The Cell-Cycle State of Stem Cells Determines Cell Fate Propensity

By S. Pauklin, L. Vallier. Cell, 2014

616 citations recorded by the source corpus.

Siim Pauklin1,* and Ludovic Vallier1,2,* 1Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Anne McLaren Laboratory for Regenerative Medicine and Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, UK 2Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK *Correspondence: sp579@cam.ac.uk (S.P.), lv225@cam.ac.uk (L.V.) http://dx.doi.org/10.1016/j.cell.2013.08.031

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Citations in the corpus

Computational assignment of cell-cycle stage from single-cell transcriptome data. (2015, unknown): “Moreover, the cell cycle is known to be linked to fundamental biological processes, including cell differentiation [7] and oncogenesis [8, 9].”
Enhanced homology-directed human genome engineering by controlled timing of CRISPR/Cas9 delivery (2014, methodology): “The second condition was modified from Pauklin and Vallier, 2013.”
Fundamental limits on dynamic inference from single-cell snapshots (2017, background): “39 and 40), single-cell snapshot data could therefore be misleading, and methods that infer dynamics from continua of cell states, such as PBA, may be ill suited.”
Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells (2015, methodology): “Enrichment analysis using gene sets from lineage-restricted progenitors (Pronk et al. 2007; Sanjuan-Pla et al. 2013) revealed a lymphoid bias for gene set 1 and premegakaryocyte/erythroid and megakaryocyte P C 2 PC1 A yLT yST oLT oST −50 0 50 oLT yLT yST oST differentiationaging LT−HSC ST−HSC…”