000			03264nam a22005175i 4500
001			978-3-319-00744-1
003			DE-He213
005			20140220082507.0
007			cr nn 008mamaa
008			131008s2014 gw | s |||| 0|eng d
020			_a9783319007441 _9978-3-319-00744-1
024	7		_a10.1007/978-3-319-00744-1 _2doi
050		4	_aQH505
072		7	_aPHVN _2bicssc
072		7	_aPSF _2bicssc
072		7	_aSCI009000 _2bisacsh
082	0	4	_a571.4 _223
100	1		_aRadmaneshfar, Elahe. _eauthor.
245	1	0	_aMathematical Modelling of the Cell Cycle Stress Response _h[electronic resource] / _cby Elahe Radmaneshfar.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXV, 109 p. 36 illus., 29 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
505	0		_aA biological overview of the cell cycle and its response to osmotic stress and the α-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.
520			_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.
650		0	_aPhysics.
650		0	_aBioinformatics.
650		0	_aCell cycle.
650		0	_aPhysiology _xMathematics.
650	1	4	_aPhysics.
650	2	4	_aPhysics of the Cell.
650	2	4	_aCell Cycle Analysis.
650	2	4	_aPhysiological, Cellular and Medical Topics.
650	2	4	_aComputational Biology/Bioinformatics.
650	2	4	_aComplex Networks.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319007434
830		0	_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-00744-1
912			_aZDB-2-PHA
999			_c92520 _d92520