Helmholtz Gemeinschaft

Search
Browse
Statistics
Feeds

Manipulating neuronal circuits with endogenous and recombinant cell-surface tethered modulators

[thumbnail of 10570oa.pdf] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB

Item Type:Review
Title:Manipulating neuronal circuits with endogenous and recombinant cell-surface tethered modulators
Creators Name:Holford, M., Auer, S., Laqua, M. and Ibanez-Tallon, I.
Abstract:Neuronal circuits depend on the precise regulation of cell-surface receptors and ion channels. An ongoing challenge in neuroscience research is deciphering the functional contribution of specific receptors and ion channels using engineered modulators. A novel strategy, termed "tethered toxins", was recently developed to characterize neuronal circuits using the evolutionary derived selectivity of venom peptide toxins and endogenous peptide ligands, such as lynx1 prototoxins. Herein, the discovery and engineering of cell-surface tethered peptides is reviewed, with particular attention given to their cell-autonomy, modular composition, and genetic targeting in different model organisms. The relative ease with which tethered peptides can be engineered, coupled with the increasing number of neuroactive venom toxins and ligand peptides being discovered, imply a multitude of potentially innovative applications for manipulating neuronal circuits and tissue-specific cell networks, including treatment of disorders caused by malfunction of receptors and ion channels.
Keywords:Tethered-Toxins, Cell-Surface Modulators, lynx1, Receptors, Ion Channels
Source:Frontiers in Molecular Neuroscience
ISSN:1662-5099
Publisher:Frontiers Media SA
Volume:2
Page Range:21
Date:30 October 2009
Additional Information:This document is protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.
Official Publication:https://doi.org/10.3389/neuro.02.021.2009
PubMed:View item in PubMed

Repository Staff Only: item control page

Downloads

Downloads per month over past year

Open Access
MDC Library