The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Reprogramming cell fates: reconciling rarity with robustness
Open accessAbstract
The stunning possibility of “reprogramming” differentiated somatic cells to express a pluripotent stem cell phenotype (iPS, induced pluripotent stem cell) and the “ground state” character of pluripotency reveal fundamental features of cell fate regulation that lie beyond existing paradigms. The rarity of reprogramming events appears to contradict the robustness with which the unfathomably complex phenotype of stem cells can reliably be generated. This apparent paradox, however, is naturally explained by the rugged “epigenetic landscape” with valleys representing “preprogrammed” attractor states that emerge from the dynamical constraints of the gene regulatory network. This article provides a pedagogical primer to the fundamental principles of gene regulatory networks as integrated dynamic systems and reviews recent insights in gene expression noise and fate determination, thereby offering a formal framework that may help us to understand why cell fate reprogramming events are inherently rare and yet so robust.
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Cites
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Orkin, S. H., & Zon, L. I. (2008) · Cell · doi:10.1016/j.cell.2008.01.025 · Cited by 2,570
Defining molecular cornerstones during fibroblast to iPS cell reprogramming in mouse
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Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network
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Self-citationMali, P., Ye, Z., Hommond, H. H., Yu, X., Lin, J., Chen, G., Zou, J., & Cheng, L. (2008) · Stem Cells · doi:10.1634/stemcells.2008-0346 · Cited by 291 · cited 1×
“Yet, the actual event of reprogramming at the level of individual cells is in general rare, occurring at a frequency of <1%.((24,25)) Thus, one challenge for a theory will be to explain how a complicated, intuitively unlikely and rare biological event is inherently robust, that is, given appropriate conditions, almost…”
BackgroundSite-specific DNA methylation by a complex of PU.1 and Dnmt3a/b
Suzuki, M., Yamada, T., Kihara-Negishi, F., Sakurai, T., Hara, E., Tenen, D. G., Hozumi, N., & Oikawa, T. (2006) · Oncogene · doi:10.1038/sj.onc.1209272 · Cited by 132
Cited by
Reversed graph embedding resolves complex single-cell trajectories
Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4402 · Cited by 5,070
Direct cell reprogramming is a stochastic process amenable to acceleration
Hanna, J., Saha, K., Pando, B., van Zon, J., Lengner, C. J., Creyghton, M. P., van Oudenaarden, A., & Jaenisch, R. (2009) · Nature · doi:10.1038/nature08592 · Cited by 938
Huang, S. (2011) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0008 · Cited by 94
Self-citationHow do cells adapt? stories told in landscapes
Agozzino, L., Balázsi, G., Wang, J., & Dill, K. A. (2020) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-011720-103410 · Cited by 37
Metadata
- Authors
- Huang, S.
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 2009-04-09
- Volume
- 31
- Issue
- 5
- Pages
- 546-560
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W2081848717
- Cited by
- 320
- References
- 9
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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