Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network

by: Sui Huang, Gabriel Eichler, Yaneer B Yam, Donald E Ingber

Physical Review Letters, Vol. 94, No. 12. (2005)

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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.

@article{citeulike:988149, 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.}, author = {Huang, Sui and Eichler, Gabriel and Yam, Yaneer B. and Ingber, Donald E. }, citeulike-article-id = {988149}, doi = {10.1103/PhysRevLett.94.128701}, journal = {Physical Review Letters}, keywords = {aland-07, biology}, number = {12}, posted-at = {2007-07-06 08:56:17}, priority = {2}, publisher = {APS}, title = {Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network}, url = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal\&id=PRLTAO000094000012128701000001\&idtype=cvips\&gifs=yes}, volume = {94}, year = {2005} }

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TY - JOUR ID - citeulike:988149 L3 - citeulike-article-id:988149 TI - Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network JF - Physical Review Letters VL - 94 IS - 12 PB - APS N2 - 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. KW - aland-07 KW - biology AU - Huang, Sui AU - Eichler, Gabriel AU - Yam, Yaneer AU - Ingber, Donald PY - 2005/// UR - http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PRLTAO000094000012128701000001&idtype=cvips&gifs=yes ER -

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