ReviewStem cells international2016
Generating Diverse Spinal Motor Neuron Subtypes from Human Pluripotent Stem Cells.
Review in Stem cells international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Regeneration after Spinal Cord Injury: A Review on the Crucial Aspects of V2a Interneurons.Journal of neurotrauma · 2026Article
- Morphological segmentation with tiling light sheet microscopy to quantitatively analyze the three-dimensional structures of spinal motoneurons.Cell regeneration (London, England) · 2025Article
- Neuromuscular dysfunction in patient-derived FUSNAR molecular medicine · 2025Article
- A novel protocol to derive cervical motor neurons from induced pluripotent stem cells for amyotrophic lateral sclerosis.Stem cell reports · 2023Article
- Directional induction of neural stem cells, a new therapy for neurodegenerative diseases and ischemic stroke.Cell death discovery · 2023Review
- Stem Cell Neurodevelopmental Solutions for Restorative Treatments of the Human Trunk and Spine.Frontiers in cellular neuroscience · 2021Article
- Generation and optimization of highly pure motor neurons from human induced pluripotent stem cells via lentiviral delivery of transcription factors.American journal of physiology. Cell physiology · 2020Article
- Aberrant axon branching via Fos-B dysregulation in FUS-ALS motor neurons.EBioMedicine · 2019Article
- Harnessing cellular aging in human stem cell models of amyotrophic lateral sclerosis.Aging cell · 2019Review
- Restoring Motor Neurons in Spinal Cord Injury With Induced Pluripotent Stem Cells.Frontiers in cellular neuroscience · 2019Review
- Three-Dimensional Human iPSC-Derived Artificial Skeletal Muscles Model Muscular Dystrophies and Enable Multilineage Tissue Engineering.Cell reports · 2018Article
- The translational potential of human induced pluripotent stem cells for clinical neurology : The translational potential of hiPSCs in neurology.Cell biology and toxicology · 2017Review
- Human Stem Cell-Derived Astrocytes: Specification and Relevance for Neurological Disorders.Current stem cell reportsReview
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resolving the mechanisms underlying human neuronal diversification remains a major challenge in developmental and applied neurobiology. Motor neurons (MNs) represent a diverse pool of neuronal subtypes exhibiting differential vulnerability in different human neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA). The ability to predictably manipulate MN subtype lineage restriction from human pluripotent stem cells (PSCs) will form the essential basis to establishing accurate, clinically relevant in vitro disease models. I first overview motor neuron developmental biology to provide some context for reviewing recent studies interrogating pathways that influence the generation of MN diversity. I conclude that motor neurogenesis from PSCs provides a powerful reductionist model system to gain insight into the developmental logic of MN subtype diversification and serves more broadly as a leading exemplar of potential strategies to resolve the molecular basis of neuronal subclass differentiation within the nervous system. These studies will in turn permit greater mechanistic understanding of differential MN subtype vulnerability using in vitro human disease models.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.