The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network
Abstract
Cells in multicellular organisms switch between distinct cell fates, such as proliferation or differentiation into specialized cell types. Genome-wide gene regulatory networks govern this behavior. Theoretical studies of complex networks suggest that they can exhibit ordered (stable) dynamics, raising the possibility that cell fates may represent high-dimensional attractor states. We used gene expression profiling to show that trajectories of neutrophil differentiation converge to a common state from different directions of a 2773-dimensional gene expression state space, providing the first experimental evidence for a high-dimensional stable attractor that represents a distinct cellular phenotype.
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In the citing paper
“Theoretically, this model can be represented by “attractor states” within a genome-wide gene regulatory network (47).”
From Single-cell transcriptional diversity is a hallmark of developmental potential (2020) · cites this paper as [47]
In the citing paper
“In this context, differentiating cells descend toward stable regions of the network (attractor states), characterized by restricted gene expression, whereas metastable cells broadly sample the network, maintaining higher differentiation potential (47).”
From Single-cell transcriptional diversity is a hallmark of developmental potential (2020) · cites this paper as [47]
Citations
Cites
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Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200327197 · Cited by 3,051
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Maslov, S., & Sneppen, K. (2002) · Science · doi:10.1126/science.1065103 · Cited by 3,051
Will a Large Complex System be Stable?
MAY, R. M. (1972) · Nature · doi:10.1038/238413a0 · Cited by 2,869
Induction of differentiation of the human promyelocytic leukemia cell line (HL-60) by retinoic acid
Breitman, T. R., Selonick, S. E., & Collins, S. J. (1980) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.77.5.2936 · Cited by 1,966
A Protein Interaction Map of Drosophila melanogaster
Giot, L., Bader, J. S., Brouwer, C., Chaudhuri, A., Kuang, B., Li, Y., Hao, Y. L., Ooi, C. E., Godwin, B., Vitols, E., et al. (2003) · Science · doi:10.1126/science.1090289 · Cited by 1,863
Research works printed but not linked: 2
- S. Huang, 2002, Gene Regulation and Metabolism: Post-Genomic Computational Approach
- M. Delbrück, 1949, Unités Biologiques Douées de Continuité Génétique Colloques Internationaux du Centre National de la Recherche Scientifique
Cited by
Sorted by citations
Single-cell transcriptional diversity is a hallmark of developmental potential
Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571
Transcriptome-wide noise controls lineage choice in mammalian progenitor cells
Chang, H. H., Hemberg, M., Barahona, M., Ingber, D. E., & Huang, S. (2008) · Nature · doi:10.1038/nature06965 · Cited by 1,067
Self-citationPisarchik, A. N., & Feudel, U. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.02.007 · Cited by 795
Bifurcation dynamics in lineage-commitment in bipotent progenitor cells
Huang, S., Guo, Y.-P., May, G., & Enver, T. (2007) · Developmental Biology · doi:10.1016/j.ydbio.2007.02.036 · Cited by 560
Self-citationHuang, S., Ernberg, I. T., & Kauffman, S. A. (2009) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2009.07.003 · Cited by 572
Self-citation
Metadata
- Authors
- Huang, S., Eichler, G., Bar-Yam, Y., & Ingber, D. E.
- Affiliations
- Boston Children's Hospital (US)
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2005-04-01
- Volume
- 94
- Issue
- 12
- Pages
- 128701-128701
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2141545875
- Cited by
- 775
- References
- 33
- Citations by year
- 2026: 42 · 2025: 33 · 2024: 30 · 2023: 31 · 2022: 49 · 2021: 42 · 2020: 56 · 2019: 30 · 2018: 54 · 2017: 39 · 2016: 34 · 2015: 32 · 2014: 34 · 2013: 42 · 2012: 26
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- cell fate, gene regulatory networks, granulocytic differentiation, cell phenotype, gene expression profiling, network theory
- MeSH terms
- Cell Differentiation, Dimethyl Sulfoxide, Gene Expression Regulation, Humans, Neutrophils, RNA, Messenger, Tretinoin, HL-60 Cells, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
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