eLifeDevelopmental BiologyPeer-reviewed journal article
Single cell expression analysis uncouples transdifferentiation and reprogramming
Mirko FrancesconiiD, Bruno Di StefanoiD, Clara BerengueriD, Luísa de Andrés-AguayoiD, Marcos Plana-CarmonaiD, María Méndez-Lago, Amy Guillaumet-AdkinsiD, Gustavo Rodríguez-EstebaniD, Marta GutiD, Ivo Glynne GutiD, Holger HeyniD, Ben LehneriD, Thomas GrafiD
Abstract
Many somatic cell types are plastic, having the capacity to convert into other specialized cells (transdifferentiation)(1) or into induced pluripotent stem cells (iPSCs, reprogramming)(2) in response to transcription factor over-expression. To explore what makes a cell plastic and whether these different cell conversion processes are coupled, we exposed bone marrow derived pre-B cells to two different transcription factor overexpression protocols that efficiently convert them either into macrophages or iPSCs and monitored the two processes over time using single cell gene expression analysis. We found that even in these highly efficient cell fate conversion systems, cells differ in both their speed and path of transdifferentiation and reprogramming. This heterogeneity originatesin two starting pre-B cell subpopulations,large pre-BII and the small pre-BII cells they normally differentiate into. The large cells transdifferentiate slowly but exhibit a high efficiency of iPSC reprogramming. In contrast, the small cells transdifferentiate rapidly but are highly resistant to reprogramming. Moreover, the large B cells induce a stronger transient granulocyte/macrophage progenitor (GMP)-like state, while the small B cells undergo a more direct conversion to the macrophage fate. The large cells are cycling and exhibit high Myc activity whereas the small cells are Myc low and mostly quiescent. The observed heterogeneity of the two cell conversion processes can therefore be traced to two closely related cell types in the starting population that exhibit different types of plasticity. These data show that a somatic cells propensity for either transdifferentiation and reprogramming can be uncoupled.\n\nOne sentence summarySingle cell transcriptomics of cell conversions
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: trajectory inference
- approach: statistical model
- Citations
- 54
- FWCI
- 2.40
- Field percentile
- top 10%
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