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Sökning: WFRF:(Wennborg Anders) > Dynamics inside the...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003606naa a2200493 4500
001oai:DiVA.org:kth-185064
003SwePub
008160411s2016 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:133183878
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1850642 URI
024a https://doi.org/10.1073/pnas.15192101132 DOI
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1331838782 URI
040 a (SwePub)kthd (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Li, Qinu Karolinska Institutet4 aut
2451 0a Dynamics inside the cancer cell attractor reveal cell heterogeneity, limits of stability, and escape
264 c 2016-02-29
264 1b National Academy of Sciences,c 2016
338 a print2 rdacarrier
500 a QC 20160415
520 a The observed intercellular heterogeneity within a clonal cell population can be mapped as dynamical states clustered around an attractor point in gene expression space, owing to a balance between homeostatic forces and stochastic fluctuations. These dynamics have led to the cancer cell attractor conceptual model, with implications for both carcinogenesis and new therapeutic concepts. Immortalized and malignant EBV-carrying B-cell lines were used to explore this model and characterize the detailed structure of cell attractors. Any subpopulation selected from a population of cells repopulated the whole original basin of attraction within days to weeks. Cells at the basin edges were unstable and prone to apoptosis. Cells continuously changed states within their own attractor, thus driving the repopulation, as shown by fluorescent dye tracing. Perturbations of key regulatory genes induced a jump to a nearby attractor. Using the Fokker-Planck equation, this cell population behavior could be described as two virtual, opposing influences on the cells: one attracting toward the center and the other promoting diffusion in state space (noise). Transcriptome analysis suggests that these forces result from high-dimensional dynamics of the gene regulatory network. We propose that they can be generalized to all cancer cell populations and represent intrinsic behaviors of tumors, offering a previously unidentified characteristic for studying cancer.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
653 a cancer cell attractor
653 a cell heterogeneity
653 a edge cells
653 a gene regulatory network
653 a cell population dynamics
700a Wennborg, Andersu Karolinska Institutet4 aut
700a Aurell, Eriku KTH,Albanova4 aut0 (Swepub:kth)u1uc9cqo
700a Dekel, Erez4 aut
700a Zou, Jie-Zhi4 aut
700a Xu, Yuting4 aut
700a Huang, Sui4 aut
700a Ernberg, Ingemaru Karolinska Institutet4 aut
710a KTHb Karolinska Institutet4 org
773t Proceedings of the National Academy of Sciences of the United States of Americad : National Academy of Sciencesg 113:10, s. 2672-2677q 113:10<2672-2677x 0027-8424x 1091-6490
856u https://www.pnas.org/content/pnas/113/10/2672.full.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185064
8564 8u https://doi.org/10.1073/pnas.1519210113
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:133183878

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