Data-guided direct reprogramming of human fibroblasts into the hematopoietic lineage
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ABSTRACT: Direct reprogramming of human fibroblasts into hematopoietic stem cells (HSCs) shows promise for generating autologous cells for treatment of blood and immune-related diseases. However, low conversion efficiency of existing protocols points to gaps in our understanding and opportunities for identification of optimal transcription factor (TF) combinations, which is a major bottleneck for HSC generation. In this study, we tested a novel algorithmically-predicted TF recipe (GATA2, GFIB1, FOS, REL, and STAT5A) for inducing HSC-like states. Our recipe induced CD34+ surface expression and single-cell transcriptomic signatures similar to those of native HSCs. Transcriptional heterogeneity within reprogrammed cells included differences in expression of HSC and endothelial-associated genes and in alternatively spliced transcripts as measured by single-cell long-read RNA-sequencing. Further, we proposed an approach to quantify the relative position of reprogrammed cells within the spectrum of initial and target cell states. This study lays the foundation for efficient optimization of direct reprogramming protocols.
ORGANISM(S): Homo sapiens
PROVIDER: GSE283658 | GEO | 2024/12/09
REPOSITORIES: GEO
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