBN	0780387104
DOI	10.1109/CNE.2005.1419628
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Neuroscience Network topology Microscopy Complex networks Fluorescence Throughput Extraterrestrial measurements Computer networks In vitro
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in