The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Systems biology of stem cell fate and cellular reprogramming
Open accessAbstract
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.
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Metabolic Regulation of Hematopoietic Stem Cells in the Hypoxic Niche
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Implementation of Dynamic Bayesian Decision Making by Intracellular Kinetics
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Single‐cell pluripotency regulatory networks
Stumpf, P. S., Ewing, R., & MacArthur, B. D. (2016) · PROTEOMICS · doi:10.1002/pmic.201500528 · Cited by 4
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Metadata
- Authors
- MacArthur, B. D., Ma'ayan, A., & Lemischka, I. R.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2009-09-09
- Volume
- 10
- Issue
- 10
- Pages
- 672-681
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W1971445167
- Cited by
- 371
- References
- 18
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
