Transcriptomics

Dataset Information

0

Transcriptional landscape of direct reprogramming toward hematopoietic stem cells


ABSTRACT: Direct reprogramming of human fibroblasts into hematopoietic stem cells (HSCs) offers a promising strategy for generating autologous cells to treat blood and immune disorders. However, low conversion efficiency and incomplete characterization of reprogrammed states limit current protocols. To address this, we assembled a single-cell transcriptomic reference atlas spanning hematopoietic, endothelial, and fibroblast cell types, and evaluated a novel algorithmically predicted transcription factor (TF) recipe—GATA2, GFI1B, FOS, REL, and STAT5A—for induction of HSC-like states. The 5TF recipe increased conversion efficiency of fibroblasts to CD34+ cells by approximately three-fold compared to previous protocols. Long-read single-cell RNA sequencing revealed heterogeneous expression of hematopoietic- and endothelial-associated genes, consistent with partial reprogramming. To benchmark re- programmed cells, we developed an approach to map their transcriptomic positions relative to native and initial cell states within the reference atlas. Finally, we cataloged isoform diversity in reprogrammed cells, suggesting a role for alternative splicing in reprogramming dynamics. These findings highlight both the promise and complexity of direct HSC reprogramming and provide a framework for optimizing future protocols.

ORGANISM(S): Homo sapiens

PROVIDER: GSE283658 | GEO | 2024/12/09

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2012-11-01 | E-GEOD-37000 | biostudies-arrayexpress
2016-11-01 | GSE73839 | GEO
2012-11-01 | GSE37000 | GEO
2017-01-11 | PXD003931 | Pride
2018-12-04 | GSE51025 | GEO
2023-04-11 | GSE218359 | GEO
2014-02-19 | E-GEOD-52741 | biostudies-arrayexpress
2015-04-07 | E-GEOD-54462 | biostudies-arrayexpress
2021-03-05 | PXD022196 | Pride
2015-02-20 | E-GEOD-55109 | biostudies-arrayexpress