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010   $a3-319-00744-0
024 7 $a10.1007/978-3-319-00744-1
035   $a(CKB)3710000000025633
035   $a(EBL)1538882
035   $a(SSID)ssj0001049527
035   $a(PQKBManifestationID)11592866
035   $a(PQKBTitleCode)TC0001049527
035   $a(PQKBWorkID)11019465
035   $a(PQKB)10749410
035   $a(MiAaPQ)EBC1538882
035   $a(DE-He213)978-3-319-00744-1
035   $a(PPN)176103325
035   $a(EXLCZ)993710000000025633
100   $a20131008d2014      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMathematical Modelling of the Cell Cycle Stress Response$b[electronic resource] /$fby Elahe Radmaneshfar
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (122 p.)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
300   $aDescription based upon print version of record.
311   $a3-319-00743-2 
320   $aIncludes bibliographical references.
327   $aA biological overview of the cell cycle and its response to osmotic stress and the ?-factor -- ODE model of the cell cycle response to osmotic stress -- Boolean model of the cell cycle response to stress -- Conclusion -- List of equations, parameters and initial conditions -- Effect of methods of update on existence of fixed points.
330   $aThe cell cycle is a sequence of biochemical events that are controlled by complex but robust molecular machinery. This enables cells to achieve accurate self-reproduction under a broad range of conditions. Environmental changes are transmitted by molecular signaling networks, which coordinate their actions with the cell cycle.   This work presents the first description of two complementary computational models describing the influence of osmotic stress on the entire cell cycle of S. cerevisiae. Our models condense a vast amount of experimental evidence on the interaction of the cell cycle network components with the osmotic stress pathway. Importantly, it is only by considering the entire cell cycle that we are able to make a series of novel predictions which emerge from the coupling between the molecular components of different cell cycle phases.   The model-based predictions are supported by experiments in S. cerevisiae and, moreover, have recently been observed in other eukaryotes. Furthermore our models reveal the mechanisms that emerge as a result of the interaction between the cell cycle and stress response networks.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aBiophysics
606   $aBiological physics
606   $aCell cycle
606   $aBiomathematics
606   $aBioinformatics
606   $aPhysics
606   $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008
606   $aCell Cycle Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/L16030
606   $aPhysiological, Cellular and Medical Topics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31020
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010
615  0$aBiophysics.
615  0$aBiological physics.
615  0$aCell cycle.
615  0$aBiomathematics.
615  0$aBioinformatics.
615  0$aPhysics.
615 14$aBiological and Medical Physics, Biophysics.
615 24$aCell Cycle Analysis.
615 24$aPhysiological, Cellular and Medical Topics.
615 24$aComputational Biology/Bioinformatics.
615 24$aApplications of Graph Theory and Complex Networks.
676   $a570.285
700   $aRadmaneshfar$b Elahe$4aut$4http://id.loc.gov/vocabulary/relators/aut$0791337
906   $aBOOK
912   $a9910300369103321
996   $aMathematical Modelling of the Cell Cycle Stress Response$91768715
997   $aUNINA