Literature DB >> 35511862

Exploring Motor Neuron Diseases Using iPSC Platforms.

Alexandra E Johns1, Nicholas J Maragakis1.   

Abstract

The degeneration of motor neurons is a pathological hallmark of motor neuron diseases (MNDs), but emerging evidence suggests that neuronal vulnerability extends well beyond this cell subtype. The ability to assess motor function in the clinic is limited to physical examination, electrophysiological measures, and tissue-based or neuroimaging techniques which lack the resolution to accurately assess neuronal dysfunction as the disease progresses. Spinal muscular atrophy (SMA), spinal and bulbar muscular atrophy (SBMA), hereditary spastic paraplegia (HSP), and amyotrophic lateral sclerosis (ALS) are all MNDs with devastating clinical outcomes that contribute significantly to disease burden as patients are no longer able to carry out normal activities of daily living. The critical need to accurately assess the cause and progression of motor neuron dysfunction, especially in the early stages of those diseases, has motivated the use of human iPSC-derived motor neurons (hiPSC-MN) to study the neurobiological mechanisms underlying disease pathogenesis and to generate platforms for therapeutic discovery and testing. As our understanding of MNDs has grown, so too has our need to develop more complex in vitro models which include hiPSC-MN co-cultured with relevant non-neuronal cells in 2D as well as in 3D organoid and spheroid systems. These more complex hiPSC-derived culture systems have led to the implementation of new technologies, including microfluidics, multielectrode array, and machine learning which offer novel insights into the functional correlates of these emerging model systems.
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  ALS; hereditary spastic paraplegia; motor neuron disease; spinal and bulbar muscular atrophy; spinal muscular atrophy; stem cell

Mesh:

Year:  2022        PMID: 35511862      PMCID: PMC9199844          DOI: 10.1093/stmcls/sxab006

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   5.845


  114 in total

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Journal:  Stem Cells       Date:  2014-02       Impact factor: 6.277

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4.  Induced pluripotent stem cells from a spinal muscular atrophy patient.

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Journal:  Nature       Date:  2008-12-21       Impact factor: 49.962

5.  Trehalose induces autophagy via lysosomal-mediated TFEB activation in models of motoneuron degeneration.

Authors:  Paola Rusmini; Katia Cortese; Valeria Crippa; Riccardo Cristofani; Maria Elena Cicardi; Veronica Ferrari; Giulia Vezzoli; Barbara Tedesco; Marco Meroni; Elio Messi; Margherita Piccolella; Mariarita Galbiati; Massimiliano Garrè; Elena Morelli; Thomas Vaccari; Angelo Poletti
Journal:  Autophagy       Date:  2018-11-05       Impact factor: 16.016

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Authors:  Michiko Yoshida; Shiho Kitaoka; Naohiro Egawa; Mayu Yamane; Ryunosuke Ikeda; Kayoko Tsukita; Naoki Amano; Akira Watanabe; Masafumi Morimoto; Jun Takahashi; Hajime Hosoi; Tatsutoshi Nakahata; Haruhisa Inoue; Megumu K Saito
Journal:  Stem Cell Reports       Date:  2015-03-19       Impact factor: 7.765

7.  Dysfunction of spatacsin leads to axonal pathology in SPG11-linked hereditary spastic paraplegia.

Authors:  Francesc Pérez-Brangulí; Himanshu K Mishra; Iryna Prots; Steven Havlicek; Zacharias Kohl; Domenica Saul; Christine Rummel; Jonatan Dorca-Arevalo; Martin Regensburger; Daniela Graef; Elisabeth Sock; Juan Blasi; Teja W Groemer; Ursula Schlötzer-Schrehardt; Jürgen Winkler; Beate Winner
Journal:  Hum Mol Genet       Date:  2014-05-02       Impact factor: 6.150

8.  Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis.

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9.  Genetic Correction of SOD1 Mutant iPSCs Reveals ERK and JNK Activated AP1 as a Driver of Neurodegeneration in Amyotrophic Lateral Sclerosis.

Authors:  Akshay Bhinge; Seema C Namboori; Xiaoyu Zhang; Antonius M J VanDongen; Lawrence W Stanton
Journal:  Stem Cell Reports       Date:  2017-03-30       Impact factor: 7.765

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