PLoS Genetics · 2014 · 297 citations · 30 references
Life SciencesCell BiologyMolecular BiologyEpigeneticsGene ExpressionStem Cell BiologyCell-type-specific TranscriptomicsEpigenetic HeterogeneityStem Cell DifferentiationStem Cell GenomicsTranscriptomic HeterogeneityCell-state SignaturesCell-type-specific Epigenetic ProfilingEpigenetic MemoryHuman Induced Pluripotent Stem Cell ModelsSomatic Epigenetic MemoryTranscriptional Heterogeneity
Human iPSC lines derived from diverse tissues and donors are heterogeneous, limiting their utility in disease modeling and personalized medicine. The study aimed to determine the source of this heterogeneity by generating 25 iPSC lines from the same somatic tissues across multiple donors under standardized conditions. RNA‑seq profiles of each line were compared to identify the main contributors to transcriptional heterogeneity. The analysis showed that donor genetic differences drive most transcriptional variation, whereas epigenetic memory contributes little, implying that future iPSC studies should prioritize donor diversity over line number and that iPSCs are a stable, robust platform for genetic investigations.
Human iPS cells have been generated using a diverse range of tissues from a variety of donors using different reprogramming vectors. However, these cell lines are heterogeneous, which presents a limitation for their use in disease modeling and personalized medicine. To explore the basis of this heterogeneity we generated 25 iPS cell lines under normalised conditions from the same set of somatic tissues across a number of donors. RNA-seq data sets from each cell line were compared to identify the majority contributors to transcriptional heterogeneity. We found that genetic differences between individual donors were the major cause of transcriptional variation between lines. In contrast, residual signatures from the somatic cell of origin, so called epigenetic memory, contributed relatively little to transcriptional variation. Thus, underlying genetic background variation is responsible for most heterogeneity between human iPS cell lines. We conclude that epigenetic effects in hIPSCs are minimal, and that hIPSCs are a stable, robust and powerful platform for large-scale studies of the function of genetic differences between individuals. Our data also suggest that future studies using hIPSCs as a model system should focus most effort on collection of large numbers of donors, rather than generating large numbers of lines from the same donor.
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