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

@article{Huang_Ingber_CellFateAttractor_2005, 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}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PRLTAO000094000012128701000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aps.org/abstract/PRL/v94/e128701}, citeulike-linkout-2 = {http://dx.doi.org/10.1103/PhysRevLett.94.128701}, citeulike-linkout-3 = {http://link.aps.org/abstract/PRL/v94/i12/e128701}, citeulike-linkout-4 = {http://link.aps.org/pdf/PRL/v94/i12/e128701}, doi = {10.1103/PhysRevLett.94.128701}, journal = {Physical Review Letters}, keywords = {gene\_regulation\_network, journal}, number = {12}, posted-at = {2009-05-26 16:08:47}, priority = {5}, publisher = {APS}, title = {Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network}, url = {http://dx.doi.org/10.1103/PhysRevLett.94.128701}, volume = {94}, year = {2005} }

TY - JOUR ID - Huang_Ingber_CellFateAttractor_2005 L3 - citeulike-article-id:988149 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. IS - 12 JF - Physical Review Letters TI - Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network PB - APS VL - 94 KW - gene_regulation_network KW - journal AU - Huang, Sui AU - Eichler, Gabriel AU - Yam, Yaneer AU - Ingber, Donald PY - 2005/// UR - http://dx.doi.org/10.1103/PhysRevLett.94.128701 ER -