bioRxivDevelopmental BiologyPreprint
Expression bias in retinoic acid responsive genes defines variations in neural differentiation of human pluripotent stem cells
Suel–Kee KimiD, Seungmae SeoiD, Genevieve Stein-O’BrieniD, Amritha Jaishankar, Kazuya Ogawa, Nicola MicaliiD, Victor A LuriaiD, Amir KargeriD, Yanhong WangiD, Thomas M. HydeiD, Joel E. KleinmaniD, Ty C. VossiD, Elana Judith FertigiD, Joo Heon ShiniD, Roland W. BürliiD, Alan J. CrossiD, Nicholas J. BrandoniD, Daniel R. WeinbergeriD, Josh G. ChenowethiD, Daniel J. HoeppneriD, Nenad ŠestaniD, Carlo ColantuoniiD, Ronald D.G. McKay
Abstract
Variability between human pluripotent stem cell (hPSC) lines remains a challenge and opportunity in biomedicine. We identified differences in the early lineage emergence across hPSC lines that mapped on the antero-posterior axis of embryonic development. RNA-seq analysis revealed dynamic transcriptomic patterns that defined the emergence of mesendodermal versus neuroectodermal lineages conserved across hPSC lines and cell line-specific transcriptional signatures that were invariant across differentiation. The stable cell line-specific transcriptomic patterns predicted the retinoic acid (RA) response of the cell lines, resulting in distinct bias towards fore-versus hind-brain fates. Replicate hPSC lines and paired adult donor tissue demonstrated that cells from individual humans expressed unique and long-lasting transcriptomic signatures associated with evolutionarily recent genes. In addition to this genetic contribution, we found that replicate lines from a single donor showed divergent brain regional fates linked to distinct chromatin states, indicating that epigenetic mechanisms also contribute to neural fate differences. This variation in lineage bias and its correlation with RA responsive gene expression was also observed in a large collection of hPSC lines. These results define transcriptomic differences in hPSCs that initiate a critical early step specifying anterior or posterior neural fates.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: spatial domain detection
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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