77 research outputs found
Random Networks Tossing Biased Coins
In statistical mechanical investigations on complex networks, it is useful to
employ random graphs ensembles as null models, to compare with experimental
realizations. Motivated by transcription networks, we present here a simple way
to generate an ensemble of random directed graphs with, asymptotically,
scale-free outdegree and compact indegree. Entries in each row of the adjacency
matrix are set to be zero or one according to the toss of a biased coin, with a
chosen probability distribution for the biases. This defines a quick and simple
algorithm, which yields good results already for graphs of size n ~ 100.
Perhaps more importantly, many of the relevant observables are accessible
analytically, improving upon previous estimates for similar graphs
A Model for the Self-Organization of Microtubules Driven by Molecular Motors
We propose a two-dimensional model for the organization of stabilized
microtubules driven by molecular motors in an unconfined geometry. In this
model two kinds of dynamics are competing. The first one is purely diffusive,
with an interaction between the rotational degrees of freedom, the second one
is a local drive, dependent on microtubule polarity. As a result, there is a
configuration dependent driving field. Applying a molecular field
approximation, we are able to derive continuum equations. A study on the
solutions shows nonequilibrium steady states. The presence and stability of
such self-organized states are investigated in terms of entropy production.
Numerical simulations confirm analytical results.Comment: 23 pages, 10 figures, LaTeX, ep
Functional models for large-scale gene regulation networks: realism and fiction
High-throughput experiments are shedding light on the topology of large
regulatory networks and at the same time their functional states, namely the
states of activation of the nodes (for example transcript or protein levels) in
different conditions, times, environments. We now possess a certain amount of
information about these two levels of description, stored in libraries,
databases and ontologies. A current challenge is to bridge the gap between
topology and function, i.e. developing quantitative models aimed at
characterizing the expression patterns of large sets of genes. However,
approaches that work well for small networks become impossible to master at
large scales, mainly because parameters proliferate. In this review we discuss
the state of the art of large-scale functional network models, addressing the
issue of what can be considered as realistic and what the main limitations may
be. We also show some directions for future work, trying to set the goals that
future models should try to achieve. Finally, we will emphasize the possible
benefits in the understanding of biological mechanisms underlying complex
multifactorial diseases, and in the development of novel strategies for the
description and the treatment of such pathologies.Comment: to appear on Mol. BioSyst. 200
Hydrodynamic induced deformation and orientation of a microscopic elastic filament
We describe simulations of a microscopic elastic filament immersed in a fluid
and subject to a uniform external force. Our method accounts for the
hydrodynamic coupling between the flow generated by the filament and the
friction force it experiences. While models that neglect this coupling predict
a drift in a straight configuration, our findings are very different. Notably,
a force with a component perpendicular to the filament axis induces bending and
perpendicular alignment. Moreover, with increasing force we observe four shape
regimes, ranging from slight distortion to a state of tumbling motion that
lacks a steady state. We also identify the appearance of marginally stable
structures. Both the instability of these shapes and the observed alignment can
be explained by the combined action of induced bending and non-local
hydrodynamic interactions. Most of these effects should be experimentally
relevant for stiff micro-filaments, such as microtubules.Comment: three figures. To appear in Phys Rev Let
Early fate of exogenous promoters in E. coli
Gene gain by horizontal gene transfer is a major pathway of genome innovation in bacteria. The current view posits that acquired genes initially need to be silenced and that a bacterial chromatin protein, H-NS, plays a role in this silencing. However, we lack direct observation of the early fate of a horizontally transferred gene to prove this theory. We combine sequencing, flow cytometry and sorting, followed by microscopy to monitor gene expression and its variability after large-scale random insertions of a reporter gene in a population of Escherichia coli bacteria. We find that inserted promoters have a wide range of gene-expression variability related to their location. We find that high-expression clones carry insertions that are not correlated with H-NS binding. Conversely, binding of H-NS correlates with silencing. Finally, while most promoters show a common level of extrinsic noise, some insertions show higher noise levels. Analysis of these high-noise clones supports a scenario of switching due to transcriptional interference from divergent ribosomal promoters. Altogether, our findings point to evolutionary pathways where newly-acquired genes are not necessarily silenced, but may immediately explore a wide range of expression levels to probe the optimal ones
NuST: analysis of the interplay between nucleoid organization and gene expression
Different experimental results suggest the presence of an interplay between global transcriptional regulation and chromosome spatial organization in bacteria. The identification and clear visualization of spatial clusters of contiguous genes targeted by specific DNA-binding proteins or sensitive to nucleoid perturbations can elucidate links between nucleoid structure and gene expression patterns. Similarly, statistical analysis to assess correlations between results from independent experiments can provide the integrated analysis needed in this line of research. NuST (Nucleoid Survey tools), based on the Escherichia coli genome, gives the non-expert the possibility to analyze the aggregation of genes or loci sets along the genome coordinate, at different scales of observation. It is useful to discover correlations between different sources of data (e.g. expression, binding or genomic data) and genome organization. A user can use it on datasets in the form of gene lists coming from his/her own experiments or bioinformatic analyses, but also make use of the internal database, which collects data from many published studies. NuST is a web server (available at http://www.lgm.upmc.fr/nust/). The website is implemented in PHP, SQLite and Ajax, with all major browsers supported, while the core algorithms are optimized and implemented in C. NuST has an extensive help page and provides a direct visualization of results as well as different downloadable file formats. A template Perl code for automated access to the web server can be downloaded at http://www.lgm.upmc.fr/nust/downloads/, in order to allow the users to use NuST in systematic bioinformatic analyses
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