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Gene Regulatory Networks (GRNs) consisting of combinations of transcription factors (TFs) and their cis promoters are assumed to be sufficient to direct the development of organisms. Mutations in GRNs are assumed to be the primary drivers…

Molecular Networks · Quantitative Biology 2015-08-17 Eric Werner

Connectivity networks have recently become widely used in biology due to increasing amounts of information on the physical and functional links between individual proteins. This connectivity data provides valuable material for expanding our…

Genomics · Quantitative Biology 2013-02-15 O. V. Valba , S. K. Nechaev , O. Vasieva

The effect of signal integration through cis-regulatory modules (CRMs) on synchronization and clustering of populations of two-component genetic oscillators coupled by quorum sensing is in detail investigated. We find that the CRMs play an…

Molecular Networks · Quantitative Biology 2009-04-06 Jiajun Zhang , Zhanjiang Yuan , Tianshou Zhou

Recently, there has been a lot of effort in understanding sRNA mediated regulation of gene expression and how this mode of regulation differs from transcriptional regulation.In E.coli, in the presence of oxidative stress, the synthesis of…

Molecular Networks · Quantitative Biology 2016-09-30 Sutapa Mukherji

We describe an approach to model genetic regulatory networks at the level of promotion-inhibition circuitry through a class of stochastic spin models that includes spatial and temporal density fluctuations in a natural way. The formalism…

Statistical Mechanics · Physics 2018-03-08 J. Ricardo G. Mendonça , Mário J. de Oliveira

MOTIVATION: A central goal of postgenomic biology is the elucidation of the regulatory relationships among all cellular constituents that together comprise the 'genetic network' of a cell or microorganism. Experimental manipulation of gene…

Statistical Mechanics · Physics 2009-11-07 I. J. Farkas , H. Jeong , T. Vicsek , A. -L. Barabasi , Z. N. Oltvai

Despite the greater functional importance of protein levels, our knowledge of gene expression evolution is based almost entirely on studies of mRNA levels. In contrast, our understanding of how translational regulation evolves has lagged…

Genomics · Quantitative Biology 2013-12-02 Carlo G. Artieri , Hunter B. Fraser

Transcriptional noise, or heterogeneity, is important in cellular development and in disease. The molecular mechanisms driving it are, however, elusive and ill-understood. Here, we use computer simulations to explore the role of 3D…

Biological Physics · Physics 2025-10-13 Michael Chiang , Cleis Battaglia , Giada Forte , Chris A. Brackley , Nick Gilbert , Davide Marenduzzo

Quantitative understanding of the principles regulating nucleosome occupancy on a genome-wide level is a central issue in eukaryotic genomics. Here, we address this question using budding yeast, Saccharomyces cerevisiae, as a model…

Biomolecules · Quantitative Biology 2011-11-22 Ariel Afek , Itamar Sela , Noa Musa-Lempel , David B. Lukatsky

We consider a simplified model for gene regulation, where gene expression is regulated by transcription factors (TFs), which are single proteins or protein complexes. Proteins are in turn synthesised from expressed genes, creating a…

Molecular Networks · Quantitative Biology 2020-07-15 Giuseppe Torrisi , Reimer Kühn , Alessia Annibale

Our understanding of how chromosomes structurally organize and dynamically interact has been revolutionized through the lens of long-chain polymer physics. Major protein contributors to chromosome structure and dynamics are condensin and…

Biophysicists are modeling conformations of interphase chromosomes, often basing the strengths of interactions between segments distant on the genetic map on contact frequencies determined experimentally. Here, instead, we develop a…

Biomolecules · Quantitative Biology 2015-11-06 C. A. Brackley , J. Johnson , S. Kelly , P. R. Cook , D. Marenduzzo

The most common gene regulation mechanism is when a transcription factor protein binds to a regulatory sequence to increase or decrease RNA transcription. However, transcription factors face two main challenges when searching for these…

Quantitative Methods · Quantitative Biology 2023-11-21 Lucas Hedström , Ludvig Lizana

The principles underlying the architectural landscape of chromatin beyond the nucleosome level in living cells remains largely unknown despite its potential to play a role in mammalian gene regulation. We investigated the 3-dimensional…

Genomics · Quantitative Biology 2012-06-27 Ivan Junier , Ryan Dale , Chunhui Hou , François Képès , Ann Dean

The formation of DNA loops by proteins and protein complexes that bind at distal DNA sites plays a central role in many cellular processes, such as transcription, recombination, and replication. Here we review the basic thermodynamic…

Molecular Networks · Quantitative Biology 2007-05-23 Jose M. G. Vilar , Leonor Saiz

The day we understand the time evolution of subcellular elements at a level of detail comparable to physical systems governed by Newton's laws of motion seems far away. Even so, quantitative approaches to cellular dynamics add to our…

Transcriptional regulatory network inference methods have been studied for years. Most of them relie on complex mathematical and algorithmic concepts, making them hard to adapt, re-implement or integrate with other methods. To address this…

Genomics · Quantitative Biology 2012-08-03 Jianlong Qi , Tom Michoel

Even under constant external conditions, the expression levels of genes fluctuate. Much emphasis has been placed on the components of this noise that are due to randomness in transcription and translation; here we analyze the role of noise…

Molecular Networks · Quantitative Biology 2013-08-01 Gasper Tkacik , Thomas Gregor , William Bialek

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

This paper presents an intracellular feedback control strategy, to regulate the gene expression process dynamics. For this purpose, two types of genetic circuits are designed in order to compare concentrations of the input transcription…

Systems and Control · Computer Science 2016-06-15 Jafar Kazemi , Sadjad Ozgoli