Journal of Cell ScienceNeurosciencePeer-reviewed journal article
Differentiation of ciliated human midbrain-derived LUHMES neurons
Gilbert LauteriD, Andrea CoschieraiD, Masahito YoshiharaiD, Debora Sugiaman‐TrapmaniD, Sini EzeriD, Shalini SethurathinamiD, Shintaro KatayamaiD, Juha KereiD, Peter SwobodaiD
Abstract
Many human cell types are ciliated, including neural progenitors and differentiated neurons. Ciliopathies are characterized by defective cilia and comprise various disease states, including brain phenotypes, where the underlying biological pathways are largely unknown. Our understanding of neuronal cilia is rudimentary and an easy-to-maintain, ciliated human neuronal cell model is missing. LUHMES is a ciliated neuronal cell line derived from human fetal mesencephalon. LUHMES cells can easily be maintained and differentiated into mature, functional neurons within one week. They have a single primary cilium as proliferating progenitor cells and as post-mitotic, differentiating neurons. These developmental stages are completely separable within one day of culture condition change. The Sonic Hedgehog (SHH) signaling pathway is active in differentiating LUHMES neurons. RNA-seq time course analyses reveal molecular pathways and gene-regulatory networks critical for ciliogenesis and axon outgrowth at the interface between progenitor cell proliferation, polarization and neuronal differentiation. Gene expression dynamics of cultured LUHMES neurons faithfully mimic the corresponding in vivo dynamics of human fetal midbrain. In LUHMES, neuronal cilia biology can be investigated along a complete timeline: from proliferation through differentiation to mature neurons. Summary StatementWith LUHMES, a ciliated human neuronal cell model, the underlying "neurobiology" of cilia and ciliopathies can be investigated along a complete time line: from proliferation through differentiation to mature neurons.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 16
- FWCI
- 0.73
- Field percentile
- top 31%
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