Literature DB >> 27852766

Compartmentalized Microfluidic Platforms: The Unrivaled Breakthrough of In Vitro Tools for Neurobiological Research.

Estrela Neto1,2,3, Luís Leitão1,2,4, Daniela M Sousa1,2, Cecília J Alves1,2, Inês S Alencastre1,2, Paulo Aguiar1,2, Meriem Lamghari5,2,4.   

Abstract

Microfluidic technology has become a valuable tool to the scientific community, allowing researchers to study fine cellular mechanisms with higher variable control compared with conventional systems. It has evolved tremendously, and its applicability and flexibility made its usage grow exponentially and transversely to several research fields. This has been particularly noticeable in neuroscience research, where microfluidic platforms made it possible to address specific questions extending from axonal guidance, synapse formation, or axonal transport to the development of 3D models of the CNS to allow pharmacological testing and drug screening. Furthermore, the continuous upgrade of microfluidic platforms has allowed a deeper study of the communication occurring between different neuronal and glial cells or between neurons and other peripheral tissues, both in physiological and pathological conditions. Importantly, the evolution of microfluidic technology has always been accompanied by the development of new computational tools addressing data acquisition, analysis, and modeling.
Copyright © 2016 the authors 0270-6474/16/3611573-12$15.00/0.

Mesh:

Year:  2016        PMID: 27852766      PMCID: PMC6705634          DOI: 10.1523/JNEUROSCI.1748-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  27 in total

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Review 7.  Modeling Neurodegenerative Diseases Using In Vitro Compartmentalized Microfluidic Devices.

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Review 9.  Peering into tunneling nanotubes-The path forward.

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10.  Molecular-Scale Dynamics of Long Range Retrograde Brain-Derived Neurotrophic Factor Transport Shaped by Cellular Spatial Context.

Authors:  Anke Vermehren-Schmaedick; Mark J Olah; Damien Ramunno-Johnson; Keith A Lidke; Michael S Cohen; Tania Q Vu
Journal:  Front Neurosci       Date:  2022-03-31       Impact factor: 4.677

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