Published March 27, 2022 | Version 1.1
Dataset Open

Somatic mutations alter the differentiation outcomes of iPSC-derived neurons (Metadata and AnnData/H5AD files)

  • 1. UCL Great Ormond Street Institute of Child Health, University College London, London, UK
  • 1. Open Targets, Wellcome Genome Campus, Cambridge, UK
  • 2. Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
  • 3. UCL Great Ormond Street Institute of Child Health, University College London, London, UK
  • 4. Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Finland

Description

Data S1: Metadata information for the 828,937 processed cells from the DN dataset: donor identity, cell type annotation, pool identifier, 10x sample, time point and replicate information. Related to STAR Methods: Reanalysis of pooled single-cell data (DA).

Data S2-S4: AnnData/H5AD files containing the single-cell gene expression matrices and the metadata for day 11, day 30 and day 52, respectively. The gene expression is normalised and log-transformed, but not scaled. md5 files are also included. Related to STAR Methods:  DE analysis between failed and successful lines.

#File names:

File-Data S1:     suppData1.RDS

File-Data S2:     allpools.scanpy.D11.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad

File-Data S3:     allpools.scanpy.D30.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad

File-Data S4:     allpools.scanpy.D52.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad

Files

Additional details

References

  • Puigdevall, P. et al. Effects of somatic mutations on cellular differentiation in iPSC models of neurodevelopment. bioRxiv (2022) doi:10.1101/2022.03.04.482992.