Loughborough University
Browse

Gradient biomimetic platforms for neurogenesis studies

Download (2.82 MB)
journal contribution
posted on 2022-07-01, 13:01 authored by Laurissa Havins, Andrew CapelAndrew Capel, Steven ChristieSteven Christie, Mark LewisMark Lewis, Paul RoachPaul Roach

There is a need for the development of new cellular therapies for the treatment of many diseases, with the central nervous system (CNS) currently an area of specific focus. Due to the complexity and delicacy of its biology, there is currently a limited understanding of neurogenesis and consequently a lack of reliable test platforms, resulting in several CNS based diseases having no cure. The ability to differentiate pluripotent stem cells into specific neuronal sub-types may enable scalable manufacture for clinical therapies, with a focus also on the purity and quality of the cell population. This focus is targeted towards an urgent need for the diseases that currently have no cure, e.g. Parkinson’s disease. Differentiation studies carried out using traditional 2D cell culture techniques are designed using biological signals and morphogens known to be important for neurogenesis in vivo. However, such studies are limited by their simplistic nature, including a general poor efficiency and reproducibility, high reagent costs and an inability to scale-up the process to a manufacture-wide design for clinical use. Biomimetic approaches to recapitulate a more in vivo-like environment are progressing rapidly within this field, with application of bio(chemical) gradients presented both as 2D surfaces and within a 3D volume. This review focusses on the development and application of these advanced extracellular environments particularly for the neural niche. We emphasise the progress that has been made specifically in the area of stem cell derived neuronal differentiation. Increasing developments in biomaterial approaches to manufacture stem cells will enable the improvement of differentiation protocols, enhancing the efficiency and repeatability of the process with a move towards up-scaling. Progress in this area brings these techniques closer to enabling the development of therapies for the clinic.

Funding

EPSRC and MRC Centre for Doctoral Training in Regenerative Medicine

Engineering and Physical Sciences Research Council

Find out more...

History

School

  • Science

Department

  • Chemistry

Published in

Journal of Neural Engineering

Volume

19

Issue

1

Publisher

IOP Publishing

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an Open Access Article. It is published by IOP Publishing under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-12-23

Publication date

2022-01-24

Copyright date

2022

ISSN

1741-2560

eISSN

1741-2552

Language

  • en

Depositor

Dr Paul Roach. Deposit date: 28 June 2022

Article number

011001

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC