4.7 Article

Single-Cell Sequencing of iPSC-Dopamine Neurons Reconstructs Disease Progression and Identifies HDAC4 as a Regulator of Parkinson Cell Phenotypes

期刊

CELL STEM CELL
卷 24, 期 1, 页码 93-+

出版社

CELL PRESS
DOI: 10.1016/j.stem.2018.10.023

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资金

  1. Monument Trust Discovery Award from Parkinson's UK
  2. Medical Research Council, UK
  3. Oxford Martin School [LC0910-004]
  4. Wellcome Trust [092762/Z/10/Z, 090532/Z/09/Z, WTISSF121302]
  5. National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at Oxford University Hospitals NHS Trust
  6. University of Oxford
  7. Dementia and Neurodegenerative Diseases Research Network (DeNDRoN)
  8. Innovative Medicines Initiative Joint Undertaking (IMIJU) from the European Union [n_115439]
  9. Parkinson's UK (COAF) [J-1403]
  10. Wellcome Trust [092762/Z/10/Z] Funding Source: Wellcome Trust
  11. MRC [MC_UP_A320_1004, MR/L023784/2, UKDRI-3005, MC_EX_MR/N50192X/1, MR/M00919X/1, MR/L023784/1, MR/L006340/1, G84/6443, MC_UU_12021/4, MC_UU_12009/16, MC_PC_16034, MR/M024962/1] Funding Source: UKRI

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Induced pluripotent stem cell (iPSC)-derived dopamine neurons provide an opportunity to model Parkinson's disease (PD), but neuronal cultures are confounded by asynchronous and heterogeneous appearance of disease phenotypes in vitro. Using high-resolution, single-cell transcriptomic analyses of iPSC-derived dopamine neurons carrying the GBA-N370S PD risk variant, we identified a progressive axis of gene expression variation leading to endoplasmic reticulum stress. Pseudotime analysis of genes differentially expressed (DE) along this axis identified the transcriptional repressor histone deacetylase 4 (HDAC4) as an upstream regulator of disease progression. HDAC4 was mislocalized to the nucleus in PD iPSC-derived dopamine neurons and repressed genes early in the disease axis, leading to late deficits in protein homeostasis. Treatment of iPSC-derived dopamine neurons with HDAC4-modulating compounds upregulated genes early in the DE axis and corrected PD-related cellular phenotypes. Our study demonstrates how single-cell transcriptomics can exploit cellular heterogeneity to reveal disease mechanisms and identify therapeutic targets.

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