Multiplexing viral approaches to the study of the neuronal circuits.

Autor: Chadney OMT; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Trondheim, Norway. Electronic address: oscar.m.t.chadney@ntnu.no., Blankvoort S; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Trondheim, Norway., Grimstvedt JS; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Trondheim, Norway., Utz A; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Trondheim, Norway., Kentros CG; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Trondheim, Norway. Electronic address: clifford.kentros@ntnu.no.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2021 Jun 01; Vol. 357, pp. 109142. Date of Electronic Publication: 2021 Mar 20.
DOI: 10.1016/j.jneumeth.2021.109142
Abstrakt: Neural circuits are composed of multitudes of elaborately interconnected cell types. Understanding neural circuit function requires not only cell-specific knowledge of connectivity, but the ability to record and manipulate distinct cell types independently. Recent advances in viral vectors promise the requisite specificity to perform true "circuit-breaking" experiments. However, such new avenues of multiplexed, cell-specific investigation raise new technical issues: one must ensure that both the viral vectors and their transgene payloads do not overlap with each other in both an anatomical and a functional sense. This review describes benefits and issues regarding the use of viral vectors to analyse the function of neural circuits and provides a resource for the design and implementation of such multiplexing experiments.
(Copyright © 2021. Published by Elsevier B.V.)
Databáze: MEDLINE
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