bioRxivCell BiologyPreprint
A ligand/receptor trafficking clock governs self-renewal and abscission dynamics in pluripotent stem cells
Debora LibettiiD, Noémie CombémoreliD, Emma FraimbaultiD, Marie Lantelme, Xavier GaumeiD, Emile ZakieviD, Yann TapponnieriD, Aurélia HuygheiD, Giacomo FurlaniD, Marion Coudurier, Léo Claret, Cloé RognardiD, Serife Akguel, Serife Akguel, Hector Hernandez-vargas, Nicolas GadotiD, Fabien ForestiD, M. Koch, Irène AksoyiD, Nicolas Allègre, Claire ChazaudiD, Miguel Ramalho‐SantosiD, Pierre SavatieriD, Élodie Bachelard-Cascales, Fabrice LavialiD
Abstract
Summary/AbstractHow extracellular cues are temporally integrated to regulate self-renewal and differentiation propensities across the cell cycle remains largely unresolved. We identify a ligand/receptor trafficking clock in rodent and human pluripotent stem cells (PSCs) in which the cyclic turnover of Netrin-1 and its receptors Neo1 and Unc5b (NNU) governs self-renewal capacity and abscission dynamics. In G1, NNU complexes undergo Clathrin-mediated internalization and lysosomal degradation, a process required for timely post-mitotic bridge abscission. At later stages of the cycle, NNU activate Src within early endosomes, inducing a genome-wide redistribution of the transcriptional co-activator Yap1. This reshapes gene regulatory networks by activating stemness- and ectoderm-associated transcriptional programs enriched for Sox2/Nanog binding and by repressing mesodermal- and cell cycle-related targets enriched for Sox2 and Tcf3. Functionally, recombinant Netrin-1 reduces functional heterogeneity and enhances clonogenicity in G1, uncovering a tractable strategy to canalize stem cell behavior. Collectively, our results reveal cell cycle-dependent ligand/receptor trafficking as a temporal clock that directly links membrane dynamics to epigenetic regulation and stem cell fate, opening new avenues for regenerative medicine.
- organism: mouse
- organism: human
- assay: scRNA-seq
- assay: proteomics
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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