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相关论文: Quantifying the noise in bursty gene expression un…

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A wealth of new research has highlighted the critical roles of small RNAs (sRNAs) in diverse processes such as quorum sensing and cellular responses to stress. The pathways controlling these processes often have a central motif comprising…

分子网络 · 定量生物学 2015-05-27 Charles Baker , Tao Jia , Rahul V. Kulkarni

Small, non-coding RNAs (sRNAs) play important roles as genetic regulators in prokaryotes. sRNAs act post-transcriptionally via complementary pairing with target mRNAs to regulate protein expression. We use a quantitative approach to compare…

分子网络 · 定量生物学 2008-09-04 Pankaj Mehta , Sidhartha Goyal , Ned S. Wingreen

Inside individual cells, expression of genes is stochastic across organisms ranging from bacterial to human cells. A ubiquitous feature of stochastic expression is burst-like synthesis of gene products, which drives considerable…

分子网络 · 定量生物学 2016-09-13 Pavol Bokes , Abhyudai Singh

The intrinsic stochasticity of gene expression can lead to large variability of protein levels across a population of cells. Variability (or noise) in protein distributions can be modulated by cellular mechanisms of gene regulation; in…

分子网络 · 定量生物学 2011-03-02 Tao Jia , Rahul V. Kulkarni

The processes, resulting in the transcription of RNA, are intrinsically noisy. It was observed experimentally that the synthesis of mRNA molecules is driven by short, burst-like, events. An accurate prediction of the protein level often…

种群与进化 · 定量生物学 2009-10-14 Vlad Elgart

Regulation of intrinsic noise in gene expression is essential for many cellular functions. Correspondingly, there is considerable interest in understanding how different molecular mechanisms of gene expression impact variations in protein…

分子网络 · 定量生物学 2011-03-02 Tao Jia , Rahul V. Kulkarni

The intrinsic stochasticity of gene expression can lead to large variability in protein levels for genetically identical cells. Such variability in protein levels can arise from infrequent synthesis of mRNAs which in turn give rise to…

生物物理 · 物理学 2015-05-27 Vlad Elgart , Tao Jia , Andrew T. Fenley , Rahul V. Kulkarni

MicroRNAs are small noncoding RNAs that regulate genes post-transciptionally by binding and degrading target eukaryotic mRNAs. We use a quantitative model to study gene regulation by inhibitory microRNAs and compare it to gene regulation by…

分子网络 · 定量生物学 2013-09-10 Javad Noorbakhsh , Alex Lang , Pankaj Mehta

Stochasticity in gene expression can give rise to fluctuations in protein levels and lead to phenotypic variation across a population of genetically identical cells. Recent experiments indicate that bursting and feedback mechanisms play…

分子网络 · 定量生物学 2015-06-22 Niraj Kumar , Thierry Platini , Rahul V. Kulkarni

Gene expression and its regulation is a nonequilibrium stochastic process. Different molecules are involved in several biochemical steps in this process with low copies. It is observed that the stochasticity in biochemical processes is…

分子网络 · 定量生物学 2019-05-22 Rajesh Karmakar

A key goal of systems biology is the predictive mathematical description of gene regulatory circuits. Different approaches are used such as deterministic and stochastic models, models that describe cell growth and division explicitly or…

分子网络 · 定量生物学 2012-10-12 Rahul Marathe , Veronika Bierbaum , David Gomez , Stefan Klumpp

The intrinsic stochasticity of gene expression is usually mitigated in higher eukaryotes by post-transcriptional regulation channels that stabilise the output layer, most notably protein levels. The discovery of small non-coding RNAs…

分子网络 · 定量生物学 2016-04-12 Silvia Grigolon , Francesca Di Patti , Andrea De Martino , Enzo Marinari

Gene expression is inherently a noisy process which manifests as cell-to-cell variability in time evolution of proteins. Consequently, events that trigger at critical threshold levels of regulatory proteins exhibit stochasticity in their…

亚细胞过程 · 定量生物学 2016-09-26 Khem Raj Ghusinga , Abhyudai Singh

Regulatory genes called small RNAs (sRNAs) are known to play critical roles in cellular responses to changing environments. For several sRNAs, regulation is effected by coupled stoichiometric degradation with messenger RNAs (mRNAs). The…

生物物理 · 物理学 2015-05-27 Thierry Platini , Tao Jia , Rahul V. Kulkarni

Inside individual cells, expression of genes is inherently stochastic and manifests as cell-to-cell variability or noise in protein copy numbers. Since proteins half-lives can be comparable to the cell-cycle length, randomness in…

分子网络 · 定量生物学 2015-10-06 Mohammad Soltani , Cesar Augusto Vargas-Garcia , Duarte Antunes , Abhyudai Singh

In a stochastic process, noise often modifies the picture offered by the mean field dynamics. In particular, when there is an absorbing state, the noise erases a stable fixed point of the mean field equation from the stationary…

统计力学 · 物理学 2018-12-19 JaeJun Lee , Julian Lee

Noise in gene expression, either due to inherent stochasticity or to varying inter- and intracellular environment, can generate significant cell-to-cell variability of protein levels in clonal populations. We present a theoretical…

其他定量生物学 · 定量生物学 2010-04-08 Julia Rausenberger , Christian Fleck , Jens Timmer , Markus Kollmann

Stochasticity in gene expression can result in fluctuations in gene product levels. Recent experiments indicated that feedback regulation plays an important role in controlling the noise in gene expression. A quantitative understanding of…

分子网络 · 定量生物学 2019-12-11 Zihao Wang , Zhenquan Zhang , Tianshou Zhou

The regulation of cellular function is often controlled at the level of gene transcription. Such genetic regulation usually consists of interacting networks, whereby gene products from a single network can act to control their own…

生物物理 · 物理学 2009-11-06 Jeff Hasty , Joel Pradines , Milos Dolnik , J. J. Collins

In this paper, we study through mathematical modelling the combined effect of transcriptional and translational regulation by proteins and small noncoding RNAs (sRNA) in a genetic feedback motif that has an important role in the survival of…

分子网络 · 定量生物学 2018-02-16 Sutapa Mukherji
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