Cargando…

A robot for high yield electrophysiology and morphology of single neurons in vivo

Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure–function relationship and neuronal cell-type classification. Here we report a robot for efficiently performing in vivo single-cell experiments...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Lu, Ouellette, Benjamin, Stoy, William A., Garren, Emma J., Daigle, Tanya L., Forest, Craig R., Koch, Christof, Zeng, Hongkui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461495/
https://www.ncbi.nlm.nih.gov/pubmed/28569837
http://dx.doi.org/10.1038/ncomms15604
_version_ 1783242343151828992
author Li, Lu
Ouellette, Benjamin
Stoy, William A.
Garren, Emma J.
Daigle, Tanya L.
Forest, Craig R.
Koch, Christof
Zeng, Hongkui
author_facet Li, Lu
Ouellette, Benjamin
Stoy, William A.
Garren, Emma J.
Daigle, Tanya L.
Forest, Craig R.
Koch, Christof
Zeng, Hongkui
author_sort Li, Lu
collection PubMed
description Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure–function relationship and neuronal cell-type classification. Here we report a robot for efficiently performing in vivo single-cell experiments in deep brain tissues optically difficult to access. This robot automates blind (non-visually guided) single-cell electroporation (SCE) and extracellular electrophysiology, and can be used to characterize neuronal morphological and physiological properties of, and/or manipulate genetic/chemical contents via delivering extraneous materials (for example, genes) into single neurons in vivo. Tested in the mouse brain, our robot successfully reveals the full morphology of single-infragranular neurons recorded in multiple neocortical regions, as well as deep brain structures such as hippocampal CA3, with high efficiency. Our robot thus can greatly facilitate the study of in vivo full morphology and electrophysiology of single neurons in the brain.
format Online
Article
Text
id pubmed-5461495
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-54614952017-06-13 A robot for high yield electrophysiology and morphology of single neurons in vivo Li, Lu Ouellette, Benjamin Stoy, William A. Garren, Emma J. Daigle, Tanya L. Forest, Craig R. Koch, Christof Zeng, Hongkui Nat Commun Article Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure–function relationship and neuronal cell-type classification. Here we report a robot for efficiently performing in vivo single-cell experiments in deep brain tissues optically difficult to access. This robot automates blind (non-visually guided) single-cell electroporation (SCE) and extracellular electrophysiology, and can be used to characterize neuronal morphological and physiological properties of, and/or manipulate genetic/chemical contents via delivering extraneous materials (for example, genes) into single neurons in vivo. Tested in the mouse brain, our robot successfully reveals the full morphology of single-infragranular neurons recorded in multiple neocortical regions, as well as deep brain structures such as hippocampal CA3, with high efficiency. Our robot thus can greatly facilitate the study of in vivo full morphology and electrophysiology of single neurons in the brain. Nature Publishing Group 2017-06-01 /pmc/articles/PMC5461495/ /pubmed/28569837 http://dx.doi.org/10.1038/ncomms15604 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Li, Lu
Ouellette, Benjamin
Stoy, William A.
Garren, Emma J.
Daigle, Tanya L.
Forest, Craig R.
Koch, Christof
Zeng, Hongkui
A robot for high yield electrophysiology and morphology of single neurons in vivo
title A robot for high yield electrophysiology and morphology of single neurons in vivo
title_full A robot for high yield electrophysiology and morphology of single neurons in vivo
title_fullStr A robot for high yield electrophysiology and morphology of single neurons in vivo
title_full_unstemmed A robot for high yield electrophysiology and morphology of single neurons in vivo
title_short A robot for high yield electrophysiology and morphology of single neurons in vivo
title_sort robot for high yield electrophysiology and morphology of single neurons in vivo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461495/
https://www.ncbi.nlm.nih.gov/pubmed/28569837
http://dx.doi.org/10.1038/ncomms15604
work_keys_str_mv AT lilu arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT ouellettebenjamin arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT stoywilliama arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT garrenemmaj arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT daigletanyal arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT forestcraigr arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT kochchristof arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT zenghongkui arobotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT lilu robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT ouellettebenjamin robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT stoywilliama robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT garrenemmaj robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT daigletanyal robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT forestcraigr robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT kochchristof robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo
AT zenghongkui robotforhighyieldelectrophysiologyandmorphologyofsingleneuronsinvivo