Single Cell Transcriptomics Reconstructs Fate Conversion from Fibroblast to Cardiomyocyte

Direct lineage conversion offers a new strategy for tissue regeneration and disease modeling. Despite recent success in directly reprogramming fibroblasts into various cell types, the precise changes that occur as fibroblasts progressively convert to target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process renders it difficult to study using bulk genomic techniques. Here, to overcome this limitation, we applied single-cell RNA-seq to analyze global transcriptome changes at early stages of induced cardiomyocyte (iCM) reprogramming(1–4). Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells along reprogramming. We also constructed routes of iCM formation, and delineated the relationship between cell proliferation and iCM induction. Further analysis of global gene expression changes during reprogramming revealed an unexpected down-regulation of factors involved in mRNA processing and splicing. Detailed functional analysis of the top candidate splicing factor Ptbp1 revealed that it is a critical barrier to the acquisition of CM-specific splicing patterns in fibroblasts. Concomitantly, Ptbp1 depletion promoted cardiac transcriptome acquisition and increased iCM reprogramming efficiency. Additional quantitative analysis of our dataset revealed a strong correlation between the expression of each reprogramming factor and the progress of individual cells through the reprogramming process, and led to the discovery of novel surface markers for enrichment of iCMs. In summary, our single cell transcriptomics approaches enabled us to reconstruct the reprogramming trajectory and to uncover heretofore unrecognized intermediate cell populations, gene pathways and regulators involved in iCM induction.