Zobrazeno 1 - 10
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pro vyhledávání: '"Grima, Ramon"'
We report the existence of deterministic patterns in plots showing the relationship between the mean and the Fano factor (ratio of variance and mean) of stochastic count data. These patterns are found in a wide variety of datasets, including those fr
Externí odkaz:
http://arxiv.org/abs/2405.17530
We introduce a biologically detailed, stochastic model of gene expression describing the multiple rate-limiting steps of transcription, nuclear pre-mRNA processing, nuclear mRNA export, cytoplasmic mRNA degradation and translation of mRNA into protei
Externí odkaz:
http://arxiv.org/abs/2401.12661
Autor:
Szavits-Nossan, Juraj, Grima, Ramon
Stochastic models of gene expression are typically formulated using the chemical master equation, which can be solved exactly or approximately using a repertoire of analytical methods. Here, we provide a tutorial review of an alternative approach bas
Externí odkaz:
http://arxiv.org/abs/2307.03253
Autor:
Szavits-Nossan, Juraj, Grima, Ramon
The telegraph model is the standard model of stochastic gene expression, which can be solved exactly to obtain the distribution of mature RNA numbers per cell. A modification of this model also leads to an analytical distribution of the nascent RNA n
Externí odkaz:
http://arxiv.org/abs/2304.05304
Biochemical reactions inside living cells often occur in the presence of crowders -- molecules that do not participate in the reactions but influence the reaction rates through excluded volume effects. However the standard approach to modelling stoch
Externí odkaz:
http://arxiv.org/abs/2205.06268
Publikováno v:
Garc\'ia-Tejera R, SchumacherL, Grima R. 2022 Regulation of stem cell dynamics through volume exclusion. Proc.R.Soc.A478: 20220376
Maintenance and regeneration of adult tissues rely on the self-renewal of stem cells. Regeneration without over-proliferation requires precise regulation of the stem cell proliferation and differentiation rates. The nature of such regulatory mechanis
Externí odkaz:
http://arxiv.org/abs/2204.09004
Publikováno v:
In Mathematical Biosciences September 2024 375
Autor:
Szavits-Nossan, Juraj, Grima, Ramon
Publikováno v:
In Biophysical Journal 7 May 2024 123(9):1034-1057
Autor:
Sukys, Augustinas, Grima, Ramon
MomentClosure.jl is a Julia package providing automated derivation of the time-evolution equations of the moments of molecule numbers for virtually any chemical reaction network using a wide range of moment closure approximations. It extends the capa
Externí odkaz:
http://arxiv.org/abs/2105.05475
Autor:
Grima, Ramon, Esmenjaud, Pierre-Marie
Publikováno v:
In Biophysical Journal 2 January 2024 123(1):4-30