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Related papers: The co-existence of states in p53 dynamics driven …

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Recent studies suggest that PML (Promyelocytic Leukemia) suppresses p53 protein degradation by inhibiting MDM2 protein in the nucleus [1], and regulates a number of biological functions [2]. We modeled a PML-MDM2-p53 regulatory network by…

Molecular Networks · Quantitative Biology 2015-04-21 Md. Jahoor Alam , Eyad M. AlShammari , R. K. Brojen Singh

We study the regulating mechanism of p53 on the properties of cell cycle dynamics in the light of the proposed model of interacting p53 and cell cycle networks via p53. Irradiation (IR) introduce to p53 compel p53 dynamics to suffer…

Molecular Networks · Quantitative Biology 2014-10-14 Md. Jahoor Alam , Sanjay Kumar , Vikram Singh , R. K. Brojen Singh

We study the temporal and the synchronous behaviours in p53-Mdm2 regulatory network due to the interaction of its complex network components with the nitric oxide molecule. In single cell process, increase in nitric oxide concentration…

Molecular Networks · Quantitative Biology 2014-09-09 Gurumayum Reenaroy Devi , Md. Jahoor Alam , Ram Ramaswamy , R. K. Brojen Singh

SMAR1 is a sensitive signaling molecule in p53 regulatory network which can drive p53 network dynamics to three distinct states, namely, stabilized (two), damped and sustain oscillation states. In the interaction of p53 network with SMAR1,…

Molecular Networks · Quantitative Biology 2015-10-12 Md. Zubbair Malik , Md. Jahoor Alam , Romana Ishrat , Subhash M. Agarwal , R. K. Brojen Singh

We present p53-MDM2-Glucose model to study spatio-temporal properties of the system induced by glucose. The variation in glucose concentration level triggers the system at different states, namely, oscillation death (stabilized), sustain…

Subcellular Processes · Quantitative Biology 2015-04-03 Md. Jahoor Alam , R. K. Brojen Singh

We present the mechanism of interaction of Wnt network module, which is responsible for periodic sometogenesis, with p53 regulatory network, which is one of the main regulators of various cellular functions, and switching of various…

Subcellular Processes · Quantitative Biology 2015-03-17 Md. Zubbair Malik , Shahnawaz Ali , Md. Jahoor Alam , Romana Ishrat , R. K. Brojen Singh

Dynamics of p53 is known to play important roles in the regulation of cell fate decisions in response to various stresses, and PDCD5 functions as a co-activator of p53 to modulate the p53 dynamics. In the present paper, we investigate how…

Molecular Networks · Quantitative Biology 2015-03-31 Yuanhong Bi , Zhuoqin Yang , Changjing Zhuge , Jinzhi Lei

We study how the temporal behaviours of p53 and MDM2 are affected by stress inducing bioactive molecules NO (Nitric Oxide) in the p53-MDM2-NO regulatory network. We also study synchronization among a group of identical stress systems…

Molecular Networks · Quantitative Biology 2014-09-03 Gurumayum Reenaroy Devi , Md. Jahoor Alam , R. K. Brojen Singh

MicroRNAs (miRNAs) critically modulate stem cell properties like pluripotency, but the fundamental mechanism remains largely unknown. This study systematically analyzes multiple-omics data and builds a systems physical network including…

Molecular Networks · Quantitative Biology 2014-08-14 Anyou Wang

Systemic properties of living cells are the result of molecular dynamics governed by so-called genetic regulatory networks (GRN). These networks capture all possible features of cells and are responsible for the immense levels of adaptation…

Molecular Networks · Quantitative Biology 2015-06-04 Rudolf Hanel , Manfred Pöchacker , Manuel Schölling , Stefan Thurner

We study two important roles of miRNA as stress inducer and synchronizing agent in regulating diffusively coupled genetic oscillators within stochastic formalism and competition between them. We identify optimal value of coupling constant…

Molecular Networks · Quantitative Biology 2014-09-09 Saurabh Kumar Sharma , Shakti Nath Singh , Md. Jahoor Alam , R. K. Brojen Singh

We investigate the dynamical behavior of simple modules composed of two genes with two or three regulating connections. Continuous dynamics for mRNA and protein concentrations is compared to a Boolean model for gene activity. Using a…

Molecular Networks · Quantitative Biology 2013-05-29 Eva Gehrmann , Barbara Drossel

Specific activator and repressor transcription factors which bind to specific regulator DNA sequences, play an important role in gene activity control. Interactions between genes coding such transcription factors should explain the…

Dynamical Systems · Mathematics 2015-06-26 Gh. I. Mihalas , M. Neamtu , D. Opris , F. Horhat

Recently, microRNAs (miRNAs) have emerged as central posttranscriptional regulators of gene expression. miRNAs regulate many key biological processes, including cell growth, death, development and differentiation. This discovery is…

Molecular Networks · Quantitative Biology 2007-12-24 Edwin Wang

The p53 protein is well-known for its tumour suppressor function. The p53-MDM2 negative feedback loop constitutes the core module of a network of regulatory interactions activated under cellular stress. In normal cells, the level of p53…

Molecular Networks · Quantitative Biology 2007-08-24 Indrani Bose , Bhaswar Ghosh

A four-node network consisting of a negative loop controlling a positive one is studied. It models some of the features of the p53 gene network. Using piecewise linear dynamics with thresholds, the allowed dynamical classes are fully…

Molecular Networks · Quantitative Biology 2007-05-23 Carlos Aguirre , Joao Martins , R. Vilela Mendes

Gene expression is a noisy process and several mechanisms, both transcriptional and posttranscriptional, can stabilize protein levels in cells. Much work has focused on the role of miRNAs, showing in particular that miRNA-mediated…

Molecular Networks · Quantitative Biology 2017-03-09 Araks Martirosyan , Andrea De Martino , Andrea Pagnani , Enzo Marinari

RNA-binding proteins form biomolecular condensates with RNA through phase separation, playing crucial roles in various cellular processes. While intrinsically disordered regions (IDRs) are key drivers of phase separation, additional factors…

Soft Condensed Matter · Physics 2026-05-07 Yui Matsushita , Ikki Yasuda , Fuga Watanabe , Eiji Yamamoto

The transcription factor p53 is an important regulator of cell fate. Mutations in p53 gene are associated with many cancers. In response to signals such as DNA damage, p53 controls the transcription of a series of genes that cause cell…

Molecular Networks · Quantitative Biology 2007-05-23 Vijay Chickarmane , Ali Nadim , Animesh Ray , Herbert M. Sauro

miRNAs serve as crucial post-transcriptional regulators in various essential cell fate decision. However, the contribution of the mRNA-miRNA mutual regulation to bistability is not fully understood. Here, we built a set of mathematical…

Molecular Networks · Quantitative Biology 2016-09-05 Xiao-Jun Tian , Hang Zhang , Jingyu Zhang , Jianhua Xing
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