University of Sussex
Browse
Jeong Armstrong CellDeathDis2018.pdf (3.73 MB)

Generating inner ear organoids containing putative cochlear hair cells from human pluripotent stem cells

Download (3.73 MB)
journal contribution
posted on 2023-06-09, 15:25 authored by Minjin Jeong, Molly O'Reilly, Nerissa K Kirkwood, Jumana Al-Aama, Majlinda Lako, Corne Kros, Lyle Armstrong
In view of the prevalence of sensorineural hearing defects in an ageing population, the development of protocols to generate cochlear hair cells and their associated sensory neurons as tools to further our understanding of inner ear development are highly desirable. We report herein a robust protocol for the generation of both vestibular and cochlear hair cells from human pluripotent stem cells which represents an advance over currently available methods that have been reported to generate vestibular hair cells only. Generating otic organoids from human pluripotent stem cells using a three-dimensional culture system, we show formation of both types of sensory hair cells bearing stereociliary bundles with active mechano-sensory ion channels. These cells share many morphological characteristics with their in vivo counterparts during embryonic development of the cochlear and vestibular organs and moreover demonstrate electrophysiological activity detected through single-cell patch clamping. Collectively these data represent an advance in our ability to generate cells of an otic lineage and will be useful for building models of the sensory regions of the cochlea and vestibule.

History

Publication status

  • Published

File Version

  • Published version

Journal

Cell Death & Disease

ISSN

2041-4889

Publisher

Springer Nature

Issue

9922

Volume

9

Page range

1-13

Department affiliated with

  • Neuroscience Publications

Research groups affiliated with

  • Sussex Neuroscience Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-10-09

First Open Access (FOA) Date

2018-10-09

First Compliant Deposit (FCD) Date

2018-10-08

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC