GSE98569
High throughput single-cell whole transcriptome analysis of induced cardiomyocytes during direct cardiac reprogramming [Bulk-seq]
Direct lineage conversion offers a new strategy for tissue regeneration and disease modeling. Despite recent success in directly reprogramming fibroblasts into a wide spectrum of cell types, the precise changes that fibroblasts undergo as they progress to target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process make it difficult to study using bulk genomic techniques. Therefore, a fundamental and detailed understanding of global transcriptome changes at the single cell level is necessary to better optimize reprogramming for therapeutic purposes and to advance the understanding of cell plasticity and cell identity acquisition. Here, we applied single-cell RNA-seq to analyze global transcriptome changes at early stages of induced cardiomyocyte (iCM) reprogramming. Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells along the reprogramming process from fibroblasts to iCMs, including a novel intermediate state that exhibited molecular signatures of both fibroblast and cardiomyocyte. In summary, our single cell transcriptomics approaches enabled us to construct a reprogramming trajectory and uncover the intermediate cell populations, regulatory pathways and genes putatively involved in iCM induction. Overall design: To control for single cell experiments and to analyze Ptbp1 depletion induced splicing pattern changes, we performed bulk RNAseq of freshly isolated neonatal cardiac fibroblast, cardiomyocytes and cells undergoing reprogramming with or without Ptbp1 silencing.