Biohybrid approaches to interface with the nervous system: the best of both worlds.

Nervous System

Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
12 2021
Historique:
received: 29 03 2021
revised: 27 08 2021
accepted: 13 10 2021
pubmed: 5 11 2021
medline: 1 2 2022
entrez: 4 11 2021
Statut: ppublish

Résumé

Synthetic materials and devices that interact with light, ultrasound, or magnetic fields can be used to modulate neural activity with high spatial and temporal precision; however, these approaches often lack the ability to target genetically defined cell types and signaling pathways. Genetically encoded proteins can be expressed to modify the host tissue and provide cellular and molecular specificity, but compared to synthetic materials, these proteins often interact weakly with externally applied energy sources. Synthetic materials can respond to optical, acoustic, and magnetic stimuli to focus, convert, and amplify forms of energy to ones that are more accessible to engineered cells and proteins. By combining the devices, synthetic materials, and genetically encoded proteins or cells, researchers can gain the ability to interface with the nervous system with improved spatiotemporal, cell-type and molecular precision. Here we review recent advances in these 'biohybrid' approaches that use optical, acoustic, and magnetic energy sources.

Identifiants

DOI: 10.1016/j.copbio.2021.10.009 PMID: 34735989
pubmed: 34735989
pii: S0958-1669(21)00196-8
doi: 10.1016/j.copbio.2021.10.009
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-94

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Boao Xia (B)

Department of Bioengineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77005, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA.

Charles Sebesta (C)

Department of Bioengineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77005, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA.

Sangsin Lee (S)

Department of Bioengineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77005, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA.

Vishnu Nair (V)

Department of Electrical and Computer Engineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77251, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA.

Xuan Zhao (X)

Department of Electrical and Computer Engineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77251, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA; Applied Physics Graduate Program, Smalley-Curl Institute, Rice University 77251, Houston, TX, USA.

Samantha Coffler (S)

Department of Electrical and Computer Engineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77251, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA; Systems, Synthetic, and Physical Biology PhD Program, Rice University, Houston, TX, 77251, USA.

Jacob T Robinson (JT)

Department of Bioengineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77005, USA; Department of Electrical and Computer Engineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77251, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA. Electronic address: jtrobinson@rice.edu.

Jerzy O Szablowski (JO)

Department of Bioengineering, George R. Brown School of Engineering, Rice University, Houston, TX, 77005, USA; Rice Neuroengineering Initiative, George R. Brown School of Engineering, Rice University, Houston, TX, 77030, USA; Applied Physics Graduate Program, Smalley-Curl Institute, Rice University 77251, Houston, TX, USA; Systems, Synthetic, and Physical Biology PhD Program, Rice University, Houston, TX, 77251, USA. Electronic address: jszab@rice.edu.

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Classifications MeSH

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