Systems biology of stem cell fate and cellular reprogramming
By Ben D. MacArthur, Avi Ma’ayan, Ihor R. Lemischka. Nature reviews. Molecular cell biology, 2009
391 citations recorded by the source corpus.
Stem cell differentiation and the maintenance of self-renewal are intrinsically complex processes requiring the coordinated dynamic expression of hundreds of genes and proteins in precise response to external signalling cues. Numerous recent reports have used both experimental and computational techniques to dissect this complexity. These reports suggest that the control of cell fate has both deterministic and stochastic elements: complex underlying regulatory networks define stable molecular 'attractor' states towards which individual cells are drawn over time, whereas stochastic fluctuations in gene and protein expression levels drive transitions between coexisting attractors, ensuring robustness at the population level.
Subfields: Biomedical Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ba2cb4a9b1cec0a111cc16ad3d99bd0c4f5d1e68
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Citations in the corpus
- Control of Embryonic Stem Cell State (2011, background): “…pluripotent ground state of ESCs (Silva and Smith, 2008), ESC transcriptional regulatory circuitry (Chen et al., 2008a; Jaenisch and Young, 2008; Macarthur et al., 2009; Orkin et al., 2008), the influence of extrinsic factors on pluripotency (Pera and Tam, 2010), and cellular reprogramming into…”
- Metabolic regulation of hematopoietic stem cells in the hypoxic niche. (2011, background): “Transcriptome, epigenome, and proteome studies have also provided important insights into stem cell biology (Macarthur et al., 2009).”
- Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, background): “In systems biology, the potential function is called the Waddington landscape [181], which essentially determines the biological paths for cell development and differentiation [182, 183] - the landscape metaphor.”